CN109874099A - A kind of networking vehicle mounted equipment flow control system - Google Patents
A kind of networking vehicle mounted equipment flow control system Download PDFInfo
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- CN109874099A CN109874099A CN201910082360.3A CN201910082360A CN109874099A CN 109874099 A CN109874099 A CN 109874099A CN 201910082360 A CN201910082360 A CN 201910082360A CN 109874099 A CN109874099 A CN 109874099A
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Abstract
The present invention provides a kind of networking vehicle mounted equipment flow control systems, the networking vehicle mounted equipment flow control system is analyzed by the video image data uploaded to networking mobile unit, the corresponding GPS positioning information of networking vehicle mounted equipment is integrated simultaneously, the vehicle driving behavioural information that signal based on gravity sensor detection obtains, cloud server to be uploaded by Internet of Things networking mobile unit the data volume of vehicle running state data, to avoid networking vehicle mounted equipment that redundant data is uploaded in cloud server in rush hour, flow is uploaded to save the data of networking vehicle mounted equipment；Furthermore, the networking vehicle mounted equipment flow control system can also upload density to the corresponding data in the region according to some region of driving road-condition of acquisition and analyze and determine, and the result based on the analytical judgment controls the progress that networking vehicle mounted equipment carries out data upload.
Description
Technical field
The present invention relates to the technical field of big data cloud service, in particular to a kind of networking vehicle mounted equipment flow control system
System.
Background technique
With being constantly progressive for Trend of Auto Manufacturing Technologies, the popularity rate of automobile is higher and higher, and self driving has become most of
The mode of people's trip primary selection.And while automobile retention is continuously improved, the traffic conditions of road also become increasingly
Complexity, in order to improve the safety of driving and avoid that traffic accident dispute occurs, many car owners select to install driving in the car
The mobile units such as recorder, automobile data recorder are mainly used for shooting the road environment in front of vehicle heading, pass through acquisition
Video image about the traffic conditions in front of driving direction is the effective means for recording vehicle and its peripheral region driving conditions.
In addition, unmanned technology has become the Main way of automotive technology development, and unmanned technology mainly passes through difference
The real-time driving related data of the sensor record vehicle of type, then the driving related data is carried out at corresponding deep learning
Reason so that vehicle the traffic environment being presently in can also be made in the case where not needing driver's control it is timely and correct
Response.As it can be seen that being either directed to the manned or unmanned mode of automobile, it is directed to and utilizes different types of biography
Sensor is acquired and analyzes to the real-time driving states data of automobile, and these driving states data not only include vehicle itself
Running data information, but also including the relevant traffic state data of running region that vehicle is presently in, there are also these rows
Data information is sailed usually in the form of video image to acquire.
Since the local device of vehicle interior cannot all be matched with vehicle in memory capacity and operational capability etc. certainly
Locating complicated environment, in order to adopt driving states data collected in vehicle travel process in time
Collection, storage and analysis etc. use, and existing most of mobile unit data processing systems are all based on Internet of Things by cloud
Service is combined with big data analysis, i.e., real-time collected driving states data are uploaded to by the mobile unit by Internet of Things
Cloud server is whole, and the cloud server is while storing the driving states data, additionally it is possible in conjunction with big data point
The Technical Analysis Division of analysis manages the driving states data, to provide accordingly for the different situations that vehicle encounters in the process of moving
Counte-rplan.Since the cloud server is usually to be connected with the mobile unit of numerous quantity, when these mobile units are same
When data are uploaded to the cloud server, it is possible to cause the congestion of cloud server related data link, it is furthermore same
The mobile unit of vehicle is possible to same type of driving being uploaded to cloud server end, this will also result in network traffic flow
Waste and cloud server memory space waste.
Summary of the invention
In networking vehicle mounted device analysis treatment process, existing networking vehicle mounted equipment is all to acquire mobile unit in real time
Data be uploaded in cloud server by specific Internet of Things, which is stored and is analyzed to the data again
Deng processing.Currently, the networking vehicle mounted equipment is all that will collect data indiscriminately to upload, due to networking vehicle mounted equipment
It is the driving status progress data acquisition for vehicle in complicated environment, the information content of data collected in this way
Can be very big, while collected data are also likely to be present mutual the case where repeating, if the networking vehicle mounted equipment directly will acquisition
To all data be uploaded in cloud server, inevitably result in Internet of Things locating for networking vehicle mounted equipment occur data upload
The case where link congestion, while certain storage pressure can be also generated to the memory space of cloud server, this can not only make
The cloud server can not receive the data that networking vehicle mounted equipment acquires in real time in time, and also will cause cloud server
The waste of memory space.As it can be seen that the data transfer mode between existing networking vehicle mounted equipment and cloud server is be easy to cause
The problem of data upload amount is excessively concentrated, Data duplication degree is high and data redundancy.
In view of the defects existing in the prior art, the present invention provides a kind of networking vehicle mounted equipment flow control system, the networking
Mobile unit flow control system is to be analyzed by the video image data uploaded to networking mobile unit, while integrating connection
The vehicle driving behavioural information that the corresponding GPS positioning information of net mobile unit, the signal based on gravity sensor detection obtain, comes
The data volume for uploading vehicle running state data to cloud server by Internet of Things to networking mobile unit, to avoid networking
Redundant data is uploaded in cloud server by mobile unit in rush hour, is spreaded in the data to save networking vehicle mounted equipment
Amount；In addition, the networking vehicle mounted equipment flow control system can also be according to some region of driving road-condition of acquisition to the region
Corresponding data upload density and are analyzed and determined, and the result based on the analytical judgment controls networking vehicle mounted equipment and carries out data
The progress of upload.
The present invention provides a kind of networking vehicle mounted equipment flow control system, the system comprises: vehicle driving behavior record
Module, cloud analysis module and cloud memory module；
Wherein, the vehicular behavior information during the vehicle current driving of vehicle behavior logging modle record and to described
Cloud analysis module sends a cloud status request, wherein the vehicular behavior information includes about the vehicle heading
At least one of video information, vehicle driving states information and the vehicle collision state information in front；
After the cloud analysis module receives the cloud status request, it is based on the vehicle driving behavior record module
The vehicular behavior information of current record is to the one cloud back-signalling of vehicle driving behavior record module feedback；
The vehicle behavior logging modle is based on the cloud back-signalling, and the video information is uploaded to described by setting
Several upper arq modes of cloud memory module；
Further, the vehicle driving behavior record module includes video recording unit, information of vehicles extraction unit, gravity
Sensor, signal output unit, signal input unit and control unit；Wherein, the video recording unit can obtain about
Video information in front of the vehicle heading；It is corresponding that the information of vehicles extraction unit can obtain the video information
Vehicle driving states information；The gravity sensor can obtain the corresponding vehicle collision state information of the video information；Institute
It states signal output unit and can realize respectively and connect with the signal of the cloud analysis module and cloud memory module；The signal
Input unit can be realized to be connect with the signal of the cloud analysis module；Described control unit can control the signal output
Unit carries out the switching of several upper arq modes；
Further, the cloud analysis module is based on the vehicular behavior information to the vehicle driving behavior record module
It feeds back the cloud back-signalling to specifically include, normal, the described vehicle driving in front of video information instruction driving direction
Status information indicates driving states normally and the vehicle collision state information indicates vehicle collisionless situation, then the cloud point
Analyse one first back-signalling of module feedback；When the video information indicates that the spacing of vehicle and front vehicles is lower than one apart from threshold
Value, there are emergency brake situations and the vehicle collision state information to indicate vehicle for vehicle driving states information instruction vehicle
Collisionless situation, then the cloud analysis module feeds back one second back-signalling；Before the video information indicates driving direction
Upright normal, the described normal and described vehicle collision state information instruction vehicle of vehicle driving states information instruction driving states touches
Hit situation, then the cloud analysis module feeds back a third back-signalling,
Wherein, the calculating process of the spacing of the vehicle and front vehicles specifically includes:
The spacing of the vehicle and front vehicles is the vehicle driving acquired by the vehicle behavior logging modle
Video information in front of direction is calculated in conjunction with a mathematical model, and the vehicle behavior logging modle acquires the video
Information is by the three-dimensional scene projection in front of the vehicle driving to its corresponding two-dimensional image plane, in the video information
In collection process, the central point P of the licence plate of front vehicles is chosen as distance reference point, and obtain following projection formula (1),
In the projection formula (1), (Xc, Yc, Zc) be the central point P world coordinates, (a, b) be the center
Point P corresponding imaging point P in the two-dimensional image plane0The image coordinate indicated with physical unit, f are vehicle behavior note
Record the focal length of pick-up lens in module, vertical range of the d between the space plane where the pick-up lens to the licence plate；
Simultaneously, it is assumed that digital picture seat will be converted to the image coordinate that physical unit indicates in the two-dimensional image plane
Target conversion formula (2) is as follows,
In the conversion formula (2), (u0, v0) be digital picture central point coordinate, dxFor each in digital picture
Pixel and the physical size of the digital picture central point in the direction of the x axis, dyFor each pixel in digital picture with
The physical size of the digital picture central point in the y-axis direction, (u, v) are the imaging point P0It is right after digital picture to be converted to
The coordinate answered；
Then, the conversion formula (2) are substituted into the projection formula (1) and obtain following formula (3),
By the parameter Z in the formula (3)cValue be taken as 0 to get to following formula (4)
Then, can be calculated by the formula (4) space plane where the pick-up lens to the licence plate it
Between vertical range d, while the vertical range d is the spacing of the vehicle and front vehicles；
Further, the brake condition of spacing d of the cloud analysis module also based on the vehicle and front vehicles, vehicle
Detected value building with the gravity sensor determines formula (5) below,
In the judgement formula (5), H is the current value of the gravity sensor, H0For touching for the gravity sensor
Threshold value is hit, d is the spacing of the vehicle and front vehicles, d0For the distance threshold, k is the braking factor values of vehicle, wherein
If there are emergency brake situation, k > 0 for vehicle, if vehicle does not have emergency brake situation, k=0；
As the calculated result M < 0 for determining formula (5), the cloud analysis module feeds back the third and responds letter
Number, when calculated result M > 0 and | M | when < 1, the cloud analysis module feeds back second back-signalling, when the meter
Calculate result M > 0 and | M | when=1, the cloud analysis module feeds back first back-signalling；
Also, when the vehicle behavior logging modle receives first back-signalling, the vehicle driving records mould
Root tuber carries out the upload of video information according to the subsequent instructions signal of the cloud analysis module；When the vehicle behavior logging modle
Second back-signalling is received, current video information is directly uploaded to the cloud by the vehicle driving logging modle
Memory module；When the vehicle behavior logging modle receives the third echo message, the vehicle driving logging modle will
Current video information and its corresponding video information of front and back specific time period forces to be uploaded to the cloud memory module；
Further, when the cloud back-signalling indicates that current video information does not need to be uploaded to the cloud storage mould
Block, then the vehicle behavior logging modle deletes the vehicle behavior information of present period record, and analyzes again to the cloud
Module sends another cloud status request, to carry out the analysis of the vehicle behavior information recorded about subsequent period and upload to grasp
Make；
Further, the vehicle driving behavior record module further includes GPS positioning unit；Wherein, the GPD positioning unit
Obtain the real-time position information of vehicle；The cloud analysis module can be based on the real-time position information, determine that vehicle is current
Corresponding cloud memory module data upload state in locating regional scope, and upload state based on the data and respond cloud
Signal feeds back to the vehicle driving behavior record module；
Further, the upload flow of the overall data in regional scope is presently in when the data upload state instruction vehicle
Flow threshold is uploaded more than or equal to one, then one the 4th back-signalling is fed back to the vehicle driving by the cloud analysis module
Behavior record module；When the data upload state instruction vehicle be presently in the overall data in regional scope upload flow it is small
In the upload flow threshold, then one the 5th back-signalling is fed back to the vehicle driving behavior and remembered by the cloud analysis module
Record module；
Further, when the vehicle driving behavior record module receives the 4th back-signalling, the vehicle driving
Behavior record module suspends the upload operation of current video information；Described in being received when the vehicle driving behavior record module
5th back-signalling, the vehicle driving behavior record module maintain the upload operation of current video information constant；
Further, the vehicular behavior information further comprises vehicle driving speed, wherein when the vehicle driving speed
More than or equal to a threshold speed, then one the 4th back-signalling is fed back to the vehicle driving behavior by the cloud analysis module
Logging modle, the vehicle driving behavior record module maintain the upload operation of current video information constant with this；When described
Vehicle driving speed is less than the threshold speed, then one the 5th back-signalling is fed back to the vehicle by the cloud analysis module
Vehicular behavior logging modle, the vehicle driving behavior record module suspend the upload operation of current video information with this；
Further, the cloud back-signalling includes a normal back-signalling, a busy back-signalling and a correct response
Signal, the vehicle behavior logging modle are regarded based on the normal back-signalling according to the intelligent terminal that the system connects
The upload of frequency information, the vehicle behavior logging modle based on the busy back-signalling according to it includes clock signal progress
The upload of video information, the video information that the vehicle behavior logging modle will be recorded each time based on the correct back-signalling
Uploaded；
Compared with the prior art, networking vehicle mounted equipment flow control system of the invention is by networking mobile unit
The video image data of biography are analyzed, while integrating the corresponding GPS positioning information of networking vehicle mounted equipment, based on gravity sensor
The vehicle driving behavioural information that the signal of detection obtains uploads vehicle to cloud server by Internet of Things to networking mobile unit
The data volume of transport condition data, to avoid networking vehicle mounted equipment that redundant data is uploaded to cloud service in rush hour
In device, flow is uploaded to save the data of networking vehicle mounted equipment；In addition, the networking vehicle mounted equipment flow control system can also root
Density is uploaded to the corresponding data in the region according to some region of driving road-condition of acquisition to analyze and determine, and is based on the analysis
The result of judgement controls the progress that networking vehicle mounted equipment carries out data upload.Other features and advantages of the present invention will be subsequent
It is illustrated in specification, also, partly as will become apparent from the description, or understand through the implementation of the invention.This hair
Bright purpose and other advantages can pass through structure specifically indicated in the written description, claims, and drawings
To be achieved and obtained.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of structural schematic diagram of networking vehicle mounted equipment flow control system provided by the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It refering to fig. 1, is a kind of structural schematic diagram of networking vehicle mounted equipment flow control system provided in an embodiment of the present invention.
The networking vehicle mounted equipment flow control system includes vehicle driving behavior record module, cloud analysis module and cloud storage mould
Block；Wherein, which be arranged in the networking vehicle mounted equipment, belongs to the local for being mounted on vehicle
Equipment；The cloud analysis module and cloud memory module are to belong to the different function module of cloud server；Preferably, the cloud
Server is attached with the networking vehicle mounted equipment by a data network, which can be realized the networking vehicle mounted equipment
Data interaction between the cloud server communicates.Preferably, which can be LTE network, CDMA or GPRS etc.
The communication network of different mode type.In addition, signal connects between the cloud analysis module and the cloud memory module.
Wherein, vehicular behavior information of the vehicle driving behavior record module with record vehicle during current driving,
And a cloud status request can be sent to the cloud analysis module；Preferably, which may include but be not limited to
Be about in video information, vehicle driving states information and the vehicle collision state information in front of the vehicle heading at least
One；Preferably, the video information in front of the vehicle heading is primarily referred to as the vehicle its traveling front in the process of moving
Traffic state information, visual other vehicles within sweep of the eye which can be the vehicle in front of its traveling or
The action message of person pedestrian；Preferably, the vehicle shape status information may include but it is unlimited be vehicle real time running speed, vehicle
The personnel state information of interior, the Weather information etc. in vehicle current driving region；Preferably, which believes
Breath may include the interaction force status information between vehicle and other vehicles or between vehicle and pedestrian.
Correspondingly, which may include but be not limited to be that video recording unit, information of vehicles mention
Take unit, gravity sensor, signal output unit, signal input unit and control unit.Wherein, which is used for
It obtains about the video information in front of the vehicle heading, which can be an automobile data recorder, video note
Record unit is preferably provided in front of interior with for shooting video image of the vehicle in the process of moving in front of it, preferably
Ground, the video recording unit may also include a wide angle optical camera system, the wide angle optical camera system facilitate obtain about
The vehicle front is greater than the video image in 180 ° of angulars field of view.The information of vehicles extraction unit is for obtaining and the video information
Corresponding vehicle driving states information, i.e. the information of vehicles extraction unit preferably work asynchronously with the video recording unit, from
And obtain and the video information associated vehicle driving states information in time, it is preferable that the information of vehicles extraction unit
It may include but be not limited to be speed sensing unit, interior state detection unit or state of weather acquiring unit etc., wherein
The speed sensing unit is used to obtain the real-time vehicle running speed of vehicle, and the interior detection unit is for obtaining vehicle vehicle
Personnel state information inside compartment, the state of weather acquiring unit are used to obtain the Weather information in vehicle current driving region.It should
Gravity sensor for obtaining corresponding with video information vehicle collision state information, i.e., the gravity sensor preferably with this
Video recording unit synchronous working, to obtain and the video information associated vehicle collision state information in time；It is excellent
Selection of land, the gravity sensor may include several weight sensors that vehicle periphery is arranged in.In addition, the signal output unit can
It realizes and is connect with the signal of the cloud analysis module and cloud memory module respectively；The signal input unit can be realized and the cloud
Hold the signal connection of analysis module.The control unit can control the signal output unit and carry out arq mode in several different data
Handover operation.
Wherein, which can be remembered after receiving the cloud status request based on the vehicle driving behavior
The vehicular behavior information of module current record is recorded to the one cloud back-signalling of vehicle driving behavior record module feedback.It is specific and
Speech, the cloud analysis module are based on the vehicular behavior information to the vehicle driving behavior record module feedback cloud back-signalling
It specifically includes, normal, the vehicle driving states information indicates that driving states are normal in front of video information instruction driving direction
Vehicle collisionless situation is indicated with the vehicle collision state information, then the cloud analysis module feeds back one first back-signalling；When
The spacing of video information instruction vehicle and front vehicles is deposited lower than a distance threshold, vehicle driving states information instruction vehicle
Vehicle collisionless situation is indicated in emergency brake situation and the vehicle collision state information, then cloud analysis module feedback 1 the
Two back-signallings；Normal in front of video information instruction driving direction, vehicle driving states information instruction driving states are just
Often and vehicle collision state information instruction vehicle has collision situation, then the cloud analysis module feeds back a third back-signalling.
Correspondingly, the calculating process of the spacing of the vehicle and front vehicles specifically includes the spacing of the vehicle and front vehicles
Be by the vehicle behavior logging modle acquire the vehicle heading in front of video information combine a mathematical model count
It obtains, it is to arrive the three-dimensional scene projection in front of the vehicle driving which, which acquires the video information,
In its corresponding two-dimensional image plane, in the collection process of the video information, the central point P conduct of the licence plate of front vehicles is chosen
Distance reference point, and following projection formula (1) is obtained,
In the projection formula (1), (Xc,Yc,Zc) be central point P world coordinates, (a, b) be central point P at this
Corresponding imaging point P in two-dimensional image plane0The image coordinate indicated with physical unit, f are to take the photograph in the vehicle behavior logging modle
As the focal length of camera lens, vertical range of the d between the space plane where the pick-up lens to the licence plate；
Simultaneously, it is assumed that digital picture coordinate will be converted to the image coordinate that physical unit indicates in the two-dimensional image plane
Conversion formula (2) it is as follows,
In the conversion formula (2), (u0, v0) be digital picture central point coordinate, dxFor each picture in digital picture
Vegetarian refreshments and the physical size of digital picture central point in the direction of the x axis, dyFor each pixel in digital picture and the number
The physical size of word image center in the y-axis direction, (u, v) are imaging point P0Be converted to corresponding seat after digital picture
Mark；
Then, which is substituted into the projection formula (1) and obtains following formula (3),
By the parameter Z in the formula (3)cValue be taken as 0 to get to following formula (4)
Then, it can be calculated by the formula (4) between the space plane where the pick-up lens to the licence plate
Vertical range d, while vertical range d is the spacing of the vehicle and front vehicles.
Correspondingly, which can be based on the cloud back-signalling, and setting uploads the video information
To several upper arq modes of the cloud memory module.Specifically, the cloud analysis module is also based on the vehicle and front vehicles
Spacing d, vehicle brake condition and the gravity sensor detected value building below determine formula (5),
In the judgement formula (5), H is the current value of the gravity sensor, H0For the collision threshold of the gravity sensor,
D is the spacing of the vehicle and front vehicles, d0For the distance threshold, k is the braking factor values of vehicle, wherein if vehicle exists
Emergency brake situation, then k > 0, if vehicle does not have emergency brake situation, k=0；
As the calculated result M < 0 of the judgement formula (5), which feeds back the third back-signalling, when this
Calculated result M > 0 and | M | when < 1, which feeds back second back-signalling, when calculated result M > 0 and | M |=
When 1, which feeds back first back-signalling；
Also, receive first back-signalling when the vehicle behavior logging modle, the vehicle driving logging modle according to
The subsequent instructions signal of the cloud analysis module carries out the upload of video information；Described in being received when the vehicle behavior logging modle
Current video information is directly uploaded to the cloud memory module by the second back-signalling, the vehicle driving logging modle；When this
Vehicle behavior logging modle receives the third echo message, and the vehicle driving logging modle is by current video information and its preceding
The corresponding video information of specific time period forces to be uploaded to the cloud memory module afterwards.
Preferably, when the cloud, back-signalling indicates that current video information does not need to be uploaded to the cloud memory module,
Then the vehicle behavior logging modle deletes the vehicle behavior information of present period record, and sends again to the cloud analysis module
Another cloud status request, to carry out the analysis and upload operation of the vehicle behavior information recorded about subsequent period.
Preferably, which may also include GPS positioning unit；Wherein, which obtains
The real-time position information of pick-up；The cloud analysis module can be based on the real-time position information, determine that vehicle is presently in area
Corresponding cloud memory module data upload state within the scope of domain, and upload state based on the data and feed back cloud back-signalling
To the vehicle driving behavior record module.
Preferably, when the data upload state instruction vehicle be presently in the overall data in regional scope upload flow it is big
In or equal to a upload flow threshold, then one the 4th back-signalling is fed back to vehicle driving behavior note by the cloud analysis module
Record module；The upload flow of the overall data in regional scope is presently in less than the upload when the data upload state instruction vehicle
Flow threshold, then one the 5th back-signalling is fed back to the vehicle driving behavior record module by the cloud analysis module.Correspondingly,
When the vehicle driving behavior record module receives the 4th back-signalling, which suspends current
The upload operation of video information；When the vehicle driving behavior record module receives the 5th back-signalling, the vehicle driving row
Maintain the upload operation of current video information constant for logging modle.
Preferably, in the case where the vehicular behavior information vehicle driving speed, when the vehicle driving speed is greater than or waits
In a threshold speed, then one the 4th back-signalling is fed back to the vehicle driving behavior record module by the cloud analysis module, should
Vehicle driving behavior record module maintains the upload operation of current video information constant with this；When the vehicle driving speed is less than
The threshold speed, then one the 5th back-signalling is fed back to the vehicle driving behavior record module, the vehicle by the cloud analysis module
Vehicular behavior logging modle suspends the upload operation of current video information with this.
Preferably, which may include a normal back-signalling, a busy back-signalling and a correct response
Signal, the vehicle behavior logging modle carry out video information according to the intelligent terminal that the system connects based on the normal back-signalling
Upload, the vehicle behavior logging modle based on the busy back-signalling according to it includes clock signal carry out video information
It uploads, which is uploaded the video information recorded each time based on the correct back-signalling.
