An ultrahigh vehicle impact bridge early warning system
By using a bridge deformation and collapse prediction model and early warning device, the problem of oversized vehicles colliding with bridges has been solved, achieving safety early warning both on and under the bridge, and reducing the risk of collisions and casualties.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGAN UNIV
- Filing Date
- 2024-11-15
- Publication Date
- 2026-05-12
AI Technical Summary
Existing technologies cannot effectively predict collisions with oversized vehicles on the superstructure of bridges, and traditional height restriction frames cannot adapt to dynamic changes in the clearance under the bridge, leading to frequent collision accidents and the inability to evacuate people on and under the bridge in a timely manner.
By employing bridge deformation prediction models and bridge collapse prediction models, combined with monitoring data from both above and below the bridge, the data processing module predicts whether vehicles will collide with the bridge and the likelihood of bridge collapse, and provides early warnings through early warning devices both above and below the bridge.
It enables accurate early warning of oversized vehicles colliding with bridges, reduces the likelihood of collisions, and allows for timely evacuation of people on and under the bridge, thus avoiding large-scale casualties.
Smart Images
Figure CN119445784B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of bridge collision avoidance technology, specifically relating to an early warning system for high-altitude vehicles colliding with bridges. Background Technology
[0002] Due to factors such as the increase in vehicle types and heights, the widening and renovation of urban roads, and driver violations, the clearance design under some old bridges can no longer fully meet the needs of traffic under the bridges. Traffic accidents often occur where oversized vehicles collide with the superstructure of the bridges, causing local damage or even collapse of the beams. This not only affects normal road traffic but also seriously threatens the lives and property of the people.
[0003] Currently, to prevent oversized vehicles from colliding with the bridge superstructure, the vast majority of methods rely on height restriction barriers. However, this method somewhat overlooks the dynamic changes in the clearance under the bridge caused by vehicles traveling on it, as well as changes in the height of the height restriction barriers and the clearance under the bridge due to special circumstances such as road subsidence. Ultimately, this could prevent vehicles from crossing the bridge, leading to accidents where oversized vehicles collide with the bridge superstructure. Furthermore, in the event of a collision, current warning systems can only alert vehicles and pedestrians below the bridge, not those on the bridge itself.
[0004] In view of this, the inventors provide an early warning system for high-altitude vehicles colliding with bridges to solve the above-mentioned technical problems. Summary of the Invention
[0005] The purpose of this invention is to overcome the shortcomings of the prior art and propose an oversized vehicle collision warning system for bridges. By setting up a bridge deformation prediction model and a bridge collapse prediction model in the data processing module, the measured data of vehicles on and under the bridge are transmitted to the bridge deformation prediction model and the bridge collapse prediction model, thereby predicting whether a vehicle will collide with the bridge and the possibility of bridge collapse. Finally, the system uses an oversized vehicle warning device under the bridge and an oversized vehicle warning device on the bridge to provide early warning of possible collisions, evacuate people on the bridge in advance, and alert oversized vehicles under the bridge, thus avoiding large-scale casualties caused by oversized vehicle collisions.
[0006] To achieve the above objectives, the present invention adopts the following technical solution:
[0007] This invention provides an early warning system for high-altitude vehicles colliding with bridges, including a monitoring module, a data processing module, and an early warning module, wherein the monitoring module and the early warning module are both connected to the data processing module;
[0008] The monitoring module includes an under-bridge monitoring unit and an on-bridge vehicle monitoring device connected to the data processing module; the early warning module includes an under-bridge over-height vehicle early warning device and an on-bridge early warning device connected to the data processing module.
[0009] The data processing module includes a bridge deformation prediction model and a bridge collapse prediction model. The under-bridge monitoring unit and the on-bridge vehicle monitoring device upload the collected current vehicle data to the data processing module. The bridge deformation prediction model predicts whether the clearance under the bridge at the moment a vehicle to be passed arrives at the bridge position meets the height of the vehicle. If the height of the vehicle to be passed is less than the clearance under the bridge at that moment, then the clearance under the bridge at that moment meets the height of the vehicle to be passed, and the under-bridge over-height vehicle warning unit does not issue a warning. Otherwise, the clearance under the bridge at that moment does not meet the height of the vehicle to be passed, and the under-bridge over-height vehicle warning unit issues a warning. At the same time, the bridge collapse prediction model calculates the remaining bearing capacity of the bridge after the vehicle to be passed hits the bridge, and obtains the possibility of bridge collapse based on the remaining bearing capacity. At the same time, the on-bridge warning device issues a warning.
