CN115410394A - Internet of vehicles is with dangerous early warning reminding device of big data analysis - Google Patents
Internet of vehicles is with dangerous early warning reminding device of big data analysis Download PDFInfo
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- CN115410394A CN115410394A CN202210916298.5A CN202210916298A CN115410394A CN 115410394 A CN115410394 A CN 115410394A CN 202210916298 A CN202210916298 A CN 202210916298A CN 115410394 A CN115410394 A CN 115410394A
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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
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
- G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
- G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
- G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
- G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
- G08B5/38—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources using flashing light
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- 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
- G08G1/09623—Systems involving the acquisition of information from passive traffic signs by means mounted on the vehicle
-
- 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
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096775—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to the technical field of big data analysis danger early warning and reminding of an internet of vehicles, in particular to a danger early warning and reminding device for big data analysis of the internet of vehicles, which comprises a vehicle, wherein the vehicle comprises a road administration module, a real-time module and a danger module, the vehicle is connected with an internal early warning module, the vehicle is connected with a learning module, the learning module mainly records road condition burst information records, nearby vehicle accident records, vehicle driving habit records, traffic accident road section information records and driving mode information records, and the vehicle can detect nearby road side information.
Description
Technical Field
The invention relates to the technical field of big data analysis and danger early warning reminding of the Internet of vehicles, in particular to a danger early warning reminding device for big data analysis of the Internet of vehicles.
Background
At present, the car networking industry faces the resonance of policy, the resonance of triple factor of technique and industry, under 5G and AI enable, the country provides policy support to the car networking industry, and the car reserves, the new car permeability of car networking and the reserve permeability are all expected to be promoted continuously, there is huge potential market space in the future development of car networking, the development faces historical opportunity, be in just starting stage in comparison with domestic car networking market, the car networking industry development is highly regarded as to country and regional government such as U.S. Pat. No. 5, europe, asia, etc. with the car networking industry as the strategic improvement point, the dangerous record that the car networking big data recorded can be fine in the operation reminds the navigating mate to avoid the emergence of some accident, improve factor of safety.
The car networking has certain timeliness to the record analysis, every vehicle driver's driving habit is different, the car networking can't study and the record to the driving habit of difference, thereby lead to can't independently study, dangerous early warning is not comprehensive enough, and the car networking can only remind driver in the car, can't remind the personnel outside the car to carry out timely avoiding or reminding, the effect is relatively poor, there is near vehicle to have the potential safety hazard on the way that some vehicles travel, can only remind through loudspeaker, the unable timely warning potential safety hazard vehicle concrete item, it is not good to remind the effect.
Disclosure of Invention
The invention aims to provide a danger early warning and reminding device for big data analysis in the Internet of vehicles, which aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a danger early warning and reminding device for big data analysis in Internet of vehicles comprises a vehicle,
the vehicle comprises a road administration module, a real-time module and a danger module, the vehicle is connected with an internal early warning module, the vehicle is connected with a learning module, and the learning module records road condition burst information records, nearby vehicle accident records, vehicle driving habit records, traffic accident section information records and driving mode information records;
the vehicle can detect nearby roadside information, wherein the roadside information comprises traffic light states, traffic guidance information and road pointing information;
the vehicle carries out information interaction with a public transportation platform through Internet of vehicles information, and the inquiry information of the public transportation platform comprises traffic jam information, traffic accident information, road ponding information and road construction information;
the vehicle can detect the information of surrounding vehicles through a nearby radar, and the detection range of the information of the surrounding vehicles comprises moving trend information, steering direction information, accident information of the nearby vehicles, vehicle out-of-control information and vehicle approaching information of two sides;
the vehicle identifies and detects traffic signs, and the traffic signs comprise speed limit, height limit, no-go and sharp turn.
Preferably, the locomotive both sides of vehicle all are equipped with light characters and remind the structure, light characters is reminded the structure and is included the display screen, the rear end fixedly connected with sticky plate of display screen, the top fixedly connected with dustcoat of display screen, the front end fixedly connected with bulb of dustcoat, the right-hand member fixedly connected with wireless receiver of dustcoat, wireless receiver's outside fixedly connected with rotor plate.
Preferably, the locomotive network is connected with a control center through a wireless receiver, a radar is arranged in the control center, the radar of the control center detects that a vehicle approaches, and a display screen sends out text information to remind the vehicle after the vehicle approaches.
Preferably, the control center grades the danger early warning, and when the level 1 early warning is sent out, a group of three bulbs on the left side send out light to flicker alternately;
when 2-level early warning is sent out, two groups of six bulbs on the left side and the middle side send out light to flicker alternately;
when 3-level early warning is sent out, all three groups of bulbs flicker alternately.
