CN107704794A - A kind of processing method of information of vehicles, device and system - Google Patents
A kind of processing method of information of vehicles, device and system Download PDFInfo
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- CN107704794A CN107704794A CN201610643136.3A CN201610643136A CN107704794A CN 107704794 A CN107704794 A CN 107704794A CN 201610643136 A CN201610643136 A CN 201610643136A CN 107704794 A CN107704794 A CN 107704794A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
Abstract
The embodiment of the invention discloses a kind of processing method of information of vehicles, device and system;The embodiment of the present invention uses the information of vehicles that periodic receipt vehicle is sent, such as the information such as vehicles identifications, vehicle location, travel speed, acceleration, and/or driving time, then, the driving habit portrait of user according to corresponding to obtaining the vehicles identifications, according to the information of vehicles and driving habit portrait determine the vehicle driver be not the user when, sent a warning message to the user;The program can not only improve security, improve anti-theft effect, moreover, it is also possible to be tracked to stolen vehicle.
Description
Technical field
The present invention relates to communication technical field, and in particular to a kind of processing method of information of vehicles, device and system.
Background technology
With expanding economy, automobile is also increasingly popularization, and automobile burglar, also as people it is increasingly of interest one
Individual problem.
Traditional automobile burglar technology is mainly protected by mechanical antitheft lock or electronic type theftproof lock to automobile
Shield, still, these antitheft modes are easily cracked, and anti-theft effect is poor, and therefore, prior art has also been proposed relatively more intelligent
The anti-theft technique of change, such as chip type theftproof lock, network type theftproof lock, and bio-identification theftproof lock, etc..
Although existing anti-theft technique is more and more intelligent, the countermeasure techniques of cracksman also upgrade therewith, such as
Chip type theftproof lock, cracksman can typically be cracked using the security breaches of chip type theftproof lock to it, therefore, existing
Automobile burglar technical security it is not high, anti-theft effect is bad, moreover, after automobile is stolen, it is also difficult to which it is chased after
Track.
The content of the invention
The embodiment of the present invention provides a kind of processing method of information of vehicles, device and system, can improve security, improves
Anti-theft effect, moreover, it is also possible to be tracked to stolen vehicle.
The embodiment of the present invention provides a kind of processing method of information of vehicles, including:
The information of vehicles that periodic receipt vehicle is sent, the information of vehicles include vehicles identifications, vehicle location, traveling speed
Degree, acceleration, and/or driving time;
The driving habit portrait of user according to corresponding to obtaining the vehicles identifications, the driving habit portrait is according to driving
Record foundation forms, and the drive recorder includes a plurality of information of vehicles that the user is gathered when driving the vehicle;
Determine that the driver of the vehicle is not the use according to the information of vehicles received and driving habit portrait
During family, sent a warning message to the user.
Accordingly, the embodiment of the present invention also provides a kind of processing unit of information of vehicles, including:
Receiving unit, the information of vehicles sent for periodic receipt vehicle, the information of vehicles include vehicles identifications, car
Position, travel speed, acceleration, and/or driving time;
Acquiring unit, for the driving habit portrait of the user according to corresponding to vehicles identifications acquisition, described drive is practised
Used portrait is established according to drive recorder to be formed, and the drive recorder is gathered more including the user when driving the vehicle
Bar information of vehicles;
Alarm Unit, for determining the driving of the vehicle according to the information of vehicles received and driving habit portrait
When member is not the user, sent a warning message to the user.
In addition, the embodiment of the present invention also provides a kind of processing system of information of vehicles, including the embodiment of the present invention is provided
Any information of vehicles processing unit.
The embodiment of the present invention uses the information of vehicles that periodic receipt vehicle is sent, such as vehicles identifications, vehicle location, OK
The information such as speed, acceleration, and/or driving time are sailed, then, the driving habit of user according to corresponding to obtaining the vehicles identifications
Portrait, according to the information of vehicles and driving habit portrait determine the vehicle driver be not the user when, to the user send out
Warning information is sent, so as to reach antitheft purpose;Because the program periodically can be acquired and follow the trail of to information of vehicles,
And corresponding user is timely notified when occurring abnormal, therefore, even if cracksman has cracked the theftproof lock of vehicle, user also may be used
To know and be tracked in time, so, antitheft scheme is carried out simply by theftproof lock relative to prior art, should
Scheme can not only greatly improve security, improve anti-theft effect, moreover, it is also possible to be tracked to stolen vehicle, be advantageous to
Ensure the property safety of user.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, make required in being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for
For those skilled in the art, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings other attached
Figure.
Fig. 1 a are the schematic diagram of a scenario of the processing method of information of vehicles provided in an embodiment of the present invention;
Fig. 1 b are the schematic flow sheets of the processing method of information of vehicles provided in an embodiment of the present invention;
Fig. 2 is another schematic flow sheet of the processing method of information of vehicles provided in an embodiment of the present invention;
Fig. 3 a are the structural representations of the processing unit of information of vehicles provided in an embodiment of the present invention;
Fig. 3 b are another structural representations of the processing unit of information of vehicles provided in an embodiment of the present invention;
Fig. 4 is the structural representation of server provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, the every other implementation that those skilled in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
The embodiment of the present invention provides a kind of processing method of information of vehicles, device and system.
Wherein, the processing system of the information of vehicles can include any information of vehicles that the embodiment of the present invention is provided
Processing unit, the processing unit of the information of vehicles can be integrated in server, such as the equipment such as cloud server.In addition, should
The processing system of information of vehicles can also include other equipment, such as vehicle information collecting device, collecting vehicle information dress
Put and may be mounted in vehicle, be mainly used in the information of vehicles to place vehicle, such as the vehicles identifications of the vehicle, vehicle position
Put, the information such as travel speed, acceleration, and/or driving time is acquired, and the information of vehicles collected is sent into the car
The processing unit of information.
For example, so that the processing unit of the information of vehicles is specifically integrated in cloud server as an example, then referring to Fig. 1 a, it is arranged on
Vehicle information collecting device in each vehicle (such as vehicle A and vehicle B) can be respectively to vehicle (such as the vapour where itself
Car) the information such as vehicles identifications, vehicle location, travel speed, acceleration, and/or driving time carry out periodicity collection, such as
Every collection in one minute once, and a record is generated, for convenience, in embodiments of the present invention, by this record
A referred to as information of vehicles, then, the information of vehicles is reported into cloud server, by cloud server according to the information of vehicles
In vehicles identifications obtain corresponding to user driving habit portrait, and drawn a portrait according to the information of vehicles and the driving habit come it is true
Whether the driver of the fixed vehicle is the user, if the user, then need not be alarmed, further, it is also possible to according to the vehicle
Information is updated to driving habit portrait;Otherwise, if not the user, then send a warning message to the user, such as to
User terminal sends a warning message, to user remind, etc..
Wherein, driving habit portrait is established according to drive recorder forms, and the drive recorder includes the user should in driving
The a plurality of information of vehicles gathered during vehicle.
It is described in detail individually below.It should be noted that the sequence number of following examples is not as preferably suitable to embodiment
The restriction of sequence.
Embodiment one,
The angle of processing unit from information of vehicles is described the present embodiment, and the processing unit of the information of vehicles is specific
It can be integrated in server, such as the equipment such as cloud server.
A kind of processing method of information of vehicles, including:The information of vehicles that periodic receipt vehicle is sent, the information of vehicles bag
Include vehicles identifications, vehicle location, travel speed, acceleration, and/or driving time;The use according to corresponding to obtaining the vehicles identifications
The driving habit portrait at family, driving habit portrait is established according to drive recorder to be formed, and the drive recorder is being driven including the user
Sail a plurality of information of vehicles gathered during the vehicle;The vehicle is determined according to the information of vehicles received and driving habit portrait
Driver when not being the user, sent a warning message to the user.
As shown in Figure 1 b, the idiographic flow of the processing method of the information of vehicles can be as follows:
101st, the information of vehicles that periodic receipt vehicle is sent.
