CN112614370A - Monitoring method for running safety of highway tunnel transport truck - Google Patents
Monitoring method for running safety of highway tunnel transport truck Download PDFInfo
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- CN112614370A CN112614370A CN202011487441.0A CN202011487441A CN112614370A CN 112614370 A CN112614370 A CN 112614370A CN 202011487441 A CN202011487441 A CN 202011487441A CN 112614370 A CN112614370 A CN 112614370A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 31
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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
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
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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
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
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- 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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Abstract
本发明公开了一种高速公路隧道运输货车行驶安全的监控方法，包括如下步骤：S1、信息采集，在车辆进入高速公路隧道时对运输货车的自身信息、驾驶员信息、行车环境，天气信息、行车路线信息以及隧道长度信息进行采集；S2、车距信息提醒；S3、车辆提醒；S4、行车时长预警，根据车辆的定位信息和驾驶员信息并结合行车时长进行疲劳驾驶预警；S5、上述运输车辆在疲劳驾驶预警30min后仍未根据导航行车，将驾驶员信息以及具体的车辆数据和路线传输至监控端。本发明能全方位监控运输货车的车辆信息，并且能监控驾驶员是否存在违规驾驶等信息，对运输货车行驶安全进行实时监控，并且一定程度上确保了运输货车行驶安全。
The present invention discloses a method for monitoring the driving safety of a transport truck in a highway tunnel, comprising the following steps: S1, information collection, when the vehicle enters the highway tunnel, the transport truck's own information, driver information, driving environment, weather information, driving route information and tunnel length information are collected; S2, vehicle distance information reminder; S3, vehicle reminder; S4, driving time warning, fatigue driving warning is performed according to the vehicle's positioning information and driver information and combined with the driving time; S5, if the above-mentioned transport vehicle still does not drive according to the navigation after the fatigue driving warning for 30 minutes, the driver information and specific vehicle data and route are transmitted to the monitoring end. The present invention can monitor the vehicle information of the transport truck in all directions, and can monitor whether the driver has illegal driving and other information, monitor the driving safety of the transport truck in real time, and ensure the driving safety of the transport truck to a certain extent.
Description
Technical Field
The invention belongs to the field of running safety of transport trucks, and particularly relates to a monitoring method for running safety of a tunnel transport truck on an expressway.
Background
The highway tunnel is a channel special for automobile transportation, along with the development of social economy and production, a great number of highways appear, higher standards are provided for the road construction technology, the requirement is that the line is straight, the slope is gentle, the road surface is spacious and the like, and therefore, when the road passes through a mountain area, the scheme of winding around the mountain in the past is mostly changed into the tunnel scheme. The construction of the tunnel plays an important role in the aspects of improving the technical state of the road, shortening the running distance, improving the transport capacity, reducing accidents and the like.
When a transport truck runs in an expressway tunnel, due to the special running environment of the tunnel, the running safety is particularly important, if an accident occurs, the rescue difficulty is very high, most of the existing technologies adopt a vehicle driving recorder to monitor the running safety of the vehicle, and the running safety of the transport truck in the expressway tunnel cannot be ensured.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a method for monitoring the running safety of a tunnel transport truck on a highway.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for monitoring the running safety of a transport truck in a highway tunnel comprises the following steps:
s1, collecting information, namely collecting self information, driver information, driving environment, weather information, driving route information and tunnel length information of the transport truck when the vehicle enters the highway tunnel;
s2, reminding by vehicle distance information, monitoring the vehicle distance between the transport truck and the vehicle in front in real time through distance measuring equipment when the vehicle exists in front in the tunnel driving environment of the transport truck, and reminding a driver of the transport truck by voice when the vehicle distance is smaller than the minimum vehicle distance on the expressway;
s3, vehicle reminding, namely estimating according to weather information and self information of a transport truck on the premise of ensuring the mounting distance between the transport truck and a front truck, judging whether the transport truck needs operations such as whistling, turning on and off a vehicle lamp and the like, and carrying out voice prompt on a driver;
s4, early warning of driving time, early warning of fatigue driving according to the positioning information and the driver information of the vehicle and the driving time, providing navigation of a nearest exit fork route of the expressway tunnel, and performing 30-min follow-up supervision on the positioning information and the driver information of the vehicle;
and S5, after the transport vehicle is early-warned for fatigue driving for 30min, the transport vehicle still does not drive according to navigation, driver information, specific vehicle data and routes are transmitted to a monitoring end, and meanwhile, the vehicle automatically turns on double flashing lamps to warn other vehicles in the tunnel.
