Highway road condition monitoring and early warning device

Abstract

The utility model provides a highway road condition monitoring and early warning device, which is provided with a plurality of detection ends, each detection end is provided with a GPS (Global Positioning System) for positioning, surrounding road condition information is shot through a rotatable camera module, and a detection end controller module operates an existing convolutional neural algorithm to extract road surface collapse information. Road surface collapse information can be wirelessly transmitted to all the vehicle-mounted terminals, all the alarm terminals and the big data service platform, all the vehicle-mounted terminals, all the alarm terminals and the big data service platform form a wireless network in an ad hoc network mode, and all the vehicle-mounted terminals can directly obtain the road surface collapse information. Information related to road surface collapse can be obtained through an electronic map provided by the big data service platform, sound-light alarm reminding can be obtained through the alarm end, and a vehicle owner can remotely obtain alarm information in a multi-path and multi-mode mode at the vehicle-mounted end, so that the vehicle owner can timely turn into an emergency lane or change other driving routes to avoid driving into a dangerous road section, and the driving safety of the vehicle is improved. Accurate and timely detection and rapid transmission of alarm information are realized.

Description

Technical Field

[0001] This utility model relates to the technical field of road monitoring, and in particular to a highway road condition monitoring and early warning device. Background Technology

[0002] Vehicles on highways travel at speeds between 60 km / h and 120 km / h, which is very high. If a road surface collapse occurs without timely warning, passing vehicles could fall into the collapsed section, causing unnecessary casualties and property damage. Therefore, it is necessary to effectively monitor and issue early warnings for abnormal road conditions such as road collapses on highways. While abnormal road conditions like landslides and traffic congestion are more easily detected as they occur above the roadbed, road collapses occur within or even below the roadbed, making detection more difficult and requiring greater accuracy. Failure to accurately and promptly detect and transmit warning information about road collapses poses a significant safety hazard. Utility Model Content

[0003] This utility model provides a highway road condition monitoring and early warning device, providing hardware support to solve the problem of existing technologies that "cannot accurately and timely detect and transmit alarm information on road collapse".

[0004] This utility model solves the technical problem through the following technical solution:

[0005] Highway traffic condition monitoring and early warning device includes at least one detection terminal, at least one vehicle-mounted terminal, at least one alarm terminal, and a big data service platform;

[0006] Each detection terminal includes a detection terminal controller module, a detection terminal GPS module, a rotatable camera module, and a detection terminal network transmission module. The detection terminal GPS module is bidirectionally connected to the detection terminal controller module. The rotatable camera module is bidirectionally connected to the detection terminal controller module. The detection terminal network transmission module is wirelessly connected to each vehicle-mounted terminal, each alarm terminal, and the big data service platform. The detection terminal controller module uses a convolutional neural network algorithm to determine road conditions based on the image and video information provided by the rotatable camera module, and transmits the determination results to each vehicle-mounted terminal, each alarm terminal, and the big data service platform through the detection terminal network transmission module.

[0007] Each vehicle-mounted terminal includes a vehicle-mounted controller module, a vehicle-mounted GPS module, an electronic map display module, and a vehicle-mounted network transmission module; the vehicle-mounted GPS module is bidirectionally connected to the vehicle-mounted controller module; the electronic map display module is bidirectionally connected to the vehicle-mounted controller module; the vehicle-mounted network transmission module is wirelessly connected to the network transmission modules of each detection terminal, and the vehicle-mounted network transmission module is wirelessly connected to the big data service platform;

[0008] Each alarm terminal includes an alarm terminal controller module, an alarm terminal network transmission module, and an audible and visual alarm module; the alarm terminal network transmission module is connected to the alarm terminal controller module, wirelessly connected to each detection terminal network transmission module, and wirelessly connected to the big data service platform;

[0009] The big data service platform updates the electronic map based on the abnormal road conditions detected by each detection terminal and feeds it back to each vehicle terminal.

[0010] Each detection terminal network transmission module, each alarm terminal network transmission module, each vehicle terminal network transmission module, and the big data service platform form a self-organizing wireless network.

[0011] Furthermore, each detection end also includes a guardrail deformation detection module and a light strip module; the output end of the guardrail deformation detection module is connected to the detection end controller module, and the guardrail deformation detection module is installed in the inner cavity of the guardrail of the external highway; the control end of the light strip module is connected to the detection end controller module, and the light strip module is installed on the outer surface of the external highway guardrail.

[0012] Furthermore, each detection end also includes a roadbed crack detection module; the output end of the roadbed crack detection module is connected to the detection end controller module; the roadbed crack detection module is installed in the roadbed of the external highway.

