Early warning system for over-high vehicle colliding with bridge

Abstract

The invention belongs to the technical field of bridge collision avoidance, and particularly relates to an ultrahigh vehicle collision bridge early warning system, which comprises a monitoring module, a data processing module and an early warning module, and is characterized in that the monitoring module and the early warning module are both connected with the data processing module; the monitoring module comprises an under-bridge monitoring unit and an on-bridge vehicle monitoring device which are connected with the data processing module, and the early warning module comprises an under-bridge over-height vehicle early warning device and an on-bridge early warning device which are connected with the data processing module; the data processing module comprises a bridge deformation prediction model and a bridge collapse prediction model, and the bridge deformation prediction model is used for predicting whether the under-bridge clearance at the moment when the under-bridge pre-passing vehicle reaches the bridge position meets the height of the under-bridge pre-passing vehicle; and predicting the residual bearing capacity of the bridge after the pre-passing vehicle collides with the bridge through the bridge collapse prediction model. The possibility that a vehicle collides with a bridge is greatly reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of bridge anti-collision, and in particular relates to an early warning system for super-high vehicles impacting bridges. Background Art

[0002] Due to the increase in the types and heights of vehicles, the widening and renovation of urban roads, and drivers' illegal operations, the designed clearance under some old bridges can no longer fully meet the needs of under-bridge traffic. Traffic accidents in which over-high vehicles collide with the superstructure of bridges often occur, causing local damage or even collapse of the beams, which not only affects normal road traffic, but also seriously threatens the lives and property of the people.

[0003] At present, in order to prevent super-high vehicles from hitting the superstructure of the bridge, most of them adopt the method of setting up height limit frames to prevent super-high vehicles from hitting the superstructure of the bridge. However, this method ignores the dynamic changes of the clearance under the bridge as the vehicles on the bridge travel, as well as the changes in the height of the height limit frame and the clearance under the bridge caused by special circumstances such as road subsidence, which may eventually lead to the inability of vehicles to pass through the bridge, resulting in accidents where super-high vehicles hit the superstructure of the bridge. Moreover, if a collision occurs, the current warning system can only warn vehicles and pedestrians under the bridge, but cannot issue collision warnings to vehicles and pedestrians on the bridge in a timely manner.

[0004] In view of this, the inventor provides an over-height vehicle collision bridge warning system to solve the above technical problems. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and propose an early warning system for super-high vehicle impacting a bridge. By setting a bridge deformation prediction model and a bridge collapse prediction model on the data processing module, the data measured by the vehicles on and under the bridge are transmitted to the bridge deformation prediction model and the bridge collapse prediction model, thereby predicting whether the pre-passing vehicle will impact the bridge and the possibility of bridge collapse. Finally, the possible collision is warned in advance through the super-high vehicle warning device under the bridge and the warning device on the bridge, the crowd on the bridge is evacuated in advance, and the super-high vehicle under the bridge is prompted to avoid large-scale casualties caused by the collision of super-high vehicles.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] The present invention provides an early warning system for an over-height vehicle impacting a bridge, comprising a monitoring module, a data processing module and an early warning module, wherein both the monitoring module and the early warning module are 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, and the early warning module includes an under-bridge overheight 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 underbridge 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 is used to predict whether the underbridge clearance at the moment when the pre-passing vehicle under the bridge arrives at the bridge position meets the height of the pre-passing vehicle under the bridge. If the height of the pre-passing vehicle is less than the underbridge clearance at this moment, the underbridge clearance at this moment meets the height of the pre-passing vehicle, and the over-height vehicle warning unit under the bridge does not issue a warning. Otherwise, the underbridge clearance at this moment cannot meet the height of the pre-passing vehicle, and the over-height vehicle warning unit under the bridge issues a warning. At the same time, the bridge collapse prediction model calculates the residual bearing capacity of the bridge after the pre-passing vehicle hits the bridge, and obtains the possibility of bridge collapse based on the residual bearing capacity. At the same time, the on-bridge warning device issues a warning.

[0010] Furthermore, the system also includes a height limit frame, and the underbridge monitoring unit includes an underbridge vehicle monitoring device respectively connected to the data processing module, a weighing sensor arranged on the road surface under the bridge, and an underbridge clearance monitor arranged on the height limit frame.

