CN210634508U - Road driving safety coefficient of accurate positioning - Google Patents
Road driving safety coefficient of accurate positioning Download PDFInfo
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- CN210634508U CN210634508U CN201920628430.6U CN201920628430U CN210634508U CN 210634508 U CN210634508 U CN 210634508U CN 201920628430 U CN201920628430 U CN 201920628430U CN 210634508 U CN210634508 U CN 210634508U
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Abstract
A road driving safety system with accurate positioning comprises a vehicle speed measuring unit, a vehicle-mounted terminal, a management center unit and a roadside monitoring unit, wherein the vehicle speed measuring unit comprises a first microprocessor, a speed measuring radar, a first camera and a first ZigBee module which are respectively connected with the first microprocessor; the vehicle-mounted terminal comprises a second microprocessor, and a display module, a GPS module and a second ZigBee module which are respectively connected with the second microprocessor; the management center unit comprises a server, a plurality of reference stations and a third ZigBee module which are respectively connected with the server; the roadside monitoring unit comprises a third microprocessor, a fourth ZigBee module and a second camera, wherein the fourth ZigBee module and the second camera are respectively connected with the third microprocessor. The road side monitoring unit is used for detecting pedestrians and large animals intruding into the road, monitoring the icing condition of each road section of the road, detecting the visibility of each road section of the road, monitoring the landslide and the road collapse condition of the road and improving the driving safety of the road; adopt the reference station, carry out accurate positioning to the vehicle that traveles and the unmanned aerial vehicle of patrolling, the management side of being convenient for carries out more detailed management.
Description
Technical Field
The utility model belongs to road safety monitoring field, concretely relates to road driving safety coefficient of accurate positioning.
Background
The existing vehicle-mounted device is limited to provide driving path navigation, the positioning precision is poor, the device is lack of intercommunication and interconnection with traffic monitoring equipment on a road, the information of a vehicle owner and a road manager is asymmetric, and the information of road conditions and accidents on the road in front cannot be informed to the vehicle owner in time. For example, the chinese patent "road traffic monitoring and guiding system based on road monitoring" with the publication number CN204155461U cannot monitor pedestrians and large animals intruding into the lane of the road, and cannot accurately locate vehicles on the road and the locations of traffic accidents on the road.
Disclosure of Invention
The utility model aims at solving the problem, the utility model aims at providing a road driving safety coefficient of accurate positioning builds wireless network with vehicle-mounted terminal and road traffic monitoring equipment developments, and the car owner of being convenient for in time knows road conditions and dangerous information in road the place ahead, and the car owner of being convenient for in time exchanges with the management side, improves driving safety, avoids the traffic accident, reduces casualties and loss of property.
The technical scheme of the utility model is a road driving safety system of accurate positioning, including a plurality of vehicle speed measuring units, a plurality of vehicle-mounted terminals, management center unit, still include a plurality of trackside monitoring units, the vehicle speed measuring unit includes first microprocessor and respectively rather than the speed measuring radar, first camera, the first zigBee module of being connected; the vehicle-mounted terminal comprises a second microprocessor, and a display module, a GPS module and a second ZigBee module which are respectively connected with the second microprocessor; the management center unit comprises a server, a plurality of reference stations and a third ZigBee module which are respectively connected with the server; the roadside monitoring unit comprises a third microprocessor, a fourth ZigBee module and a second camera which are respectively connected with the third microprocessor; the first ZigBee module, the second ZigBee module, the third ZigBee module and the fourth ZigBee module are connected with each other through a wireless network.
Further, the management center unit further comprises an unmanned aerial vehicle and a data transmission radio station which are connected in a communication mode, and the data transmission radio station is connected with the server.
Further, the management center unit further includes a plurality of displays connected to the server.
Further, the management center unit also comprises a DTU module connected with the server.
Further, the management center unit further comprises a first voice module connected with the server.
Further, the roadside monitoring unit also comprises an infrared camera connected with the third microprocessor.