[0013] Furthermore, each alarm terminal also includes a warning sign; the control terminal of the warning sign is connected to the alarm terminal controller module.

[0014] Furthermore, the big data service platform integrates the abnormal road condition information sent from various detection terminals into a real-time updated highway electronic map, and marks the location, impact range, development trend, early warning information, and safe driving routes of the abnormal road conditions on the highway electronic map, and then provides them to various vehicle terminals.

[0015] Furthermore, each vehicle-mounted unit also includes an alarm, the control terminal of which is connected to the vehicle-mounted unit controller module.

[0016] The advantages and effects of this utility model are:

[0017] 1. Multiple detection terminals are set up, each equipped with GPS for positioning. A rotatable camera module captures surrounding road condition information. The controller module at each detection terminal runs an existing convolutional neural network algorithm to extract road collapse information. This information can be wirelessly transmitted to various vehicle-mounted terminals, alarm terminals, and a big data service platform. These terminals and the big data service platform form a self-organizing wireless network. Each vehicle-mounted terminal can directly obtain road collapse information, or access related information through an electronic map provided by the big data service platform. Audible and visual alarms can also be received from the alarm terminals. Drivers can remotely access alarm information via multiple paths and methods on their vehicle-mounted terminals, allowing them to promptly switch to the emergency lane or change routes to avoid dangerous sections. The use of GPS positioning, convolutional neural network algorithms, electronic maps, and wireless networks enables accurate and timely detection and rapid transmission of alarm information.

[0018] 2. Road surface collapse and sudden steering wheel turns by drivers can both cause guardrail deformation. Guardrail deformation detection modules are installed at each detection end to detect guardrail deformation. The controller module at the detection end further confirms whether there is an abnormal road condition based on the deformation and transmits the abnormal road condition information to each vehicle terminal, each alarm terminal, and the big data service platform to further improve the accuracy and timeliness of abnormal road condition detection.

[0019] 3. Install a roadbed crack detection module in the roadbed to detect cracks in the roadbed. Changes in roadbed cracks can better and earlier predict road surface collapse, further improving accuracy and timeliness. Attached Figure Description

[0020] Figure 1 This is a structural principle block diagram of the present invention. Detailed Implementation

[0021] The present invention will be further described below with reference to the embodiments, but the present invention is not limited to these embodiments.

[0022] Highway traffic condition monitoring and early warning device includes at least one detection terminal, at least one vehicle-mounted terminal, at least one alarm terminal, and a big data service platform;

[0023] Each detection terminal includes a detection terminal controller module, a detection terminal GPS module, a rotatable camera module, and a detection terminal network transmission module. The detection terminal GPS module is bidirectionally connected to the detection terminal controller module. The rotatable camera module is bidirectionally connected to the detection terminal controller module. The detection terminal network transmission module is wirelessly connected to each vehicle-mounted terminal, each alarm terminal, and the big data service platform. The detection terminal controller module uses a convolutional neural network algorithm to determine road conditions based on the image and video information provided by the rotatable camera module, and transmits the determination results to each vehicle-mounted terminal, each alarm terminal, and the big data service platform through the detection terminal network transmission module.

[0024] Each vehicle-mounted terminal includes a vehicle-mounted controller module, a vehicle-mounted GPS module, an electronic map display module, and a vehicle-mounted network transmission module; the vehicle-mounted GPS module is bidirectionally connected to the vehicle-mounted controller module; the electronic map display module is bidirectionally connected to the vehicle-mounted controller module; the vehicle-mounted network transmission module is wirelessly connected to the network transmission modules of each detection terminal, and the vehicle-mounted network transmission module is wirelessly connected to the big data service platform;

[0025] Each alarm terminal includes an alarm terminal controller module, an alarm terminal network transmission module, and an audible and visual alarm module; the alarm terminal network transmission module is connected to the alarm terminal controller module, wirelessly connected to each detection terminal network transmission module, and wirelessly connected to the big data service platform;

[0026] The big data service platform updates the electronic map based on the abnormal road conditions detected by each detection terminal and feeds it back to each vehicle terminal.

[0027] Each detection terminal network transmission module, each alarm terminal network transmission module, each vehicle-mounted terminal network transmission module, and the big data service platform form a self-organizing wireless network. The principle block diagram of this utility model is as follows: Figure 1 As shown.

[0028] Because of the differences in terrain, climate, and construction quality among various highways, it is necessary to set the number, location, and spacing of detection and alarm terminals according to the actual situation. For example, in sections of high foundation, high embankment, and mining areas where road surface collapse is prone to occur, detection terminals can be set at key points according to the length of the road section, and alarm terminals can be set up accordingly around the road section and at major intersections.