Preferably, in step S1, a vehicle speed sensor and an ultrasonic detector are respectively used to collect information of the vehicle and a driving environment, the vehicle speed sensor is used to monitor the vehicle speed of the autonomous vehicle in real time, and the ultrasonic detector is used to detect obstacle information in a certain area of the autonomous vehicle and measure the distance between the transport truck and the preceding vehicle in real time.
Preferably, the ultrasonic detector calculates the actual distance from the transmitting point to the obstacle according to the time difference between the transmitting and receiving of the sound wave, and the formula of the distance measurement is as follows: l ═ cxt, where L is the measured distance length; c is the propagation speed of the ultrasonic wave in the air; t is the time difference of the measured range propagation, specifically half the value of the transmit-to-receive time.
Preferably, the driving route information and the tunnel length information in the step S1 are acquired based on a Beidou satellite, and a satellite transponder is installed on the transport truck, and the satellite transponder includes an attenuator, a power divider, a frequency conversion module, a filter and a coaxial switch.
Preferably, the attenuator is configured to input a satellite signal to be tested, perform attenuation processing on the satellite signal, and output the attenuated satellite signal; the power divider is used for inputting the attenuated satellite signals, performing power division processing on the attenuated satellite signals and outputting N paths of output signals, wherein N is a preset value larger than 1; the frequency conversion modules are respectively connected with the power divider, and each frequency conversion module is used for inputting one path of output signal output by the power divider, carrying out frequency conversion processing on the output signal and outputting a frequency-converted Beidou satellite signal; each filter is connected with one frequency conversion module and used for inputting the frequency-converted satellite signals, filtering the frequency-converted satellite signals and outputting filtered Beidou satellite signals; the coaxial switcher is connected with the plurality of filters and the switching control module and used for inputting the multi-path filtered Beidou satellite signals and selectively outputting one path of filtered Beidou satellite signals in the input multi-path filtered satellite signals
Preferably, the specific conditions for determining the whistle in step S3 are:
1) when the transportation truck is positioned in the tunnel, the positioning information shows that the vehicle is driving into a curve, approaches the top point of an uphill slope or passes through a road section such as a tunnel fork;
2) the ultrasonic detector and the environmental information acquisition module acquire that other vehicles or pedestrian obstacles in front of and behind the automatic driving vehicle enter a safe distance and the distance is decreasing;
when the transport truck encounters any one of the conditions 1 or 2, the transport truck is judged to whistle.
Preferably, the driving time early warning timing in step S4 is started from the vehicle, and the driver information is collected at the same time for recording, and then real-time monitoring is performed, the driving time is prompted after the vehicle continuously runs for 3.5 hours, and the driver information is collected again, when the vehicle continuously runs for more than 4 hours, the vehicle stops for rest or the rest time is less than 20min, the driver information, specific vehicle data and route are transmitted to the monitoring terminal, and the vehicle automatically turns on the dual-flash lamp to warn the rest of the vehicles in the tunnel.
Preferably, the weather environment in step S1 is to collect whether the weather of the truck is rainy or snowy weather, and remind the driver to determine whether the tunnel road surface is slippery, so as to ensure driving safety.