Preferably, bottom one side of vehicle is equipped with ground projection and reminds the structure, ground projection reminds the structure and includes the mounting panel, and mounting panel and vehicle block, the board is thrown to one side fixedly connected with of mounting panel, throw the inside fixedly connected with of board and throw in the head.
Preferably, the inside block of putting in the head has the clamp plate, one side of clamp plate is rotated and is connected with the screw thread axle, the screw thread axle runs through the mounting panel, and screw thread axle and clamp plate screwed connection, the inner wall opposite side fixedly connected with slipmat of mounting panel, and slipmat and vehicle laminating.
Preferably, a wireless receiving structure is arranged inside the putting head, and the putting head edits the putting information through display information editing.
Preferably, the delivery head delivers the edited information to the ground.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through the arranged autonomous learning module, various sudden road condition information, nearby vehicle accident records, vehicle driving information, traffic accident section highly-developed information and driving habit information of a driver are recorded, and the information is analyzed by the Internet of vehicles, so that the early warning range is improved and more comprehensive;
2. according to the invention, through the arranged display screen, the bulb, the wireless receiver and the outer cover, the bulb can quickly send out light warning before danger occurs, the light warning with different intensity can be sent out according to different danger degrees, and partial information is logged on the display screen to be displayed in a matching manner, so that the approach of nearby dangers is avoided, and the effect is better;
3. according to the invention, through the arrangement of the mounting plate, the throwing head, the pressing plate and the threaded shaft, the throwing head throws the pre-edited projection information onto the ground for more clearly reminding a nearby vehicle driver, so that the possibility of potential safety hazards is avoided, and the reminding effect is improved.
Drawings
FIG. 1 is a flowchart of the Internet of vehicles autonomous learning of the present invention;
FIG. 2 is a schematic view of the mounting structure of the vehicle of the present invention;
FIG. 3 is a schematic structural diagram of a light text reminding structure according to the present invention;
FIG. 4 is a flow chart of the light text prompt display of the present invention;
FIG. 5 is a schematic view of the mounting structure of the dispensing head according to the present invention;
FIG. 6 is a flowchart illustrating editing of projection information according to the present invention.
In the figure: 1-vehicle, 2-light and text reminding structure, 201-display screen, 202-sticky board, 203-outer cover, 204-bulb, 205-wireless receiver, 206-rotating board, 3-ground projection reminding structure, 301-mounting board, 302-projection board, 303-projection head, 304-pressing board, 305-threaded shaft, 306-non-slip mat.
Detailed Description
Example 1:
referring to fig. 1-6, the present invention provides a technical solution:
a danger early warning and reminding device for big data analysis in the Internet of vehicles comprises a vehicle 1,
vehicle 1 includes road administration module, real-time module and dangerous module, inside early warning module is connected to vehicle 1, vehicle 1 is connected with the learning module, the learning module mainly has the road conditions information record of breaking out, near vehicle record of doing things, vehicle driving habit record, traffic accident highway section information record and driving mode information record, the driving habit of navigating mate is recorded at any time to the learning module, constantly add dangerous early warning on the car networking to the emergence of continuous reduction danger.
The vehicle 1 can detect nearby roadside information, the roadside information comprises traffic light states, traffic guidance information and road pointing information, and the vehicle 1 scans and inputs the roadside information to improve the observed information amount.
The vehicle 1 carries out information interaction with the public transportation platform through the internet of vehicles information, the public transportation platform mainly inquires information including traffic jam information, traffic accident information, road ponding information and road construction information, the internet of vehicles is connected to the public transportation platform, and the inquiry of nearby traffic road conditions is realized, so that the avoidance is realized, and the driving time is saved.
The vehicle 1 can detect the information of the surrounding vehicles through the surrounding radar, the detection range of the information of the surrounding vehicles comprises moving trend information, steering direction information, accident information of the surrounding vehicles, out-of-control information of the vehicle, approaching information of the vehicles at two sides and the recorded information of the surrounding vehicles 1, so that the danger source is avoided in advance.
The vehicle 1 identifies and detects traffic signs, and the traffic signs comprise speed limit, height limit, no-go and sharp turn, so that the vehicle is prevented from entering some restricted road sections and being unable to pass.
Example 2:
vehicle 1's locomotive both sides all are equipped with light characters and remind structure 2, light characters reminds structure 2 includes display screen 201, the rear end fixedly connected with adhesive plate 202 of display screen 201, the top fixedly connected with dustcoat 203 of display screen 201, the front end fixedly connected with bulb 204 of dustcoat 203, the right-hand member fixedly connected with wireless receiver 205 of dustcoat 203, the outside fixedly connected with rotor plate 206 of wireless receiver 205, display screen 201 passes through adhesive plate 202 and installs vehicle 1's outside, and is simple in operation, use the continuous scintillation of bulb 204, remind near personnel to keep away from, the effect is better.
Example 3:
the car locomotive networking is through wireless receiver 205 connection control center, and the inside radar that is equipped with of control center, the control center radar detect the vehicle and are close to, and the vehicle is close to back display screen 201 and sends text message and reminds, and wireless receiver 205 detects near vehicle to outside output information reminds personnel to keep away from.
Example 4:
the control center grades the danger early warning, and when the level 1 early warning is sent out, a group of three bulbs 204 on the left side send out light to flicker alternately;
when the level 2 early warning is sent out, two groups of six bulbs 204 at the left side and the middle part send out light to flicker alternately;
when a 3-level early warning is given out, all three groups of bulbs 204 flicker alternately; the early warning of the bulbs 204 in different degrees can improve different early warnings, and is very practical.
Example 5:
bottom one side of vehicle 1 is equipped with ground projection and reminds structure 3, and ground projection reminds structure 3 to include mounting panel 301, and mounting panel 301 and 1 block of vehicle, and board 302 is thrown to one side fixedly connected with of mounting panel 301, and the head 303 is thrown in to the inside fixedly connected with of throwing in board 302, and the mounting panel 301 is thrown subaerially through throwing in the head 303 of throwing in on the board 302, proposes clearer warning effect.
Example 6:
the inside block of throwing in head 303 has clamp plate 304, one side of clamp plate 304 is rotated and is connected with threaded shaft 305, threaded shaft 305 runs through mounting panel 301, and threaded shaft 305 and clamp plate 304 threaded connection, the inner wall opposite side fixedly connected with slipmat 306 of mounting panel 301, and slipmat 306 and the laminating of vehicle 1, rotate threaded shaft 305 and promote clamp plate 304 and fix a position the bottom side of vehicle 1, cooperation slipmat 306 compresses tightly the operation, the effectual head 303 that prevents of throwing in drops, the method of installation or dismantlement is all very simple.
Example 7:
the wireless receiving structure is arranged inside the putting head 303, the putting head 303 edits the putting information through display information editing, the putting head 303 receives and edits the information through the internal wireless receiving structure, the putting information is changed, and different danger sources are reminded.
Example 8:
the delivery head 303 delivers the edited information to the ground, and the delivered information can lead the dangerous potential safety hazards nearby to be far away.
The working process is as follows: the electric appliance of the device is a built-in power supply, a vehicle machine system of a vehicle 1 is networked, a road administration module, a real-time module and a danger module in the vehicle machine system of the vehicle 1 are respectively connected with different platforms to respectively identify speed limit, height limit, no-go and sharp turn in a traffic sign category, and a public traffic platform identifies traffic jam information, traffic accident information, road water accumulation information and road construction information in real time, so that a road section is avoided during driving of the vehicle 1, driving time is saved, peripheral vehicle information is screened through networking, moving trend information, steering direction information, nearby vehicle accident information, vehicle out-of-control information and vehicle approaching information on two sides are respectively far away from vehicles with high accident occurrence and avoid risks, a sticky plate 202 is connected to the vehicle 1 and a display screen 201 before the danger approaches, the signals are received through a wireless receiver 205, the bulbs 204 on an outer cover 203 are controlled to start to emit light and flash, the vehicle machine system grades the danger, the danger is grade 1 grade danger only carried out on the vehicle at the scratch grade level, a group of three bulbs 204 on the left side flash alternately to remind the danger nearby; 2-level danger, when slight damage is caused to a driver, the left and middle two groups of bulbs 204 alternately flicker, and meanwhile, the flicker frequency and the attention are improved, so that avoidance is performed; level 3 danger, when great damage is caused to a driver, all three groups of lights flicker, nearby workers are reminded by high-speed flickering lights, so that an external danger source is reminded, when the bulb 204 flickers, the simple reminding can be performed by matching with characters output by the display screen 201, if nearby vehicles have potential safety hazards in the driving process, the hazards can enter the release plate 302 through several common accident occurrence disasters input in advance, the hazards are released to the ground through the release head 303, images or character contents are formed to be output, nearby drivers are reminded, the hazards are avoided or reduced, and along with the continuous driving of the drivers, the learning module can record road condition outburst information, nearby vehicles, vehicle driving habits, vehicle section information and driving mode information, the learning danger habits are continuously recorded, and early warning reminding is performed when the actions occur.
