CN111986484A - Internet-of-vehicles vehicle condition monitoring method based on big data - Google Patents
Internet-of-vehicles vehicle condition monitoring method based on big data Download PDFInfo
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- CN111986484A CN111986484A CN202010887211.7A CN202010887211A CN111986484A CN 111986484 A CN111986484 A CN 111986484A CN 202010887211 A CN202010887211 A CN 202010887211A CN 111986484 A CN111986484 A CN 111986484A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096855—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/0969—Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/133—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams within the vehicle ; Indicators inside the vehicles or at stops
- G08G1/137—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams within the vehicle ; Indicators inside the vehicles or at stops the indicator being in the form of a map
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- General Health & Medical Sciences (AREA)
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- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a vehicle condition monitoring method based on big data for an internet of vehicles, which comprises the steps of vehicle information login, vehicle positioning and peripheral vehicle searching, vehicle traveling time timing, uploading a vehicle traveling route to a big data platform, uploading vehicle traveling road surface information to the big data platform, receiving road condition information according to the route, receiving traveling road surface information of a vehicle ahead, and early warning and time warning of driving safety. The invention has the beneficial effects that: the received running road information of the vehicle ahead is a running road image uploaded by the vehicle passing through the route for the last time, so that the timeliness is stronger and the reference is better; the driving road condition information of other vehicles can be obtained in advance by uploading the driving route of the vehicle, a driver can predict the road condition ahead in advance, in addition, the monitoring of the driving condition of the vehicle is formed through the driving images of the surrounding vehicles, and the network information communication of the vehicle can be formed so as to reduce the potential safety hazard.
Description
Technical Field
The invention relates to a vehicle condition monitoring method, in particular to a vehicle condition monitoring method based on big data in the Internet of vehicles, and belongs to the technical field of application of the Internet of vehicles.
Background
The internet of vehicles means that vehicles are connected to form a network. The automobile and the automobile form an automobile network, the automobile network is connected with the Internet, the three networks realize data intercommunication among people, the automobile, the road and the cloud based on a uniform protocol, and finally realize functions of intelligent transportation, intelligent automobile, intelligent driving and the like, and with the gradual popularization of automobiles and the high-speed development of mobile internet technology, the internet of vehicles is more and more emphasized by people, the vehicle condition of the vehicle can be monitored by the vehicle networking technology to improve the driving safety, but for the existing vehicle condition monitoring technology of the vehicle networking, it is often only able to monitor the driving condition of the vehicle, and on the road, the driving vehicle is not only one vehicle, therefore, when the running condition of surrounding vehicles is not monitored, the running information intercommunication of the vehicles cannot be formed, and still larger potential safety hazards exist.
Disclosure of Invention
The invention aims to provide a vehicle condition monitoring method based on big data for solving the problems.
The invention realizes the purpose through the following technical scheme: a vehicle networking vehicle condition monitoring method based on big data comprises the following steps:
step one, vehicle information login, wherein a driver logs in a vehicle networking platform based on big data through a password at a vehicle-mounted display terminal before starting a vehicle;
secondly, positioning and searching surrounding vehicles by the vehicle, positioning the position of the vehicle on a map through a GPS positioning system, inputting the position of the vehicle to a vehicle networking platform, and simultaneously searching other surrounding vehicles logged in the vehicle networking according to the position of the vehicle;
thirdly, timing the vehicle running time, starting the calculation when the driver starts the vehicle to run, and monitoring the running time of the vehicle;
step four, uploading the driving route of the vehicle to a big data platform, inputting the position coordinates of a destination by a driver on the Internet of vehicles platform, and uploading the route to the big data platform after the platform plans the driving route;
step five, uploading the running road surface information of the vehicle to a big data platform, monitoring the image of the running road surface of the vehicle through a vehicle recorder of the vehicle to obtain the road condition information of the vehicle in the running process, and uploading the obtained road condition information to the big data platform;
step six, receiving road condition information according to a route, transmitting the road condition information uploaded by other vehicles passing through the route to a display terminal of the vehicle by a big data platform according to a driving route uploaded by the vehicle, judging whether the route needs to be re-planned according to the road condition information by a driver, if so, re-uploading the driving route, transmitting the road condition information of a new route to the display terminal of the vehicle again, and if not, directly carrying out the next step operation;
step seven, receiving the driving road information of the vehicles ahead, and transmitting the driving road images uploaded by the vehicles passing through the route to a display terminal of the vehicle by the big data platform, so that a driver can observe the road information to be driven in advance;
and step eight, driving safety early warning and time length warning, wherein the big data platform can monitor the driving condition of the vehicle in the image through the driving image uploaded by other vehicles around, so that the big data platform of the internet of vehicles can monitor the driving of the vehicle in the driving process, when overspeed or deviation from a driving lane occurs, the safety early warning is sent out, and when the vehicle continuously drives for a certain time length, the warning is also sent out.