The invention has the technical effects and advantages that: compared with the traditional mode of ensuring the running safety of the transport truck by adopting a vehicle data recorder, the method for monitoring the running safety of the transport truck on the highway tunnel can monitor the vehicle information of the transport truck in all directions, can monitor whether a driver has illegal driving and other information, monitors the running safety of the transport truck in real time, and ensures the running safety of the transport truck to a certain extent.
Drawings
Fig. 1 is a flow chart of the method for monitoring the driving safety of the highway tunnel transport truck of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. 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.
The invention provides a method for monitoring the running safety of a highway tunnel transport truck as shown in figure 1, which is characterized by comprising the following steps:
s1, collecting information, namely collecting self information, driver information, driving environment, weather information, driving route information and tunnel length information of the transport truck when the vehicle enters the highway tunnel;
step S1, acquiring self information and driving environment by respectively adopting a vehicle speed sensor and an ultrasonic detector, wherein the vehicle speed sensor is used for monitoring the vehicle speed of the automatic driving vehicle in real time, and the ultrasonic detector is used for detecting obstacle information in a certain area range of the automatic driving vehicle and measuring the vehicle distance between a transport truck and a front vehicle in real time;
s2, reminding by vehicle distance information, monitoring the vehicle distance between the transport truck and the vehicle in front in real time through distance measuring equipment when the vehicle exists in front in the tunnel driving environment of the transport truck, and reminding a driver of the transport truck by voice when the vehicle distance is smaller than the minimum vehicle distance on the expressway;
the ultrasonic detector calculates the actual distance from the transmitting point to the obstacle according to the time difference between the transmitting time and the receiving time of the sound wave, and the formula of the distance measurement is as follows: l ═ cxt, where L is the measured distance length; c is the propagation speed of the ultrasonic wave in the air; t is the time difference of distance propagation measurement, specifically half of the time value from transmitting to receiving, and when the ultrasonic detector detects that the distance between the front vehicle and the transport truck is smaller than the minimum distance between the front vehicle and the transport truck on the highway, the driver of the transport vehicle is reminded by voice;
s3, vehicle reminding, namely estimating according to weather information and self information of a transport truck on the premise of ensuring the mounting distance between the transport truck and a front truck, judging whether the transport truck needs operations such as whistling, turning on and off a vehicle lamp and the like, and carrying out voice prompt on a driver;
s4, early warning of driving time, early warning of fatigue driving according to the positioning information and the driver information of the vehicle and the driving time, providing navigation of a nearest exit fork route of the expressway tunnel, and performing 30-min follow-up supervision on the positioning information and the driver information of the vehicle;
the driving time early warning timing in the step S4 is started from a vehicle as a starting point, driver information is collected at the same time for recording, then real-time monitoring is carried out, driving time reminding is carried out after the vehicle continuously runs for 3.5 hours, the driver information is collected again, when the vehicle continuously runs for more than 4 hours and is a parking rest or the parking rest is less than 20min, the driver information, specific vehicle data and a route are transmitted to a monitoring end, and meanwhile, the vehicle automatically turns on double flashing lamps to warn other vehicles in a tunnel;
and S5, after the transport vehicle is early-warned for fatigue driving for 30min, the transport vehicle still does not drive according to navigation, driver information, specific vehicle data and routes are transmitted to a monitoring end, and meanwhile, the vehicle automatically turns on double flashing lamps to warn other vehicles in the tunnel.