The principles and embodiments of the present invention have been described herein using specific examples, which are presented only to assist in understanding the method and its core concepts of the present invention. It should be noted that there are no specific structures but rather a few limitations to the preferred embodiments of the present invention, and that many modifications, adaptations, and variations are possible and can be made by one skilled in the art without departing from the principles of the present invention; such modifications, variations, combinations, or adaptations of the invention using its spirit and scope, as defined by the claims, may be directed to other uses and embodiments.
Claims (8)
1. The utility model provides a danger early warning reminding device of big data analysis for internet of vehicles, including vehicle (1), its characterized in that:
the vehicle (1) comprises a road administration module, a real-time module and a danger module, the vehicle (1) is connected with an internal early warning module, the vehicle (1) is connected with a learning module, and the learning module records road condition burst information records, nearby vehicle accident records, vehicle driving habit records, traffic accident road section information records and driving mode information records;
the vehicle (1) can detect nearby roadside information, wherein the roadside information comprises traffic light states, traffic guidance information and road pointing information;
the vehicle (1) carries out information interaction with a public transportation platform through Internet of vehicles information, and the public transportation platform inquiry information comprises traffic jam information, traffic accident information, road ponding information and road construction information;
the vehicle (1) can detect surrounding vehicle information through a nearby radar, and the surrounding vehicle information detection range comprises moving trend information, steering direction information, nearby vehicle accident information, vehicle out-of-control information and vehicle approaching information on two sides;
the vehicle (1) identifies and detects traffic signs, and the traffic signs comprise speed limit, height limit, no-go and sharp turn.
2. The networking of vehicles is with dangerous early warning reminding device of big data analysis of claim 1, characterized in that: the vehicle head both sides of vehicle (1) all are equipped with light characters and remind structure (2), light characters are reminded structure (2) and are included display screen (201), the rear end fixedly connected with sticking plate (202) of display screen (201), top fixedly connected with dustcoat (203) of display screen (201), the front end fixedly connected with bulb (204) of dustcoat (203), the right-hand member fixedly connected with wireless receiver (205) of dustcoat (203), the outside fixedly connected with rotor plate (206) of wireless receiver (205).
3. The networking of vehicles is with dangerous early warning reminding device of big data analysis of claim 2, characterized in that: the vehicle-locomotive networking device is characterized in that the vehicle-locomotive networking device is connected with a control center through a wireless receiver (205), a radar is arranged in the control center, the radar of the control center detects that a vehicle approaches, and a display screen (201) sends out text information to remind the vehicle approaching.
4. The Internet of vehicles is with danger early warning reminding device of big data analysis of claim 2, characterized in that: the control center grades the danger early warning, and when the level 1 early warning is sent out, a group of three bulbs (204) on the left side send out light to flicker alternately;
when 2-level early warning is given out, two groups of six bulbs (204) at the left side and the middle part emit light to flicker alternately;
when a level 3 warning is issued, all three groups of bulbs (204) flash alternately.
5. The networking of vehicles is with dangerous early warning reminding device of big data analysis of claim 1, characterized in that: bottom one side of vehicle (1) is equipped with ground projection and reminds structure (3), ground projection reminds structure (3) including mounting panel (301), and mounting panel (301) and vehicle (1) block, board (302) are thrown to one side fixedly connected with of mounting panel (301), throw the inside fixedly connected with of board (302) and throw head (303).
6. The networking of vehicles is with dangerous early warning reminding device of big data analysis of claim 5, characterized in that: the inside block of putting in head (303) has clamp plate (304), one side of clamp plate (304) is rotated and is connected with screw thread axle (305), mounting panel (301) is run through in screw thread axle (305), and screw thread axle (305) and clamp plate (304) threaded connection, the inner wall opposite side fixedly connected with slipmat (306) of mounting panel (301), and slipmat (306) and vehicle (1) laminating.
7. The Internet of vehicles is with danger early warning reminding device of big data analysis of claim 5, characterized in that: the wireless receiving structure is arranged inside the putting head (303), and the putting head (303) edits the putting information through display information editing.
8. The networking of vehicles is with dangerous early warning reminding device of big data analysis of claim 5, characterized in that: and the delivery head (303) delivers the edited information to the ground.
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| CN202210916298.5A CN115410394A (en) | 2022-08-01 | 2022-08-01 | Internet of vehicles is with dangerous early warning reminding device of big data analysis |
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| CN202210916298.5A CN115410394A (en) | 2022-08-01 | 2022-08-01 | Internet of vehicles is with dangerous early warning reminding device of big data analysis |
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