Wherein, when the information of vehicles can include vehicles identifications, vehicle location, travel speed, acceleration, and/or drive
Between etc., in addition, it can include other information, for example indicate whether the information using navigation, and the characteristic information of vehicle, etc.
Deng.Vehicles identifications can include the information such as registration number, car plate and/or the car owner's mark of vehicle, and the characteristic information of vehicle then may be used
With information such as the brand including vehicle, model and/or colors.
Wherein, the information of vehicles can be acquired by the vehicle information collecting device in vehicle, specifically be adopted
Mode set can have it is a variety of, such as, can by global positioning system (GPS, Global Positioning System), penetrate
Frequency identifies (RFID, Radio Frequency Identification), sensor, and/or images first-class equipment to be adopted
Collection, etc..
It should be noted that the cycle can be configured according to the demand of practical application, such as, it can set every 3 points
Clock receives information of vehicles that a vehicle is sent, etc..
Optionally, for the ease of being managed to more vehicles, can be filled in advance in the processing of the information of vehicles by user
In putting, the vehicle being monitored to needs is bound, i.e., before the information of vehicles that vehicle is sent is received, the information of vehicles
Processing method can also include:
Receive user bind request, the bind request carry user mark and vehicles identifications, establish the user mark and
The incidence relation of vehicles identifications, and preserve the incidence relation.
So, subsequently can be to be monitored according to the incidence relation to the vehicle of relative users and to corresponding car
Information is managed.
102nd, the driving habit of user according to corresponding to obtaining the vehicles identifications is drawn a portrait.
For example, it is corresponding can be obtained according to the user's mark and the incidence relation of vehicles identifications preserved for the vehicles identifications
User mark, and according to the user identify obtain corresponding to user driving habit portrait.
Wherein, driving habit portrait is established according to drive recorder forms, and the drive recorder can driven including the user
Sail a plurality of information of vehicles gathered during the vehicle.
Because each user has the driving habit of uniqueness, including drive route, drive speed, brake, step on oil
Door and honk, etc..For example, everyone drive route and the work of itself are closely related.General work race exists
The workaday morning peak time is all to leave for company from family, is all from company's home, James in the evening peak time;And brake and step on oil
The custom of door is relevant with personality.The irritable people of personality is easier fierce braking and fly start, and the cagey people of personality drives to compare
It is steady, etc..It can be seen that driving habit is similar to the biological information of people, everyone is different.When automobile is stolen, cracksman's
Driving habit and the normal driving habit of car owner can make a big difference, so, can be by being established for the driving habit of car owner
Portrait, to judge whether Current vehicle is driven by car owner.
Wherein, initial driving habit portrait can be established in advance by system, can also voluntarily be built by system
Vertical, i.e., after step " information of vehicles that periodic receipt vehicle is sent ", the processing method of the information of vehicles can also include:
The driving habit portrait of user according to corresponding to determining whether there is the vehicles identifications, should if so, then performing basis
The step of driving habit of user is drawn a portrait corresponding to vehicles identifications acquisition (i.e. step 102);If it is not, then the vehicle received is believed
Breath is added in the drive recorder of corresponding user, and the driving habit that user is established according to drive recorder is drawn a portrait.
Wherein, according to drive recorder establish the mode that the driving habit of user draws a portrait can have it is a variety of, for example, specifically can be with
It is as follows:
(1) various information in the information of vehicles that receives is combined, and calculates the combination and go out in drive recorder
Existing probability, obtains combined probability.
If by each category information in information of vehicles regard as a characteristic dimension (i.e. " vehicles identifications ", " vehicle location ",
" travel speed " " acceleration ", " driving time " etc. are respectively as a characteristic dimension), then the combined probability is all feature dimensions
There is the probability of particular combination in degree.
If for example, various information is combined as that " vehicles identifications=XXXX, vehicle location=South Mountain are big in the information of vehicles
Road, travel speed=100km/h, 10 points of driving time=morning, acceleration=- 5m/s^2 | car owner=Peng so-and-so ", then the car
Combined probability corresponding to information can be expressed as:P (vehicles identifications=XXXX, vehicle location=South Mountain main road, travel speed
=100km/h, 10 points of driving time=morning, acceleration=- 5m/s^2 | car owner=Peng so-and-so), i.e., vehicles identifications are " XXXX "
Peng car owner so-and-so, 10 points of travel speeds with 100km/h in the morning, what -5m/s^2 acceleration travelled on the main road of South Mountain
Probability.Wherein, the mode for calculating combined probability P can be as follows:
All record number y in number x divided by drive recorder that the combination occurs.
For example if share 10 record (i.e. 10 cars in so-and-so corresponding drive recorder when driving the vehicle of Peng car owner
Information), wherein 2 are recorded as that " vehicles identifications=XXXX, vehicle location=South Mountain main road, travel speed=100km/h, drive
Sail the time=10 points of morning, acceleration=- 5m/s^2 ", then combined probability P (vehicles identifications=XXXX, vehicle location=South Mountain
Main road, travel speed=100km/h, 10 points of driving time=morning, acceleration are -5m/s^2 | car owner=Peng so-and-so)=x/y
=2/10=0.2.
(2) probability that the various information occurs in drive recorder is calculated respectively, obtains underlying probabilities.
If regard each category information in information of vehicles as a characteristic dimension (i.e. " vehicles identifications ", " position ", " traveling
Speed " " acceleration ", " driving time " etc. are respectively as a characteristic dimension), then the underlying probabilities can be that single feature is tieed up
There is the probability of particular value in degree.
For example, " if vehicle location=South Mountain main road | car owner=Peng so-and-so ", the underlying probabilities corresponding to " vehicle location "
It can be expressed as:P (vehicle location=South Mountain main road | car owner=Peng so-and-so), i.e. Peng car owner so-and-so driven on the main road of South Mountain
Probability.Wherein, the mode for calculating the underlying probabilities can be as follows:
All record number y in number k divided by drive recorder that particular value occurs.
For example if share 10 record (i.e. 10 cars in so-and-so corresponding drive recorder when driving the vehicle of Peng car owner
Information), wherein the positions of 5 records are South Mountain main roads, then P (vehicle location=South Mountain main road | car owner=Peng so-and-so)=k/y
=5/10=0.5.
(3) driving habit that user is generated according to the combined probability and underlying probabilities is drawn a portrait.
For example, the corresponding relation with combined probability can will be specifically combined, and various information and the correspondence of underlying probabilities
During relation is drawn a portrait added to driving habit, such as, it can record as follows:
P (vehicles identifications=XXXX, vehicle location=South Mountain main road, travel speed=100km/h, driving time=morning
10 points, acceleration=- 5m/s^2 | car owner=Peng so-and-so)=0.2;
P (vehicle location=South Mountain main road | car owner=Peng so-and-so)=0.5;
P (travel speed=100km/h | car owner=Peng so-and-so)=..., by that analogy, etc..
103rd, determine that the driver of the vehicle is not the user according to the information of vehicles received and driving habit portrait
When, sent a warning message to the user.
For example can be sent a warning message to the user terminal of the user preset, etc..Wherein, send a warning message
Mode can have it is a variety of, such as, instant message of short message, multimedia message, mail, PUSH message, and/or social networks etc. can be passed through
Mode sends a warning message to user.In addition, the form of the warning information can also be regardless of, such as, can be text information, language
Message breath, and/or pictorial information, etc..
Wherein, determine whether the driver of the vehicle is the use according to the information of vehicles received and driving habit portrait
The mode at family can have it is a variety of, such as, can be as follows:
The score of the driver of the vehicle is calculated according to the information of vehicles received and driving habit portrait, if the score
Less than predetermined threshold value, it is determined that the driver of the vehicle is not the user;Otherwise, if the score is not less than predetermined threshold value, really
The driver of the fixed vehicle is the user.
Wherein, the predetermined threshold value can be configured according to the demand of practical application, will not be repeated here.
