CN108873865A - A kind of network control method of intelligent driving, system, Vehicle Controller and automobile - Google Patents
A kind of network control method of intelligent driving, system, Vehicle Controller and automobile Download PDFInfo
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- CN108873865A CN108873865A CN201810737648.5A CN201810737648A CN108873865A CN 108873865 A CN108873865 A CN 108873865A CN 201810737648 A CN201810737648 A CN 201810737648A CN 108873865 A CN108873865 A CN 108873865A
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- 230000004048 modification Effects 0.000 claims description 7
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- 206010039203 Road traffic accident Diseases 0.000 abstract description 10
- 238000012360 testing method Methods 0.000 description 6
- 238000012857 repacking Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
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- 238000005265 energy consumption Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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Abstract
The invention discloses a kind of network control method of intelligent driving, system, Vehicle Controller, automobile and cloud data server, this method is applied to Vehicle Controller, including：Vehicle Controller obtains the current situation of remote of this vehicle, and sends cloud data server for current situation of remote by mobile network；It receives cloud data server and corresponding real-time road condition information is returned to by mobile network；Real-time control is carried out to this vehicle according to real-time road condition information；The present invention obtains the corresponding real-time road condition information of current situation of remote using mobile network by Vehicle Controller, avoids the case where driver cannot obtain traffic information in time, it is possible to reduce traffic congestion happens；Real-time control is carried out to this vehicle according to real-time road condition information by Vehicle Controller, automatically or driver can be assisted to carry out car steering in real time by Vehicle Controller, the operation error during even avoiding artificial driving is reduced, traffic accident quantity is reduced.
Description
Technical field
The present invention relates to intelligent driving technical field, in particular to a kind of network control method of intelligent driving, system, vehicle
Set controller, automobile and cloud data server.
Background technique
With the development of modern society's science and technology, automobile is widely used in a variety of applications in the production and living of people.However, according to
World Health Organization's statistics, the whole world have 1,240,000 people to die of traffic accident every year, this number is likely to be breached 2,200,000 in the year two thousand thirty,
United States highways death toll in 2016 is about 40,000 people, has 94% to be attributable to mistake in traffic accident, people are driving vapour
It is difficult to avoid operation error during vehicle, encounters emergency and be difficult in a very short period of time, to be integrated according to the actual situation
Analysis, makes correct judgement, and can not be right since driver cannot obtain traffic information in time in rush hour
Vehicle carries out uniformly coordinated, easily causes congestion, causes the high energy consumption and maximum discharge of a large amount of automobiles, prevent efficient resource is from being closed
Reason utilizes.Therefore, traffic accident quantity how is greatly reduced, reduces traffic congestion and happens, reduces greenhouse gases row
Amount, be now urgent need to resolve the problem of.
Summary of the invention
The object of the present invention is to provide a kind of network control method of intelligent driving, system, Vehicle Controller, automobile and clouds
Data server reduces traffic accident quantity to transmit real-time road condition information using mobile network, reduces traffic congestion situation hair
It is raw.
In order to solve the above technical problems, the present invention provides a kind of network control method of intelligent driving, it is applied to vehicle-mounted control
Device processed, including：
The Vehicle Controller obtains the current situation of remote of this vehicle, and by mobile network by the current situation of remote
It is sent to cloud data server；
It receives the cloud data server and corresponding real-time road condition information is returned to by mobile network；
Real-time control is carried out to this vehicle according to the real-time road condition information.
Optionally, described to be believed according to the real-time road when the current situation of remote includes the location information of this vehicle
Breath carries out real-time control to this vehicle, including：
The Current traffic within the scope of the first predeterminable area determined according to location information described in the real-time road condition information
Management information, present road condition information and current weather information, automatic modification or prompt user modify the driving information of this vehicle；
Wherein, the driving information includes speed per hour information, brake information, throttle information, direction information, clutch information and light information
At least one of.
Optionally, described according to the real-time road when the current situation of remote further includes the driving information of this vehicle
Current traffic management information, present road condition information within the scope of the first determining predeterminable area of location information described in information
And current weather information, it is automatic to modify or user is prompted to modify the driving information of this vehicle, further include：
The associated vehicle within the scope of the second predeterminable area determined according to location information described in the real-time road condition information
Driving information, automatic modification or prompt user modify the driving information of this vehicle.
Optionally, described that cloud data server is sent for the current situation of remote by mobile network, including：
The cloud data server is sent by information of vehicles and the current situation of remote by mobile network；Wherein,
The information of vehicles includes the license plate number information of this vehicle.
