CN217157480U - Highway tunnel risk monitoring system based on people's car behavior analysis - Google Patents

Highway tunnel risk monitoring system based on people's car behavior analysis Download PDF

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Publication number
CN217157480U
CN217157480U CN202220988065.1U CN202220988065U CN217157480U CN 217157480 U CN217157480 U CN 217157480U CN 202220988065 U CN202220988065 U CN 202220988065U CN 217157480 U CN217157480 U CN 217157480U
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China
Prior art keywords
mounting bracket
vehicle
tunnel
camera
monitoring system
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CN202220988065.1U
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Chinese (zh)
Inventor
何福成
张林冲
陈保祥
王营
罗坤
陈子彦
张力伟
刘澈
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CCCC First Highway Engineering Co Ltd
China Merchants Chongqing Communications Research and Design Institute Co Ltd
Guizhou Transportation Planning Survey and Design Academe Co Ltd
Original Assignee
CCCC First Highway Engineering Co Ltd
China Merchants Chongqing Communications Research and Design Institute Co Ltd
Guizhou Transportation Planning Survey and Design Academe Co Ltd
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Application filed by CCCC First Highway Engineering Co Ltd, China Merchants Chongqing Communications Research and Design Institute Co Ltd, Guizhou Transportation Planning Survey and Design Academe Co Ltd filed Critical CCCC First Highway Engineering Co Ltd
Priority to CN202220988065.1U priority Critical patent/CN217157480U/en
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Abstract

The utility model discloses a highway tunnel risk monitoring system based on people's car behavioral analysis, it includes the mounting bracket that is equipped with before the highway tunnel entry, both sides are equipped with microwave radar vehicle response equipment around the mounting bracket, are equipped with the camera that the high-speed snapshot driver's facial information and vehicle information used on the mounting bracket, are equipped with marginal calculation controller on the mounting bracket, data interchange between microwave radar vehicle response equipment and the camera, between camera and the marginal calculation controller, the marginal calculation controller passes through wireless transmission device and is connected with the surveillance center platform, is equipped with information display device in the mounting bracket traffic direction, is equipped with reputation warning device in the highway both sides between information display device to the tunnel portal, the surveillance center platform respectively with information display device and reputation warning device data interchange; the utility model discloses can carry out the risk control to the driving action, analysis and early warning for the rear side vehicle provides information, improve driving safety.