For example, so that driving habit portrait includes combined probability and underlying probabilities as an example, then step is " according to the vehicle received
Information and driving habit portrait calculate the score of the driver of the vehicle " it can include:
Various information in the information of vehicles that receives is combined, determines to whether there is the group in driving habit portrait
Close, if in the presence of using combined probability corresponding to the combination as the score of the driver of the vehicle;If being not present, calculating should
The product of underlying probabilities corresponding to various information, the score using the product as the driver of the vehicle.
Optionally, if determining that the driver of the vehicle is the user according to the information of vehicles and driving habit portrait,
The driving habit portrait of the user can be updated according to the information of vehicles received, for example, specifically can be as follows:
The information of vehicles received is added in drive recorder, drive recorder after being updated;To the vehicle received
Various information in information is combined;The probability that the combination occurs in drive recorder in the updated is calculated, obtains present combination
Probability;The probability that the various information occurs in drive recorder in the updated is calculated respectively, obtains current basal probability;According to deserve
Preceding combined probability and current basal probability are updated to the combined probability in driving habit portrait and underlying probabilities.
Such as if in driving habit portrait, P (vehicles identifications=XXXX, vehicle location=South Mountain main road, travel speed
=100km/h, 10 points of driving time=morning, acceleration are -5m/s^2 | car owner=Peng so-and-so)=0.1, and according to calculate can
Know, the present combination probability of the combination is 0.2, then at this point it is possible to which (vehicles identifications=XXXX, vehicle location=South Mountain are big by P
Road, travel speed=100km/h, 10 points of driving time=morning, acceleration are -5m/s^2 | car owner=Peng so-and-so) value renewal
For " 0.2 ", by that analogy, etc..
Optionally, in order to improve the accuracy of identification, and avoid that user is caused to harass, alarm letter is being sent to user
After breath, the response message of user return can also be received, if the response message indicates that the driver of the vehicle is the user,
Then stop sending a warning message to the user in preset time, otherwise, if the response message indicates the driver of the vehicle not
It is the user, then sends a warning message to default equipment and the vehicle location.
Wherein, the preset time can be configured according to the demand of practical application, such as, it could be arranged to half an hour
Or hour, etc., it will not be repeated here.
Wherein, the default equipment can also be configured according to the demand of practical application, such as, can be the police electricity
Words, even the response message indicates that the driver of the vehicle is not the user, then is alarmed automatically, and the positioning of vehicle is believed
Breath (i.e. vehicle location) is supplied to police, etc..
From the foregoing, it will be observed that the present embodiment uses the information of vehicles that periodic receipt vehicle is sent, such as vehicles identifications, vehicle position
Put, the information such as travel speed, acceleration, and/or driving time, then, user's drives according to corresponding to obtaining the vehicles identifications
Sail custom portrait, according to the information of vehicles and driving habit portrait determine the vehicle driver be not the user when, to this
User sends a warning message, so as to reach antitheft purpose;Because the program periodically can be acquired to information of vehicles
And tracking, and corresponding user is timely notified when occurring abnormal, and therefore, even if cracksman has cracked the theftproof lock of vehicle,
User can also know and be tracked in time, so, carry out antitheft side simply by theftproof lock relative to prior art
Case, the program can greatly improve security, improve anti-theft effect, moreover, it is also possible to be tracked to stolen vehicle, have
Beneficial to the property safety for ensureing user.
Embodiment two,
According to the method described by embodiment one, citing is described in further detail below.
In the present embodiment, will be using the vehicle as vehicle A, and the processing unit of information of vehicles is specifically integrated in cloud service
Illustrated exemplified by device.
As shown in Fig. 2 a kind of processing method of information of vehicles, idiographic flow can be as follows:
201st, vehicle A gathers the information of vehicles of itself (i.e. vehicle A) according to the default cycle.
Wherein, the information of vehicles can include vehicles identifications, vehicle location, travel speed, acceleration, driving time and/
Or whether use the information such as navigation.
For example, corresponding vehicle information collecting device can be installed in vehicle A, then, pass through the collecting vehicle information
Device, vehicle A information of vehicles is acquired according to the default cycle.Wherein, vehicle information collecting device is acquired
Mode can have it is a variety of, such as, can be acquired, etc. by GPS, RFID, sensor, and/or the first-class equipment of shooting.
Wherein, the default cycle then can depending on the demand of practical application, such as, could be arranged to 1 minute,
That is, information of vehicles of collection in each minute, etc..
202nd, the information of vehicles collected is sent to cloud server by vehicle A.
For example, the information of vehicles that be able to will be specifically collected by the vehicle information collecting device in vehicle A, is sent out by network
Give cloud server, etc..
203rd, after cloud server receives the information of vehicles of vehicle A transmissions, determined whether there is according to the vehicles identifications
The driving habit portrait of corresponding user, if in the presence of, step 205 is performed, if being not present, execution step 204.
For example, cloud server can obtain the car according to the user's mark and the incidence relation of vehicles identifications preserved
Mark corresponding to user mark, and according to the user identify obtain corresponding to user driving habit portrait.
Wherein, the incidence relation can be stored in advance in cloud server, or, it can also be tied up by user by initiating
It is fixed to ask to be established, specifically can be as follows:
Cloud server receives the bind request of user, wherein, the bind request carries user's mark and vehicle A vehicle
Mark, then, the incidence relation of user mark and vehicles identifications is established, and preserve the incidence relation.
So, after vehicle A information of vehicles is received, the vehicle can be obtained with the incidence relation according to the preservation
User corresponding to mark is identified, and the driving habit of user according to corresponding to the user identifies acquisition is drawn a portrait.
204th, when cloud server determines to be not present the driving habit portrait of corresponding user, the information of vehicles that will receive
Added in the drive recorder of corresponding user, the driving habit that user is established according to drive recorder is drawn a portrait, and then, return performs step
Rapid 201, for example, specifically can be as follows:
(1) various information in the information of vehicles that receives is combined, and calculates the combination and go out in drive recorder
Existing probability, obtains combined probability.
If for example, " vehicles identifications=1234, vehicle location=depth south are big for being combined as of various information in the information of vehicles
Road, travel speed=100km/h, in 10 points of driving time=morning, acceleration=- 5m/s^2, use navigation=no | car owner=
Three ", then the combined probability corresponding to the information of vehicles can be expressed as:(vehicles identifications=1234, vehicle location=depth south are big by P
Road, travel speed=100km/h, in 10 points of driving time=morning, acceleration=- 5m/s^2, use navigation=no | car owner=
Three), i.e., vehicles identifications are the car owner Zhang San of " 1234 ", in the morning 10 points of travel speeds with 100km/h, -5m/s^2 acceleration
Degree, and the probability for not using navigation to be travelled on Shen Nan.Wherein, the mode for calculating combined probability P can be as follows:
All record number y in number x divided by drive recorder that the combination occurs.
For example if share 10 record (i.e. 10 vehicles in car owner Zhang San drive recorder corresponding when driving the vehicle
Information), wherein 5 are recorded as " vehicles identifications=1234, vehicle location=Shen Nan, travel speed=100km/h, driving
In 10 points of time=morning, acceleration=- 5m/s^2, use navigation=no ", then combined probability P (vehicles identifications=1234, car
Position=Shen Nan, travel speed=100km/h, in 10 points of driving time=morning, acceleration is -5m/s^2, using leading
Boat=no | car owner=Zhang San)=x/y=5/10=0.5.
(2) probability that the various information occurs in drive recorder is calculated respectively, obtains underlying probabilities, wherein, calculating should
The mode of underlying probabilities can be as follows:
All record number y in number k divided by drive recorder that particular value occurs.
