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 PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
user
information
vehicles
vehicle
portrait
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201610643136.3A
Other languages
Chinese (zh)
Other versions
CN107704794B (en
Inventor
彭丹丹
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tencent Technology Shenzhen Co Ltd
Original Assignee
Tencent Technology Shenzhen Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tencent Technology Shenzhen Co Ltd filed Critical Tencent Technology Shenzhen Co Ltd
Priority to CN201610643136.3A priority Critical patent/CN107704794B/en
Publication of CN107704794A publication Critical patent/CN107704794A/en
Application granted granted Critical
Publication of CN107704794B publication Critical patent/CN107704794B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/59Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/54Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm 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
    • G08B25/08Alarm 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
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625License plates
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08Detecting 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

A kind of processing method of information of vehicles, device and system
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)

  1. 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. 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. 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. 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. 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. 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. 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. 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. 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.
  10. 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. 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. 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. 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. 14. device according to claim 13, it is characterised in that
    It 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. 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. 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. 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. 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. 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.
CN201610643136.3A 2016-08-08 2016-08-08 Vehicle information processing method, device and system Active CN107704794B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610643136.3A CN107704794B (en) 2016-08-08 2016-08-08 Vehicle information processing method, device and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610643136.3A CN107704794B (en) 2016-08-08 2016-08-08 Vehicle information processing method, device and system

Publications (2)

Publication Number Publication Date
CN107704794A true CN107704794A (en) 2018-02-16
CN107704794B CN107704794B (en) 2020-08-04

Family

ID=61168619

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610643136.3A Active CN107704794B (en) 2016-08-08 2016-08-08 Vehicle information processing method, device and system

Country Status (1)

Country Link
CN (1) CN107704794B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (6)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Also Published As

Publication number Publication date
CN107704794B (en) 2020-08-04

Similar Documents

Publication Publication Date Title
CN107704794A (en) A kind of processing method of information of vehicles, device and system
WO2018161774A1 (en) Driving behavior determination method, device, equipment and storage medium
US9080878B2 (en) Automatic identification of vehicle location
US9019129B2 (en) Vehicle location in weak location signal scenarios
CN108665678B (en) Rescue requesting method and device
CN203902731U (en) Anti-theft tracking device for electric vehicle
CN104599346B (en) A kind of driving behavior appraisal procedure, and device
CN207496668U (en) A kind of vehicle arrangement and Vehicular system
US20120214463A1 (en) Detecting use of a mobile device by a driver of a vehicle, such as an automobile
CN105872242B (en) The method and apparatus for obtaining instant communication message
US20180164113A1 (en) Route information displaying method and apparatus
CN109255957B (en) Method and system for monitoring vehicle running in tunnel
CN104192094A (en) Vehicle anti-theft method and system
US11302195B2 (en) Traffic service obtaining method and related device
CN106448239A (en) Automobile detection and monitoring system
US20140256258A1 (en) Parked vehicle locating smartphone application
CN112258837B (en) Vehicle early warning method, related device, equipment and storage medium
CN105489039A (en) Road condition information service realization method and system
CN109064746A (en) A kind of information processing method, terminal and computer readable storage medium
CN108280900A (en) A kind of APP automobile travel recorders and pilot recording system of automobile
CN111885500A (en) Road condition reminding method and device based on narrowband Internet of things and storage medium
CN105551286B (en) A kind of detection method and electronic equipment of vehicle stopping position
CN107564335A (en) One kind knocks into the back method for early warning and electronic equipment
CN112067012B (en) Network appointment vehicle pick-up judgment method and device
CN103871244A (en) Traffic information processing method and system, and vehicle-mounted system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant