CN110807911A - Internet of things perception traffic warning system and method - Google Patents
Internet of things perception traffic warning system and method Download PDFInfo
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- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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Abstract
The invention provides an Internet of things perception traffic warning system and method, wherein the system comprises a vehicle management and control pile and a pedestrian management and control pile, wherein the vehicle management and control pile comprises a first switch, a processing unit, a first display module, a router, a first camera, a first network bridge, an Internet of things module, a radar module, a visibility meter and a illuminance sensor; the pedestrian management and control pile comprises a second switch, a serial server, a second display module, a second camera, a second network bridge, an infrared microwave double-monitoring detection module and a voice module; the method comprises a man-vehicle bidirectional warning method, a voice prompting volume adjusting method, a weather adjusting display brightness method, a traffic control method and a navigation software linkage prompting method. The invention can sense vehicles on the main road of the national province and the rural roads and pedestrians or non-motor vehicles and carry out bidirectional early warning prompt of the vehicles, has the function of meteorological detection, can reduce the occurrence of traffic accidents at the small level crossing of the national province and the rural roads, and is convenient for traffic control and big data collection.
Description
Technical Field
The invention relates to the technical field of traffic warning and control systems, in particular to an internet of things perception traffic warning system and method.
Background
At present, the serious disaster area of traffic accidents is the intersection of a main road of a national province and a gateway of a country road, according to survey data, 33.83% of the traffic accidents in China occur at intersections without traffic control, and the death number of the traffic accidents accounts for 32.49% of the death number of the traffic accidents all the year round. Because the intersection of the national provincial road main road and the rural road exit is lack of a traffic control device, the vehicles coming from the main road and pedestrians or non-motor vehicles on the rural road cannot be sensed and early warned, so that traffic accidents are easily caused. Therefore, there is an urgent need for a traffic warning system that can sense vehicles and pedestrians and warn both of them in time.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides an Internet of things perception traffic warning system and method, which can perform bidirectional early warning on vehicles on a main road and pedestrians on rural roads and reduce traffic accidents.
In order to achieve the purpose, the invention adopts the following technical scheme:
thing allies oneself with perception traffic warning system, including vehicle management and control stake and pedestrian management and control stake, the vehicle management and control stake include first switch, processing unit, first display module, router, first camera, first bridge and thing networking module, processing unit, first display module, router, first camera, first bridge, thing networking module respectively with first switch interactive connection, processing unit is connected with the radar module, the radar module is used for detecting speed and the vehicle of vehicle on the national province's road trunk and the distance of intersection and conveys processing unit, processing unit passes through first switch with first bridge interactive connection.
The pedestrian management and control pile comprises a second switch, a serial server, a second display module, a second camera and a second network bridge, wherein the serial server, the second display module, the second camera and the second network bridge are respectively in interactive connection with the second switch, the serial server is connected with an infrared microwave double-monitoring detection module and a voice module, the infrared microwave double-monitoring detection module is used for detecting pedestrians or non-motor vehicles on rural roads, and the voice module is used for carrying out voice broadcasting prompt; and the serial port server is in interactive connection with the second network bridge through the second switch.
And wireless data transmission is carried out between the vehicle management and control pile and the pedestrian management and control pile through the first network bridge and the second network bridge.
Preferably, the vehicle management and control pile further comprises a visibility meter and a illuminance sensor, the visibility meter and the illuminance sensor are connected with the processing unit, the visibility meter is used for acquiring environmental visibility and transmitting the environmental visibility to the processing unit, and the illuminance sensor is used for acquiring environmental illuminance and transmitting the environmental illuminance to the processing unit.
Preferably, the internet of things perception traffic warning system further comprises a traffic control center, and the vehicle control stake and the pedestrian control stake are in wireless data communication with the traffic control center through the router and the internet of things module.
Preferably, the internet of things perception traffic warning system further comprises a mobile phone terminal, navigation software is installed on the mobile phone terminal, the navigation software receives information transmission of the vehicle control pile and the pedestrian control pile, and real-time road conditions are displayed on the mobile phone terminals of vehicle drivers and pedestrians.
Preferably, the first display module and the second display module are both LED display screens.