From above-described embodiment as can be seen that the networking vehicle mounted equipment flow control system is by uploading networking mobile unit
Video image data analyzed, while integrate the corresponding GPS positioning information of networking vehicle mounted equipment, based on gravity sensor examine
The vehicle driving behavioural information that the signal of survey obtains uploads vehicle to cloud server by Internet of Things to networking mobile unit
The data volume of transport condition data, to avoid networking vehicle mounted equipment that redundant data is uploaded to cloud server in rush hour
In, flow is uploaded to save the data of networking vehicle mounted equipment；In addition, the networking vehicle mounted equipment flow control system can also basis
The some region of driving road-condition obtained uploads density to the corresponding data in the region and analyzes and determines, and is sentenced based on the analysis
Disconnected result controls the progress that networking vehicle mounted equipment carries out data upload.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of networking vehicle mounted equipment flow control system, which is characterized in that the system comprises: vehicle driving behavior record mould
Block, cloud analysis module and cloud memory module；
Wherein, the vehicular behavior information during the vehicle current driving of vehicle behavior logging modle record and to the cloud
Analysis module sends a cloud status request, wherein the vehicular behavior information includes about in front of the vehicle heading
At least one of video information, vehicle driving states information and vehicle collision state information；
It is current based on the vehicle driving behavior record module after the cloud analysis module receives the cloud status request
The vehicular behavior information of record is to the one cloud back-signalling of vehicle driving behavior record module feedback；
The vehicle behavior logging modle is based on the cloud back-signalling, and the video information is uploaded to the cloud by setting
Several upper arq modes of memory module.
2. networking vehicle mounted equipment flow control system as described in claim 1, it is characterised in that: the vehicle driving behavior note
Recording module includes video recording unit, information of vehicles extraction unit, gravity sensor, signal output unit, signal input unit
And control unit；Wherein, the video recording unit can be obtained about the video information in front of the vehicle heading；Institute
The corresponding vehicle driving states information of the video information can be obtained by stating information of vehicles extraction unit；The gravity sensor energy
Enough obtain the corresponding vehicle collision state information of the video information；The signal output unit can be realized and the cloud respectively
End analysis module is connected with the signal of cloud memory module；The signal input unit can be realized and the cloud analysis module
Signal connection；Described control unit can control the switching that the signal output unit carries out several upper arq modes.
3. networking vehicle mounted equipment flow control system as claimed in claim 2, it is characterised in that: the cloud analysis module base
It is specifically included in the vehicular behavior information to cloud back-signalling described in the vehicle driving behavior record module feedback, works as institute
State normal, the described vehicle driving states information instruction normal and described vehicle of driving states in front of video information instruction driving direction
Collision status information indicates vehicle collisionless situation, then the cloud analysis module feeds back one first back-signalling；When the view
Frequency information indicates that the spacing of vehicle and front vehicles exists lower than a distance threshold, vehicle driving states information instruction vehicle
Emergency brake situation and the vehicle collision state information indicate vehicle collisionless situation, then the cloud analysis module feedback one
Second back-signalling；Normal, the described vehicle driving states information instruction driving in front of video information instruction driving direction
State is normally and vehicle collision state information instruction vehicle has collision situation, then the cloud analysis module feeds back a third
Back-signalling；
Wherein, the calculating process of the spacing of the vehicle and front vehicles specifically includes:
The spacing of the vehicle and front vehicles is the vehicle heading acquired by the vehicle behavior logging modle
The video information in front is calculated in conjunction with a mathematical model, and the vehicle behavior logging modle acquires the video information
It is by the three-dimensional scene projection in front of the vehicle driving to its corresponding two-dimensional image plane, in the acquisition of the video information
In the process, the central point P of the licence plate of front vehicles is chosen as distance reference point, and obtains following projection formula (1),
In the projection formula (1), (Xc, Yc, Zc) be the central point P world coordinates, (a, b) be the central point P exist
Corresponding imaging point P in the two-dimensional image plane0The image coordinate indicated with physical unit, f are that the vehicle behavior records mould
The focal length of pick-up lens in block, vertical range of the d between the space plane where the pick-up lens to the licence plate；
Simultaneously, it is assumed that digital picture coordinate will be converted to the image coordinate that physical unit indicates in the two-dimensional image plane
Conversion formula (2) is as follows,
In the conversion formula (2), (u0, v0) be digital picture central point coordinate, dxFor each pixel in digital picture
Physical size of the point with the digital picture central point in the direction of the x axis, dyFor each pixel in digital picture with it is described
The physical size of digital picture central point in the y-axis direction, (u, v) are the imaging point P0It is converted to corresponding after digital picture
Coordinate；
Then, the conversion formula (2) are substituted into the projection formula (1) and obtain following formula (3),
By the parameter Z in the formula (3)cValue be taken as 0 to get to following formula (4)
Then, it can be calculated by the formula (4) between the space plane where the pick-up lens to the licence plate
Vertical range d, while the vertical range d is the spacing of the vehicle and front vehicles.