Optionally, described that real-time control is carried out to this vehicle according to the real-time road condition information, including：
According to the problems in real-time road condition information information of vehicles, the automatic driving modified or user is prompted to modify this vehicle
Information；Wherein, described problem information of vehicles includes the problem vehicle within the scope of the third predeterminable area of the location information determination of this vehicle
Driving information.
Optionally, this method further includes：
The publicity information of this vehicle is disclosed by other vehicles of wireless network into the 4th predeterminable area；Wherein, institute
Show that publicity information includes the license plate number information；
Receive the respective publicity information of other vehicles within the scope of the 4th predeterminable area；
The associated vehicle within the scope of the second predeterminable area determined according to location information described in the real-time road condition information
License plate number information, the respective license plate number information of other vehicles within the scope of the 4th predeterminable area is identified；
The cloud data server is sent by mobile network by the license plate number information for identifying other unsuccessful vehicles.
The present invention also provides a kind of Vehicle Controllers, including：
Memory, for storing computer program；
Processor realizes the network control of intelligent driving as described in any one of the above embodiments when for executing the computer program
The step of method processed.
The present invention also provides a kind of automobiles, including：Vehicle Controller as described in the next item up.
The present invention also provides a kind of network control methods of intelligent driving, are applied to cloud data server, including：
The current situation of remote that the cloud data server is sent by the Vehicle Controller that mobile network receives vehicle；
The corresponding real-time road condition information of the current situation of remote is obtained, and the real-time road condition information is passed through into mobile network
Network is sent to the Vehicle Controller.
Optionally, described to obtain the current vehicle condition letter when the current situation of remote includes the location information of this vehicle
Corresponding real-time road condition information is ceased, including：
Obtain Current traffic management information within the scope of the first predeterminable area that the location information determines, present road shape
Condition information and current weather information.
Optionally, the current vehicle condition that the cloud data server is sent by the Vehicle Controller that mobile network receives vehicle
Information, including：
The license plate number information of the current situation of remote and the vehicle is received by mobile network；
Problem vehicle identification is carried out to the license plate number information, and the current situation of remote and license plate number of problem vehicle are believed
Breath is sent to supervisory systems.
The present invention also provides a kind of cloud data servers, including：
Memory, for storing computer program；
Processor realizes the network control of intelligent driving as described in any one of the above embodiments when for executing the computer program
The step of method processed.
The present invention also provides a kind of network control systems of intelligent driving, including：It is as described in any one of the above embodiments vehicle-mounted
Cloud data server described in controller and the next item up；Wherein, the Vehicle Controller and the cloud data server pass through shifting
Dynamic network connection.
Optionally, which further includes：The supervisory systems being connect with the cloud data server.
Optionally, which further includes：Pass through other Vehicle Controllers of wireless network connection with the Vehicle Controller.
A kind of network control method of intelligent driving provided by the present invention is applied to Vehicle Controller, including：Vehicle-mounted control
Device processed obtains the current situation of remote of this vehicle, and sends cloud data server for current situation of remote by mobile network；It connects
It receives cloud data server and corresponding real-time road condition information is returned to by mobile network；This vehicle is carried out according to real-time road condition information real
When control；
Believe as it can be seen that the present invention obtains the corresponding real-time road of current situation of remote using mobile network by Vehicle Controller
Breath, avoids the case where driver cannot obtain traffic information in time, it is possible to reduce traffic congestion happens；By vehicle-mounted
Controller carries out real-time control to this vehicle according to real-time road condition information, can or auxiliary driver automatic in real time by Vehicle Controller
Member carries out car steering, reduces the operation error during even avoiding artificial driving, reduces traffic accident number
Amount.In addition, the present invention also provides a kind of network control system of intelligent driving, Vehicle Controller, automobile and cloud data services
Device equally has above-mentioned beneficial effect.
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
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of the network control method of intelligent driving provided by the embodiment of the present invention；
Fig. 2 is the knot of the Vehicle Controller of the network control method of another kind intelligent driving provided by the embodiment of the present invention
Structure schematic diagram；
Fig. 3 is the structure flow chart of the network control method of another kind intelligent driving provided by the embodiment of the present invention；
Fig. 4 is a kind of structure chart of the network control system of intelligent driving provided by the embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Referring to FIG. 1, Fig. 1 is a kind of process of the network control method of intelligent driving provided by the embodiment of the present invention
Figure.This method is applied to Vehicle Controller, may include：
Step 101：Vehicle Controller obtains the current situation of remote of this vehicle, and passes through mobile network for current situation of remote
It is sent to cloud data server.