According to another aspect of the invention, the invention provides an internet of things perception traffic warning method, which comprises a man-vehicle bidirectional warning method; the man-vehicle bidirectional warning method comprises the following steps: the system comprises a radar module of a vehicle management and control pile, a processing unit, a first switch, a second switch, a first display module, a second display module and a voice module, wherein the radar module of the vehicle management and control pile detects the vehicle condition of a main road sensing area and transmits the vehicle condition to the processing unit in real time, an infrared microwave double-monitoring detection module of the pedestrian management and control pile detects the condition of pedestrians or non-motor vehicles in a rural road sensing area and transmits the pedestrian or non-motor vehicles to the processing unit in real time, the vehicle management and control pile and the pedestrian management and control pile realize data intercommunication through the first switch, the first network bridge, the second; when vehicles are monitored to be in a main road sensing area and pedestrians or non-motor vehicles are monitored to be in a rural road sensing area, the first display module displays characters of pedestrian crossing and human-shaped animations, the second display module displays characters of left-side coming vehicles and vehicle animations, and the voice module plays left-side coming vehicles and attention avoiding voices; when it is monitored that no vehicle exists in the main road sensing area and a pedestrian or a non-motor vehicle exists in the country road sensing area, the second display module displays the character of 'observing attention', and the voice module plays the voice of 'entering the intersection and observing attention'; when it is monitored that vehicles exist in the main road sensing area but no pedestrians or non-vehicles exist in the rural road sensing area, the first display module displays the characters of 'watching attention'.
Preferably, the internet of things perception traffic warning method further comprises a voice prompt volume adjusting method: when vehicles are monitored to exist in a main road sensing area and pedestrians or non-motor vehicles exist in a country road sensing area, the radar module transmits the detected vehicle speed and the distance between the vehicles and the intersection to the processing unit in real time, the processing unit calculates a danger coefficient according to the vehicle speed and the distance between the vehicles and the intersection, and the larger the danger coefficient is, the larger the broadcast prompting volume of the voice module is controlled to be.
Preferably, the internet of things perception traffic warning method further comprises a weather adjusting display brightness method: the visibility meter obtains environmental visibility and transmits the environmental visibility to the processing unit, the illuminance sensor obtains environmental illuminance and transmits the environmental illuminance to the processing unit, the processing unit calculates the brightness grade, and adjusts the display brightness of the first display module and the display brightness of the second display module according to the calculation result.
Preferably, the internet of things perception traffic warning method further comprises a traffic control method: the method comprises the following steps that a first camera collects a real-time video on a main road and transmits the real-time video to a traffic control center through a router, a second camera collects a real-time video on a country road and transmits the real-time video to the traffic control center through the router, the traffic control center carries out statistics, analysis and comparison on traffic flow, vehicle speed and human flow, a road section squad, a district squad and a city squad receive information of the traffic control center, and the road section squad masters field road traffic conditions in real time and serves as a reference basis for service arrangement such as patrol inspection; the district team masters the macroscopic condition in the district and guides the middle team in the road section to work; the city teams grasp the safety situation of the rural highways in the whole city, clear up the important safety areas and the important time periods, make management measures and supervise the work.
Preferably, the internet of things perception traffic warning method further comprises a navigation software linkage reminding method: navigation software is installed on mobile phone terminals of a vehicle driver and a pedestrian, information transmission is carried out between the mobile phone terminals and the vehicle control piles and the pedestrian control piles through the navigation software, and when the infrared microwave dual-monitoring detection module detects that pedestrians or non-vehicles exist in a country road sensing area, the mobile phone terminals of the vehicle driver carry out voice broadcast to remind the vehicle driver of paying attention to the pedestrians; when the radar module detects that vehicles exist in the main road sensing area, the mobile phone terminal of the pedestrian or the non-motor vehicle driver carries out voice broadcast to remind the pedestrian or the non-motor vehicle driver of paying attention to the coming vehicles in the main road.
Compared with the prior art, the invention has the beneficial effects that:
(1) the system can sense vehicles on the national and provincial road main road and pedestrians or non-motor vehicles on the country road and carry out bidirectional early warning prompt on the pedestrians and the vehicles, so that traffic accidents are reduced;
(2) when vehicles are monitored to be on a main road and pedestrians or non-motor vehicles are monitored to be on a rural road, the radar module detects the speed of the vehicles and the distance between the vehicles and the intersection, the processing unit calculates a danger coefficient according to the speed of the vehicles and the distance between the vehicles and the intersection, the larger the danger coefficient is, the larger the broadcasting and prompting volume of the voice module is controlled to be, the pedestrians or the non-motor vehicles can be warned, and accidents are reduced;
(3) the visibility meter and the illuminance sensor are arranged to collect environmental meteorological data, the display brightness of the first display module and the second display module can be adjusted in time according to environmental changes, the warning effect is better, and the applicability is strong;
(4) the first camera and the second camera can collect real-time road videos, so that the traffic management department can conveniently call the videos for review; the router and the Internet of things module are configured, so that traffic data can be sent to the traffic center platform, and traffic control and big data acquisition management are performed;
(5) the system can be linked with a mobile phone terminal of a vehicle driver and a mobile phone terminal of a pedestrian or non-motor vehicle driver for navigation software reminding, and can give early warning to road conditions to realize vehicle-road cooperation.