Furthermore, the roadside monitoring unit also comprises a display screen connected with the third microprocessor.
Further, the roadside monitoring unit also comprises an icing sensor connected with the third microprocessor.
Further, the roadside monitoring unit further comprises a fog detector connected with the third microprocessor.
Further, the vehicle-mounted terminal also comprises a second voice module connected with the second microprocessor.
The utility model has the advantages that:
1) the road side monitoring unit is used for detecting pedestrians and large animals intruding into the road, monitoring the icing condition of each road section, detecting the visibility of each road section, monitoring the landslide and the road collapse condition of the road, providing more comprehensive road safety information for a manager and vehicle owners driving on the road, and improving the driving safety of the road;
2) the reference station is adopted to accurately position the running vehicle and the patrolling unmanned aerial vehicle, so that a manager can more finely manage the road and the running vehicle;
3) the management center unit displays road landslide accidents, road collapse accidents, pedestrian road break-in events, large animal road break-in events, road visibility and road icing conditions to managers, and dangerous conditions remind or give an alarm to the managers, so that the managers know the road and driving conditions in real time, the managers can find problems in time and take management measures.
Drawings
The present invention will be further explained with reference to the drawings and examples.
Fig. 1 is a block diagram of a vehicle speed measuring unit 1.
Fig. 2 is a block diagram of the in-vehicle terminal 2.
Fig. 3 is a block diagram of the management center unit 3.
Fig. 4 is a block diagram of the roadside monitoring unit 4.
Detailed Description
As shown in fig. 1-4, an accurately positioned road driving safety system includes a plurality of vehicle speed measuring units 1, a plurality of vehicle-mounted terminals 2, a management center unit 3, and a plurality of roadside monitoring units 4, where the vehicle speed measuring unit 1 includes a first microprocessor 101, and a speed measuring radar 102, a first camera 103, a first ZigBee module 104, and a memory 105, which are respectively connected thereto.
The vehicle-mounted terminal 2 comprises a second microprocessor 201, and a display module 202, a GPS module 203, a second ZigBee module 204 and a second voice module 205 which are respectively connected with the second microprocessor.
The management center unit 3 comprises a server 301, and 3 reference stations 302, a data transmission station 304, a hard disk video recorder 306, a DTU module 307, a third ZigBee module 308 and a first voice module 309 which are respectively connected with the server; the unmanned aerial vehicle 305 is in communication connection with the data transmission radio station 304; the management center unit 3 further includes 6 displays 303 connected to the server 301.
The roadside monitoring unit 4 comprises a third microprocessor 401, and a fourth ZigBee module 402, a second camera 403, an infrared camera 404, a display screen 405, an icing sensor 406, a fog detector 407 and an alarm 408 which are respectively connected with the third microprocessor.
The first ZigBee module 104, the second ZigBee module 204, the third ZigBee module 308 and the fourth ZigBee module 402 are connected with each other to form a ZigBee network.
The first microprocessor 101, the second microprocessor 201 and the third microprocessor 401 all adopt STM32F103VET6 microprocessors.
The speed measuring radar 102 adopts a Si-3 radar speed measuring instrument; the first camera 103 and the second camera 403 both adopt Haokawave iDS-2CD9371 cameras.
The display module 202 adopts a Jun display JMT050S800480-HM1 liquid crystal screen; the GPS module 203 employs an SKM51_ G-mouse satellite receiver.
The first ZigBee module 104, the second ZigBee module 204, the third ZigBee module 308, and the fourth ZigBee module 402 all use CC2431 chips.
The first voice module 309 and the second voice module 205 both adopt an M-LD3320 module.
The infrared camera 404 is FLIR Vue Pro; the model of the display screen 405 is Taimei TM-PH6-8S-SMD 3535; the icing sensor 406 is JCI-1600; the fog detector 407 employs a Vaisala LT31 visibility meter; the alarm 408 is implemented by YD-D3 audible and visual alarm.