Wherein, the purpose of the present embodiment can be the current vehicle condition of this vehicle that Vehicle Controller will acquire by mobile network
Information is sent to cloud data server so that cloud data server by mobile network return current situation of remote it is corresponding in real time
Real-time road condition information needed for traffic information, i.e. Vehicle Controller carry out real-time control to this vehicle, to make Vehicle Controller can
To carry out real-time control to this vehicle using real-time road condition information, traffic accident quantity is reduced, traffic congestion is reduced and happens.
It should be noted that being obtained for Vehicle Controller and by the specific of the current situation of remote of mobile network's transmission
Content can only can include this vehicle by designer according to practical scene and user (driver) demand self-setting
Location information, such as GPS information；Also may include the current driving information of this vehicle, such as speed per hour information, brake information, throttle information,
Direction information, clutch information and light information etc.；It can also include the vehicle of this vehicle that Vehicle Controller real-time detection obtains
Information, such as the annual test information and repacking information of this vehicle.The present embodiment does not do any restrictions to this.
It is corresponding, the concrete mode of the current situation of remote of this vehicle is obtained for Vehicle Controller, it can be by designer
Self-setting can be with if the processor in Vehicle Controller can obtain the location information of this vehicle by the positioning device of vehicle
The current driving information and information of vehicles of this vehicle is obtained by corresponding detection device.As long as Vehicle Controller is available current
Situation of remote, the present embodiment do not do any restrictions to this.
Specifically, the mobile network in this step is the removable network used, such as mobile, telecommunications and connection mobile network
Network provided by network operator can be by designer for the specific choice of mobile network used in Vehicle Controller
Self-setting, as Vehicle Controller supports GSM (2G), TD-SCDMA (3G), TD-LTE (4G), WCDMA (3G), FDD-LTE
(4G), CDMA1X (2G), EVDO (3G) and 5G network formats.As long as Vehicle Controller can be by mobile network by current vehicle condition
Information is sent to cloud data server, and the present embodiment does not do any restrictions to this.
It is understood that in order to improve the safety of method provided by the present embodiment, cloud data server needs pair
Vehicle where the Vehicle Controller being connect by mobile network with it identifies, since Vehicle Controller is not easy to detect such as vehicle
Information of vehicles needed for the vehicle identifications such as the trade mark, Vehicle Identify Number and motor number, this step can be Vehicle Controller mobile network
Cloud data server is sent by the information of vehicles of the license plate number information including this vehicle and current situation of remote, is such as dispatched from the factory in automobile
Before, SIM card number and license plate number or license plate number, Vehicle Identify Number and hair needed for Vehicle Controller connection mobile network can be preset
Corresponding relationship between the combination of motivation number allows cloud data server to determine Vehicle Controller place by SIM card number
Vehicle.As long as cloud data server can determine and its by mobile network connect Vehicle Controller where vehicle, this reality
It applies example and does not do any restrictions to this.
Step 102：It receives cloud data server and corresponding real-time road condition information is returned to by mobile network.
Wherein, this step can receive the current vehicle condition that cloud data server is returned by mobile network for Vehicle Controller
The corresponding real-time road condition information of information.The particular content of real-time road condition information received for Vehicle Controller, it is, cloud number
According to the particular content for the corresponding real-time road condition information that server is returned according to current situation of remote, can by designer according to
Practical scene and user demand self-setting may include the first predeterminable area model that location information determines in real-time road condition information
Interior Current traffic management information, present road condition information and current weather information are enclosed, i.e. cloud data server can basis
The location information of this vehicle obtains traffic management information current in the location information environs (such as finger signal information, speed limit
Information, prompting message, forbid information, warning message, instruction information and accident information etc.), road condition information (such as road construction
Information, road maintenance information and the information that changes its course etc.) and weather information (such as greasy weather, rainy day, snowy day, cloudy day, hail, earthquake and mud
The information such as rock glacier)；It also may include mutually cut-offfing within the scope of the second predeterminable area of location information determination in real-time road condition information
Driving information, i.e. cloud data server can obtain location information environs (this vehicle according to the location information of this vehicle
0~1 kilometer range all around on the road of place) in cloud data server send driving information vehicle (mutually cut-off
) driving information；It can also include that electronic map information (is set by electronic map operator according to real road and road are attached
Apply the electronic map of the variation real-time update of information), to update the electronic map stored in Vehicle Controller.The present embodiment is to this
Do not do any restrictions.