Drawings
Fig. 1 is a system configuration diagram of an internet of things perception traffic warning system according to embodiment 1 of the present invention;
fig. 2 is an external view of an internet of things perception traffic warning system according to embodiment 1 of the present invention;
fig. 3 is an application diagram of the internet of things perception traffic warning system of embodiment 1 of the present invention;
fig. 4 is a flowchart of a human-vehicle bidirectional warning method in the internet of things perception traffic warning method of embodiment 1 of the present invention;
fig. 5 is a flowchart of a voice prompt volume adjustment method in the internet of things perception traffic warning method according to embodiment 1 of the present invention;
fig. 6 is a flowchart of a weather adjustment display brightness method in the internet of things perception traffic warning method according to embodiment 1 of the present invention;
fig. 7 is a structural diagram of a traffic control method in the internet of things perception traffic warning method according to embodiment 1 of the present invention.
Wherein, 100-vehicle management and control peg, 101-first switch, 102-processing unit, 103-first display module, 104-router, 105-first camera, 106-first bridge, 107-internet of things module, 108-radar module, 109-visibility meter, 110-first base, 120-first main body, 130-first equipment box, 131-illuminance sensor, 200-pedestrian management and control peg, 201-second switch, 202-serial server, 203-second display module, 204-second camera, 205-second bridge, 206-infrared microwave double-monitoring detection module, 207-voice module, 210-second base, 220-second main body, 230-second equipment box, 300-traffic management and control center, 400-mobile phone terminal, 500-vehicle, 600-pedestrian or non-motor vehicle.
Detailed Description
In order to further understand the objects, structures, features and functions of the present invention, the following embodiments are described in detail.
Referring to fig. 1 to 3 in combination, fig. 1 is a system structure diagram of an internet of things perception traffic warning system according to embodiment 1 of the present invention; fig. 2 is an external view of an internet of things perception traffic warning system according to embodiment 1 of the present invention; fig. 3 is an application diagram of the internet of things perception traffic warning system in embodiment 1 of the present invention.
The internet of things perception traffic warning system of the embodiment 1 of the invention comprises a vehicle control pile 100 and a pedestrian control pile 200, wherein the vehicle control pile 100 is arranged in the direction of the national provincial main road from the intersection 300 and 500 meters, and is used for perceiving motor vehicles of the national provincial main road and warning the motor vehicles; the pedestrian management and control pile 200 is arranged at the intersection and used for sensing pedestrians or non-motor vehicles and warning the pedestrians or the non-motor vehicles; referring to fig. 1, the vehicle management and control stub 100 includes a first switch 101, a processing unit 102, a first display module 103, a router 104, a first camera 105, a first network bridge 106, and an internet of things module 107, wherein the processing unit 102, the first display module 103, the router 104, the first camera 105, the first network bridge 106, and the internet of things module 107 are respectively interactively connected to the first switch 101, the processing unit 102 is connected to a radar module 108, the radar module 108 is configured to detect a speed of a vehicle on a main road of the national provincial road and a distance between the vehicle and an intersection and transmit the detected speed to the processing unit 102, and the processing unit 102 is interactively connected to the first network bridge 106 through the first switch 101. The processing unit 102 is configured to receive data acquired by the radar module 108 and perform data processing, and is further configured to control the first display module 103 to display warning texts, and the first camera 105 is configured to acquire a road video in real time. The router 104 in the invention adopts a 4G full-network dual-port router, supports wireless WiFi transmission, and has high transmission speed and high working efficiency.
The pedestrian control pile 200 comprises a second switch 201, a serial server 202, a second display module 203, a second camera 204 and a second network bridge 205, wherein the serial server 202, the second display module 203, the second camera 204 and the second network bridge 205 are respectively in interactive connection with the second switch 201, the serial server 202 is connected with an infrared microwave double-monitoring detection module 206 and a voice module 207, the infrared microwave double-monitoring detection module 206 is used for detecting pedestrians or non-motor vehicles on rural roads, and the voice module 207 is used for carrying out voice broadcasting prompt; serial server 202 is interactively connected to second bridge 205 through second switch 201.