4. networking vehicle mounted equipment flow control system as claimed in claim 3, it is characterised in that: the cloud analysis module is also
The detected value building of the brake condition and the gravity sensor of spacing d, vehicle based on the vehicle and front vehicles is following
Determine formula (5),
In the judgement formula (5), H is the current value of the gravity sensor, H0For the collision threshold of the gravity sensor
Value, d are the spacing of the vehicle and front vehicles, d0For the distance threshold, k is the braking factor values of vehicle, wherein if vehicle
There are emergency brake situation, then k > 0, if vehicle does not have emergency brake situation, k=0；
As the calculated result M < 0 for determining formula (5), the cloud analysis module feeds back the third back-signalling, when
Calculated result M > 0 and | M | when < 1, the cloud analysis module feeds back second back-signalling, when the calculated result
M > 0 and | M | when=1, the cloud analysis module feeds back first back-signalling；
Also, when the vehicle behavior logging modle receives first back-signalling, the vehicle driving logging modle root
The upload of video information is carried out according to the subsequent instructions signal of the cloud analysis module；When the vehicle behavior logging modle receives
To second back-signalling, current video information is directly uploaded to the cloud and stored by the vehicle driving logging modle
Module；When the vehicle behavior logging modle receives the third echo message, the vehicle driving logging modle will be current
Video information and its corresponding video information of front and back specific time period force to be uploaded to the cloud memory module.
5. networking vehicle mounted equipment flow control system as described in claim 1, it is characterised in that: when the cloud back-signalling
Indicate that current video information does not need to be uploaded to the cloud memory module, then the vehicle behavior logging modle is deleted current
When segment record vehicle behavior information, and another cloud status request is sent to the cloud analysis module again, to be closed
In the analysis and upload operation of the vehicle behavior information of subsequent period record.
6. networking vehicle mounted equipment flow control system as described in claim 1, it is characterised in that: the vehicle driving behavior note
Recording module further includes GPS positioning unit；Wherein, the GPD positioning unit obtains the real-time position information of vehicle；The cloud point
The real-time position information can be based on by analysing module, determine that vehicle is presently in corresponding cloud memory module number in regional scope
According to the state of upload, and state is uploaded based on the data, cloud back-signalling is fed back into the vehicle driving behavior record mould
Block.
7. networking vehicle mounted equipment flow control system as claimed in claim 6, it is characterised in that: when the data upload state
Instruction vehicle is presently in the upload flow of the overall data in regional scope and is greater than or equal to a upload flow threshold, then the cloud
Hold analysis module that one the 4th back-signalling is fed back to the vehicle driving behavior record module；Refer to when the data upload state
Show that the overall data that vehicle is presently in regional scope uploads flow less than the upload flow threshold, then the cloud analysis
One the 5th back-signalling is fed back to the vehicle driving behavior record module by module.
8. networking vehicle mounted equipment flow control system as claimed in claim 7, it is characterised in that: when the vehicle driving behavior
Logging modle receives the 4th back-signalling, and the vehicle driving behavior record module suspends the upper of current video information
Pass operation；When the vehicle driving behavior record module receives the 5th back-signalling, the vehicle driving behavior record
Module maintains the upload operation of current video information constant.
9. networking vehicle mounted equipment flow control system as described in claim 1, it is characterised in that: the vehicular behavior information into
One step includes vehicle driving speed, wherein when the vehicle driving speed is greater than or equal to a threshold speed, then the cloud is divided
It analyses module and one the 4th back-signalling is fed back into the vehicle driving behavior record module, the vehicle driving behavior record module
Maintain the upload operation of current video information constant with this；When the vehicle driving speed is less than the threshold speed, then institute
It states cloud analysis module and one the 5th back-signalling is fed back into the vehicle driving behavior record module, the vehicle driving behavior
Logging modle suspends the upload operation of current video information with this.