[0010] Furthermore, the system also includes a height restriction frame, and the under-bridge monitoring unit includes an under-bridge vehicle monitoring device connected to the data processing module, a weighing sensor installed on the under-bridge road surface, and an under-bridge clearance monitor installed on the height restriction frame.
[0011] Furthermore, the vehicle monitoring device under the bridge is the same as the vehicle monitoring device on the bridge;
[0012] The vehicle monitoring device on the bridge includes a gantry bracket and a lidar measuring device mounted on the gantry bracket, the lidar measuring device being connected to a data processing module;
[0013] The lidar measuring device of the vehicle monitoring device under the bridge is used to detect the height and speed of vehicles about to enter the area under the bridge.
[0014] The lidar measuring device of the vehicle monitoring device on the bridge is used to detect the speed of vehicles traveling on the bridge surface.
[0015] Furthermore, the under-bridge clearance monitor is a laser ranging displacement sensor used to measure the under-bridge clearance.
[0016] Furthermore, the under-bridge over-height vehicle warning device includes a first support rod, on which a first display screen and a first warning light connected to the data processing module are installed.
[0017] Furthermore, the bridge warning device includes a second support rod, on which a second display screen, a second warning light, and a loudspeaker connected to the data processing module are mounted.
[0018] Furthermore, the bridge deformation prediction model is based on the finite element model. Boundary conditions for the target bridge are added to the finite element model according to the actual situation. Using the measured vehicle speeds on the bridge and under the bridge, the model predicts the position of vehicles on the bridge when they pass under the bridge. The prediction calculation process is as follows:
[0019] Let T1 be the time when a vehicle under the bridge passes the monitoring device, V1 be the vehicle speed, and S1 be the distance between the monitoring device under the bridge and the bridge. Let T2 be the time when a vehicle on the bridge passes the monitoring device on the bridge, V2 be the vehicle speed, and S2 be the predicted displacement of the vehicle on the bridge. Let t be the time difference between the vehicles on the bridge and those under the bridge arriving at their respective monitoring devices.
[0020] t = T1 - T2(1)
[0021]
[0022] The predicted displacement of vehicles on the bridge is calculated using equations (1) and (2), which indicates the location of the vehicles on the bridge. Based on the predicted displacement of vehicles on the bridge, the vehicles are added as loads to the corresponding positions of the bridge in the established finite element model. The corresponding bridge deformation data is then calculated by solving the finite element model. The current clearance under the bridge obtained by the laser ranging displacement sensor is subtracted from the bridge deformation data to obtain the clearance under the bridge when the vehicles to be passed under the bridge arrive at the bridge position. Finally, it is determined whether the clearance under the bridge at this moment meets the height requirements of the vehicles to be passed under the bridge.
[0023] Furthermore, the bridge collapse prediction model includes calculating the predicted remaining bearing capacity of the bridge by measuring the vehicle speed, vehicle weight, vehicle superelevation, vehicle impact location on the bridge, and bridge concrete strength parameters. Then, the predicted remaining bearing capacity of the bridge is compared with the vehicle load weight on the bridge to calculate the probability of bridge collapse.
[0024] Compared with the prior art, the present invention has the following beneficial effects:
[0025] 1) This invention provides an early warning system for ultra-high vehicles colliding with bridges. By setting up a bridge deformation prediction model, an under-bridge monitoring unit, and a vehicle monitoring device on the bridge in the data processing module, it can accurately determine whether a vehicle will collide with the bridge superstructure. Compared with traditional collision avoidance measures, the lidar vehicle profile measurement system uses image recognition to measure vehicle data, avoiding height measurement errors caused by special circumstances such as road subsidence. Simultaneously, the bridge deformation prediction model considers the dynamic changes in the under-bridge clearance caused by vehicles traveling on the bridge, thereby greatly reducing the possibility of vehicles colliding with the bridge.