In one embodiment, the road is an expressway, the vehicle speed measuring unit 1 is arranged above the road at intervals of 150 meters on the expressway, and the roadside monitoring unit 4 is arranged on the side of the road at intervals of 150 meters.
The working principle of the system with the structure is as follows: the first camera 103 identifies the license plate number of the vehicle by shooting the image of the vehicle on the road, the speed measuring radar 102 measures the speed of the vehicle running on the road, and the first microprocessor 101 sends the measured speed of the vehicle and the identified corresponding license plate number through the first ZigBee module, transmits the speed and the identified speed through the ZigBee network, receives the speed and the identified speed through the third ZigBee module and transmits the speed and the identified speed to the server 301; when detecting that the vehicle is overspeed, the first microprocessor 101 sends vehicle overspeed information through the first ZigBee module 104, transmits through the ZigBee network, receives through the second ZigBee module 204, transmits to the vehicle-mounted terminal 2 of the overspeed vehicle, and reminds the vehicle owner of speeding through the display module 202 and the second voice module 205.
The server 301 obtains code phase/carrier phase difference correction information according to the GPS satellite observation data acquired by the reference station 302, sends the code phase/carrier phase difference correction information through the third ZigBee module 308, transmits the code phase/carrier phase difference correction information through the ZigBee network, receives the code phase/carrier phase difference correction information through the second ZigBee module 204, and transmits the code phase/carrier phase difference correction information to the second microprocessor 201, the second microprocessor 201 obtains accurate positioning data of the vehicle-mounted terminal 2 by combining the code phase/carrier phase difference correction information and the GPS positioning data of the GPS module 203, the accurate positioning data is displayed by the display module 202, and the second microprocessor 201 transmits the accurate positioning data of the vehicle-mounted terminal 2 to the server 301 through the ZigBee network; the GPS positioning data of the unmanned aerial vehicle 305 is transmitted to the server 301 through the data transmission station 304, and the server 301 combines the code phase/carrier phase differential correction information and the GPS positioning data of the unmanned aerial vehicle 305 to obtain the accurate positioning data of the unmanned aerial vehicle 305.
The unmanned aerial vehicle 305 patrols the road, and the captured image and the GPS positioning data of the image are transmitted to the server 301 via the data transmission station 304.
The third microprocessor 401 performs image recognition on the image of the road shot by the second camera 403, and recognizes road landslide and road collapse accidents; the third microprocessor 401 identifies pedestrians and large animals entering the road according to the image collected by the infrared camera 404; the fog detector 407 detects atmospheric visibility at the road; the icing sensor 406 detects road icing conditions; the third microprocessor 401 sends road landslide accidents, road collapse accidents, road intrusion events of pedestrians, road intrusion events of large animals and road visibility through the fourth ZigBee module 402, transmits the road landslide accidents, the road collapse events, the road intrusion events of large animals through the ZigBee network, receives the road intrusion events through the second ZigBee module 204 and the third ZigBee module 308, and transmits the road visibility to the management center unit 3 and the vehicle-mounted terminal 2; when the third microprocessor 401 identifies a road landslide accident, a road collapse accident and road icing, the alarm 408 is triggered to give an alarm, and the display screen 405 of the road side monitoring unit 4 in the coming direction warns the owner of the vehicle on the road to prevent the danger in the front.
The hard disk video recorder 306 stores images and videos shot by the drone 305, the first camera 103, the second camera 403, and the infrared camera 404, and plays back the images and videos.
When the server 301 receives a road landslide accident, a road collapse accident, a pedestrian road break-in event and a large animal road break-in event, the server sends reminding information to a manager through the DTU 307, so that the manager can take management measures in time; the server 301 displays accurate positioning data of vehicles running on the road, speed information of the vehicles detected by the vehicle speed measuring unit 1, road landslide accidents, road collapse accidents, pedestrian road intrusion events, large animal road intrusion events, road visibility and road icing conditions detected by the road side monitoring unit 4 to managers through the display 303.