It should be noted that the company of cloud data server and the supervisory systems of supervision department can be passed through in the present embodiment
It connects, informs that is travelled on supervision department's road has security risk vehicle, reduce safe on-road hidden danger.Cloud data clothes
Business device can send supervisory systems for the license plate number information of Vehicle Controller transmission and current situation of remote, make supervisory systems can
Problem vehicle is identified and be tracked law enforcement；The problem of cloud data server can also being identified itself vehicle license plate
Number information and current situation of remote are sent to supervisory systems, alarm, as cloud data server can be believed according to security administration
License plate number information in breath (such as steal rob information of vehicles, non-annual test information of vehicles and refitted vehicles information of vehicles), to receiving
Vehicle Controller send itself license plate number information carry out problem vehicle identification.
Corresponding, the real-time road condition information in this step can also include the third preset areas that the location information of this vehicle determines
The driving information (problem information of vehicles) of problem vehicle within the scope of domain, i.e. cloud data server can be believed according to the positioning of this vehicle
Breath, obtains the driving information of the problem vehicle in the location information environs, makes to reduce problem vehicle to this vehicle traveling
At security risk.
Further, the method for automobile is reequiped illegal there is very big security risk, due to changing internal structure or parameter,
Do not change appearance, so law enfrocement official is difficult to find；And many automobiles do not execute annual test on schedule, it is very difficult to it is found, because
This, is when the current situation of remote that Vehicle Controller is sent includes the information of vehicles such as annual test information and repacking information, cloud data
Server can send the license plate number information of annual test information, repacking information and Ben Che to the supervisory systems of supervision department, reduce
Safe on-road hidden danger.
It is understood that automobile of road running automobile can on each in order to be further reduced the security risk on road
To disclose certain publicity information (information is only supported to read, and does not support to be written or control) by wireless network, for other
Vehicle reads reference, it is ensured that driving safety.That is, the Vehicle Controller in the present embodiment is pre- to the 4th by wireless network
If other vehicles in regional scope disclose the publicity information of this vehicle；And other vehicles received within the scope of the 4th predeterminable area are each
From publicity information.Wherein, the particular content of publicity information can only can include that license plate number is believed by designer's self-setting
Breath also may include the information that other such as speed per hour information, annual test information and repacking information cannot conceal.The present embodiment to this not
Do any restrictions.
Corresponding, the real-time road condition information in this step can also include the second preset areas that the location information of this vehicle determines
The license plate number information of associated vehicle within the scope of domain, so that Vehicle Controller can be according to associated vehicle in real-time road condition information
License plate number information identifies the respective license plate number information of other vehicles of wireless network connection, will identify it is unsuccessful its
The license plate number information of his vehicle is sent to cloud data server by mobile network, i.e., Vehicle Controller can be by this vehicle nearby not
The publicity information for carrying out the vehicle of mobile network's connection with cloud data server is sent to cloud data server, is further reduced
The security risk of road.
Step 103：Real-time control is carried out to this vehicle according to real-time road condition information.
It is understood that carrying out real-time control to this vehicle according to real-time road condition information for Vehicle Controller in this step
Concrete mode, can be by designer according to practical scene and user demand self-setting, when this vehicle is autonomous driving vehicle
When, it is vehicle-mounted if real-time road condition information only includes Current traffic management information, present road condition information and current weather information
Controller can realize that the evacuation that detours such as opens congested link, have red light letter in front by modifying the driving information of this vehicle automatically
Number when analysis speed per hour at the uniform velocity move ahead, avoid accelerate and brake, it is energy-saving, and the greasy weather start fog lamp the purpose of；If in real time
When traffic information also includes the driving information of associated vehicle, Vehicle Controller can by modifying the driving information of this vehicle automatically,
It realizes such as according to the brake information pre-decelerating of front truck, avoids the purpose to knock into the back；If real-time road condition information further includes problem vehicle
When information, Vehicle Controller can be realized as kept away in advance or far from allowing problem vehicle by modifying the driving information of this vehicle automatically
Purpose；When this vehicle is artificial driving, Vehicle Controller can prompt user to modify this by voice or display device
The driving information of vehicle, realizes purpose similar to above, and auxiliary driver carries out safe driving.The present embodiment does not appoint this
What is limited.
Further, when this vehicle is autonomous driving vehicle, Vehicle Controller can also be received by mobile network and be moved
The control instruction and location information of intelligent terminal, control autonomous driving vehicle drive to the corresponding position of the location information.For
The specific choice of mobile intelligent terminal, can by user or designer's self-setting, such as can for automobile remote controllers, mobile phone or
Tablet computer.The present embodiment does not do any restrictions to this.
