Lane accident alarm method and system based on light warning board and traffic internet of things

Abstract

This application relates to the field of road traffic safety technology, specifically to a lane accident alarm method and system based on light warning signs and the Internet of Things (IoT) for traffic. The system includes a vehicle accident sensing unit, an intelligent light warning sign unit, and a traffic IoT control platform. The vehicle accident sensing unit is integrated inside the vehicle and is used to detect vehicle collision status in real time. When a collision is detected, it generates an accident alarm command and sends it to the traffic IoT control platform. The traffic IoT control platform is configured to transmit the alarm signal to the intelligent light warning sign unit and control the intelligent light warning sign unit to activate its warning function. In the event of a traffic accident, this application can automatically trigger an alarm and automatically control the light warning signs on the road to warn other vehicles, thereby preventing secondary accidents.

Description

Technical Field

[0001] This application relates to the field of road traffic safety technology, and more specifically, to a lane accident alarm method and system based on light warning signs and the Internet of Things for traffic. Background Technology

[0002] After a road traffic accident, timely and effective warnings and calls are crucial to preventing secondary accidents and ensuring efficient rescue efforts. Currently, after a road accident, the process mainly relies on the driver manually placing a traditional warning triangle and calling the police. However, in major accidents where occupants are unable to move or are unconscious, they cannot place warning devices or call the police themselves, thus requiring improvement. Summary of the Invention

[0003] The purpose of this application is to provide a lane accident alarm method and system based on light warning signs and traffic Internet of Things to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, this application provides the following technical solution: A lane accident alarm method and system based on light warning signs and traffic IoT includes a vehicle accident sensing unit, an intelligent light warning sign unit, and a traffic IoT management and control platform. The vehicle accident sensing unit is integrated inside the vehicle and is used to detect vehicle collision status in real time. When a vehicle collision accident is detected, the vehicle accident sensing unit generates an accident alarm command and sends it to the traffic IoT management and control platform. The traffic IoT management and control platform is configured to transmit the alarm signal to the intelligent light warning sign unit and control the intelligent light warning sign unit to activate the warning function.

[0005] Furthermore, the vehicle accident perception unit includes a collision sensor, an acceleration sensor, a GPS positioning module, an in-vehicle communication module, and a warning control module. The collision sensor and the acceleration sensor are configured to collect vehicle collision data and acceleration data in real time, respectively. When the collected data exceeds a preset accident judgment threshold, the vehicle is judged to have been involved in a traffic accident. The GPS positioning module is configured to acquire the vehicle's current GPS positioning information and lane information. The in-vehicle communication module is configured to send the accident detection results and location information to the traffic IoT management platform via a cellular mobile communication network. The warning control module is configured to automatically control the vehicle to continuously activate its hazard warning lights after an accident is determined to have occurred.

[0006] Furthermore, the intelligent light warning sign unit includes a light warning sign, a linkage communication module, and a control module. The light warning signs are deployed along the road, with one sign placed at preset intervals. Each light warning sign has multiple rows of LED warning lights, with the same number of rows of LED warning lights corresponding to the number of lanes in the road segment. The color and flashing frequency of each row of LED warning lights can be independently adjusted. The linkage communication module is configured to receive warning activation commands sent by the traffic IoT management platform and to feed back the device's operating status to the traffic IoT management platform. The control module is configured to control the flashing frequency and color of the LED warning lights according to the commands from the traffic IoT management platform.

[0007] Furthermore, the control module adjusts the LED warning lights in the lane where the accident vehicle is located to red, and adjusts the LED warning lights in the corresponding columns of other lanes to yellow, thereby realizing a visual warning of the accident lane; the LED warning lights integrate a flashing drive circuit, and the flashing frequency is dynamically adjusted according to the distance from the accident point, with a higher flashing frequency the closer the distance.

[0008] Furthermore, the traffic IoT management and control platform includes a data receiving module, a location matching module, a warning dispatch module, and a rescue linkage module. The data receiving module is configured to receive accident information and location data sent by the vehicle accident perception unit. The location matching module is configured to match the accident location with the light warning signs deployed along the road to determine the light warning sign sections that need to be activated. The warning dispatch module is configured to send activation commands to the selected light warning signs, allocate flashing frequencies according to the principle of low flashing at a distance and high flashing at a distance, and simultaneously switch the LED warning lights in the corresponding column of the accident lane to red to guide following vehicles to change lanes in advance. The rescue linkage module is configured to push the accurate accident location and preliminary on-site information to the nearest traffic management department and rescue agency, and synchronously share the accident location and warning activation status to facilitate the rapid arrival of rescue vehicles at the scene.