[0011] Further, the vehicle monitoring device under the bridge is the same as the vehicle monitoring device on the bridge;

[0012] The bridge vehicle monitoring device comprises a gantry bracket and a laser radar measuring device mounted on the gantry bracket, and the laser radar measuring device is connected to a data processing module;

[0013] The laser radar measuring device of the under-bridge vehicle monitoring device is used to detect the height and speed of the vehicle that is about to enter the under-bridge passage;

[0014] The laser radar measuring device of the vehicle monitoring device on the bridge is used to detect the speed of the vehicle traveling on the bridge deck.

[0015] Furthermore, the under-bridge clearance monitor is a laser ranging displacement sensor, which is used to measure the under-bridge clearance.

[0016] Furthermore, the over-height vehicle warning device under the bridge includes a first support rod, on which a first display screen and a first warning light connected to the data processing module are provided.

[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 provided.

[0018] Furthermore, the bridge deformation prediction model 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. The measured speed of the vehicle on the bridge and the speed of the vehicle passing under the bridge are used to predict the position of the vehicle on the bridge when the vehicle to be passed passes under the bridge. The prediction calculation process is as follows:

[0019] Assume that the time when the vehicle under the bridge passes through the monitoring device is T1, the vehicle speed is V1, and the distance between the vehicle monitoring device under the bridge and the bridge position is S1; the time when the vehicle on the bridge passes through the vehicle monitoring device on the bridge is T2, the vehicle speed is V2, and the predicted displacement value of the vehicle on the bridge is S2; the time difference between the vehicle on the bridge and the vehicle under the bridge arriving at their respective corresponding monitoring devices is t:

[0020] t=T1-T2(1)

[0021]

[0022] The predicted displacement value of the vehicle on the bridge, that is, the position of the vehicle on the bridge, is calculated by equations (1) and (2). According to the predicted displacement value of the vehicle on the bridge, the vehicle is added as a load 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 predicted whether the clearance under the bridge at this moment meets the height of the vehicle to be passed under the bridge.

[0023] Furthermore, the bridge collapse prediction model includes calculating the measured vehicle speed, vehicle weight, vehicle overheight value, vehicle impact position on the bridge and bridge concrete strength parameters to obtain the predicted residual bearing capacity of the bridge, and then calculating the possibility of bridge collapse by comparing the predicted residual bearing capacity of the bridge with the vehicle load weight on the bridge.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1) The present invention provides an early warning system for super-high vehicles hitting bridges. By setting a bridge deformation prediction model, a monitoring unit under the bridge, and a vehicle monitoring device on the bridge on the data processing module, it can accurately determine whether a vehicle will hit the upper structure of the bridge. Compared with traditional anti-collision measures, since the laser radar vehicle profile measurement system uses an image recognition method to measure vehicle data, it avoids height measurement errors caused by special circumstances such as road subsidence. At the same time, the bridge deformation prediction model takes into account the dynamic changes in the clearance under the bridge caused by the vehicle passing on the bridge, thereby greatly reducing the possibility of the vehicle hitting the bridge.

[0026] 2) The present invention provides an early warning system for an over-height vehicle impacting a bridge. By setting a bridge collapse prediction model, an under-bridge monitoring unit and an on-bridge vehicle monitoring device on a data processing module, the residual bearing capacity of the bridge can be calculated through vehicle speed, vehicle weight, vehicle overheight value, vehicle impact position on the bridge, and bridge concrete strength, thereby obtaining the possibility of bridge collapse. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The accompanying drawings are incorporated in and constitute a part of this specification and, together with the description, serve to explain the principles of the present invention.

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0029] Figure 1 It is a structural schematic diagram of the super-high vehicle collision bridge warning system of the present invention;

[0030] Figure 2 This is a flow chart of the super-high vehicle collision bridge warning system of the present invention;

[0031] Figure 3 It is a structural schematic diagram of a vehicle detection device on a bridge of an early warning system for an over-height vehicle impacting a bridge according to the present invention;

[0032] Figure 4 A schematic diagram of the height-limiting frame structure of the super-high vehicle collision bridge warning system of the present invention;

[0033] Figure 5 It is an over-height vehicle under-bridge warning device of the over-height vehicle collision bridge warning system of the present invention;

[0034] Figure 6 It is a bridge warning device of the super-high vehicle collision bridge warning system of the present invention;

[0035] Figure 7 This is a graph showing the results of calculating the residual bearing capacity using the bridge collapse prediction model of the present invention.