[0029] The rotatable camera module consists of at least one rotatable camera. Each rotatable camera inputs the captured image and video information to the detection end controller module. The rotatable camera mainly includes an image sensor, a rotatable component, a Hall effect device, a rotating bracket, and a camera module. The image sensor is mounted on the rotating bracket, which in turn is mounted on the rotatable component. The rotating bracket is connected to the camera module. The rotatable component is used to adjust the image sensor's shooting range, achieving 360° framing. Using rotatable cameras, complete road conditions for specific road sections can be captured as needed, avoiding missed detections.

[0030] The image signal from the rotatable camera module is input to the detection-end controller module. The controller module runs an existing convolutional neural network algorithm to extract motion-blurred regions from the image / video, constructs a quality assessment model, and performs quality checks on the image, filtering out out-of-focus or non-road-related information. The road collapse images are then labeled, and a fault detection semantic segmentation model is constructed to identify the road collapses. Finally, after multiple iterations of training, the segmented road collapse region is output. Using the convolutional neural network algorithm, road collapses in images can be analyzed accurately and quickly.

[0031] Each GPS module at the detection end, vehicle-mounted end, and alarm end involves the Global Positioning System (GPS) to provide accurate location information for their respective detection end, vehicle-mounted end, and alarm end.

[0032] Each detection terminal network transmission module, each alarm terminal network transmission module, each vehicle-mounted terminal network transmission module, and the big data service platform act as communication nodes to realize a mobile ad hoc network. The ad hoc network method is existing technology, specifically as follows: For each node, in response to power-on operation, it broadcasts its own information and receives information from other nodes via the air interface; a routing table is established based on the self-node information and the information from other nodes; communication node links are established and connected based on the routing table and a preset mobile node selection strategy; and network communication is performed based on the communication node links. Further, the preset mobile node selection strategy includes: obtaining the communication routes between the mobile ad hoc network node and other mobile ad hoc network nodes; calculating the hop count of the communication routes based on the fixed ad hoc network node, and selecting the communication route with the smallest hop count as the network communication link; if the number of communication routes with the smallest hop count is not unique, then the communication route with the highest signal-to-noise ratio is selected as the ad hoc network communication link.

[0033] Furthermore, road surface collapses can cause guardrail deformation, and sudden steering wheel turns by vehicles can also cause guardrail deformation upon impact. Therefore, it is necessary to add guardrail deformation detection. Each detection unit includes a guardrail deformation detection module and a light strip module. The output of the guardrail deformation detection module is connected to the detection unit controller module, and the module is installed inside the guardrail of the external highway. The control terminal of the light strip module is connected to the detection unit controller module, and the module is installed on the outer surface of the external highway guardrail. The guardrail deformation detection module is a fiber optic sensor used to detect guardrail deformation. When the measured deformation value reaches or exceeds the alarm value, the detection unit controller module sends the alarm information to each vehicle terminal, each alarm terminal, and the big data service platform via the detection unit network transmission module. The light strip module is used in conjunction with the guardrail deformation detection module at the detection unit. When guardrail deformation occurs, the detection unit controller module activates the light strip module to issue a warning through a constant or flashing light.

[0034] Furthermore, each detection terminal also includes a roadbed crack detection module; the output terminal of the roadbed crack detection module is connected to the detection terminal controller module; the roadbed crack detection module is installed in the roadbed of the external highway. Specifically, the roadbed crack detection module is a potential crack detector. Cracks accumulated in the roadbed over time can cause road surface collapse when they reach a certain extent; therefore, it is necessary to detect roadbed cracks in order to trigger timely early warnings.

[0035] The big data service platform updating the electronic map based on abnormal road conditions detected by various detection terminals is also an existing technology. Specifically, the big data service platform integrates the abnormal road condition information sent by various detection terminals into a real-time updated highway electronic map, and marks the location, impact range, development trend, early warning information, and safe driving routes of the abnormal road conditions on the highway electronic map, and then provides it to each vehicle terminal. In each vehicle terminal, the electronic map content with abnormal road condition information provided by the big data service platform is received by the vehicle terminal network transmission module to the vehicle terminal controller module, and then displayed through the electronic map display module.

[0036] Each vehicle-mounted unit also includes an alarm, the control terminal of which is connected to the vehicle-mounted controller module. Upon receiving an abnormal road condition notification from the detection terminal, the vehicle-mounted controller module activates the alarm.

