Bridge BIM operation and maintenance intelligent system based on human-computer interaction

Abstract

The invention discloses a bridge BIM operation and maintenance intelligent system based on human-computer interaction, and belongs to the technical field of bridge management, and the system can construct a bridge initial model based on a BIM technology in a bridge operation and maintenance platform, the bridge operation and maintenance platform receives bridge data information uploaded in a communication module and updates the BIM bridge model in real time, and the BIM bridge model is updated in real time. The bridge operation and maintenance platform evaluates the health condition of the bridge according to the data information acquired in the data acquisition module, carries out real-time maintenance on the bridge through the maintenance end, and carries out current limiting on vehicles on the bridge floor when a train passes normally, so that the damage to the bridge floor is reduced; according to the system, ships close to the dangerous area of the bridge can be monitored through the water surface early warning module, the probability of bridge collision accidents is reduced, and when a traffic accident occurs on the bridge floor, the maintenance end can quickly deal with the traffic accident site, and traffic jam is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge management, and in particular to a bridge BIM operation and maintenance intelligent system based on human-computer interaction. Background Art

[0002] The current bridge operation and maintenance management only manages bridges for car traffic, but it cannot be applied to multi-bridge structures, such as the bridge structure of a highway-railway dual-use bridge. When a traffic accident occurs on a highway, the traffic police usually use road blockades to deal with the accident scene. However, bridges are important traffic arteries, and long-term blockades of the scene will cause road congestion and increased traffic volume, especially during peak hours in the morning and evening.

[0003] For example, Chinese patent CN112726432A discloses a bridge operation and maintenance method, device, system, computer equipment and storage medium. The bridge operation and maintenance method includes: establishing a condition assessment model; acquiring bridge monitoring data in real time, and establishing a digital twin model of the condition assessment model based on the acquired bridge monitoring data; controlling a wall-climbing robot to inspect and repair a target bridge according to the output results of the digital twin model; and updating the digital twin model according to the inspection and repair results of the wall-climbing robot.

[0004] The bridge operation and maintenance method provided by this technology monitors the entire life cycle of the bridge by establishing a condition assessment model and collecting bridge monitoring data in real time. However, this method has limitations. It cannot adapt to the bridge structure of a dual-use highway and railway bridge, cannot remind ships close to the bridge piers to stay away, and cannot judge and handle accident scenes occurring on the bridge deck.

[0005] Based on this, the present invention designs a bridge BIM operation and maintenance intelligent system based on human-computer interaction to solve the above problems. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a bridge BIM operation and maintenance intelligent system based on human-computer interaction.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] A bridge BIM operation and maintenance intelligent system based on human-computer interaction includes a central control module and the following parts:

[0009] Data acquisition module, which is used to collect bridge deck information, bridge vibration amplitude data information, and vehicle speed and location information and upload them to the central control module, which integrates and analyzes the information and sends it to the bridge deck vehicle guidance module, bridge deck accident handling module, and communication module;

[0010] A bridge deck accident processing module is used to receive the location information of the accident vehicle from the data acquisition module and process the accident scene;

[0011] The surface warning module is used to collect and determine the position information of the ship and upload the position information to the central control module;

[0012] A communication module, used to receive data information from the central control module and send it to the bridge operation and maintenance platform;

[0013] Bridge operation and maintenance platform, input the initial data information of the bridge into the bridge operation and maintenance platform, complete the bridge data construction, convert the three-dimensional image of the bridge into a two-dimensional image, and build the initial bridge model based on BIM technology. The bridge operation and maintenance platform receives the bridge data information uploaded in the communication module and updates the BIM bridge model in real time. The bridge operation and maintenance platform can update the train travel time in real time, and upload the train travel time data information to the central control module. The central control module receives the train travel time data information and transmits it to the bridge deck vehicle guidance module;

[0014] The bridge deck vehicle guidance module is used to receive the bridge deck data information and the train passing time data information from the central control module and analyze the bridge deck vehicle flow situation, and perform traffic guidance processing on the vehicles on the bridge deck when there is a train passing;

[0015] The bridge assessment module receives the updated BIM bridge model in the bridge operation and maintenance platform, and assesses the health status of the bridge based on the original data of the bridge in the database and uploads it to the bridge operation and maintenance platform;

[0016] The bridge determination module is used to receive the assessment information from the bridge operation and maintenance platform, determine the damage of the bridge, and upload the data information to the bridge operation and maintenance platform. If the bridge determination module determines that the bridge needs maintenance, the bridge operation and maintenance platform will send information to the maintenance end;

[0017] Database, used to store all initial data information of the bridge after it is built;

[0018] The maintenance end is used to receive the judgment information of the bridge from the bridge operation and maintenance platform and notify professionals to come for maintenance;

[0019] The central control module is electrically connected to the data acquisition module, the bridge deck vehicle guidance module, the bridge deck accident handling module, and the water surface warning module. The central control module is wirelessly connected to the communication module, the communication module is wirelessly connected to the bridge operation and maintenance platform, and the bridge operation and maintenance platform is wirelessly connected to the maintenance end.