The vehicle management and control pile 100 and the pedestrian management and control pile 200 are in wireless data transmission through the first network bridge 106 and the second network bridge 205.
In the Internet of Things perception traffic warning system of the preferred embodiment of the invention, the Internet of Things module 107 adopts NB-Iot technology (narrowband Internet of Things, which is an important branch of the Internet of everything), NB-IoT is constructed in a cellular network, only consumes about 180kHz bandwidth, and can be directly deployed in a GSM network, a UMTS network or an LTE network to reduce deployment cost and realize smooth upgrade, NB-IoT is an emerging technology in the IoT field, supports cellular data connection of low-power-consumption equipment in a wide area network, and is also called a low-power-consumption wide area network (LPWAN), NB-IoT supports efficient connection of equipment with long standby time and higher requirement on network connection, and is said that NB-IoT equipment battery life can be prolonged by at least 10 years, and can also provide very comprehensive indoor cellular data connection coverage at the same time), supports equipment outage report, the transmission speed is fast, and the work efficiency is high.
Referring to fig. 2, the stub 100 includes a first base 110, a first body 120 and a first equipment box 130, the first body 120 is disposed above the first base 110, and a power supply is disposed inside the first base 110 for supplying power to the stub 100; the first display module 103 is arranged on the side surface of the first main body 120, the first display module 103 corresponds to the incoming direction, the first equipment box 130 is arranged above the first main body 120, the first switch 101, the processing unit 102, the first display module 103, the router 104, the first network bridge 106, the internet of things module 107 and the radar module 108 are arranged in the first equipment box 130, and the first camera 105 is arranged on the outer side of the first equipment box 130; the pedestrian management and control pile 200 comprises a second base 210, a second main body 220 and a second equipment box 230, wherein a power supply is arranged in the second base 210 and used for supplying power to the pedestrian management and control pile 200; the second main body 220 is arranged above the second base 210, the second display module 203 is arranged on the side surface of the second main body 220, and the second display module 203 corresponds to the coming direction of the country road; the second device box 230 is disposed above the second main body 220, the second switch 201, the serial server 202, the second bridge 205, the infrared-microwave dual-monitoring module 206, and the voice module 207 are disposed inside the second device box 230, and the second camera 204 is disposed outside the second device box 230.
Preferably, the vehicle management and control pile 100 further includes a visibility meter 109 and a illuminance sensor 131, the visibility meter 109 and the illuminance sensor 131 are connected to the processing unit 102, the visibility meter 109 and the illuminance sensor 131 are disposed outside the first device box 130, the visibility meter 109 is configured to acquire environmental visibility and transmit the environmental visibility to the processing unit 102, the illuminance sensor 131 is configured to acquire environmental illuminance and transmit the environmental illuminance to the processing unit 102, and the processing unit 102 may automatically adjust the display brightness of the first display module 103 and the second display module 203 according to the environmental visibility and the illuminance, which is highly applicable.
Preferably, the internet of things perception traffic warning system further includes a traffic control center 300, and the vehicle control peg 100 and the pedestrian control peg 200 are in wireless data communication with the traffic control center 300 through the router 104 and the internet of things module 107. The vehicle management and control pile 100 collects data such as vehicle speed and vehicle flow, the pedestrian management and control pile 200 collects data such as pedestrian flow, the collected data are collected to the traffic management and control center 300, and vehicle management and control and big data collection processing are conveniently carried out.
Preferably, the internet of things perception traffic warning system further includes a mobile phone terminal 400, and navigation software is installed on the mobile phone terminal 400, receives information transmission of the vehicle control peg 100 and the pedestrian control peg 200, and displays real-time road conditions on the mobile phone terminals 400 of the vehicle driver and the pedestrian. The navigation software on the mobile phone terminal 400 can realize real-time information synchronization with the vehicle management and control pile 100 and the pedestrian management and control pile 200, and when pedestrians or non-motor vehicles are monitored on the country road, the navigation software reminds a driver of the vehicle that pedestrians exist at the intersection in front of the driver, so that the driver can be ensured to concentrate on attention; when the situation that vehicles exist in the main road of the national province road is monitored, the navigation software reminds pedestrians or non-motor vehicle drivers of paying attention to the left coming vehicles in front in real time, and the occurrence of traffic accidents is reduced.