The driving route information and the tunnel length information in the step S1 are acquired based on a Beidou satellite, and a transport wagon is provided with a satellite transponder, wherein the satellite transponder comprises an attenuator, a power divider, a frequency conversion module, a filter and a coaxial switch; the attenuator is used for inputting a satellite signal to be tested, performing attenuation processing on the satellite signal and outputting the attenuated satellite signal; the power divider is used for inputting the attenuated satellite signals, performing power division processing on the attenuated satellite signals and outputting N paths of output signals, wherein N is a preset value larger than 1; the frequency conversion modules are respectively connected with the power divider, and each frequency conversion module is used for inputting one path of output signal output by the power divider, carrying out frequency conversion processing on the output signal and outputting a frequency-converted Beidou satellite signal; each filter is connected with one frequency conversion module and used for inputting the frequency-converted satellite signals, filtering the frequency-converted satellite signals and outputting filtered Beidou satellite signals; the coaxial switcher is connected with the filters and the switching control module and is used for inputting multi-path filtered Beidou satellite signals and selecting and outputting one path of filtered Beidou satellite signals from the input multi-path filtered satellite signals;
the specific conditions for determining the whistle in step S3 are as follows:
1) when the transportation truck is positioned in the tunnel, the positioning information shows that the vehicle is driving into a curve, approaches the top point of an uphill slope or passes through a road section such as a tunnel fork;
2) the ultrasonic detector and the environmental information acquisition module acquire that other vehicles or pedestrian obstacles in front of and behind the automatic driving vehicle enter a safe distance and the distance is decreasing;
when the transport truck meets any one of the conditions 1 or 2, judging that the transport truck whistles;
the weather environment in step S1 is to collect whether the weather of the truck is rainy or snowy weather, and remind the driver to determine whether the tunnel road is slippery, so as to ensure driving safety.
In summary, the following steps: compared with the traditional mode of ensuring the running safety of the transport truck by adopting a vehicle data recorder, the method for monitoring the running safety of the transport truck on the highway tunnel can monitor the vehicle information of the transport truck in all directions, can monitor whether a driver has illegal driving and other information, monitors the running safety of the transport truck in real time, and ensures the running safety of the transport truck to a certain extent.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
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| CN202011487441.0A CN112614370A (en) | 2020-12-16 | 2020-12-16 | Monitoring method for running safety of highway tunnel transport truck |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113362650A (en) * | 2021-07-09 | 2021-09-07 | 广东飞达交通工程有限公司 | Method for monitoring position of key operation vehicle in real time in tunnel |
| CN114255429A (en) * | 2021-12-22 | 2022-03-29 | 无锡华澄线缆有限公司 | Road cargo transportation monitoring system |
| CN114325725A (en) * | 2021-11-19 | 2022-04-12 | 桂林电子科技大学 | Method and system for assisting safe transportation of large goods based on ultrasonic radar detector array |
| CN114842613A (en) * | 2022-04-01 | 2022-08-02 | 吉林云帆智能工程有限公司 | Active prompting algorithm for safe running of railway vehicle |
| CN115320631A (en) * | 2022-07-05 | 2022-11-11 | 西安航空学院 | Method for identifying driving intention of front vehicle in adjacent lane of intelligent driving vehicle |
| CN116180632A (en) * | 2023-02-21 | 2023-05-30 | 新疆建筑科学研究院（有限责任公司） | A method for setting the fatigue wake-up section of an expressway extra-long tunnel |
| CN117864133A (en) * | 2023-03-17 | 2024-04-12 | 成都鑫动源乐信息技术有限公司 | Safety control system based on big data |
| CN116180632B (en) * | 2023-02-21 | 2025-07-01 | 新疆建筑科学研究院（有限责任公司） | A method for setting fatigue awakening section in extra-long tunnel of expressway |
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| CN113362650A (en) * | 2021-07-09 | 2021-09-07 | 广东飞达交通工程有限公司 | Method for monitoring position of key operation vehicle in real time in tunnel |
| CN114325725A (en) * | 2021-11-19 | 2022-04-12 | 桂林电子科技大学 | Method and system for assisting safe transportation of large goods based on ultrasonic radar detector array |
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| CN116180632B (en) * | 2023-02-21 | 2025-07-01 | 新疆建筑科学研究院（有限责任公司） | A method for setting fatigue awakening section in extra-long tunnel of expressway |
| CN117864133A (en) * | 2023-03-17 | 2024-04-12 | 成都鑫动源乐信息技术有限公司 | Safety control system based on big data |
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Application publication date: 20210406 |