[0036] Among them: 1 is a monitoring module; 2 is a data processing module; 3 is an early warning module; 4 is a height limit frame; 11 is a vehicle monitoring device on the bridge; 12 is a monitoring unit under the bridge; 21 is a bridge deformation prediction model; 22 is a bridge collapse prediction model; 31 is an early warning device for super-high vehicles under the bridge; 32 is an early warning device on the bridge; 120 is a vehicle monitoring device under the bridge; 121 is a weighing sensor; 122 is a clearance monitor under the bridge; 11-1 is a laser radar measurer; 11-2 is a gantry bracket; 31-1 is a first display screen; 31-2 is a first early warning light; 31-3 is a first support rod; 32-1 is a second support rod; 32-2 is a second early warning light; 32-3 is a second display screen; 32-4 is a loudspeaker. DETAILED DESCRIPTION

[0037] Here, exemplary embodiments will be described in detail, and the embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are only examples consistent with some aspects of the present invention described in detail in the appended claims.

[0038] See also Figure 1 to Figure 6 , an embodiment of the present invention provides an early warning system for an over-height vehicle hitting a bridge, comprising 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, and the warning module 3 includes an under-bridge overheight vehicle warning device 31 and an on-bridge 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 underbridge monitoring unit 12 and the onbridge 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 underbridge clearance at the moment when the pre-passing vehicle under the bridge arrives at the bridge position meets the height of the pre-passing vehicle under the bridge, that is, whether the pre-passing vehicle will hit the bridge. If the height of the pre-passing vehicle is less than the underbridge clearance at this moment, the underbridge clearance at this moment meets the height of the pre-passing vehicle, and the over-height vehicle warning unit 31 under the bridge does not issue a warning. Otherwise, the underbridge clearance at this moment cannot meet the height of the pre-passing vehicle, and the over-height vehicle warning unit under the bridge issues a warning. At the same time, the bridge collapse prediction model 22 calculates the residual bearing capacity of the bridge after the pre-passing vehicle hits the bridge, and obtains the possibility of bridge collapse based on the residual bearing capacity. At the same time, the onbridge warning device 32 issues a warning.

[0041] like Figure 1 , 3As shown in , 4 , the system also includes a height limit frame 4 , and the underbridge monitoring unit 12 includes an underbridge vehicle monitoring device 120 respectively connected to the data processing module 2 , a weighing sensor 121 arranged on the road surface under the bridge, and an underbridge clearance monitor 122 arranged on the height limit frame 4 .

[0042] like Figure 3 As shown, the under-bridge vehicle monitoring device 120 and the on-bridge vehicle monitoring device 11 both include a gantry bracket 11-2 and a laser radar measuring device 11-1 installed on the gantry bracket 11-2, and the laser radar measuring device 11-1 is connected to the data processing module 2;

[0043] The laser radar measuring device 11-1 of the under-bridge vehicle monitoring device 120 is used to detect the height and speed of the vehicle that is about to enter the under-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 at the same time, it must meet the vehicle stopping sight distance determined by the speed limit of the road section where the bridge is located.

[0044] The laser radar measuring device 11 - 1 of the bridge vehicle monitoring device 11 is used to detect the speed of the vehicle traveling on the bridge deck.

[0045] Furthermore, the under-bridge clearance monitor 122 is a laser ranging displacement sensor for measuring the under-bridge clearance.

[0046] like Figure 5 As shown, the over-height vehicle warning device 31 under the bridge 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 early warning is required under the bridge, the data processing module 2 controls the first display screen 31-1 and the first early warning light 31-2 to display the license plate of the super-high vehicle on the first display screen 31-1, and the first early warning light 31-2 flashes red to warn the super-high vehicle that may collide.

[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 connected to the data processing module 2, a second warning light 32-2 and a loudspeaker 32-4 are provided.

[0049] In this embodiment, when an over-height vehicle may collide with a bridge, a vehicle collision warning and the possibility of bridge collapse 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. The measured speed of the vehicle on the bridge and the speed of the vehicle passing under the bridge are used to predict the position of the vehicle on the bridge when the vehicle to be passed passes under the bridge. The prediction calculation process is as follows:

[0051] Assume that the time when the vehicle under the bridge passes through the vehicle monitoring device 120 under the bridge is T1, the vehicle speed is V1, and the distance between the vehicle monitoring device 120 under the bridge and the bridge position is S1; the time when the vehicle on the bridge passes through the vehicle monitoring device 11 on the bridge is T2, the vehicle speed is V2, and the displacement prediction value of the vehicle on the bridge is S2; the time difference between the vehicle on the bridge and the vehicle under the bridge arriving at their respective corresponding monitoring devices is t:

[0052] t=T1-T2(1)

[0053]

[0054] The predicted displacement value of the vehicle on the bridge, i.e., the position of the vehicle on the bridge, is calculated by equations (1) and (2). According to 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 predicted 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 deformation of the bridge. The basic principle is to discretize the bridge structure into a finite number of small units, establish the expression of the node force and node displacement of each unit, and then reassemble the units into a complete structure according to the static equilibrium condition and the deformation coordination condition for solution calculation. The basic calculation process of this method is as follows: The equilibrium equation of the unit in the local coordinate system is:

[0056]

[0057] Unit node forces in local coordinate system;

[0058] Unit node displacement in local coordinate system;

[0059] Stiffness matrix of the local coordinate system element.