Preferably, the first display module 103 and the second display module 203 are both LED display screens, and can display text and animation, for example, the first display module 103 can display text of "pedestrian crossing" and human-shaped animation, and the second display module 203 can display text of "left-side coming car" and vehicle animation.
Referring to fig. 3, in application, the vehicle management and control stake 100 is installed in the direction L from the intersection of the main road of the national provincial road, where L is 300 and 500m, and the detection range corresponds to the main road sensing area a; the pedestrian management and control pile 200 is arranged at a corresponding intersection on a country road, and the detection range of the pedestrian management and control pile corresponds to a country road sensing area B; the vehicle management and control stake 100 detects vehicles 500 in a main road perception area A, the pedestrian management and control stake 200 detects pedestrians or non-motor vehicles 600 in a rural road perception area B, when the main road has the vehicles 500 and the rural road has the pedestrians or non-motor vehicles 600, the vehicle management and control stake 100 warns the vehicles to pay attention to the pedestrians or the non-motor vehicles, and the pedestrian management and control stake 200 warns the pedestrians or the non-motor vehicles 600 to pay attention to left-side coming vehicles.
According to the other side of the invention, an internet of things perception traffic warning method is provided; please refer to fig. 4 to 7 in combination, fig. 4 is a flowchart of a pedestrian-vehicle bidirectional warning method in the internet of things perception traffic warning method according to embodiment 1 of the present invention; fig. 5 is a flowchart of a voice prompt volume adjustment method in the internet of things perception traffic warning method according to embodiment 1 of the present invention; fig. 6 is a flowchart of a weather adjustment display brightness method in the internet of things perception traffic warning method according to embodiment 1 of the present invention; fig. 7 is a structural diagram of a traffic control method in the internet of things perception traffic warning method according to embodiment 1 of the present invention.
The Internet of things perception traffic warning method of the embodiment 1 of the invention comprises a man-vehicle bidirectional warning method; the man-vehicle bidirectional warning method comprises the following steps: the radar module 108 of the vehicle management and control pile 100 detects the vehicle condition in the main road perception area A and transmits the vehicle condition to the processing unit 102 in real time, the infrared microwave dual-monitoring detection module 206 of the pedestrian management and control pile 200 detects the condition of pedestrians or non-motor vehicles in the rural road perception area B and transmits the condition to the processing unit 102 in real time, the vehicle management and control pile 100 and the pedestrian management and control pile 200 realize data intercommunication through the first switch 101, the first network bridge 106, the second network bridge 205 and the second switch 201, the processing unit 102 controls the first display module 103 and the second display module 203 to display, and the voice module 207 is controlled to perform voice prompt; when it is monitored that vehicles exist in a main road sensing area A and pedestrians or non-motor vehicles exist in a rural road sensing area B, the first display module 103 displays characters and human-shaped animations of 'pedestrian crossing', the second display module 203 displays characters and vehicle animations of 'left-side coming vehicle', and the voice module 207 plays 'left-side coming vehicle and attention avoiding' voice; when it is monitored that no vehicle exists in the main road sensing area A and a pedestrian or a non-motor vehicle exists in the country road sensing area B, the second display module 203 displays the character of 'attention to observation', and the voice module 207 plays 'entering the intersection and attention to observation' voice; when it is monitored that there is a vehicle in the main road sensing area a but there is no pedestrian or non-motor vehicle in the rural road sensing area B, the first display module 103 displays the "attention-to-observe" text. The Internet of things perception traffic warning method can perceive vehicles on the national and provincial road main road and pedestrians or non-motor vehicles on the rural road and carry out bidirectional early warning and prompting on the pedestrians and the vehicles, and reduces the occurrence of traffic accidents.