[0037] Detection terminals are installed at key points along the highway, and alarm terminals are correspondingly installed around the road and at major intersections. These alarm terminals work in conjunction with the detection terminals. At each alarm terminal, the controller module activates the audible and visual alarm module upon receiving alarm information from the detection terminal and the big data service platform. Since the information provided by the audible and visual alarm module is fleeting on high-speed vehicles, drivers may not receive the alarm information promptly. Therefore, a warning sign can be added to each alarm terminal to display the location of the road collapse, its distance from the current location, etc. The control terminal of the warning sign is connected to the alarm terminal controller module. The dual display of audible and visual alarms and warning signs at the alarm terminal further ensures timely and accurate transmission of alarm information, preventing unnecessary losses.

[0038] In the field of electrical engineering, data detection, data processing, and command control and execution inevitably involve computer programs. If the computer program involved is existing technology, an external program, or a simple calculation, comparison, and control operation, it should not be considered that the technical solution involves improvements to the computer program. The computer program involved in this utility model is existing technology and simple detection, transmission, and control, and does not involve improvements to the computer program. In this utility model, the specification clearly states that this technical solution provides hardware support to solve the problem of "inability to accurately and timely detect and transmit alarm information of road collapse" in the prior art; that is, it only contributes to the hardware to achieve this purpose. From the analysis of the beneficial effects, it can be seen that this technical solution achieves its purpose by setting up a self-organizing network detection end, vehicle end, alarm end, and big data service platform. That is, this technical solution optimizes the hardware structure in terms of detection, transmission, and control execution to provide hardware support for solving the corresponding technical problem. At the same time, the claims also only apply for protection of the corresponding hardware. Therefore, this technical solution should not be considered an unauthorized protected object.

Claims

1. A highway traffic condition monitoring and early warning device, characterized in that: It includes at least one detection terminal, at least one vehicle-mounted terminal, at least one alarm terminal, and a big data service platform; Each detection terminal includes a detection terminal controller module, a detection terminal GPS module, a rotatable camera module, and a detection terminal network transmission module. The detection terminal GPS module is bidirectionally connected to the detection terminal controller module. The rotatable camera module is bidirectionally connected to the detection terminal controller module. The detection terminal network transmission module is wirelessly connected to each vehicle-mounted terminal, each alarm terminal, and the big data service platform. The detection terminal controller module uses a convolutional neural network algorithm to determine road conditions based on the image and video information provided by the rotatable camera module, and transmits the determination results to each vehicle-mounted terminal, each alarm terminal, and the big data service platform through the detection terminal network transmission module. Each vehicle-mounted terminal includes a vehicle-mounted controller module, a vehicle-mounted GPS module, an electronic map display module, and a vehicle-mounted network transmission module; the vehicle-mounted GPS module is bidirectionally connected to the vehicle-mounted controller module; the electronic map display module is bidirectionally connected to the vehicle-mounted controller module; the vehicle-mounted network transmission module is wirelessly connected to the network transmission modules of each detection terminal, and the vehicle-mounted network transmission module is wirelessly connected to the big data service platform; Each alarm terminal includes an alarm terminal controller module, an alarm terminal network transmission module, and an audible and visual alarm module; the alarm terminal network transmission module is connected to the alarm terminal controller module, wirelessly connected to each detection terminal network transmission module, and wirelessly connected to the big data service platform; The big data service platform updates the electronic map based on the abnormal road conditions detected by each detection terminal and feeds it back to each vehicle terminal. Each detection terminal network transmission module, each alarm terminal network transmission module, each vehicle terminal network transmission module, and the big data service platform form a self-organizing wireless network.

2. The highway traffic condition monitoring and early warning device according to claim 1, characterized in that: Each detection end also includes a guardrail deformation detection module and a light strip module; the output end of the guardrail deformation detection module is connected to the detection end controller module, and the guardrail deformation detection module is installed in the inner cavity of the guardrail of the external highway; the control end of the light strip module is connected to the detection end controller module, and the light strip module is installed on the outer surface of the external highway guardrail.

3. The highway traffic condition monitoring and early warning device according to claim 1, characterized in that: Each detection terminal also includes a roadbed crack detection module; the output terminal of the roadbed crack detection module is connected to the detection terminal controller module; the roadbed crack detection module is installed in the roadbed of the external highway.

4. The highway traffic condition monitoring and early warning device according to claim 1, characterized in that: Each alarm terminal also includes a warning sign; the control terminal of the warning sign is connected to the alarm terminal controller module.

5. The highway traffic condition monitoring and early warning device according to claim 1, characterized in that: The big data service platform integrates abnormal road condition information sent from various detection terminals into a real-time updated highway electronic map, and marks the location, impact range, development trend, early warning information, and safe driving routes of the abnormal road conditions on the highway electronic map, and then provides them to various vehicle terminals.

6. The highway traffic condition monitoring and early warning device according to claim 1, characterized in that: Each vehicle-mounted unit also includes an alarm, the control terminal of which is connected to the vehicle-mounted unit controller module.

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