As a still further scheme of the invention: in the first step, when logging in, the selected login user may be owner information or frame number information of the vehicle.
As a still further scheme of the invention: in the second step, the vehicles in front of and behind the vehicle and the vehicles on both sides are included when the surrounding vehicles are searched.
As a still further scheme of the invention: in the sixth step, the processing of the uploaded route by the big data platform comprises the following steps:
A. when a vehicle passes through the complete route, directly transmitting the road condition information uploaded by the vehicle to the vehicle;
B. when the vehicles passing through the complete route are not found, segmenting the route according to intersections, and searching road condition information uploaded by the vehicles passing through each road section;
C. and splicing the road condition information of the multiple road sections to form the road condition information of the planned route of the vehicle, and then transmitting the road condition information to the vehicle.
As a still further scheme of the invention: in the seventh step, the traveling road surface information of the preceding vehicle received by the vehicle is a traveling road surface image uploaded by a vehicle passing through the route last time.
The invention has the beneficial effects that: the vehicle condition monitoring method based on the big data is reasonable in design, the selected login user can be owner information or frame number information of the vehicle, and different login user information can be selected according to habits of different drivers; the received running road information of the vehicle ahead is a running road image uploaded by the vehicle passing through the route for the last time, so that the timeliness is stronger and the reference is better; the driving road condition information of other vehicles can be obtained in advance by uploading the driving route of the vehicle, a driver can predict the road condition ahead in advance, in addition, the monitoring of the driving condition of the vehicle is formed through the driving images of the surrounding vehicles, and the network information communication of the vehicle can be formed so as to reduce the potential safety hazard.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a vehicle condition monitoring method based on big data in the internet of vehicles includes the following steps:
step one, vehicle information login, wherein a driver logs in a vehicle networking platform based on big data through a password at a vehicle-mounted display terminal before starting a vehicle;
secondly, positioning and searching surrounding vehicles by the vehicle, positioning the position of the vehicle on a map through a GPS positioning system, inputting the position of the vehicle to a vehicle networking platform, and simultaneously searching other surrounding vehicles logged in the vehicle networking according to the position of the vehicle;
thirdly, timing the vehicle running time, starting the calculation when the driver starts the vehicle to run, and monitoring the running time of the vehicle;
step four, uploading the driving route of the vehicle to a big data platform, inputting the position coordinates of a destination by a driver on the Internet of vehicles platform, and uploading the route to the big data platform after the platform plans the driving route;
step five, uploading the running road surface information of the vehicle to a big data platform, monitoring the image of the running road surface of the vehicle through a vehicle recorder of the vehicle to obtain the road condition information of the vehicle in the running process, and uploading the obtained road condition information to the big data platform;
step six, receiving road condition information according to a route, transmitting the road condition information uploaded by other vehicles passing through the route to a display terminal of the vehicle by a big data platform according to a driving route uploaded by the vehicle, judging whether the route needs to be re-planned according to the road condition information by a driver, if so, re-uploading the driving route, transmitting the road condition information of a new route to the display terminal of the vehicle again, and if not, directly carrying out the next step operation;
step seven, receiving the driving road information of the vehicles ahead, and transmitting the driving road images uploaded by the vehicles passing through the route to a display terminal of the vehicle by the big data platform, so that a driver can observe the road information to be driven in advance;
and step eight, driving safety early warning and time length warning, wherein the big data platform can monitor the driving condition of the vehicle in the image through the driving image uploaded by other vehicles around, so that the big data platform of the internet of vehicles can monitor the driving of the vehicle in the driving process, when overspeed or deviation from a driving lane occurs, the safety early warning is sent out, and when the vehicle continuously drives for a certain time length, the warning is also sent out.
Further, in the embodiment of the present invention, in the first step, when logging in, the selected login user may be owner information or frame number information of the vehicle, and different login user information may be selected according to habits of different drivers.
Further, in the embodiment of the present invention, in the second step, when searching for the surrounding vehicles, the surrounding vehicles including the vehicles in front of and behind the host vehicle and the vehicles on the left and right sides can form a mesh information connection with the surrounding vehicles, and the vehicle driving condition of the host vehicle can be monitored by other vehicles.
Further, in the sixth embodiment of the present invention, in the step six, the processing of the uploaded route by the big data platform includes the following steps:
A. when a vehicle passes through the complete route, directly transmitting the road condition information uploaded by the vehicle to the vehicle;
B. when the vehicles passing through the complete route are not found, segmenting the route according to intersections, and searching road condition information uploaded by the vehicles passing through each road section;
C. and splicing the road condition information of the multiple road sections to form the road condition information of the planned route of the vehicle, and then transmitting the road condition information to the vehicle.