Preferably, referring to fig. 5, the internet of things perception traffic warning method further includes a voice prompt volume adjustment method: when it is monitored that vehicles exist in the main road sensing area A and pedestrians or non-motor vehicles exist in the rural road sensing area B, the radar module 108 transmits the detected vehicle speed and the distance between the vehicles and the intersection to the processing unit 102 in real time, the processing unit 102 calculates a danger coefficient according to the vehicle speed and the distance between the vehicles and the intersection, and the larger the danger coefficient is, the larger the broadcasting prompting volume of the voice module 207 is controlled to be. In one embodiment, the risk factor is 0-1, with a higher value indicating a higher risk factor; the prompting volume of the voice module 207 has three levels of 1, 2 and 3, and the higher the level is, the larger the volume is; in another embodiment, the prompt speech rate of the speech module 207 can be adjusted according to a risk factor, wherein the risk factor is 0-1, and a larger value indicates a higher risk factor; the prompting volume of the voice module 207 has three levels of 1, 2 and 3, and the higher the level is, the larger the volume is; the speed of speech of the voice module 207 is prompted by three levels, i.e., 1, 2, and 3, and the higher the level is, the faster the speed of speech is. When the risk coefficient calculated by the processing unit 102 is between 0 and 0.3, the prompting volume of the voice module 207 is level 1, and the prompting speech rate is level 1; when the risk coefficient calculated by the processing unit 102 is between 0.3 and 07, the prompting volume of the voice module 207 is level 2, and the prompting speech rate is level 2; when the risk factor calculated by the processing unit 102 is between 0.7 and 1, the prompt volume of the voice module 207 is 3 levels, and the prompt speech rate is 3 levels.
Preferably, referring to fig. 6, the internet of things perception traffic warning method further includes a weather adjustment display brightness method: the visibility meter 109 acquires the environmental visibility and transmits the environmental visibility to the processing unit 102, the illuminance sensor 131 acquires the environmental illuminance and transmits the environmental illuminance to the processing unit 102, the processing unit 102 calculates the brightness level according to the environmental visibility and the illuminance, and adjusts the display brightness of the first display module 103 and the display brightness of the second display module 203 according to the calculation result. In one embodiment, the environmental visibility is classified into five levels, wherein 0-50 m is 1 level, 50-150 m is 2 level, 150-300 m is 3 level, 300-500m is 4 level, more than 500m is 5 level, the higher the level is, the lower the visibility is; the illuminance is classified according to an illuminance unit lx (the illuminance is 1 lux, the illuminance of which the luminous flux of 1 lumen is uniformly distributed on a 1 square meter area is classified according to an illuminance standard value, the minimum change of the illuminance is obviously sensed in a subjective effect), 0.5-10lx is 1 grade, 10-100lx is 2 grade, 100-750lx is 3 grade, 750-2000lx is 4 grade, 2000-5000lx is 5 grade, and more than 5000lx is 6 grade), the brightness grades of the first display module 103 and the second display module 203 are calculated according to the weighted average of the visibility grade and the illuminance grade, and the higher the brightness grade is, the higher the display brightness of the first display module 103 and the second display module 203 is.
Preferably, referring to fig. 7, the internet of things perception traffic warning method further includes a traffic control method: the first camera 105 collects real-time videos on a main road and transmits the videos to the traffic control center 300 through the router 104, and the second camera 204 collects real-time videos on rural roads and transmits the videos to the traffic control center 300 through the router 104, so that the traffic control center 300 can conveniently call the videos for review; the traffic control center 300 counts, analyzes and compares the traffic flow, the vehicle speed and the human flow, a road middle team, a district big team and a city branch team receive the information of the traffic control center 300, and the road middle team masters the field road traffic condition in real time as a reference basis for the service arrangement of patrol inspection and the like; the district team masters the macroscopic condition in the district and guides the middle team in the road section to work; the city teams grasp the safety situation of the rural highways in the whole city, clear up the important safety areas and the important time periods, make management measures and supervise the work. The invention can facilitate the traffic data analysis and study of the traffic control center 300, is beneficial to assisting the traffic police department to carry out three-level control (team, branch team and head team) or multi-level control (county, district and city level management), and especially utilizes big data to master the rural road safety situation in the provincial region range, thereby laying a foundation for management decision.
Preferably, the internet of things perception traffic warning method further comprises a navigation software linkage reminding method: navigation software is installed on mobile phone terminals 400 of a vehicle driver and a pedestrian, information transmission is carried out between the mobile phone terminals 400 and the vehicle management and control pile 100 and the pedestrian management and control pile 200 through the navigation software, and when the infrared microwave dual-monitoring detection module 206 detects that the pedestrian or the non-motor vehicle 600 exists in the country road sensing area B, the mobile phone terminals 400 of the vehicle driver carry out voice broadcast to remind the vehicle driver of paying attention to the pedestrian; when the radar module 108 detects that the vehicle 500 exists in the main road sensing area a, the mobile phone terminal 400 of the pedestrian or the non-motor vehicle driver performs voice broadcast to remind the pedestrian or the non-motor vehicle driver of paying attention to the coming vehicle in the main road. Therefore, the vehicle-road cooperative function can be realized, and the intellectualization of traffic control is further enhanced.