Specifically, to the specific structure of Vehicle Controller in this present embodiment, it can be by designer according to practical field
What user demand self-setting of scape, can be as shown in Fig. 2, include processor (CPU), mainboard, the I/O interface connecting with mainboard, A/
D conversion module, D/A conversion module, bus module, memory, locating module, radio-frequency module, sim module are (for installing SIM
Card, and coding and decoding connect mobile network by radio-frequency module, which can be license plate number or license plate number and vehicle frame
Number, the combination of motor number, SIM card module can support IC card simultaneously) and human-computer interaction (such as display screen, touch screen, key,
Fingerprint, face recognition and speech recognition etc.).By that can install SIM card, processor can be connected by radio-frequency module antenna and be moved
Dynamic network connects cloud data server by mobile network and obtains real-time road condition information, comes car assisted driving or automatic Pilot,
Real-time, the accuracy of traffic information when being driven with improving, it is ensured that driving stability, accurate, safety.
In the present embodiment, the embodiment of the present invention obtains current situation of remote using mobile network by Vehicle Controller and corresponds to
Real-time road condition information, avoid the case where driver cannot obtain traffic information in time, it is possible to reduce traffic congestion situation
Occur；Real-time control is carried out to this vehicle according to real-time road condition information by Vehicle Controller, it can be real-time certainly by Vehicle Controller
Dynamic or auxiliary driver carries out car steering, reduces the operation error during even avoiding artificial driving, drop
Low traffic accident quantity.
The embodiment of the invention also provides a kind of Vehicle Controllers, including：Memory, for storing computer program；Place
Device being managed, the step of the network control method of intelligent driving provided by an embodiment as above is realized when for executing computer program
Suddenly.
The embodiment of the invention also provides a kind of automobiles, including：Vehicle Controller provided by an embodiment as above.
Referring to FIG. 3, Fig. 3 is the structure of the network control method of another kind intelligent driving provided by the embodiment of the present invention
Flow chart.This method is applied to cloud data server, may include：
Step 201：Cloud data server is believed by the current vehicle condition that the Vehicle Controller that mobile network receives vehicle is sent
Breath.
Optionally, the license plate of the vehicle of the Vehicle Controller transmission of vehicle can also be received in this step by mobile network
Number information；Problem vehicle identification is carried out to license plate number information, and the current situation of remote and license plate number information of problem vehicle are sent out
It is sent to supervisory systems.
Step 202：The corresponding real-time road condition information of current situation of remote is obtained, and real-time road condition information is passed through into mobile network
Network is sent to Vehicle Controller.
Optionally, the current situation of remote pair of acquisition when current situation of remote includes the location information of this vehicle, in this step
The real-time road condition information answered can be：Obtain the Current traffic management letter within the scope of the first predeterminable area that location information determines
Breath, present road condition information and current weather information.
It is understood that the present embodiment can be corresponding with the network control method of intelligent driving provided by Fig. 1
Cloud data server execution method, the network control of particular content in the present embodiment intelligent driving provided by Fig. 1
Corresponding introduction is carried out in the embodiment of method processed, details are not described herein.
In the present embodiment, the embodiment of the present invention sends it to Vehicle Controller using mobile network by cloud data server
The current corresponding real-time road condition information of situation of remote, avoids the case where driver cannot obtain traffic information in time, can be with
Traffic congestion is reduced to happen；Vehicle Controller controls place automobile according to real-time road condition information in real time
System automatically or assists driver to carry out car steering in real time by Vehicle Controller, it is possible to reduce or even avoid artificial driving
Operation error during automobile reduces traffic accident quantity.
The embodiment of the invention also provides a kind of cloud data servers, including：Memory, for storing computer program；
Processor realizes the step of the network control method of intelligent driving provided by an embodiment as above when for executing computer program
Suddenly.
Referring to FIG. 4, Fig. 4 is a kind of structure of the network control system of intelligent driving provided by the embodiment of the present invention
Figure.The system may include：
Vehicle Controller 10 and the cloud data as provided by above-mentioned any embodiment as provided by above-mentioned any embodiment
Server 20；Wherein, Vehicle Controller is connect with cloud data server by mobile network.
Optionally, which can also include：The supervisory systems being connect with cloud data server.
Optionally, which can also include：Pass through other Vehicle Controllers of wireless network connection with Vehicle Controller
(Vehicle Controllers of other automobiles).