[0060] The local coordinate system is transformed into the global coordinate system:

[0061]

[0062] Fe: unit node force in the global coordinate system;

[0063] δe: unit node displacement 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 node displacement vector;

[0072] P: total node load vector;

[0073] Loads acting directly on nodes;

[0074] Equivalent nodal loads acting on internode loads.

[0075] Solving the above formulas, we can obtain the displacements and internal forces of all nodes. This is the basic calculation process of the finite element method.

[0076] Among them, the predicted displacement value of the vehicle on the bridge in formula (2) is the relative position of the vehicle on the bridge, and then the load is added to the corresponding position, which is the equivalent node load acting on the inter-node load

[0077] Furthermore, the bridge collapse prediction model 22 includes calculating the measured vehicle speed, vehicle weight, vehicle overheight value, vehicle collision position on the bridge and bridge concrete strength parameters to obtain the predicted residual bearing capacity of the bridge, and then calculating the possibility of bridge collapse by comparing the predicted residual bearing capacity of the bridge with the vehicle load weight on the bridge.

[0078] In this embodiment, the residual bearing capacity of the bridge is calculated by a finite element model.

[0079] In order to illustrate how the residual bearing capacity of the bridge is obtained, the present invention makes the following calculations. First, different vehicle speeds, vehicle weights, vehicle superelevation values, vehicle collision positions on the bridge, and bridge concrete strength parameters are measured, as shown in Table 1. Then, the residual bearing capacity of the bridge is calculated using a finite element model, as shown in Table 1. Figure 7 shown.

[0080] Table 1 Different parameter data obtained from actual measurements

[0081]

[0082] Working principle of the present invention: the data processing module 2 first obtains the relevant parameter data of the under-bridge vehicle and the under-bridge vehicle from the under-bridge monitoring unit 12 and the on-bridge vehicle monitoring device 11; then the data processing module 2 transmits the under-bridge vehicle speed and the on-bridge vehicle speed to the bridge deformation prediction model 21, and the bridge deformation prediction model 21 calculates the position of the vehicle on the bridge when the under-bridge vehicle to be passed arrives at the bridge position; further, the bridge deformation prediction model 21 calculates the deformation of the bridge when the under-bridge vehicle to be passed reaches the bridge position according to the obtained on-bridge vehicle position information; further, the bridge deformation prediction model 21 transmits the deformation data of the bridge and the load weight data of the on-bridge vehicle to the data processing module 2, and the data processing module 2 transmits the current bridge measured by the laser ranging displacement sensor to the bridge deformation prediction model 21; The lower clearance is subtracted from the deformation data of the bridge to obtain the height of the remaining space under the bridge when the vehicle expected to pass under the bridge reaches the bridge position. The data processing module 2 compares the height of the remaining space with the height of the vehicle to determine whether the vehicle will hit the bridge; when a collision occurs, the data processing module 2 transmits the load weight of the vehicle on the bridge, the speed of the vehicle under the bridge, the height of the vehicle under the bridge and the weight of the vehicle under the bridge to the bridge collapse prediction model 22. The bridge collapse prediction model 22 calculates the residual bearing capacity of the bridge, and compares the predicted residual bearing capacity of the bridge with the load weight of the vehicle on the bridge to obtain the possibility of bridge collapse. At the same time, the data processing module 2 transmits the possibility of bridge collapse to the super-high vehicle warning device 31 under the bridge and the warning device 32 on the bridge, and the two warning devices issue warning signals to relevant objects.

[0083] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention.

[0084] It should be understood that the present invention is not limited to what has been described above and that various modifications and changes may be made without departing from its scope. The scope of the present invention is limited only by the appended claims.