If for example, " vehicle location=Shen Nan | car owner=Zhang San ", the underlying probabilities corresponding to " vehicle location " can
To be expressed as:P (vehicle location=Shen Nan | car owner=Zhang San), i.e., the probability that car owner Zhang San drives on Shen Nan;If
10 records (i.e. 10 information of vehicles) are shared in car owner Zhang San drive recorder corresponding when driving the vehicle, wherein 6 notes
The position of record is Shen Nan, then P (vehicle location=Shen Nan | car owner=Zhang San)=k/y=6/10=0.6.
In another example if " travel speed=100km/h | car owner=Zhang San ", the underlying probabilities corresponding to " travel speed "
It can be expressed as:P (travel speed=100km/h | car owner=Zhang San), i.e., car owner Zhang San is driven with 100km/h speed
Probability;If sharing 10 records (i.e. 10 information of vehicles) in car owner Zhang San drive recorder corresponding when driving the vehicle,
The travel speeds of wherein 3 records are 100km/h, then P (travel speed=100km/h | car owner=Zhang San)=k/y=3/10=
0.3。
(3) driving habit that user is generated according to the combined probability and underlying probabilities is drawn a portrait.
For example, the corresponding relation with combined probability can will be specifically combined, and various information and the correspondence of underlying probabilities
During relation is drawn a portrait added to driving habit, such as, it can record as follows:
P (vehicles identifications=XXXX, vehicle location=Shen Nan, travel speed=100km/h, driving time=morning
10 points, acceleration=- 5m/s^2, using navigation=it is no | car owner=Zhang San)=0.5;
P (vehicle location=Shen Nan | car owner=Zhang San)=0.6;
P (travel speed=100km/h | car owner=Zhang San)=0.3;
P (10 points of driving time=morning | car owner=Zhang San)=..., by that analogy, etc..
205th, when cloud server determines the driving habit portrait of user corresponding to presence, according to the information of vehicles received
The score of the driver of the vehicle (i.e. vehicle A) is calculated with driving habit portrait, if the score is not less than predetermined threshold value, really
The driver of the fixed vehicle is the user (such as Zhang San in step 204), performs step 206;Otherwise, if the score is less than pre-
If threshold value, it is determined that the driver of the vehicle is not the user, performs step 207.
Wherein, the predetermined threshold value can be configured according to the demand of practical application, will not be repeated here.
For example, so that driving habit portrait includes combined probability and underlying probabilities as an example, then step is " according to the vehicle received
Information and driving habit portrait calculate the score of the driver of the vehicle " specifically can be as follows:
Various information in the information of vehicles that receives is combined, determines to whether there is the group in driving habit portrait
Close, if in the presence of using combined probability corresponding to the combination as the score of the driver of the vehicle;If being not present, calculating should
The product of underlying probabilities corresponding to various information, the score using the product as the driver of the vehicle.
For example " vehicles identifications=XXXX, vehicle location=Shen Nan, travel speed=100km/h, driven with combination
10 points of time=morning, acceleration are -5m/s^2, using navigation=it is no | car owner=Zhang San " exemplified by, if the driving habit of user
The combination in portrait be present, and the combined probability of the combination is " 0.5 ", then now, the driver of the vehicle is scored at
“0.5”;Otherwise, if the combination is not present in the driving habit portrait of user, and P (vehicle location=Shen Nan | car owner=
Three)=0.6, P (travel speed=100km/h | car owner=Zhang San)=0.3, P (10 points of driving time=morning | car owner=
Three)=0.5, P (acceleration=- 5m/s^2 | car owner=Zhang San)=0.5, P (use navigation=no | car owner=Zhang San)=0.4,
Then at this point it is possible to calculate the product of multiple underlying probabilities, and the score using the product as the driver of the vehicle, i.e. 0.6*
0.3*0.5*0.5*0.4=0.018.
206th, when the score of the driver of the vehicle is not less than predetermined threshold value, cloud server is according to the vehicle received
Information is updated to the driving habit portrait of the user, then, is returned and is performed step 201.For example, specifically can be as follows:
The information of vehicles received is added in drive recorder by cloud server, drive recorder after being updated;Docking
Various information in the information of vehicles received is combined;The probability that the combination occurs in drive recorder in the updated is calculated, is obtained
To present combination probability;The probability that the various information occurs in drive recorder in the updated is calculated respectively, and it is general to obtain current basal
Rate;Combined probability and underlying probabilities in being drawn a portrait according to the current combined probability and current basal probability to driving habit are carried out more
Newly.
Such as if in driving habit portrait, P (vehicles identifications=123, vehicle location=Shen Nan, travel speed=
100km/h, 10 points of driving time=morning, acceleration are -5m/s^2, use navigation=no | car owner=Zhang San)=0.4, and root
Understood according to calculating, the present combination probability of the combination is 0.5, then at this point it is possible to by P (vehicles identifications=1234, vehicle location=
Shen Nan, travel speed=100km/h, 10 points of driving time=morning, acceleration are -5m/s^2, using navigation=it is no | car
Master=Zhang San) value be updated to " 0.5 ", by that analogy, etc..
Again for example, if in driving habit portrait, P (vehicle location=Shen Nan | car owner=Zhang San)=0.5, and root
Understood according to calculating, the underlying probabilities corresponding to the vehicle location " Shen Nan " are " 0.6 ", then at this point it is possible to by P (vehicle positions
Put=Shen Nan | car owner=Zhang San) " 0.6 " is updated to, by that analogy, etc..
207th, when the score of the driver of the vehicle is less than predetermined threshold value, cloud server sends alarm letter to the user
Breath, such as, cloud server can send a warning message to user (such as Zhang San) the default user terminal, etc., then
Return and perform step 201.
Wherein, the mode to send a warning message can have it is a variety of, such as, can be disappeared by short message, multimedia message, mail, push
The modes such as the instant message of breath, and/or social networks send a warning message to user.
In addition, the form of the warning information can also have it is a variety of, such as, can be text information, voice messaging, and/or
Pictorial information, etc..
Optionally, in order to improve the accuracy of identification, and avoid that user is caused to harass, alarm letter is being sent to user
After breath, the response message of user return can also be received, if the response message indicates that the driver of the vehicle is the user,
Then in preset time, for example it can stop sending a warning message to the user within a hour, otherwise, if the response disappears
Breath indicates that the driver of the vehicle is not the user, then sends a warning message to default equipment and the vehicle location, such as, can be with
Sent a warning message to the police, and the location information (i.e. vehicle location) of vehicle is supplied to police, etc..
It should be noted that during stopping sending a warning message to user, cloud server can continue to vehicle A
The information of vehicles of transmission, and whether be this to vehicle A driver according to information of vehicles and the driving habit portrait received
User is judged, still, when it is determined that driver is the user, without being sent a warning message to user;Optionally, for letter
Change operation, save resource, cloud server, can not also be to vehicle A driving after the information of vehicles that vehicle A is sent is received
Whether member is that the user is judged, but directly ignores the information of vehicles, be will not be repeated here.
From the foregoing, it will be observed that the present embodiment can install vehicle information collecting device in vehicle, the vehicle is periodically gathered
Information of vehicles, for example, vehicles identifications, vehicle location, travel speed, acceleration, driving time, and/or whether using navigation etc.,
And the information of vehicles is supplied to cloud server, as the driving of cloud server user according to corresponding to obtaining the vehicles identifications
Custom portrait, then, scored based on driving habit portrait for the current driver's of the vehicle, if score is less than default threshold
Value, then it represents that current driver's are not the users, are sent a warning message to the user, so as to reach antitheft purpose;Due to this
Scheme periodically can be acquired and follow the trail of to information of vehicles, and timely notify corresponding user when occurring abnormal,
Therefore, even if cracksman has cracked the theftproof lock of vehicle, user can also be known and be tracked in time, so, relative to existing
There is technology simply by theftproof lock to carry out antitheft scheme, the program can greatly improve security, improve antitheft effect
Fruit, moreover, it is also possible to be tracked to stolen vehicle, be advantageous to ensure the property safety of user.
Further, because the program is after it is determined that vehicle is stolen, can also be alarmed automatically, and by location information
Be supplied to the police, accordingly, with respect to it is existing can only be reported a case to the security authorities manually for, operation it is more easy, flexibility is higher.