In the present embodiment, the embodiment of the present invention is obtained using mobile network from cloud data server 20 by Vehicle Controller 10
The corresponding real-time road condition information of current situation of remote is taken, the case where driver cannot obtain traffic information in time is avoided, it can
It is happened with reducing traffic congestion；Vehicle Controller 10 is carried out according to real-time road condition information to place automobile real-time
Control automatically or assists driver to carry out car steering in real time by Vehicle Controller 10, it is possible to reduce or even avoid artificially driving
The operation error during automobile is sailed, traffic accident quantity is reduced.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities
The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For system, vehicle disclosed in embodiment
For set controller, automobile and cloud data server, since it is corresponded to the methods disclosed in the examples, so the comparison of description
Simply, reference may be made to the description of the method.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
Above to the network control method of intelligent driving provided by the present invention, system, Vehicle Controller, automobile and cloud number
It is described in detail according to server.Specific case used herein explains the principle of the present invention and embodiment
It states, the above description of the embodiment is only used to help understand the method for the present invention and its core ideas.It should be pointed out that for this skill
For the those of ordinary skill in art field, without departing from the principle of the present invention, several change can also be carried out to the present invention
Into and modification, these improvements and modifications also fall within the scope of protection of the claims of the present invention.
Claims (15)
1. a kind of network control method of intelligent driving, which is characterized in that it is applied to Vehicle Controller, including：
The Vehicle Controller obtains the current situation of remote of this vehicle, and is sent the current situation of remote by mobile network
To cloud data server；
It receives the cloud data server and corresponding real-time road condition information is returned to by mobile network；
Real-time control is carried out to this vehicle according to the real-time road condition information.
2. the network control method of intelligent driving according to claim 1, which is characterized in that when the current situation of remote
It is described that real-time control is carried out to this vehicle according to the real-time road condition information when location information including this vehicle, including：
The Current traffic management within the scope of the first predeterminable area determined according to location information described in the real-time road condition information
Information, present road condition information and current weather information, automatic modification or prompt user modify the driving information of this vehicle；Its
In, the driving information includes in speed per hour information, brake information, throttle information, direction information, clutch information and light information
At least one of.
3. the network control method of intelligent driving according to claim 2, which is characterized in that when the current situation of remote
When further including the driving information of this vehicle, the first determining preset areas of the location information according to the real-time road condition information
Current traffic management information, present road condition information and current weather information within the scope of domain, automatic modification or prompt user
The driving information for modifying this vehicle further includes：
The associated vehicle within the scope of the second predeterminable area determined according to location information described in the real-time road condition information is driven
Information is sailed, the automatic driving information modified or user is prompted to modify this vehicle.
4. the network control method of intelligent driving according to any one of claims 1 to 3, which is characterized in that described to pass through
The current situation of remote is sent cloud data server by mobile network, including：
The cloud data server is sent by information of vehicles and the current situation of remote by mobile network；Wherein, described
Information of vehicles includes the license plate number information of this vehicle.
5. the network control method of intelligent driving according to claim 4, which is characterized in that described according to the real-time road
Condition information carries out real-time control to this vehicle, including：
According to the problems in real-time road condition information information of vehicles, automatic modification or the driving for prompting user to modify this vehicle are believed
Breath；Wherein, described problem information of vehicles includes the problem vehicle within the scope of the third predeterminable area of the location information determination of this vehicle
Driving information.
6. the network control method of intelligent driving according to claim 4, which is characterized in that further include：
The publicity information of this vehicle is disclosed by other vehicles of wireless network into the 4th predeterminable area；Wherein, shown public affairs
Show that information includes the license plate number information；
Receive the respective publicity information of other vehicles within the scope of the 4th predeterminable area；
The vehicle of the associated vehicle within the scope of the second predeterminable area determined according to location information described in the real-time road condition information
Trade mark information identifies the respective license plate number information of other vehicles within the scope of the 4th predeterminable area；
The cloud data server is sent by mobile network by the license plate number information for identifying other unsuccessful vehicles.
7. a kind of Vehicle Controller, which is characterized in that including：
Memory, for storing computer program；
Processor realizes the net such as intelligent driving as claimed in any one of claims 1 to 6 when for executing the computer program
The step of network control method.
8. a kind of automobile, which is characterized in that including：Vehicle Controller as claimed in claim 7.
9. a kind of network control method of intelligent driving, which is characterized in that it is applied to cloud data server, including：
The current situation of remote that the cloud data server is sent by the Vehicle Controller that mobile network receives vehicle；
The corresponding real-time road condition information of the current situation of remote is obtained, and the real-time road condition information is sent out by mobile network
It is sent to the Vehicle Controller.
10. the network control method of intelligent driving according to claim 9, which is characterized in that when the current vehicle condition is believed
It is described to obtain the corresponding real-time road condition information of the current situation of remote when breath includes the location information of this vehicle, including：
Obtain the Current traffic management information within the scope of the first predeterminable area that the location information determines, present road situation is believed
Breath and current weather information.