Claims

1. An early warning system for an over-height vehicle hitting a bridge, characterized in that: It comprises 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) comprises an under-bridge monitoring unit (12) and an on-bridge vehicle monitoring device (11) connected to the data processing module (2); the warning module (3) comprises an under-bridge overheight vehicle warning device (31) and an on-bridge warning device (32) connected to the data processing module (2); The data processing module (2) comprises a bridge deformation prediction model (21) and a bridge collapse prediction model (22). The underbridge monitoring unit (12) and the onbridge 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 underbridge clearance at the moment when the underbridge vehicle to be passed arrives at the bridge position satisfies the height of the underbridge vehicle to be passed. If the height of the underbridge vehicle to be passed is less than the underbridge clearance at that moment, the underbridge clearance at that moment satisfies the height of the underbridge vehicle to be passed, and the underbridge overheight vehicle warning unit (31) does not issue a warning. Otherwise, the underbridge clearance at that moment cannot satisfy the height of the underbridge vehicle to be passed, and the underbridge overheight vehicle warning unit (31) issues a warning. At the same time, the bridge collapse prediction model (22) calculates the residual bearing capacity of the bridge after the underbridge vehicle to be passed hits the bridge, and obtains the possibility of bridge collapse based on the residual bearing capacity. At the same time, the onbridge warning device (32) issues a warning.

2. The super-high vehicle collision bridge warning system according to claim 1 is characterized in that: The system also includes a height-limiting frame (4), and the underbridge monitoring unit (12) includes an underbridge vehicle monitoring device (120) respectively connected to the data processing module (2), a weighing sensor (121) arranged on the road surface under the bridge, and an underbridge clearance monitor (122) arranged on the height-limiting frame (4).

3. The super-high vehicle collision bridge warning system according to claim 2 is characterized in that: The under-bridge vehicle monitoring device (120) is the same as the on-bridge vehicle monitoring device (11); The bridge vehicle monitoring device (11) comprises a gantry bracket (11-2) and a laser radar measuring device (11-1) mounted on the gantry bracket (11-2), and the laser radar measuring device (11-1) is connected to a data processing module (2); The laser radar measuring device (11-1) of the under-bridge vehicle monitoring device (120) is used to detect the height and speed of the vehicle that is about to enter the under-bridge passage; The laser radar measuring device (11-1) of the on-bridge vehicle monitoring device (11) is used to detect the speed of vehicles traveling on the bridge deck.

4. The super-high vehicle collision bridge warning system according to claim 2 is characterized in that: The under-bridge clearance monitor (122) is a laser ranging displacement sensor, which is used to measure the under-bridge clearance.

5. The super-high vehicle collision bridge warning system according to claim 4 is characterized in that: The bridge deformation prediction model (21) is based on a finite element model. According to the actual situation, the boundary conditions of the target bridge are added to the finite element model. The measured speed of the vehicle on the bridge and the speed of the vehicle passing under the bridge are used to predict the position of the vehicle on the bridge when the vehicle to be passed passes under the bridge. The prediction calculation process is as follows: Assume that the time when the vehicle under the bridge passes through the underbridge vehicle monitoring device (120) is T1, the vehicle speed is V1, and the distance between the underbridge vehicle monitoring device (120) and the bridge position is S1; the time when the vehicle on the bridge passes through the onbridge vehicle monitoring device (11) is T2, the vehicle speed is V2, and the displacement prediction value of the vehicle on the bridge is S2; the time difference between the vehicle on the bridge and the vehicle under the bridge arriving at their respective corresponding monitoring devices is t: t=T1-T2 (1) The predicted displacement value of the vehicle on the bridge, i.e. the position of the vehicle on the bridge, is calculated by equations (1) and (2). According to the predicted displacement value of the vehicle on the bridge, the vehicle is added as a load to the corresponding position of the bridge in the established bridge finite element model. The finite element model is solved to calculate the deformation data of the bridge. 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 expected to pass under the bridge reaches the bridge position, and finally it is predicted whether the clearance under the bridge at this moment meets the height of the vehicle expected to pass under the bridge.

6. The super-high vehicle collision bridge warning system according to claim 1 is characterized in that: The over-height vehicle warning device (31) under the bridge comprises 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 arranged.

7. The super-high vehicle collision bridge warning system according to claim 1 is characterized in that: The bridge warning device (32) comprises a second support rod (32-1), on which a second display screen (32-3) connected to the data processing module (2), a second warning light (32-2) and a loudspeaker (32-4) are arranged.

8. The super-high vehicle collision bridge warning system according to claim 1 is characterized in that: The bridge collapse prediction model (22) comprises calculating the measured vehicle speed, vehicle weight, vehicle overheight value, vehicle collision position on the bridge and bridge concrete strength parameters to obtain the predicted bridge residual bearing capacity, and then calculating the possibility of bridge collapse by comparing the predicted bridge residual bearing capacity with the vehicle load weight on the bridge.

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