Embodiment three,
In order to which above method is better achieved, the embodiment of the present invention also provides a kind of processing unit of information of vehicles, such as schemes
Shown in 3a, the processing unit of the information of vehicles includes receiving unit 301, acquiring unit 302 and Alarm Unit 303, including:
(1) receiving unit 301;
Receiving unit 301, the information of vehicles sent for periodic receipt vehicle.
Wherein, the information of vehicles includes vehicles identifications, vehicle location, travel speed, acceleration, driving time, and/or referred to
Whether show using information of navigation, etc..
Wherein, the information of vehicles can be acquired by the vehicle information collecting device in vehicle, specifically be adopted
Mode set can have it is a variety of, such as, can be acquired by GPS, RFID, sensor, and/or the first-class equipment of shooting, etc.
Deng.
It should be noted that the cycle can be configured according to the demand of practical application, such as, it can set every 1 point
Clock receives information of vehicles that a vehicle is sent, etc..
(2) acquiring unit 302;
Acquiring unit 302, the driving habit portrait for the user according to corresponding to vehicles identifications acquisition.
Wherein, driving habit portrait is established according to drive recorder forms, and the drive recorder can driven including the user
Sail a plurality of information of vehicles gathered during the vehicle.Initial driving habit portrait can be established in advance by system, also may be used
Voluntarily to be established by system, i.e., as shown in Figure 3 b, the processing unit of the information of vehicles can also include the He of determining unit 304
Unit 305 is established, it is as follows:
Determining unit 304, the driving habit that can be used for the user according to corresponding to determining whether there is the vehicles identifications are drawn
Picture.
Acquiring unit 302, it specifically can be used for determining that the driving habit of user corresponding to presence is drawn in the determining unit 304
During picture, the driving habit portrait of user according to corresponding to obtaining the vehicles identifications.
Unit 305 is established, when the driving habit for determining the user in the absence of corresponding in the determining unit 304 is drawn a portrait,
The information of vehicles received is added in the drive recorder of corresponding user, the driving habit that user is established according to drive recorder is drawn
Picture.
For example, this establishes unit 306, specifically can be used for carrying out group to the various information in the information of vehicles that receives
Close, and calculate the probability that the combination occurs in drive recorder, obtain combined probability;The various information is calculated respectively is driving note
The probability occurred in record, obtains underlying probabilities;Drawn a portrait according to the driving habit of the combined probability and underlying probabilities generation user, tool
Body can be found in embodiment of the method above, will not be repeated here.
(3) Alarm Unit 303;
Alarm Unit 303, for determining the driving of the vehicle according to the information of vehicles received and driving habit portrait
When member is not the user, sent a warning message to the user.
For example Alarm Unit 303 can send a warning message, etc. to the user terminal of the user preset.
Wherein, the mode to send a warning message can have it is a variety of, such as, can be disappeared by short message, multimedia message, mail, push
The modes such as the instant message of breath, and/or social networks send a warning message to user.In addition, the form of the warning information also may be used
With including a variety of, such as, can be text information, voice messaging, and/or pictorial information, etc..
Wherein, determine whether the driver of the vehicle is the use according to the information of vehicles received and driving habit portrait
The mode at family can have it is a variety of, such as, whether the driver that the vehicle can be also determined by way of scoring is the user, i.e.,
As shown in Figure 3 b, the processing unit of the information of vehicles can also include scoring unit 306, as follows:
Score unit 306, for calculating the driving of the vehicle according to the information of vehicles received and driving habit portrait
The score of member, if the score is less than predetermined threshold value, the driver for determining the vehicle is not the user;If the score is not less than pre-
If threshold value, it is determined that the driver of the vehicle is the user.
Then now, Alarm Unit 303, specifically can be used for when the fraction that the unit 306 that scores obtains is less than predetermined threshold value,
Sent a warning message to the user.
Wherein, the predetermined threshold value can be configured according to the demand of practical application, will not be repeated here.
For example, so that driving habit portrait includes combined probability and underlying probabilities as an example, then the scoring unit 306, specifically may be used
For:
Various information in the information of vehicles that receives is combined;Determine to whether there is the group in driving habit portrait
Close;If in the presence of using combined probability corresponding to the combination as the score of the driver of the vehicle;If being not present, calculating should
The product of underlying probabilities corresponding to various information, the score using the product as the driver of the vehicle.
Optionally, if determining that the driver of the vehicle is the user according to the information of vehicles and driving habit portrait,
The driving habit portrait of the user can be updated according to the information of vehicles received, i.e., as shown in Figure 3 b, vehicle letter
The processing unit of breath can also include updating block 307, as follows:
Updating block 307, it can be used for determining the driving of the vehicle according to the information of vehicles and driving habit portrait
When member is the user, such as, when the fraction that the unit 306 that scores obtains is not less than predetermined threshold value, believed according to the vehicle received
Cease and the driving habit portrait of the user is updated.
For example, so that driving habit portrait includes combined probability and underlying probabilities as an example, then:
The updating block 307, it specifically can be used for the information of vehicles received being added in drive recorder, updated
Drive recorder afterwards;Various information in the information of vehicles that receives is combined;Calculate combination drive recorder in the updated
The probability of middle appearance, obtain present combination probability;The probability that the various information occurs in drive recorder in the updated is calculated respectively,
Obtain current basal probability;Combined probability in being drawn a portrait according to the current combined probability and current basal probability to driving habit and
Underlying probabilities are updated.
Optionally, as shown in Figure 3 b, the processing unit of the information of vehicles can also include binding unit 308, as follows:
Receiving unit 301, can be also used for receiving the bind request of user, and the bind request carries user's mark and vehicle
The information such as mark;
It binding unit 308, can be used for the incidence relation for establishing user mark and vehicles identifications, and preserve association pass
System;
Then now, acquiring unit 302, it specifically can be used for the user according to corresponding to the incidence relation obtains the vehicles identifications
Mark, the driving habit portrait of user corresponding to obtaining is identified according to the user.
Optionally, as shown in Figure 3 b, the processing unit of the information of vehicles can also include processing unit 309, as follows:
The processing unit 309, after being sent a warning message in Alarm Unit to user, receive the sound of user return
Message is answered, if the response message indicates that the driver of the vehicle is the user, stops sending to the user in preset time
Warning information;If the response message indicates that the driver of the vehicle is not the user, send a warning message to default equipment and
The vehicle location.
Wherein, the preset time can be configured according to the demand of practical application, such as, it could be arranged to half an hour
Or hour, etc., it will not be repeated here.
Wherein, the default equipment can also be configured according to the demand of practical application, such as, can be the police electricity
Words, even the response message indicates that the driver of the vehicle is not the user, then processing unit 309 is alarmed automatically, and will
The location information (i.e. vehicle location) of vehicle is supplied to police, etc..
When it is implemented, above unit can be realized as independent entity, can also be combined, as
Same or several entities realize that the specific implementation of above unit can be found in embodiment of the method above, herein no longer
Repeat.
The processing unit of the information of vehicles can be specifically integrated in server, such as the equipment such as cloud server.
From the foregoing, it will be observed that the receiving unit 301 of the processing unit of the information of vehicles of the present embodiment can be with periodic receipt vehicle
The information of vehicles of transmission, such as the information such as vehicles identifications, vehicle location, travel speed, acceleration, and/or driving time, so
Afterwards, drawn a portrait as the driving habit of the user according to corresponding to obtaining the vehicles identifications of acquiring unit 302, according to the information of vehicles and
When the driver of the driving habit portrait determination vehicle is not the user, sent a warning message from Alarm Unit 303 to the user,
So as to reach antitheft purpose;Because the program periodically can be acquired and follow the trail of to information of vehicles, and it is different in generation
Corresponding user is timely notified when often, therefore, even if cracksman has cracked the theftproof lock of vehicle, user can also be known in time
And be tracked, so, antitheft scheme is carried out simply by theftproof lock relative to prior art, the program can be big
It is big to improve security, improve anti-theft effect, moreover, it is also possible to be tracked to stolen vehicle, be advantageous to ensure the property of user
Safety.