[0009] The lane accident alarm method based on light warning signs and the Internet of Things for traffic includes the following steps: S1. The vehicle accident perception unit detects the vehicle's driving status in real time. The acceleration sensor and collision sensor collect vehicle acceleration and collision data in real time, respectively. When the collected data does not exceed the preset accident judgment threshold, monitoring continues. S2. When the collected data exceeds the preset accident judgment threshold, the vehicle is judged to have been involved in a traffic accident. After the collision detection module determines that the accident has occurred, the warning control module automatically controls the vehicle to keep the hazard warning flashing lights on. The GPS positioning module obtains the vehicle's current location information and lane information. The vehicle communication module sends the accident detection results and location information to the traffic Internet of Things management and control platform through the cellular mobile communication network. S3. The traffic IoT management and control platform receives accident information and location data sent by the vehicle accident perception unit through the data receiving module, calculates the light warning signs of the road sections that need to be activated, as well as the flashing frequency and flashing color of the lights, and then sends an activation command to the intelligent light warning sign unit so that the light warning signs of the corresponding road sections can work according to the command requirements. S4. While working in step S3, the traffic IoT management and control platform will push the precise accident location and preliminary on-site information to the nearest traffic management department and rescue agency. S5. After all road rescue work is completed, the personnel at the rescue site send a signal to the traffic IoT management platform to control the smart light warning sign unit to return to its initial operating state before the accident.

[0010] Compared with the prior art, the beneficial effects of this application are: This lane accident alarm method and system based on light warning signs and the Internet of Things for traffic can automatically alarm and automatically control the light warning signs on the road to warn other vehicles when a traffic accident occurs, thereby avoiding secondary accidents. Attached Figure Description

[0011] Figure 1 This is a schematic diagram of the overall structure of the light warning sign of this application.

[0012] The meanings of the labels in the diagram are as follows: 10. Lighted warning sign; 11. LED warning light; 12. Reflective strip. Detailed Implementation

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0014] This application provides a technical solution: Please refer to the following: A lane accident alarm method and system based on light warning signs and the Internet of Things for traffic. Figure 1 This includes vehicle accident detection units, intelligent light warning sign units, and a traffic IoT management and control platform. The vehicle accident perception unit in this application is integrated inside the vehicle and is used to detect the vehicle collision status in real time. When a collision signal that meets the accident judgment threshold is detected, the vehicle's current location information is obtained, and an accident alarm command is generated and sent to the traffic IoT management and control platform through the vehicle communication module. The traffic IoT management and control platform then transmits the signal to the intelligent light warning sign unit to control the intelligent light warning sign unit to work.

[0015] Specifically, the vehicle accident detection unit includes a collision sensor, an acceleration sensor, a GPS positioning module, an in-vehicle communication module, and a warning control module. The acceleration sensor and collision sensor collect vehicle acceleration and collision data in real time, respectively. When the collected data exceeds a preset accident judgment threshold, the vehicle is judged to have been involved in a traffic accident. The GPS positioning module obtains the vehicle's current GPS location information and lane information. The in-vehicle communication module transmits the accident detection results and location information to the traffic Internet of Things management and control platform via a cellular mobile communication network. After the collision detection module determines that an accident has occurred, the warning control module automatically controls the vehicle to continuously activate the hazard warning lights.

[0016] When the acceleration and collision data collected by the acceleration and collision sensors exceed the preset accident judgment threshold, a traffic accident is determined to have occurred. The accident detection results and location information are sent to the traffic Internet of Things management and control platform via the cellular mobile communication network through the vehicle communication module. At the same time, after the collision detection module determines that an accident has occurred, the warning control module automatically controls the vehicle to keep the hazard warning lights on.

[0017] In this application, the accelerometer sampling frequency is 100Hz. When an instantaneous acceleration greater than 20g (gravitational acceleration) is detected and the vehicle speed drops from greater than 30km / h to 0 within 1 second, a collision is determined to have occurred. The GPS positioning module uses centimeter-level differential GPS, with a positioning error controlled within 1 meter, which can accurately determine the vehicle's lane position.

[0018] The intelligent light warning sign unit includes a light warning sign 10, a linkage communication module, and a control module. The light warning signs 10 are installed at intervals along the road, specifically one every 50 meters. Each light warning sign 10 has multiple rows of LED warning lights 11. The number of rows of LED warning lights 11 on the light warning sign 10 for each lane is set to match the number of lanes. The color of each row of LED warning lights 11 can be controlled differently. An integrated flashing drive circuit allows the flashing frequency to be dynamically adjusted based on the distance to the accident site; the closer the distance, the higher the frequency. The color of each row of LED warning lights 11 can be adjusted according to the lane where the accident vehicle is located, ensuring that oncoming traffic can easily identify which lane the accident vehicle is in. Specifically, the LED warning lights 11 in the corresponding row are set to red, while the other rows are set to yellow. This color differentiation allows oncoming traffic to easily avoid the lane where the accident occurred.