The manager talks with the vehicle owner through the first voice module 309 and the second voice module 205, the voice of the manager is collected through the first voice module 309, transmitted to the server 301, sent through the third ZigBee module 308, transmitted through the ZigBee network, received through the second ZigBee module 204, transmitted to the second microprocessor 201, and played to the vehicle owner through the second voice module 205; similarly, the vehicle owner reports the road driving abnormal conditions and the road traffic safety accidents to the manager.
Claims (10)
1. A road driving safety system with accurate positioning comprises a plurality of vehicle speed measuring units (1), a plurality of vehicle-mounted terminals (2), a management center unit (3) and a plurality of roadside monitoring units (4), wherein each vehicle speed measuring unit (1) comprises a first microprocessor (101), a speed measuring radar (102), a first camera (103) and a first ZigBee module (104) which are connected with the first microprocessor respectively; the vehicle-mounted terminal (2) comprises a second microprocessor (201), and a display module (202), a GPS module (203) and a second ZigBee module (204) which are respectively connected with the second microprocessor; the management center unit (3) comprises a server (301), a plurality of reference stations (302) and a third ZigBee module (308), wherein the reference stations and the third ZigBee module are respectively connected with the server; the roadside monitoring unit (4) comprises a third microprocessor (401), a fourth ZigBee module (402) and a second camera (403), wherein the fourth ZigBee module and the second camera are respectively connected with the third microprocessor; the first ZigBee module (104), the second ZigBee module (204), the third ZigBee module (308) and the fourth ZigBee module (402) are connected with each other through a wireless network.
2. Accurately positioned road driving safety system according to claim 1, characterized in that the management center unit (3) further comprises a communicatively connected drone (305) and a data radio station (304), the data radio station (304) being connected to the server (301).
3. Precision positioning road driving safety system according to claim 1, characterized in that the management center unit (3) further comprises a plurality of displays (303) connected to the server (301).
4. Precision positioned road driving safety system according to claim 1, characterized in that the management center unit (3) further comprises a DTU module (307) connected to the server (301).
5. Precision positioning road driving safety system according to claim 1, characterized in that the management center unit (3) further comprises a first voice module (309) connected to the server (301).
6. Accurately positioned road driving safety system according to claim 1, characterized in that the roadside monitoring unit (4) further comprises an infrared camera (404) connected to the third microprocessor (401).
7. Accurately positioned road driving safety system according to claim 1, characterized in that the roadside monitoring unit (4) further comprises a display screen (405) connected to the third microprocessor (401).
8. Accurately positioned road driving safety system according to claim 1, characterized in that the roadside monitoring unit (4) further comprises an icing sensor (406) connected to the third microprocessor (401).
9. Accurately positioned road driving safety system according to claim 1, characterized in that the roadside monitoring unit (4) further comprises a fog detector (407) connected to the third microprocessor (401).
10. Pinpoint road driving safety system according to any of claims 1-9, characterized in that the vehicle terminal (2) further comprises a second voice module (205) connected to a second microprocessor (201).
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201920628430.6U CN210634508U (en) | 2019-05-05 | 2019-05-05 | Road driving safety coefficient of accurate positioning |
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| CN201920628430.6U CN210634508U (en) | 2019-05-05 | 2019-05-05 | Road driving safety coefficient of accurate positioning |
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| CN210634508U true CN210634508U (en) | 2020-05-29 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117238042A (en) * | 2023-11-14 | 2023-12-15 | 深圳市蓝鲸智联科技股份有限公司 | Vehicle bottom living body monitoring system |
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- 2019-05-05 CN CN201920628430.6U patent/CN210634508U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117238042A (en) * | 2023-11-14 | 2023-12-15 | 深圳市蓝鲸智联科技股份有限公司 | Vehicle bottom living body monitoring system |
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