Example IV,
Accordingly, the embodiment of the present invention also provides a kind of processing system of information of vehicles, including the embodiment of the present invention is carried
The processing unit of any information of vehicles supplied, for details, reference can be made to embodiment three, wherein, the processing unit of the information of vehicles is specific
It can be integrated in server, such as cloud server, for example, can be as follows:
Server, the information of vehicles sent for periodic receipt vehicle, the information of vehicles include vehicles identifications, vehicle position
Put, travel speed, acceleration, and/or driving time;The driving habit portrait of user according to corresponding to obtaining the vehicles identifications,
Driving habit portrait is established according to drive recorder to be formed, and the drive recorder includes what the user was gathered when driving the vehicle
A plurality of information of vehicles;Determine that the driver of the vehicle is not the user according to the information of vehicles received and driving habit portrait
When, sent a warning message to the user.
The server, it can be also used for when it is determined that the driving habit in the absence of corresponding user is drawn a portrait, by what is received
Information of vehicles is added in the drive recorder of corresponding user, and the driving habit that user is established according to drive recorder is drawn a portrait.
The server, it can be also used for determining the driver of the vehicle according to the information of vehicles and driving habit portrait
For the user when, the driving habit of user portrait is updated according to the information of vehicles received.
Optionally, the processing system of the information of vehicles can also include other equipment, such as vehicle information collecting device,
It is as follows:
Vehicle information collecting device, believe for being acquired to the information of vehicles of place vehicle, and by the vehicle collected
Breath is sent to server.
The specific implementation of each equipment can be found in embodiment above above, will not be repeated here.
By the processing system of the information of vehicles can be including any information of vehicles that the embodiment of the present invention is provided
Processing unit, it is thereby achieved that achieved by the processing unit for any information of vehicles that the embodiment of the present invention is provided
Beneficial effect, embodiment above is referred to, will not be repeated here.
Embodiment five,
The embodiment of the present invention also provides a kind of server, as shown in figure 4, it illustrates the clothes involved by the embodiment of the present invention
The structural representation of business device, specifically:
The server can include one or processor 401, one or more meters of more than one processing core
Memory 402, radio frequency (Radio Frequency, RF) circuit 403, power supply 404, the input block of calculation machine readable storage medium storing program for executing
The part such as 405 and display unit 406.It will be understood by those skilled in the art that the server architecture shown in Fig. 4 not structure
The restriction of paired server, it can include than illustrating more or less parts, either combine some parts or different portions
Part is arranged.Wherein:
Processor 401 is the control centre of the server, utilizes each of various interfaces and the whole server of connection
Part, by running or performing the software program and/or module that are stored in memory 402, and call and be stored in memory
Data in 402, the various functions and processing data of execute server, so as to carry out integral monitoring to server.Optionally, locate
Reason device 401 may include one or more processing cores;Preferably, processor 401 can integrate application processor and modulatedemodulate is mediated
Device is managed, wherein, application processor mainly handles operating system, user interface and application program etc., and modem processor is main
Handle radio communication.It is understood that above-mentioned modem processor can not also be integrated into processor 401.
Memory 402 can be used for storage software program and module, and processor 401 is stored in memory 402 by operation
Software program and module, so as to perform various function application and data processing.Memory 402 can mainly include storage journey
Sequence area and storage data field, wherein, storing program area can storage program area, the application program (ratio needed at least one function
Such as sound-playing function, image player function) etc.;Storage data field can store uses created data according to server
Deng.In addition, memory 402 can include high-speed random access memory, nonvolatile memory can also be included, for example, at least
One disk memory, flush memory device or other volatile solid-state parts.Correspondingly, memory 402 can also include
Memory Controller, to provide access of the processor 401 to memory 402.
RF circuits 403 can be used for during receiving and sending messages, the reception and transmission of signal, especially, by the descending letter of base station
After breath receives, transfer to one or more than one processor 401 is handled;In addition, it is sent to base station by up data are related to.It is logical
Often, RF circuits 403 include but is not limited to antenna, at least one amplifier, tuner, one or more oscillators, user identity
Module (SIM) card, transceiver, coupler, low-noise amplifier (LNA, Low Noise Amplifier), duplexer etc..This
Outside, RF circuits 403 can also be communicated by radio communication with network and other equipment.The radio communication can use any logical
Beacon standard or agreement, including but not limited to global system for mobile communications (GSM, Global System of Mobile
Communication), general packet radio service (GPRS, General Packet Radio Service), CDMA
(CDMA, Code Division Multiple Access), WCDMA (WCDMA, Wideband Code
Division Multiple Access), Long Term Evolution (LTE, Long Term Evolution), Email, short message clothes
It is engaged in (SMS, Short Messaging Service) etc..
Server also includes the power supply 404 (such as battery) to all parts power supply, it is preferred that power supply 404 can pass through
Power-supply management system and processor 401 are logically contiguous, so as to realize management charging, electric discharge, Yi Jigong by power-supply management system
The functions such as consumption management.Power supply 404 can also include one or more direct current or AC power, recharging system, power supply
The random component such as failure detector circuit, power supply changeover device or inverter, power supply status indicator.
The server may also include input block 405, and the input block 405 can be used for the numeral for receiving input or character letter
Breath, and generation is set with user and function control is relevant keyboard, mouse, action bars, optics or trace ball signal are defeated
Enter.Specifically, in a specific embodiment, input block 405 may include touch sensitive surface and other input equipments.It is touch-sensitive
Surface, also referred to as touch display screen or Trackpad, collect user on or near it touch operation (such as user use
The operation of any suitable object such as finger, stylus or annex on touch sensitive surface or near touch sensitive surface), and according to advance
The formula of setting drives corresponding attachment means.Optionally, touch sensitive surface may include touch detecting apparatus and touch controller two
Individual part.Wherein, the touch orientation of touch detecting apparatus detection user, and the signal that touch operation is brought is detected, signal is passed
Give touch controller;Touch controller receives touch information from touch detecting apparatus, and is converted into contact coordinate, then
Give processor 401, and the order sent of reception processing device 401 and can be performed.Furthermore, it is possible to using resistance-type, electric capacity
The polytypes such as formula, infrared ray and surface acoustic wave realize touch sensitive surface.Except touch sensitive surface, input block 405 can also wrap
Include other input equipments.Specifically, other input equipments can include but is not limited to physical keyboard, function key (such as volume control
Button processed, switch key etc.), trace ball, mouse, the one or more in action bars etc..
The server may also include display unit 406, the display unit 406 can be used for display by user input information or
Be supplied to the information of user and the various graphical user interface of server, these graphical user interface can by figure, text,
Icon, video and its any combination are formed.Display unit 406 may include display panel, optionally, can use liquid crystal display
Device (LCD, Liquid Crystal Display), Organic Light Emitting Diode (OLED, Organic Light-Emitting
) etc. Diode form configures display panel.Further, touch sensitive surface can cover display panel, when touch sensitive surface detects
After touch operation on or near it, processor 401 is sent to determine the type of touch event, is followed by subsequent processing the basis of device 401
The type of touch event provides corresponding visual output on a display panel.Although in Fig. 4, touch sensitive surface is with display panel
The part independent as two realizes input and input function, but in some embodiments it is possible to by touch sensitive surface with it is aobvious
Show panel integrated and realize input and output function.
Although being not shown, server can also include camera, bluetooth module etc., will not be repeated here.Specifically in this reality
Apply in example, the processor 401 in server can be according to following instruction, by the process pair of one or more application program
The executable file answered is loaded into memory 402, and runs the application journey being stored in memory 402 by processor 401
Sequence is as follows so as to realize various functions:
The information of vehicles that periodic receipt vehicle is sent, the information of vehicles include vehicles identifications, vehicle location, traveling speed
Degree, acceleration, and/or driving time;The driving habit portrait of user according to corresponding to obtaining the vehicles identifications;According to receiving
Information of vehicles and driving habit portrait driver when not being the user that determines the vehicle, send alarm letter to the user
Breath.