[0019] The light warning sign 10 in this application is also equipped with reflective strips 12, which can play a certain reflective effect and thus also assist in the warning function.

[0020] The linkage communication module is used to receive the warning activation command sent by the traffic IoT management and control platform, and to feed back the device operating status to the traffic IoT management and control platform.

[0021] The control module is used to control the flashing frequency and flashing color of the LED warning light 11 on the traffic IoT management and control platform. When the collision risk is zero, it is turned off or kept on with the same color (yellow). The more serious the vehicle collision, the higher the risk, the greater the flashing frequency. The flashing frequency range of the LED warning light 11 is 4Hz to 6Hz.

[0022] The traffic IoT management and control platform includes a data receiving module, a location matching module, an alert dispatching module, and a rescue linkage module. The data receiving module is used to receive accident information and location data sent by the vehicle accident sensing unit. The location matching module is used to match the accident location with the light warning signs 10 deployed along the road to determine the section of light warning signs 10 that needs to be activated; The warning dispatch module is used to send activation commands to the selected light warning signs 10 and allocate flashing frequencies according to the principle of "lower for farther distances and higher for closer distances". For example, the flashing frequency of LED warning lights 11 within a range of 150 meters to 500 meters from the accident point is set to 4Hz, within a range of 50 meters to 150 meters it is set to 5Hz, and within a range of 0 to 50 meters it is set to 6Hz, forming a progressive warning effect from far to near. At the same time, the LED warning lights 11 in the lane corresponding to the accident are switched to red to guide vehicles behind to change lanes in advance. The rescue linkage module is used to push the precise accident location and preliminary on-site information to the nearest traffic management department and rescue agency, and supports the synchronous sharing of accident location and warning activation status, so as to facilitate the rapid arrival of rescue vehicles at the scene. The location matching module in this application follows these rules when determining which smart light warning sign units need to be activated: on regular roads, it activates all smart light warning sign units within 500 meters of the accident point in the direction of oncoming traffic; on highways, it activates all smart light warning sign units within 1000 meters in the direction of oncoming traffic; in rainy or foggy weather, it automatically extends the activation range by 50% to ensure sufficient warning distance.

[0023] It is worth noting that in this application, the LED warning lights 11 in the same column can also be set as arrow indicators; the number of columns of LED warning lights 11 on the light warning sign can be set according to the number of lanes.

[0024] This application also includes a lane accident alarm method based on light warning signs and the Internet of Things for traffic, specifically including the following steps: S1. The vehicle accident perception unit detects the vehicle's driving status in real time. The acceleration sensor and collision sensor collect vehicle acceleration and collision data in real time, respectively. When the collected data does not exceed the preset accident judgment threshold, monitoring continues. S2. When the collected data exceeds the preset accident judgment threshold, the vehicle is judged to have been involved in a traffic accident. After the collision detection module determines that the accident has occurred, the warning control module automatically controls the vehicle to keep the hazard warning flashing lights on. The GPS positioning module obtains the vehicle's current location information and lane information. The vehicle communication module sends the accident detection results and location information to the traffic Internet of Things management and control platform through the cellular mobile communication network. S3. The traffic IoT management and control platform receives accident information and location data sent by the vehicle accident perception unit through the data receiving module, calculates the light warning signs 10 of the road section that need to be activated, as well as the light flashing frequency and flashing color, and then sends an activation command to the intelligent light warning sign unit so that the light warning signs 10 of the corresponding road section work according to the command requirements. S4. While working in step S3, the traffic IoT management and control platform will push the precise accident location and preliminary on-site information to the nearest traffic management department and rescue agency. S5. After all road rescue work is completed, the personnel at the rescue site send a signal to the traffic IoT management platform to control the smart light warning sign unit to return to its initial operating state before the accident.

Claims

1. A lane accident alarm system based on light warning signs and the Internet of Things for traffic, characterized in that... The system includes a vehicle accident detection unit, an intelligent light warning sign unit, and a traffic IoT management platform. The vehicle accident detection unit is integrated inside the vehicle and is used to detect vehicle collision status in real time. When a collision accident is detected, the vehicle accident detection unit generates an accident alarm command and sends it to the traffic IoT management platform. The traffic IoT management platform is configured to transmit the alarm signal to the intelligent light warning sign unit and control the intelligent light warning sign unit to activate the warning function.