The Internet of things perception traffic warning system and the method are applied to the junction of the main road of the province road and the country road of a certain country, and the data statistics shows that the traffic accident occurrence amount is obviously lower than that before the application after the application of the Internet of things perception traffic warning system and the method.
In conclusion, the invention provides the Internet of things perception traffic warning system and the Internet of things perception traffic warning method, which can perceive vehicles on the main road of the national province and pedestrians or non-motor vehicles on the roads of the country and carry out the human-vehicle bidirectional early warning prompt, thereby reducing the occurrence of traffic accidents; when vehicles are monitored to be on the main road and pedestrians or non-motor vehicles are monitored to be on the rural road, the radar module 108 detects the speed of the vehicles and the distance between the vehicles and the intersection, the processing unit 102 calculates a danger coefficient according to the speed of the vehicles and the distance between the vehicles and the intersection, the larger the danger coefficient is, the larger the broadcast prompting volume of the voice module is controlled to be, the pedestrians or the non-motor vehicles can be warned, and accidents are reduced; the visibility meter 109 and the illuminance sensor 131 are arranged to collect environmental meteorological data, the display brightness of the first display module 103 and the display brightness of the second display module 203 can be adjusted in time according to environmental changes, the warning effect is better, and the applicability is strong; the first camera 105 and the second camera 204 can collect real-time road videos, so that the traffic management department can conveniently call the videos for review; the 4G router and the Internet of things module 107 are configured, so that traffic data can be sent to a traffic control center 300 platform for traffic control and big data acquisition management; the system can be linked with a mobile phone terminal of a vehicle driver and a mobile phone terminal of a pedestrian or non-motor vehicle driver for navigation software reminding, and can give early warning to road conditions to realize vehicle-road cooperation.
The present invention has been described in relation to the above embodiments, which are only exemplary of the implementation of the present invention. It should be noted that the disclosed embodiments do not limit the scope of the invention. Rather, it is intended that all such modifications and variations be included within the spirit and scope of this invention.
Claims (10)
1. Thing allies oneself with perception traffic warning system, its characterized in that: the system comprises a vehicle control pile and a pedestrian control pile, wherein the vehicle control pile comprises a first switch, a processing unit, a first display module, a router, a first camera, a first network bridge and an Internet of things module, the processing unit, the first display module, the router, the first camera, the first network bridge and the Internet of things module are respectively in interactive connection with the first switch, the processing unit is connected with a radar module, the radar module is used for detecting the speed of vehicles on a main road of the national province and the distance between the vehicles and a junction intersection and transmitting the speed to the processing unit, and the processing unit is in interactive connection with the first network bridge through the first switch;
the pedestrian management and control pile comprises a second switch, a serial server, a second display module, a second camera and a second network bridge, wherein the serial server, the second display module, the second camera and the second network bridge are respectively in interactive connection with the second switch, the serial server is connected with an infrared microwave double-monitoring detection module and a voice module, the infrared microwave double-monitoring detection module is used for detecting pedestrians or non-motor vehicles on rural roads, and the voice module is used for carrying out voice broadcasting prompt; the serial port server is interactively connected with the second network bridge through the second switch;
and wireless data transmission is carried out between the vehicle management and control pile and the pedestrian management and control pile through the first network bridge and the second network bridge.
2. The internet-of-things aware traffic warning system of claim 1, wherein: the vehicle management and control pile further comprises a visibility meter and an illuminance sensor, the visibility meter and the illuminance sensor are connected with the processing unit, the visibility meter is used for acquiring environmental visibility and transmitting the environmental visibility to the processing unit, and the illuminance sensor is used for acquiring environmental illuminance and transmitting the environmental illuminance to the processing unit.
3. The internet-of-things aware traffic warning system of claim 1, wherein: the Internet of things perception traffic warning system further comprises a traffic control center, and the vehicle control pile and the pedestrian control pile are in wireless data communication with the traffic control center through the router and the Internet of things module.
4. The internet-of-things aware traffic warning system of claim 1, wherein: the Internet of things perception traffic warning system further comprises a mobile phone terminal, navigation software is installed on the mobile phone terminal, the navigation software receives information transmission of the vehicle control pile and the pedestrian control pile, and real-time road conditions are displayed on the mobile phone terminals of vehicle drivers and pedestrians.