Such as the driver for calculating the vehicle that can be drawn a portrait according to the information of vehicles and the driving habit received
Point, if the score is less than predetermined threshold value, it is determined that the driver of the vehicle is not the user;Otherwise, if the score is not less than pre-
If threshold value, it is determined that the driver of the vehicle is the user, etc..
Wherein, the predetermined threshold value can be configured according to the demand of practical application, will not be repeated here.
Wherein, driving habit portrait is established according to drive recorder forms, and the drive recorder can driven including the user
The a plurality of information of vehicles gathered during the vehicle is sailed, i.e., this is stored in the application program in memory 402, can be also used for realizing
Following function:
The driving habit portrait of user according to corresponding to determining whether there is the vehicles identifications, should if so, then performing basis
The operation of the driving habit portrait of user corresponding to vehicles identifications acquisition;If it is not, then by the information of vehicles received added to pair
Using in the drive recorder at family, the driving habit that user is established according to drive recorder is drawn a portrait, for example, can be as follows:
Various information in the information of vehicles that receives is combined, and calculates what the combination occurred in drive recorder
Probability, obtain combined probability;The probability that the various information occurs in drive recorder is calculated respectively, obtains underlying probabilities;According to
The combined probability and the driving habit portrait of underlying probabilities generation user.
Optionally, if determining that the driver of the vehicle is the user according to the information of vehicles and driving habit portrait,
The driving habit portrait of the user can be then updated according to the information of vehicles received, i.e., this is stored in memory 402
In application program, can be also used for implementing function such as:
The information of vehicles received is added in drive recorder, drive recorder after being updated;To the vehicle received
Various information in information is combined;The probability that the combination occurs in drive recorder in the updated is calculated, obtains present combination
Probability;The probability that the various information occurs in drive recorder in the updated is calculated respectively, obtains current basal probability;According to deserve
Preceding combined probability and current basal probability are updated to the combined probability in driving habit portrait and underlying probabilities.
The specific implementation of each operation can be found in embodiment above above, will not be repeated here.
From the foregoing, it will be observed that the information of vehicles that the server of the present embodiment can be sent with periodic receipt vehicle, such as vehicle mark
The information such as knowledge, vehicle location, travel speed, acceleration, and/or driving time, then, according to corresponding to obtaining the vehicles identifications
The driving habit portrait of user, determining that the driver of the vehicle is not the user according to the information of vehicles and driving habit portrait
When, sent a warning message to the user, so as to reach antitheft purpose;Because the program periodically can be entered to information of vehicles
Row collection and tracking, and corresponding user is timely notified when occurring abnormal, therefore, even if cracksman has cracked the anti-of vehicle
Lock is stolen, user can also know and be tracked in time, so, carried out relative to prior art simply by theftproof lock antitheft
Scheme, the program can greatly improve security, improve anti-theft effect, moreover, it is also possible to be chased after to stolen vehicle
Track, be advantageous to ensure the property safety of user.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
To instruct the hardware of correlation to complete by program, the program can be stored in a computer-readable recording medium, storage
Medium can include:Read-only storage (ROM, Read Only Memory), random access memory (RAM, Random
Access Memory), disk or CD etc..
Processing method, the device and system of a kind of information of vehicles provided above the embodiment of the present invention have been carried out in detail
Introduce, specific case used herein is set forth to the principle and embodiment of the present invention, the explanation of above example
It is only intended to help the method and its core concept for understanding the present invention;Meanwhile for those skilled in the art, according to the present invention
Thought, there will be changes in specific embodiments and applications, in summary, this specification content should not be understood
For limitation of the present invention.
Claims (19)
- A kind of 1. processing method of information of vehicles, it is characterised in that including:Periodic receipt vehicle send information of vehicles, the information of vehicles include vehicles identifications, vehicle location, travel speed, Acceleration, and/or driving time;The driving habit portrait of user according to corresponding to obtaining the vehicles identifications, the driving habit portrait is according to drive recorder Foundation forms, and the drive recorder includes a plurality of information of vehicles that the user is gathered when driving the vehicle;When driver according to the information of vehicles received and the driving habit portrait determination vehicle is not the user, Sent a warning message to the user.
- 2. according to the method for claim 1, it is characterised in that drawn according to the information of vehicles received and the driving habit As determining whether the driver of the vehicle is the user, including:The score of the driver of the vehicle is calculated according to the information of vehicles received and driving habit portrait;If the score is less than predetermined threshold value, it is determined that the driver of the vehicle is not the user;If the score is not less than predetermined threshold value, it is determined that the driver of the vehicle is the user.
- 3. according to the method for claim 2, it is characterised in that the driving habit portrait includes combined probability and basis is general Rate, information of vehicles and driving habit portrait that the basis receives calculate the score of the driver of the vehicle, including:Various information in the information of vehicles that receives is combined;Determine to whether there is the combination in driving habit portrait;If in the presence of using combined probability corresponding to the combination as the score of the driver of the vehicle;If being not present, the product of underlying probabilities corresponding to the various information is calculated, using the product as the vehicle The score of driver.
- 4. according to the method for claim 1, it is characterised in that the information of vehicles that the periodic receipt vehicle is sent it Afterwards, in addition to:The driving habit portrait of user according to corresponding to determining whether there is the vehicles identifications;If so, the step of then performing the driving habit portrait of the user according to corresponding to obtaining the vehicles identifications;If it is not, then the information of vehicles received is added in the drive recorder of corresponding user, user is established according to drive recorder Driving habit portrait.
- 5. according to the method for claim 4, it is characterised in that the driving habit that user is established according to drive recorder is drawn Picture, including:Various information in the information of vehicles that receives is combined, and calculate the combination occur in drive recorder it is general Rate, obtain combined probability;The probability that the various information occurs in drive recorder is calculated respectively, obtains underlying probabilities;Drawn a portrait according to the driving habit of the combined probability and underlying probabilities generation user.
- 6. according to the method described in any one of claim 1 to 5, it is characterised in that also include:When according to the information of vehicles and driving habit portrait, to determine the driver of the vehicle be the user, according to connecing The information of vehicles received is updated to the driving habit portrait of the user.
- 7. according to the method for claim 6, it is characterised in that the driving habit portrait includes combined probability and basis is general Rate, the then information of vehicles that the basis receives are updated to the driving habit portrait of the user, including:The information of vehicles received is added in drive recorder, drive recorder after being updated;Various information in the information of vehicles that receives is combined;The probability for combining and occurring in drive recorder in the updated is calculated, obtains present combination probability;The probability that the various information occurs in drive recorder in the updated is calculated respectively, obtains current basal probability;Combined probability and basis in being drawn a portrait according to the present combination probability and the current basal probability to driving habit is general Rate is updated.
- 8. according to the method described in any one of claim 1 to 5, it is characterised in that the car that the periodic receipt vehicle is sent Before information, in addition to:The bind request of user is received, the bind request carries user's mark and vehicles identifications;The incidence relation of user's mark and the vehicles identifications is established, and preserves the incidence relation;The driving habit portrait of the user according to corresponding to obtaining the vehicles identifications, including:Obtained according to the incidence relation Take user corresponding to the vehicles identifications to identify, the driving habit portrait of user corresponding to obtaining is identified according to the user.
- 9. according to the method described in any one of claim 1 to 5, it is characterised in that described to be sent a warning message to the user Afterwards, in addition to:Receive the response message that the user returns;If the response message indicates that the driver of the vehicle is the user, stop in preset time to the user Send a warning message;If the response message indicates that the driver of the vehicle is not the user, sent a warning message to default equipment and The vehicle location.