2. The lane accident alarm system based on light warning signs and traffic IoT as described in claim 1, characterized in that: The vehicle accident perception unit includes a collision sensor, an acceleration sensor, a GPS positioning module, a vehicle communication module, and a warning control module. The collision sensor and the acceleration sensor are configured to collect vehicle collision data and acceleration data in real time, respectively. When the collected data exceeds a preset accident judgment threshold, the vehicle is judged to have been involved in a traffic accident. The GPS positioning module is configured to acquire the vehicle's current GPS positioning information and lane information; the vehicle communication module is configured to send the accident detection results and location information to the traffic Internet of Things management and control platform via a cellular mobile communication network. The warning control module is configured to automatically control the vehicle to continuously activate the hazard warning lights after an accident is determined to have occurred.

3. The lane accident alarm system based on light warning signs and traffic IoT as described in claim 2, characterized in that: The intelligent light warning sign unit includes a light warning sign (10), a linkage communication module, and a control module; the light warning sign (10) is laid out along the road, with one set at a preset interval, and the light warning sign (10) is equipped with multiple rows of LED warning lights (11). The number of rows of LED warning lights (11) is the same for the number of lanes in the corresponding road section. The color and flashing frequency of each row of LED warning lights (11) can be independently adjusted; the linkage communication module is configured to receive the warning activation command sent by the traffic Internet of Things management platform and to feed back the device operating status to the traffic Internet of Things management platform; The control module is configured to control the flashing frequency and color of the LED warning light (11) according to the instructions of the traffic Internet of Things management platform.

4. The lane accident alarm system based on light warning signs and traffic Internet of Things as described in claim 3, characterized in that: The control module adjusts the LED warning lights (11) of the corresponding lane to red and the LED warning lights (11) of the other lanes to yellow according to the lane where the accident vehicle is located, so as to realize the visual warning of the accident lane; the LED warning lights (11) integrate a flashing drive circuit, and the flashing frequency is dynamically adjusted according to the distance from the accident point, and the closer the distance, the higher the flashing frequency.

5. The lane accident alarm system based on light warning signs and traffic Internet of Things as described in claim 4, characterized in that: The traffic IoT management and control platform includes a data receiving module, a location matching module, a warning dispatch module and a rescue linkage module; the data receiving module is configured to receive accident information and location data sent by the vehicle accident perception unit; the location matching module is configured to match the accident location with the light warning signs (10) deployed along the road and determine the light warning sign (10) section that needs to be activated; The warning dispatch module is configured to send an activation command to the selected light warning sign (10), allocate the flashing frequency according to the principle of far low and near high, and switch the LED warning light (11) of the corresponding column of the lane where the accident occurred to red to guide the vehicles behind to change lanes in advance. The rescue linkage module is configured to push the precise accident location and preliminary on-site information to the nearest traffic management department and rescue agency, and simultaneously share the accident location and warning activation status to facilitate the rapid arrival of rescue vehicles at the scene.

6. A lane accident alarm method based on light warning signs and traffic IoT, employing the lane accident alarm system based on light warning signs and traffic IoT as described in any one of claims 1-5, characterized in that, Specifically, the steps include the following: S1. The vehicle accident perception unit detects the vehicle's driving status in real time. The acceleration sensor and collision sensor collect vehicle acceleration and collision data in real time, respectively. When the collected data does not exceed the preset accident judgment threshold, monitoring continues. S2. When the collected data exceeds the preset accident judgment threshold, the vehicle is judged to have been involved in a traffic accident. After the collision detection module determines that the accident has occurred, the warning control module automatically controls the vehicle to keep the hazard warning flashing lights on. The GPS positioning module obtains the vehicle's current location information and lane information. The vehicle communication module sends the accident detection results and location information to the traffic Internet of Things management and control platform through the cellular mobile communication network. S3. The traffic IoT management platform receives accident information and location data sent by the vehicle accident perception unit through the data receiving module, calculates the light warning signs (10) of the road section to be activated, as well as the light flashing frequency and flashing color, and then sends an activation command to the intelligent light warning sign unit so that the light warning signs (10) of the corresponding road section work according to the command requirements. S4. While working in step S3, the traffic IoT management and control platform will push the precise accident location and preliminary on-site information to the nearest traffic management department and rescue agency. S5. After all road rescue work is completed, the personnel at the rescue site send a signal to the traffic IoT management platform to control the smart light warning sign unit to return to its initial operating state before the accident.

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