10. networking vehicle mounted equipment flow control system as described in claim 1, it is characterised in that: the cloud back-signalling
Including a normal back-signalling, a busy back-signalling and a correct back-signalling, the vehicle behavior logging modle is based on institute
The upload that normal back-signalling carries out video information according to the intelligent terminal that the system connects is stated, the vehicle behavior records mould
Block based on the busy back-signalling according to it includes clock signal carry out the upload of video information, vehicle behavior record
Module is uploaded the video information recorded each time based on the correct back-signalling.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112073490A (en) * | 2020-08-31 | 2020-12-11 | 安徽中科美络信息技术有限公司 | Driving event monitoring method and system based on Internet of things technology |
| CN112367642A (en) * | 2020-10-30 | 2021-02-12 | 东风汽车集团有限公司 | Vehicle-mounted network load balancing method based on TBOX and mobile phone |
| CN114915646A (en) * | 2022-06-16 | 2022-08-16 | 上海伯镭智能科技有限公司 | Data grading uploading method and device for unmanned mine car |
| CN117201404A (en) * | 2023-09-26 | 2023-12-08 | 赛力斯汽车有限公司 | Vehicle data uploading method, device and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080244697A1 (en) * | 2002-06-24 | 2008-10-02 | International Business Machines Corporation | Security Objects Controlling Access To Resources |
| CN101568798A (en) * | 2006-07-31 | 2009-10-28 | 罗伯特·博世有限公司 | Method for determining the rotational axis and the rotating center of a vehicle wheel |
| CN103679839A (en) * | 2012-09-20 | 2014-03-26 | 信亿科技股份有限公司 | Integrated safe driving recorder system and method |
| CN104077819A (en) * | 2014-06-17 | 2014-10-01 | 深圳前向启创数码技术有限公司 | Remote monitoring method and system based on driving safety |
| CN104464307A (en) * | 2014-12-17 | 2015-03-25 | 合肥革绿信息科技有限公司 | Method and device for automatically detecting tunnel traffic jam events based on video |
| CN104573658A (en) * | 2015-01-09 | 2015-04-29 | 安徽清新互联信息科技有限公司 | Blind drive detection method based on support vector machine |
| CN105357237A (en) * | 2014-08-19 | 2016-02-24 | 北京奇虎科技有限公司 | Transmission method of driving record, automobile data recorder and system |
| CN106230940A (en) * | 2016-08-01 | 2016-12-14 | 深圳市智行畅联科技有限公司 | A kind of vehicle collision detection method based on vehicle intelligent terminal and system |
| CN106671900A (en) * | 2016-08-15 | 2017-05-17 | 成都云科新能汽车技术有限公司 | Vehicular terminal of electric commercial vehicle |
| CN106716468A (en) * | 2014-07-29 | 2017-05-24 | 电子湾有限公司 | Providing notifications based on user activity data |
| CN108900792A (en) * | 2018-07-26 | 2018-11-27 | 广州大学 | A kind of ubiquitous video evidence collecting method and system towards car networking |
-
2019
- 2019-01-28 CN CN201910082360.3A patent/CN109874099B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080244697A1 (en) * | 2002-06-24 | 2008-10-02 | International Business Machines Corporation | Security Objects Controlling Access To Resources |
| CN101568798A (en) * | 2006-07-31 | 2009-10-28 | 罗伯特·博世有限公司 | Method for determining the rotational axis and the rotating center of a vehicle wheel |
| CN103679839A (en) * | 2012-09-20 | 2014-03-26 | 信亿科技股份有限公司 | Integrated safe driving recorder system and method |
| CN104077819A (en) * | 2014-06-17 | 2014-10-01 | 深圳前向启创数码技术有限公司 | Remote monitoring method and system based on driving safety |
| CN106716468A (en) * | 2014-07-29 | 2017-05-24 | 电子湾有限公司 | Providing notifications based on user activity data |
| CN105357237A (en) * | 2014-08-19 | 2016-02-24 | 北京奇虎科技有限公司 | Transmission method of driving record, automobile data recorder and system |
| CN104464307A (en) * | 2014-12-17 | 2015-03-25 | 合肥革绿信息科技有限公司 | Method and device for automatically detecting tunnel traffic jam events based on video |
| CN104573658A (en) * | 2015-01-09 | 2015-04-29 | 安徽清新互联信息科技有限公司 | Blind drive detection method based on support vector machine |
| CN106230940A (en) * | 2016-08-01 | 2016-12-14 | 深圳市智行畅联科技有限公司 | A kind of vehicle collision detection method based on vehicle intelligent terminal and system |
| CN106671900A (en) * | 2016-08-15 | 2017-05-17 | 成都云科新能汽车技术有限公司 | Vehicular terminal of electric commercial vehicle |
| CN108900792A (en) * | 2018-07-26 | 2018-11-27 | 广州大学 | A kind of ubiquitous video evidence collecting method and system towards car networking |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112073490A (en) * | 2020-08-31 | 2020-12-11 | 安徽中科美络信息技术有限公司 | Driving event monitoring method and system based on Internet of things technology |
| CN112073490B (en) * | 2020-08-31 | 2022-12-30 | 中科美络科技股份有限公司 | Driving event monitoring method and system based on Internet of things technology |
| CN112367642A (en) * | 2020-10-30 | 2021-02-12 | 东风汽车集团有限公司 | Vehicle-mounted network load balancing method based on TBOX and mobile phone |
| CN112367642B (en) * | 2020-10-30 | 2024-08-23 | 岚图汽车科技有限公司 | Vehicle-mounted network load balancing method based on TBOX and mobile phone |
| CN114915646A (en) * | 2022-06-16 | 2022-08-16 | 上海伯镭智能科技有限公司 | Data grading uploading method and device for unmanned mine car |
| CN114915646B (en) * | 2022-06-16 | 2024-04-12 | 上海伯镭智能科技有限公司 | Data grading uploading method and device for unmanned mine car |
| CN117201404A (en) * | 2023-09-26 | 2023-12-08 | 赛力斯汽车有限公司 | Vehicle data uploading method, device and storage medium |
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