[0026] 2) The present invention provides an early warning system for ultra-high vehicle collisions with bridges. By setting a bridge collapse prediction model, a monitoring unit under the bridge and a vehicle monitoring device on the bridge in the data processing module, the remaining bearing capacity of the bridge can be calculated by vehicle speed, vehicle weight, vehicle height value, vehicle collision location on the bridge and bridge concrete strength, thereby obtaining the possibility of bridge collapse. Attached Figure Description
[0027] The accompanying drawings are incorporated in and form part of this specification, and together with the description serve to explain the principles of the invention.
[0028] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0029] Figure 1 This is a schematic diagram of the structure of the high-vehicle collision warning system for bridges of the present invention;
[0030] Figure 2 This is a flowchart of the over-height vehicle collision warning system for the present invention;
[0031] Figure 3 This is a schematic diagram of the bridge vehicle detection device in the ultra-high vehicle collision bridge early warning system of the present invention;
[0032] Figure 4 This is a schematic diagram of the height restriction frame structure of the over-height vehicle collision warning system of the present invention;
[0033] Figure 5 This invention relates to an under-bridge over-height vehicle collision warning system for over-height vehicles.
[0034] Figure 6 This invention relates to a bridge-mounted early warning device for an ultra-high vehicle collision early warning system.
[0035] Figure 7 This is a diagram showing the results of calculating the remaining bearing capacity using the bridge collapse prediction model of this invention.
[0036] The components are as follows: 1 is the monitoring module; 2 is the data processing module; 3 is the early warning module; 4 is the height restriction frame; 11 is the vehicle monitoring device on the bridge; 12 is the monitoring unit under the bridge; 21 is the bridge deformation prediction model; 22 is the bridge collapse prediction model; 31 is the early warning device for oversized vehicles under the bridge; 32 is the early warning device on the bridge; 120 is the vehicle monitoring device under the bridge; 121 is the weighing sensor; 122 is the clearance monitor under the bridge; 11-1 is the lidar measuring device; 11-2 is the gantry bracket; 31-1 is the first display screen; 31-2 is the first warning light; 31-3 is the first support rod; 32-1 is the second support rod; 32-2 is the second warning light; 32-3 is the second display screen; 32-4 is the loudspeaker. Detailed Implementation
[0037] Exemplary embodiments will now be described in detail. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples consistent with some aspects of the invention as detailed in the appended claims.
[0038] Please see Figures 1-6 This invention provides an early warning system for high-altitude vehicles colliding with bridges, including a monitoring module 1, a data processing module 2, and an early warning module 3, wherein the monitoring module 1 and the early warning module 3 are both connected to the data processing module 2.
[0039] The monitoring module 1 includes an under-bridge monitoring unit 12 and an on-bridge vehicle monitoring device 11 connected to the data processing module 2. The early warning module 3 includes an under-bridge over-height vehicle early warning device 31 and an on-bridge early warning device 32 connected to the data processing module 2.
[0040] The data processing module 2 includes a bridge deformation prediction model 21 and a bridge collapse prediction model 22. The under-bridge monitoring unit 12 and the on-bridge vehicle monitoring device 11 upload the collected current vehicle data to the data processing module 2. The bridge deformation prediction model 21 predicts whether the clearance under the bridge at the moment when the vehicle to be passed under the bridge arrives at the bridge position meets the height of the vehicle to be passed under the bridge, that is, it determines whether the vehicle to be passed will collide with the bridge. If the height of the vehicle to be passed is less than the clearance under the bridge at that moment, then the clearance under the bridge at that moment meets the height of the vehicle to be passed, and the under-bridge over-height vehicle warning unit 31 does not issue a warning. Otherwise, the clearance under the bridge at that moment does not meet the height of the vehicle to be passed, and the under-bridge over-height vehicle warning unit issues a warning. At the same time, the bridge collapse prediction model 22 calculates the remaining bearing capacity of the bridge after the vehicle to be passed collides with the bridge, and obtains the possibility of bridge collapse based on the remaining bearing capacity. At the same time, the on-bridge warning device 32 issues a warning.
[0041] like Figure 1 , 3As shown in Figure 4, the system also includes a height restriction frame 4. The under-bridge monitoring unit 12 includes an under-bridge vehicle monitoring device 120 connected to the data processing module 2, a weighing sensor 121 installed on the under-bridge road surface, and an under-bridge clearance monitor 122 installed on the height restriction frame 4.