- A kind of 10. processing unit of information of vehicles, it is characterised in that including:Receiving unit, the information of vehicles sent for periodic receipt vehicle, the information of vehicles include vehicles identifications, vehicle position Put, travel speed, acceleration, and/or driving time;Acquiring unit, for the driving habit portrait of the user according to corresponding to vehicles identifications acquisition, the driving habit is drawn Formed as being established according to drive recorder, the drive recorder includes a plurality of car that the user is gathered when driving the vehicle Information;Alarm Unit, for determining the driver of the vehicle not according to the information of vehicles received and driving habit portrait When being the user, sent a warning message to the user.
- 11. device according to claim 10, it is characterised in that also include scoring unit;The scoring unit, for calculating the driving of the vehicle according to the information of vehicles received and driving habit portrait The score of member, if the score is less than predetermined threshold value, the driver for determining the vehicle is not the user;If the score Not less than predetermined threshold value, it is determined that the driver of the vehicle is the user.
- 12. device according to claim 11, it is characterised in that the driving habit portrait includes combined probability and basis Probability;The scoring unit, is specifically used for:Various information in the information of vehicles that receives is combined;Determine driving habit It whether there is the combination in portrait;If in the presence of using combined probability corresponding to the combination as the driver of the vehicle Score;If being not present, the product of underlying probabilities corresponding to the various information is calculated, using the product as the vehicle Driver score.
- 13. device according to claim 10, it is characterised in that also including determining unit and establish unit;The determining unit, the driving habit portrait for user corresponding to being determined whether there is according to the vehicles identifications;The acquiring unit, when the driving habit specifically for determining user corresponding to presence in the determining unit is drawn a portrait, root Drawn a portrait according to the driving habit of user corresponding to vehicles identifications acquisition;It is described to establish unit, for when the determining unit determines to be not present the driving habit portrait of corresponding user, will connect The information of vehicles received is added in the drive recorder of corresponding user, and the driving habit that user is established according to drive recorder is drawn a portrait.
- 14. device according to claim 13, it is characterised in thatIt is described to establish unit, it is combined specifically for the various information in the information of vehicles to receiving, and calculate described group The probability occurred in drive recorder is closed, obtains combined probability;Calculate what the various information occurred in drive recorder respectively Probability, obtain underlying probabilities;Drawn a portrait according to the driving habit of the combined probability and underlying probabilities generation user.
- 15. according to the device described in any one of claim 10 to 14, it is characterised in that also including updating block;The updating block, for determining the driver of the vehicle according to the information of vehicles and driving habit portrait For the user when, the driving habit of user portrait is updated according to the information of vehicles received.
- 16. device according to claim 15, it is characterised in that the driving habit portrait includes combined probability and basis Probability;The updating block, specifically for the information of vehicles received is added in drive recorder, note is driven after being updated Record;Various information in the information of vehicles that receives is combined;Described combine is calculated in drive recorder in the updated to occur Probability, obtain present combination probability;The probability that the various information occurs in drive recorder in the updated is calculated respectively, is obtained Current basal probability;Combined probability and base in being drawn a portrait according to the present combination probability and current basal probability to driving habit Plinth probability is updated.
- 17. according to the device described in any one of claim 10 to 14, it is characterised in that also including binding unit;The receiving unit, is additionally operable to receive the bind request of user, and the bind request carries user's mark and vehicles identifications;The binding unit, for establishing the incidence relation of user's mark and vehicles identifications, and preserve the incidence relation;The acquiring unit, identified specifically for the user according to corresponding to the incidence relation acquisition vehicles identifications, according to The user identifies the driving habit portrait of user corresponding to acquisition.
- 18. according to the device described in any one of claim 10 to 14, it is characterised in that also including processing unit;The processing unit, the response message returned for receiving the user, if the response message indicates the vehicle Driver is the user, then stops sending a warning message to the user in preset time;If the response message indicates institute The driver for stating vehicle is not the user, then is sent a warning message and the vehicle location to default equipment.
- 19. a kind of processing system of information of vehicles, it is characterised in that including the vehicle letter described in any one of claim 10 to 18 The processing unit of breath.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110390557A (en) * | 2019-06-17 | 2019-10-29 | 深圳壹账通智能科技有限公司 | Vehicle premium determines method, apparatus and computer equipment and readable storage medium storing program for executing |
CN110866176A (en) * | 2018-08-21 | 2020-03-06 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, vehicle-mounted terminal, user image construction method and information push method thereof |
CN111391859A (en) * | 2020-03-23 | 2020-07-10 | 东风小康汽车有限公司重庆分公司 | Vehicle owner identification early warning method and system |
CN111984853A (en) * | 2019-05-22 | 2020-11-24 | 北京车和家信息技术有限公司 | Test driving report generation method and cloud server |
CN112927393A (en) * | 2021-02-08 | 2021-06-08 | 上海钧正网络科技有限公司 | Riding data processing method, server, user equipment and readable storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1769108A (en) * | 2004-11-03 | 2006-05-10 | 同致电子企业股份有限公司 | Gravity acceleration inductive type automobile theft protection installation |
CN104057918A (en) * | 2014-06-16 | 2014-09-24 | 浙江中科领航汽车电子有限公司 | Vehicle remote anti-theft system and vehicle remote anti-theft method |
US20150058045A1 (en) * | 2012-04-18 | 2015-02-26 | Creative Innovation Avenue | Method and apparatus for information exchange in vehicles |
CN104599346A (en) * | 2013-12-11 | 2015-05-06 | 腾讯科技(深圳)有限公司 | Driving behavior evaluation method and driving behavior evaluation apparatus |
CN104615615A (en) * | 2014-05-04 | 2015-05-13 | 腾讯科技(深圳)有限公司 | Driving data processing method and device |
CN105761329A (en) * | 2016-03-16 | 2016-07-13 | 成都信息工程大学 | Method of identifying driver based on driving habits |
-
2016
- 2016-08-08 CN CN201610643136.3A patent/CN107704794B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1769108A (en) * | 2004-11-03 | 2006-05-10 | 同致电子企业股份有限公司 | Gravity acceleration inductive type automobile theft protection installation |
US20150058045A1 (en) * | 2012-04-18 | 2015-02-26 | Creative Innovation Avenue | Method and apparatus for information exchange in vehicles |
CN104599346A (en) * | 2013-12-11 | 2015-05-06 | 腾讯科技(深圳)有限公司 | Driving behavior evaluation method and driving behavior evaluation apparatus |
CN104615615A (en) * | 2014-05-04 | 2015-05-13 | 腾讯科技(深圳)有限公司 | Driving data processing method and device |
CN104057918A (en) * | 2014-06-16 | 2014-09-24 | 浙江中科领航汽车电子有限公司 | Vehicle remote anti-theft system and vehicle remote anti-theft method |
CN105761329A (en) * | 2016-03-16 | 2016-07-13 | 成都信息工程大学 | Method of identifying driver based on driving habits |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110866176A (en) * | 2018-08-21 | 2020-03-06 | 上海博泰悦臻网络技术服务有限公司 | Vehicle, vehicle-mounted terminal, user image construction method and information push method thereof |
CN111984853A (en) * | 2019-05-22 | 2020-11-24 | 北京车和家信息技术有限公司 | Test driving report generation method and cloud server |
CN111984853B (en) * | 2019-05-22 | 2024-03-22 | 北京车和家信息技术有限公司 | Test driving report generation method and cloud server |
CN110390557A (en) * | 2019-06-17 | 2019-10-29 | 深圳壹账通智能科技有限公司 | Vehicle premium determines method, apparatus and computer equipment and readable storage medium storing program for executing |
CN111391859A (en) * | 2020-03-23 | 2020-07-10 | 东风小康汽车有限公司重庆分公司 | Vehicle owner identification early warning method and system |
CN112927393A (en) * | 2021-02-08 | 2021-06-08 | 上海钧正网络科技有限公司 | Riding data processing method, server, user equipment and readable storage medium |
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