11. the network control method of intelligent driving according to claim 9 or 10, which is characterized in that the cloud data clothes
The current situation of remote that business device is sent by the Vehicle Controller that mobile network receives vehicle, including：
The license plate number information of the current situation of remote and the vehicle is received by mobile network；
Problem vehicle identification is carried out to the license plate number information, and the current situation of remote and license plate number information of problem vehicle are sent out
It is sent to supervisory systems.
12. a kind of cloud data server, which is characterized in that including：
Memory, for storing computer program；
Processor is realized when for executing the computer program such as the described in any item intelligent drivings of claim 8 to 10
The step of network control method.
13. a kind of network control system of intelligent driving, which is characterized in that including：Vehicle Controller as claimed in claim 7
With cloud data server as claimed in claim 12；Wherein, the Vehicle Controller and the cloud data server pass through shifting
Dynamic network connection.
14. the network control system of intelligent driving according to claim 13, which is characterized in that further include：With the cloud
The supervisory systems of data server connection.
15. the network control system of intelligent driving according to claim 13, which is characterized in that further include：With the vehicle
Set controller passes through other Vehicle Controllers of wireless network connection.
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| CN201810737648.5A CN108873865A (en) | 2018-07-06 | 2018-07-06 | A kind of network control method of intelligent driving, system, Vehicle Controller and automobile |
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| CN201810737648.5A CN108873865A (en) | 2018-07-06 | 2018-07-06 | A kind of network control method of intelligent driving, system, Vehicle Controller and automobile |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109743369A (en) * | 2018-12-24 | 2019-05-10 | 武汉长江通信智联技术有限公司 | A kind of processing unit, the method and system of the real time data based on car networking |
| CN110264758A (en) * | 2019-05-27 | 2019-09-20 | 北京邮电大学 | Information of vehicles processing and exchange method, processing and interactive system based on thin cloud |
| CN111367252A (en) * | 2018-12-26 | 2020-07-03 | 北京图森智途科技有限公司 | Parking control method, equipment and system |
| CN111923884A (en) * | 2020-09-11 | 2020-11-13 | 深圳小木科技有限公司 | New energy automobile and braking system and method thereof |
| CN112349103A (en) * | 2019-08-06 | 2021-02-09 | 广州中广国科测控技术有限公司 | Electronic marking method for motor vehicle |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101833868A (en) * | 2010-05-20 | 2010-09-15 | 浙江中控研究院有限公司 | Traffic monitoring system and monitoring method |
| CN102985277A (en) * | 2010-12-31 | 2013-03-20 | 北京星河易达科技有限公司 | Intelligent traffic safety system based on comprehensive state detection and decision method thereof |
| CN104616516A (en) * | 2013-11-04 | 2015-05-13 | 深圳市赛格导航科技股份有限公司 | Driving safety auxiliary control method and driving safety auxiliary control system |
| CN104882001A (en) * | 2015-06-30 | 2015-09-02 | 北京奇虎科技有限公司 | Driving behavior monitoring method, device and system based on automobile data recorder |
| CN105628047A (en) * | 2016-02-04 | 2016-06-01 | 智车优行科技（北京）有限公司 | Intelligent vehicle navigation system, navigation method and intelligent vehicle |
| CN105741595A (en) * | 2016-04-27 | 2016-07-06 | 常州加美科技有限公司 | Unmanned vehicle navigation driving method based on cloud database |
| CN105739534A (en) * | 2016-04-22 | 2016-07-06 | 百度在线网络技术（北京）有限公司 | Multi-vehicle cooperative driving method and apparatus for driverless vehicles based on Internet-of-vehicles |
| CN105788330A (en) * | 2016-04-29 | 2016-07-20 | 百度在线网络技术（北京）有限公司 | Real-time road-condition early warning method of unmanned vehicle and apparatus thereof |
| CN106467112A (en) * | 2016-10-11 | 2017-03-01 | 斑马信息科技有限公司 | Vehicle-mounted DAS (Driver Assistant System) |
| CN106601001A (en) * | 2015-10-16 | 2017-04-26 | 普天信息技术有限公司 | Vehicle communication method and system |