Description

Highway tunnel risk monitoring system based on people's car behavior analysis
Technical Field
The utility model relates to a highway tunnel risk monitoring system based on people's car behavioral analysis belongs to highway tunnel risk intelligent monitoring system technical field.
Background
The safety evaluation method is mainly adopted in the operation risk prevention and control of the current road tunnel, and the proposed method comprises an empirical method, a statistical method, a grey prediction theoretical evaluation method and the like; in recent years, based on comprehensive analysis of all factors influencing tunnel operation safety, fuzzy mathematics, a hierarchical comparison analysis method and a Delphi expert method are combined, and an evaluation model and an evaluation index system of tunnel operation safety risk are comprehensively evaluated, so that a feasible basis is provided for tunnel safety design and operation safety. Although a method for evaluating and analyzing the safety of the road tunnel is provided, the dangerous driving behavior of a driver in the road tunnel traffic operation is often the root cause of a major traffic accident, and the prior art rarely breaks through the dangerous driving behavior.
Namely: there is a need for a highway tunnel risk monitoring system, which can monitor, analyze and pre-warn risks for driving behaviors, provide information for rear vehicles, and improve driving safety.
SUMMERY OF THE UTILITY MODEL
In view of this, the utility model aims at providing a highway tunnel risk monitoring system based on people's car behavior analysis can be directed against the driving action, carry out risk monitoring, analysis and early warning, for the rear side vehicle provides information, improve driving safety; the defects of the prior art can be overcome.
The utility model aims at realizing through the following technical scheme:
the utility model discloses a highway tunnel risk monitoring system based on people's car behavioral analysis, it includes the mounting bracket that is equipped with before highway tunnel entry, both sides are equipped with microwave radar vehicle response equipment around the mounting bracket, are equipped with the camera that the high-speed snapshot driver's facial information and vehicle information used on the mounting bracket, are equipped with marginal calculation controller on the mounting bracket, data are handed over each other between microwave radar vehicle response equipment and the camera, between camera and the marginal calculation controller, marginal calculation controller passes through wireless transmission device and is connected with the surveillance center platform, is equipped with information display device in the mounting bracket incoming telegram direction, and highway both sides between information display device to tunnel portal are equipped with acousto-optic warning device, the surveillance center platform is handed over each other with information display device and acousto-optic warning device data respectively.
The mounting frame is positioned in front of the entrance of the road tunnel.
The monitoring center platform is provided with a tunnel operation risk level threshold value.
The number of the cameras is two, and the cameras face the vehicle coming direction and the vehicle leaving direction respectively.
Compared with the prior art, the beneficial effects of the utility model are that:
the utility model uses the camera to shoot the face information and the vehicle information of the driver at high speed, collects the behavior of the driver, and transmits the collected information of the head characteristic, the tail characteristic, the license plate, the safe driving behavior of the driver, the face fatigue characteristic and the like of the vehicle to the edge calculation controller, the edge calculation controller calculates the danger factor and the traffic jam factor of the current driving vehicle type in real time through the collected characteristic information of the vehicle and the driver, thereby calculating the current operation risk level of the highway tunnel, the edge calculation controller transmits the calculated operation risk level of the highway tunnel to the monitoring center platform in real time, when the risk level is too high, the monitoring center platform sends the early warning instruction to the information display device and the acousto-optic warning device, the information display device warns the dangerous driving vehicle in front of the coming vehicle behind to pay attention to the safe driving, and the acousto-optic warning device is used, utilize reputation early warning suggestion dangerous driving vehicle to avoid the traffic accident, improve operation safety, can carry out risk monitoring like this, analysis and early warning to the driving action, provide information for the rear side vehicle, improve driving safety.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and/or combinations particularly pointed out in the appended claims.
Drawings
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of the three-dimensional connection structure of the present invention.
Wherein, the highway tunnel entrance 1; a mounting frame 2; a microwave radar vehicle sensing device 3; a camera 4; an edge calculation controller 5; an information display device 7; and an acousto-optic warning device 8.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are for purposes of illustration only and are not intended to limit the scope of the present invention.
As shown in fig. 1, the utility model discloses a highway tunnel risk monitoring system based on human-vehicle behavior analysis, it includes highway tunnel entry 1, mounting bracket 2, microwave radar vehicle response equipment 3, camera 4, edge calculation controller 5, information display device 7 and reputation warning device 8, specifically, the mounting bracket 2 that is fixed to be equipped with 400 meters before highway tunnel entry 1, be equipped with microwave radar vehicle response equipment 3 in the front and back both sides of mounting bracket 2, microwave radar vehicle response equipment 3 is installed in the highway both sides through the support column, be fixed with camera 4 that the high-speed snapshot driver facial information and vehicle information used on mounting bracket 2, camera 4 quantity is two, respectively towards vehicle direction of coming and leaving direction; an edge calculation controller 5 is fixed on the upright post of the mounting frame 2, wherein data interaction is carried out between the microwave radar vehicle sensing equipment 3 and the camera 4 and between the camera 4 and the edge calculation controller 5, the edge calculation controller 5 is connected with a monitoring center platform through a wireless transmission device, and the monitoring center platform is provided with a tunnel operation risk level threshold; an information display device 7 is arranged in the direction of the vehicle coming from the mounting frame 2, sound and light warning devices 8 are arranged on two sides of a road between the information display device 7 and a tunnel portal, and the monitoring center platform is in data interaction with the information display device 7 and the sound and light warning devices 8 respectively.
When the microwave radar vehicle sensing device 3 detects that a vehicle runs to the position 50-100 meters in front of the three-dimensional image acquisition device, the front high-speed snapshot device camera 4 captures safe driving behaviors, facial fatigue characteristics, vehicle head characteristics and a front license plate of a driver quickly, when the vehicle passes through the mounting frame 2, the microwave radar vehicle sensing device 3 also detects that the vehicle runs to the position 50-100 meters behind the three-dimensional image acquisition device, the rear high-speed snapshot device camera 4 captures tail characteristics and a rear license plate of the vehicle quickly, and transmits the collected head characteristics, tail characteristics, license plate, safe driving behaviors of the driver, facial fatigue characteristics and other information of the vehicle to the edge calculation controller 5, and the edge calculation controller 5 calculates current driving risk factor, current driving risk factor and current vehicle type in real time according to the collected characteristic information of the vehicle and the driver, The road tunnel operation risk level is mainly divided into four levels, namely green, yellow, orange and red, the edge calculation controller 5 transmits the calculated road tunnel operation risk level to the monitoring center platform in real time, when the risk level reaches orange and above, the monitoring center platform issues an early warning instruction to the information display device 7, the information display device 7 displays early warning information to warn dangerous driving vehicles in front of the coming vehicle behind to pay attention to safe driving, and the acousto-optic warning device 8 prompts the dangerous driving vehicles by acousto-optic early warning, so that traffic accidents are avoided, and the operation safety is improved.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any form, which is confidential, and any simple modification, equivalent change and modification made by the technical entity of the present invention to the above embodiments do not depart from the technical solution of the present invention.

Claims (4)

1. The utility model provides a highway tunnel risk monitoring system based on people's car behavioral analysis, it includes mounting bracket (2) that are equipped with before highway tunnel entry (1), and both sides are equipped with microwave radar vehicle response equipment (3), its characterized in that around mounting bracket (2): be equipped with camera (4) that high-speed snapshot driver's facial information and vehicle information used on mounting bracket (2), be equipped with marginal calculation controller (5) on mounting bracket (2), data are intercrossed between microwave radar vehicle response equipment (3) and camera (4), between camera (4) and marginal calculation controller (5), marginal calculation controller (5) are connected with the surveillance center platform through wireless transmission device, are equipped with information display device (7) in mounting bracket (2) direction of coming a car, are equipped with reputation warning device (8) in information display device (7) highway both sides between to the tunnel portal, the surveillance center platform is intercrossed with information display device (7) and reputation warning device (8) data respectively.
2. The human-vehicle behavior analysis based highway tunnel risk monitoring system according to claim 1, wherein: the mounting frame (2) is located 400 meters in front of the road tunnel entrance (1).
3. The human-vehicle behavior analysis based highway tunnel risk monitoring system according to claim 1, wherein: the monitoring center platform is provided with a tunnel operation risk level threshold value.
4. The human-vehicle behavior analysis based highway tunnel risk monitoring system according to any one of claims 1-3, wherein: the number of the cameras (4) is two, and the cameras face the vehicle coming direction and the leaving direction respectively.
CN202220988065.1U 2022-04-24 2022-04-24 Highway tunnel risk monitoring system based on people's car behavior analysis Active CN217157480U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202220988065.1U CN217157480U (en) 2022-04-24 2022-04-24 Highway tunnel risk monitoring system based on people's car behavior analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202220988065.1U CN217157480U (en) 2022-04-24 2022-04-24 Highway tunnel risk monitoring system based on people's car behavior analysis

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CN217157480U true CN217157480U (en) 2022-08-09

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115331401A (en) * 2022-08-16 2022-11-11 贵州鹰驾交通科技有限公司 Intelligent analysis early warning system for running safety of vehicles in long-distance tunnel on highway

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115331401A (en) * 2022-08-16 2022-11-11 贵州鹰驾交通科技有限公司 Intelligent analysis early warning system for running safety of vehicles in long-distance tunnel on highway
CN115331401B (en) * 2022-08-16 2023-05-09 贵州鹰驾交通科技有限公司 Intelligent analysis and early warning system for driving safety of expressway long-distance tunnel vehicle

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