[0042] like Figure 3 As shown, both the vehicle monitoring device 120 under the bridge and the vehicle monitoring device 11 on the bridge include a gantry bracket 11-2 and a lidar measuring device 11-1 installed on the gantry bracket 11-2. The lidar measuring device 11-1 is connected to the data processing module 2.
[0043] The lidar measuring device 11-1 of the vehicle monitoring device 120 under the bridge is used to detect the height and speed of vehicles that are about to enter the area under the bridge; the gantry bracket 11-2 is set at the entrance of the bridge or at the entrance of the road section where the bridge is located, and must meet the vehicle stopping sight distance determined by the speed limit of the road section where the bridge is located.
[0044] The lidar measuring device 11-1 of the vehicle monitoring device 11 on the bridge is used to detect the speed of vehicles traveling on the bridge surface.
[0045] Furthermore, the clearance monitor 122 under the bridge is a laser ranging displacement sensor used to measure the clearance under the bridge.
[0046] like Figure 5 As shown, the under-bridge over-height vehicle warning device 31 includes a first support rod 31-3, on which a first display screen 31-1 and a first warning light 31-2 connected to the data processing module 2 are provided.
[0047] In this embodiment, if an under-bridge warning is required, the data processing module 2 controls the first display screen 31-1 and the first warning light 31-2 to display the license plate of the over-height vehicle on the first display screen 31-1, and the first warning light 31-2 flashes a red light to warn the over-height vehicle that may be involved in a collision.
[0048] like Figure 6 As shown, the bridge warning device 32 includes a second support rod 32-1, on which a second display screen 32-3, a second warning light 32-2, and a loudspeaker 32-4 connected to the data processing module 2 are provided.
[0049] In this embodiment, when an oversized vehicle is likely to collide with the bridge, a vehicle collision warning and the possibility of the bridge collapsing after the collision are displayed on the second display screen 32-3, the second warning light 32-2 flashes red, and the loudspeaker 32-4 issues a collision warning.
[0050] The bridge deformation prediction model 21 is based on the finite element model. According to the actual situation, the boundary conditions of the target bridge are added to the finite element model. Based on the measured vehicle speeds on the bridge and the speeds of vehicles passing under the bridge, the model predicts the position of the vehicles on the bridge when the vehicles to be passed under the bridge. The prediction calculation process is as follows:
[0051] Let T1 be the time when a vehicle under the bridge passes the vehicle monitoring device 120, V1 be the vehicle speed, and S1 be the distance between the vehicle monitoring device 120 and the bridge. Let T2 be the time when a vehicle on the bridge passes the vehicle monitoring device 11, V2 be the vehicle speed, and S2 be the predicted displacement of the vehicle on the bridge. Let t be the time difference between the vehicle on the bridge and the vehicle under the bridge arriving at their respective monitoring devices.
[0052] t = T1 - T2(1)
[0053]
[0054] The predicted displacement value of the vehicle on the bridge is calculated using equations (1) and (2), which is the location of the vehicle on the bridge. Based on the predicted displacement value of the vehicle on the bridge, the vehicle is added as a load (in this embodiment, the load value is set to a fixed value) to the corresponding position of the bridge in the established bridge finite element model. By solving the finite element model, the corresponding bridge deformation data is calculated. The current clearance under the bridge obtained by the laser ranging displacement sensor is subtracted from the bridge deformation data to obtain the clearance under the bridge when the vehicle to be passed under the bridge arrives at the bridge position. Finally, it is determined whether the clearance under the bridge at this moment meets the height of the vehicle to be passed under the bridge.
[0055] In this embodiment, the finite element method is used to calculate the bridge deformation. The basic principle is to discretize the bridge structure into a finite number of small elements, establish expressions for the nodal forces and displacements of each element, and then recombine the elements into a complete structure according to static equilibrium and deformation compatibility conditions for calculation. The basic calculation process of this method is as follows: The equilibrium equations of the element in the local coordinate system are:
[0056]
[0057] Nodal forces of elements in the local coordinate system;
[0058] Element node displacements in the local coordinate system;
[0059] The stiffness matrix of the local coordinate system element.
[0060] Transform the local coordinate system into the global coordinate system:
[0061]
[0062] Fe: Nodal force of the element in the global coordinate system;
[0063] δe: Nodal displacement of the element in the global coordinate system;
[0064] Ke: Element stiffness matrix in the global coordinate system;
[0065] R: Coordinate transformation matrix.