| CN106767859A (en) * | 2016-11-14 | 2017-05-31 | 胡家安 | A kind of automobile navigation method |
| CN107085965A (en) * | 2017-06-21 | 2017-08-22 | 上海博泰悦臻网络技术服务有限公司 | Skylight based on road conditions and weather/vehicle window control method, system and vehicle device |
| WO2018036197A1 (en) * | 2016-08-26 | 2018-03-01 | 中兴通讯股份有限公司 | Driverless vehicle control method, terminal, server, and system |
| WO2018059103A1 (en) * | 2016-09-27 | 2018-04-05 | 蔚来汽车有限公司 | Same-direction preceding vehicle travel information-based method and system for emergency situation early warning |
| CN108027242A (en) * | 2015-11-30 | 2018-05-11 | 华为技术有限公司 | Automatic Pilot air navigation aid, device, system, car-mounted terminal and server |
| CN208819074U (en) * | 2018-07-06 | 2019-05-03 | 杭州和利时自动化有限公司 | A kind of network control system of intelligent driving |
-
2018
- 2018-07-06 CN CN201810737648.5A patent/CN108873865A/en active Pending
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101833868A (en) * | 2010-05-20 | 2010-09-15 | 浙江中控研究院有限公司 | Traffic monitoring system and monitoring method |
| CN102985277A (en) * | 2010-12-31 | 2013-03-20 | 北京星河易达科技有限公司 | Intelligent traffic safety system based on comprehensive state detection and decision method thereof |
| CN104616516A (en) * | 2013-11-04 | 2015-05-13 | 深圳市赛格导航科技股份有限公司 | Driving safety auxiliary control method and driving safety auxiliary control system |
| CN104882001A (en) * | 2015-06-30 | 2015-09-02 | 北京奇虎科技有限公司 | Driving behavior monitoring method, device and system based on automobile data recorder |
| CN106601001A (en) * | 2015-10-16 | 2017-04-26 | 普天信息技术有限公司 | Vehicle communication method and system |
| CN108027242A (en) * | 2015-11-30 | 2018-05-11 | 华为技术有限公司 | Automatic Pilot air navigation aid, device, system, car-mounted terminal and server |
| CN105628047A (en) * | 2016-02-04 | 2016-06-01 | 智车优行科技（北京）有限公司 | Intelligent vehicle navigation system, navigation method and intelligent vehicle |
| CN105739534A (en) * | 2016-04-22 | 2016-07-06 | 百度在线网络技术（北京）有限公司 | Multi-vehicle cooperative driving method and apparatus for driverless vehicles based on Internet-of-vehicles |
| CN105741595A (en) * | 2016-04-27 | 2016-07-06 | 常州加美科技有限公司 | Unmanned vehicle navigation driving method based on cloud database |
| CN105788330A (en) * | 2016-04-29 | 2016-07-20 | 百度在线网络技术（北京）有限公司 | Real-time road-condition early warning method of unmanned vehicle and apparatus thereof |
| WO2018036197A1 (en) * | 2016-08-26 | 2018-03-01 | 中兴通讯股份有限公司 | Driverless vehicle control method, terminal, server, and system |
| WO2018059103A1 (en) * | 2016-09-27 | 2018-04-05 | 蔚来汽车有限公司 | Same-direction preceding vehicle travel information-based method and system for emergency situation early warning |
| CN106467112A (en) * | 2016-10-11 | 2017-03-01 | 斑马信息科技有限公司 | Vehicle-mounted DAS (Driver Assistant System) |
| CN106767859A (en) * | 2016-11-14 | 2017-05-31 | 胡家安 | A kind of automobile navigation method |
| CN107085965A (en) * | 2017-06-21 | 2017-08-22 | 上海博泰悦臻网络技术服务有限公司 | Skylight based on road conditions and weather/vehicle window control method, system and vehicle device |
| CN208819074U (en) * | 2018-07-06 | 2019-05-03 | 杭州和利时自动化有限公司 | A kind of network control system of intelligent driving |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109743369A (en) * | 2018-12-24 | 2019-05-10 | 武汉长江通信智联技术有限公司 | A kind of processing unit, the method and system of the real time data based on car networking |
| CN109743369B (en) * | 2018-12-24 | 2021-09-24 | 武汉长江通信智联技术有限公司 | Real-time data processing device, method and system based on Internet of vehicles |
| CN111367252A (en) * | 2018-12-26 | 2020-07-03 | 北京图森智途科技有限公司 | Parking control method, equipment and system |
| CN111367252B (en) * | 2018-12-26 | 2024-02-06 | 北京图森智途科技有限公司 | Parking control method, device and system |
| CN110264758A (en) * | 2019-05-27 | 2019-09-20 | 北京邮电大学 | Information of vehicles processing and exchange method, processing and interactive system based on thin cloud |
| CN112349103A (en) * | 2019-08-06 | 2021-02-09 | 广州中广国科测控技术有限公司 | Electronic marking method for motor vehicle |
| CN111923884A (en) * | 2020-09-11 | 2020-11-13 | 深圳小木科技有限公司 | New energy automobile and braking system and method thereof |
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