Further, in the seventh embodiment of the present invention, in the step seven, the driving road information of the preceding vehicle received by the host vehicle is a driving road image uploaded by a vehicle that has recently passed through the route, so that the timeliness is stronger and the reference is better.
The working principle is as follows: when the vehicle condition monitoring method based on the big data is used, the driving road condition information of other vehicles can be obtained in advance by uploading the driving route of the vehicle, a driver can predict the road condition ahead in advance, in addition, the monitoring of the driving condition of the vehicle is formed through the driving images of surrounding vehicles, the network information communication of the vehicle can be formed, and the potential safety hazard is reduced.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (5)
1. The utility model provides a car networking vehicle condition monitoring method based on big data which characterized in that: the method comprises the following steps:
step one, vehicle information login, wherein a driver logs in a vehicle networking platform based on big data through a password at a vehicle-mounted display terminal before starting a vehicle;
secondly, positioning and searching surrounding vehicles by the vehicle, positioning the position of the vehicle on a map through a GPS positioning system, inputting the position of the vehicle to a vehicle networking platform, and simultaneously searching other surrounding vehicles logged in the vehicle networking according to the position of the vehicle;
thirdly, timing the vehicle running time, starting the calculation when the driver starts the vehicle to run, and monitoring the running time of the vehicle;
step four, uploading the driving route of the vehicle to a big data platform, inputting the position coordinates of a destination by a driver on the Internet of vehicles platform, and uploading the route to the big data platform after the platform plans the driving route;
step five, uploading the running road surface information of the vehicle to a big data platform, monitoring the image of the running road surface of the vehicle through a vehicle recorder of the vehicle to obtain the road condition information of the vehicle in the running process, and uploading the obtained road condition information to the big data platform;
step six, receiving road condition information according to a route, transmitting the road condition information uploaded by other vehicles passing through the route to a display terminal of the vehicle by a big data platform according to a driving route uploaded by the vehicle, judging whether the route needs to be re-planned according to the road condition information by a driver, if so, re-uploading the driving route, transmitting the road condition information of a new route to the display terminal of the vehicle again, and if not, directly carrying out the next step operation;
step seven, receiving the driving road information of the vehicles ahead, and transmitting the driving road images uploaded by the vehicles passing through the route to a display terminal of the vehicle by the big data platform, so that a driver can observe the road information to be driven in advance;
and step eight, driving safety early warning and time length warning, wherein the big data platform can monitor the driving condition of the vehicle in the image through the driving image uploaded by other vehicles around, so that the big data platform of the internet of vehicles can monitor the driving of the vehicle in the driving process, when overspeed or deviation from a driving lane occurs, the safety early warning is sent out, and when the vehicle continuously drives for a certain time length, the warning is also sent out.
2. The big-data-based vehicle condition monitoring method in the Internet of vehicles according to claim 1, wherein the method comprises the following steps: in the first step, when logging in, the selected login user may be owner information or frame number information of the vehicle.
3. The big-data-based vehicle condition monitoring method in the Internet of vehicles according to claim 1, wherein the method comprises the following steps: in the second step, the vehicles in front of and behind the vehicle and the vehicles on both sides are included when the surrounding vehicles are searched.
4. The big-data-based vehicle condition monitoring method in the Internet of vehicles according to claim 1, wherein the method comprises the following steps: in the sixth step, the processing of the uploaded route by the big data platform comprises the following steps:
A. when a vehicle passes through the complete route, directly transmitting the road condition information uploaded by the vehicle to the vehicle;
B. when the vehicles passing through the complete route are not found, segmenting the route according to intersections, and searching road condition information uploaded by the vehicles passing through each road section;
C. and splicing the road condition information of the multiple road sections to form the road condition information of the planned route of the vehicle, and then transmitting the road condition information to the vehicle.
5. The big-data-based vehicle condition monitoring method in the Internet of vehicles according to claim 1, wherein the method comprises the following steps: in the seventh step, the traveling road surface information of the preceding vehicle received by the vehicle is a traveling road surface image uploaded by a vehicle passing through the route last time.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113353247A (en) * | 2021-07-05 | 2021-09-07 | 中国商用飞机有限责任公司 | Airplane anti-skid brake control method and system based on image recognition technology |
| CN116039663A (en) * | 2023-04-03 | 2023-05-02 | 深圳智者行天下科技有限公司 | Artificial intelligence-based AI early warning system for internet of vehicles and commercial vehicles |
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Application publication date: 20201124 |