[0066] Overall structural solution:
[0067]
[0068] Kδ=P(8)
[0069]
[0070] K: Structural stiffness matrix;
[0071] δ: Total displacement vector of the node;
[0072] P: Total load vector at the node;
[0073] Loads acting directly on the nodes;
[0074] The equivalent nodal load acting on the inter-node load.
[0075] Solving the above formula yields the displacements and internal forces of all nodes. This is the basic calculation process of the finite element method.
[0076] In equation (2), the predicted displacement of the vehicle on the bridge is the relative position of the vehicle on the bridge. Then, the load is applied to the corresponding position, which is the equivalent nodal load acting on the inter-segment load.
[0077] Furthermore, the bridge collapse prediction model 22 includes calculating the predicted remaining bearing capacity of the bridge by measuring the vehicle speed, vehicle weight, vehicle superelevation, vehicle impact location on the bridge, and bridge concrete strength parameters. Then, the predicted remaining bearing capacity of the bridge is compared with the vehicle load weight on the bridge to calculate the probability of bridge collapse.
[0078] In this embodiment, the remaining bearing capacity of the bridge is calculated using a finite element model.
[0079] To illustrate how the remaining bridge bearing capacity was obtained, the present invention performed the following calculations: First, different vehicle speeds, vehicle weights, vehicle superelevation values, vehicle impact locations on the bridge, and bridge concrete strength parameters were measured, as shown in Table 1. Then, the remaining bridge bearing capacity was calculated using a finite element model. Figure 7 As shown.
[0080] Table 1. Data of different parameters obtained from actual measurements.
[0081]
[0082] The working principle of this invention is as follows: The data processing module 2 first obtains relevant parameter data of vehicles under the bridge from the under-bridge monitoring unit 12 and the vehicle monitoring device 11 on the bridge; then, the data processing module 2 transmits the speeds of vehicles under the bridge and vehicles on the bridge to the bridge deformation prediction model 21, which calculates the position of vehicles on the bridge when the vehicles under the bridge arrive at the bridge position; further, the bridge deformation prediction model 21 calculates the deformation of the bridge when the vehicles under the bridge arrive at the bridge position based on the obtained vehicle position information; then, the bridge deformation prediction model 21 transmits the bridge deformation data and the vehicle load weight data on the bridge to the data processing module 2, which transmits the current bridge deformation data measured by the laser ranging displacement sensor to the data processing module 2. Subtracting the bridge deformation data from the clearance, the height of the remaining space under the bridge at the moment when the vehicle to be passed under the bridge arrives at the bridge position is obtained. The data processing module 2 compares the height of the remaining space with the height of the vehicle to determine whether the vehicle will collide with the bridge. If a collision is expected, the data processing module 2 transmits the vehicle load weight on the bridge, the vehicle speed under the bridge, the vehicle height under the bridge, and the vehicle weight under the bridge to the bridge collapse prediction model 22. The bridge collapse prediction model 22 calculates the remaining bearing capacity of the bridge and compares the predicted remaining bearing capacity of the bridge with the vehicle load weight on the bridge to obtain the probability of bridge collapse. At the same time, the data processing module 2 transmits the probability of bridge collapse to the under-bridge over-height vehicle warning device 31 and the bridge warning device 32. The two warning devices issue warning signals to the relevant objects.
[0083] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention.
[0084] It should be understood that the present invention is not limited to the content already described above, and various modifications and changes can be made without departing from its scope. The scope of the present invention is limited only by the appended claims.