5. The internet-of-things aware traffic warning system of claim 1, wherein: the first display module and the second display module are both LED display screens.
6. The Internet of things perception traffic warning method is characterized by comprising the following steps: comprises a man-vehicle bidirectional warning method; the man-vehicle bidirectional warning method comprises the following steps: the system comprises a radar module of a vehicle management and control pile, a processing unit, a first switch, a second switch, a first display module, a second display module and a voice module, wherein the radar module of the vehicle management and control pile detects the vehicle condition of a main road sensing area and transmits the vehicle condition to the processing unit in real time, an infrared microwave double-monitoring detection module of the pedestrian management and control pile detects the condition of pedestrians or non-motor vehicles in a rural road sensing area and transmits the pedestrian or non-motor vehicles to the processing unit in real time, the vehicle management and control pile and the pedestrian management and control pile realize data intercommunication through the first switch, the first network bridge, the second; when vehicles are monitored to be in a main road sensing area and pedestrians or non-motor vehicles are monitored to be in a rural road sensing area, the first display module displays characters of pedestrian crossing and human-shaped animations, the second display module displays characters of left-side coming vehicles and vehicle animations, and the voice module plays left-side coming vehicles and attention avoiding voices; when it is monitored that no vehicle exists in the main road sensing area and a pedestrian or a non-motor vehicle exists in the country road sensing area, the second display module displays the character of 'observing attention', and the voice module plays the voice of 'entering the intersection and observing attention'; when it is monitored that vehicles exist in the main road sensing area but no pedestrians or non-vehicles exist in the rural road sensing area, the first display module displays the characters of 'watching attention'.
7. The internet-of-things perception traffic warning method as claimed in claim 6, wherein: the method comprises the following steps of: when vehicles are monitored to exist in a main road sensing area and pedestrians or non-motor vehicles exist in a country road sensing area, the radar module transmits the detected vehicle speed and the distance between the vehicles and the intersection to the processing unit in real time, the processing unit calculates a danger coefficient according to the vehicle speed and the distance between the vehicles and the intersection, and the larger the danger coefficient is, the larger the broadcast prompting volume of the voice module is controlled to be.
8. The internet-of-things perception traffic warning method as claimed in claim 6, wherein: the method comprises the following steps: the visibility meter obtains environmental visibility and transmits the environmental visibility to the processing unit, the illuminance sensor obtains environmental illuminance and transmits the environmental illuminance to the processing unit, the processing unit calculates the brightness grade, and adjusts the display brightness of the first display module and the display brightness of the second display module according to the calculation result.
9. The internet-of-things perception traffic warning method as claimed in claim 6, wherein: the traffic control method comprises the following steps: the method comprises the following steps that a first camera collects a real-time video on a main road and transmits the real-time video to a traffic control center through a router, a second camera collects a real-time video on a country road and transmits the real-time video to the traffic control center through the router, the traffic control center carries out statistics, analysis and comparison on traffic flow, vehicle speed and human flow, a road section squad, a district squad and a city squad receive information of the traffic control center, and the road section squad masters field road traffic conditions in real time and serves as a reference basis for service arrangement such as patrol inspection; the district team masters the macroscopic condition in the district and guides the middle team in the road section to work; the city teams grasp the safety situation of the rural highways in the whole city, clear up the important safety areas and the important time periods, make management measures and supervise the work.
10. The internet-of-things perception traffic warning method as claimed in claim 6, wherein: the method comprises the following steps of navigation software linkage reminding: navigation software is installed on mobile phone terminals of a vehicle driver and a pedestrian, information transmission is carried out between the mobile phone terminals and the vehicle control piles and the pedestrian control piles through the navigation software, and when the infrared microwave dual-monitoring detection module detects that pedestrians or non-vehicles exist in a country road sensing area, the mobile phone terminals of the vehicle driver carry out voice broadcast to remind the vehicle driver of paying attention to the pedestrians; when the radar module detects that vehicles exist in the main road sensing area, the mobile phone terminal of the pedestrian or the non-motor vehicle driver carries out voice broadcast to remind the pedestrian or the non-motor vehicle driver of paying attention to the coming vehicles in the main road.
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| CN114926978A (en) * | 2022-04-19 | 2022-08-19 | 安徽农网信息科技有限公司 | Intelligent video analysis system based on comprehensive events of villages and towns |
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