Claims
1. A bridge collision early warning system for oversized vehicles, characterized in that, It includes a monitoring module (1), a data processing module (2), and an early warning module (3), wherein the monitoring module (1) and the early warning module (3) are both connected to the data processing module (2); The monitoring module (1) includes a bridge under-bridge monitoring unit (12) and a bridge vehicle monitoring device (11) connected to the data processing module (2). The early warning module (3) includes a bridge under-bridge over-height vehicle early warning device (31) and a bridge early warning device (32) connected to the data processing module (2). The data processing module (2) includes a bridge deformation prediction model (21) and a bridge collapse prediction model (22). The under-bridge monitoring unit (12) and the bridge vehicle monitoring device (11) upload the collected current vehicle data to the data processing module (2). The bridge deformation prediction model (21) predicts whether the clearance under the bridge meets the height of the under-bridge vehicle when the under-bridge vehicle arrives at the bridge position. If the height of the under-bridge vehicle is less than the clearance under the bridge at that time, then the clearance under the bridge at that time meets the height of the under-bridge vehicle, and the under-bridge over-height vehicle warning device (31) does not issue a warning. Otherwise, the clearance under the bridge at that time does not meet the height of the under-bridge vehicle, and the under-bridge over-height vehicle warning device (31) issues a warning. At the same time, the bridge collapse prediction model (22) calculates the remaining bearing capacity of the bridge after the under-bridge vehicle hits the bridge, and obtains the possibility of bridge collapse based on the remaining bearing capacity. At the same time, the bridge warning device (32) issues a warning. The bridge deformation prediction model (21) is based on the finite element model. According to the actual situation, the boundary conditions of the target bridge are added to the finite element model. Based on the measured vehicle speed on the bridge and the vehicle speed passing under the bridge, the position of the vehicle on the bridge when the vehicle to be passed passes under the bridge is predicted. The prediction calculation process is as follows: Let the time when the vehicles waiting to pass under the bridge pass the vehicle monitoring device (120) under the bridge be . The vehicle speed is The distance between the vehicle monitoring device (120) under the bridge and the bridge location is ; The time when vehicles pass over the bridge vehicle monitoring device (11) is The vehicle speed is The predicted displacement of vehicles on the bridge is The time difference between vehicles on the bridge and vehicles below the bridge arriving at their respective monitoring devices is t: （1） （2） The predicted displacement of vehicles on the bridge is calculated using equations (1) and (2), which is the location of the vehicles on the bridge. Based on the predicted displacement of vehicles on the bridge, the vehicles are added as loads to the corresponding positions of the bridge in the established finite element model of the bridge. The bridge deformation data is then calculated by solving the finite element model. The current clearance under the bridge obtained by the laser ranging displacement sensor is subtracted from the bridge deformation data to obtain the clearance under the bridge when the vehicles to be passed under the bridge arrive at the bridge position. Finally, it is determined whether the clearance under the bridge at this moment meets the height of the vehicles to be passed under the bridge.
2. The over-height vehicle collision warning system for bridges according to claim 1, characterized in that, The system also includes a height restriction frame (4), and the under-bridge monitoring unit (12) includes an under-bridge vehicle monitoring device (120) connected to the data processing module (2), a weighing sensor (121) installed on the under-bridge road surface, and an under-bridge clearance monitor (122) installed on the height restriction frame (4).
3. The bridge collision early warning system for oversized vehicles according to claim 2, characterized in that, The vehicle monitoring device (120) under the bridge and the vehicle monitoring device (11) on the bridge are the same; The vehicle monitoring device (11) on the bridge includes a gantry bracket (11-2) and a lidar measuring device (11-1) mounted on the gantry bracket (11-2), wherein the lidar measuring device (11-1) is connected to the data processing module (2); The lidar measuring device (11-1) of the vehicle monitoring device (120) under the bridge is used to detect the height and speed of vehicles about to enter the passage under the bridge. The lidar measuring device (11-1) of the vehicle monitoring device (11) on the bridge is used to detect the speed of vehicles traveling on the bridge surface.
4. The bridge collision early warning system for oversized vehicles according to claim 2, characterized in that, The bridge clearance monitor (122) is a laser ranging displacement sensor used to measure the clearance under the bridge.
5. The over-height vehicle collision warning system for bridges according to claim 1, characterized in that, The under-bridge over-height vehicle warning device (31) includes a first support rod (31-3), on which a first display screen (31-1) and a first warning light (31-2) connected to the data processing module (2) are provided.
6. The over-height vehicle collision warning system for bridges according to claim 1, characterized in that, The bridge warning device (32) includes a second support rod (32-1), on which a second display screen (32-3), a second warning light (32-2), and a loudspeaker (32-4) connected to the data processing module (2) are provided.
7. The over-height vehicle collision warning system for bridges according to claim 1, characterized in that, The bridge collapse prediction model (22) includes calculating the measured vehicle speed, vehicle weight, vehicle superelevation, vehicle impact location on the bridge, and bridge concrete strength parameters to obtain the predicted remaining bearing capacity of the bridge. Then, the predicted remaining bearing capacity of the bridge is compared with the vehicle load weight on the bridge to calculate the probability of bridge collapse.