[0020] Furthermore, the data acquisition module includes a counting module, a vibration detection module, a high-definition camera and an inspection drone; the counting module, the vibration detection module and the high-definition camera are all electrically connected to the central control module, and the inspection drone is wirelessly connected to the communication module.

[0021] Furthermore, the counting module is fixedly installed on the bridge to detect the number of cars passing in a unit time;

[0022] The vibration detection module is fixedly installed on the bridge and is used to detect the vibration of the bridge column when the train passes;

[0023] The high-definition camera is fixedly installed above the bridge deck to monitor the conditions of vehicles traveling on the bridge deck;

[0024] The inspection drone regularly inspects the health of the bridge, and when an accident occurs on the bridge deck, the inspection drone can arrive at the scene in time, negotiate with the accident personnel, record the cause of the accident, take pictures and upload the data information of the scene pictures to the central control module;

[0025] The counting module, vibration detection module, high-definition camera, and inspection drone collect relevant data information of the bridge deck machine vehicle and upload the data to the central control module for processing, and the central control module uploads the data information to the bridge operation and maintenance platform.

[0026] Furthermore, the bridge deck vehicle guidance module includes a travel time integration module, a vehicle flow determination module and a notification module, and the travel time integration module, the vehicle flow determination module and the notification module are all electrically connected to the central control module.

[0027] Furthermore, the travel time integration module receives the data information of the train travel time uploaded by the central control module, and then sorts out the time period of more than or equal to five trains passing within thirty minutes on the same day, and uploads this time period to the central control module;

[0028] The vehicle flow determination module receives the data information of the bridge surface vehicles collected by the central control module and determines the data information:

[0029] If the counting module 21 detects that the number of vehicles passing through a certain point on the bridge within three minutes exceeds 10, it determines that the traffic volume is large, and uploads this data information to the central control module. The central control module uploads the data information of the large traffic volume to the notification module, and the notification module reminds the toll station to limit the flow of vehicles during the time period when multiple trains pass.

[0030] Furthermore, the bridge deck accident handling module includes an accident judgment module, a vehicle moving robot and a time calculation module. The accident judgment module and the time calculation module are both electrically connected to the central control module, and the vehicle moving robot is wirelessly connected to the communication module.

[0031] Furthermore, the accident judgment module is used to judge the type of accident, the vehicle moving robot is used to move the accident vehicle, and the time calculation module is used to calculate the bridge deck repair time;

[0032] The accident judgment module judges the traffic accident, and the specific steps of the judgment are as follows:

[0033] The high-definition camera takes pictures of the accident scene and then uploads them to the central control module, which processes the accident scene and uploads the data information to the accident judgment module;

[0034] The accident judgment module determines whether a vehicle has fallen into the water based on the image information;

[0035] If the accident judgment module does not find the image information of the vehicle falling into the water, it is an accident on the bridge deck;

[0036] The accident judgment module analyzes and judges the accident on the bridge deck. If the image information involves only two vehicles or one vehicle, and the area occupied is not large, and the vehicle is slightly worn, the accident judgment module will judge it as a minor accident;

[0037] For minor accidents, the accident judgment module uploads the judgment results to the central control module, which sends instructions to the inspection drone through the communication module to negotiate with the accident personnel and understand the cause of the accident. The inspection drone also takes photos of the accident scene and reminds the accident personnel to move the vehicle to a safe place.

[0038] If the image information involves more than two but less than four vehicles, the area occupied is not large, but the vehicles are severely worn, the accident judgment module determines that it is a general accident;

[0039] For general accidents, the accident judgment module uploads the judgment results to the central control module, which sends instructions to the inspection drone through the communication module to negotiate with the accident personnel and understand the cause of the accident. The inspection drone takes photos of the accident scene for preservation. The central control module also sends a moving instruction to the vehicle moving robot through the communication module. The vehicle moving robot moves the personnel and vehicles to a safe place and notifies the relevant department personnel to carry out rescue.

[0040] If the image information involves more than four vehicles, the accident is complex, and covers a large area, the accident judgment module will judge it as a major accident;

[0041] For major accidents, the accident judgment module uploads the judgment results to the central control module, which sends instructions to the inspection drone through the communication module to inspect the scene and understand the cause of the accident. The central control module also sends the accident scene to the toll station, so that the toll station blocks the road and waits for the traffic police to arrive at the scene to handle the situation. The inspection drone also checks the road surface.

[0042] The central control module receives data information from the accident judgment module, and according to the bridge deck collision position detected by the inspection drone, the central control module uploads the image information of the bridge deck collision position to the time calculation module, and the time calculation module determines the bridge deck repair time according to the image information of the collision position, and determines whether the collision position area exceeds 5% of the bridge deck;

[0043] If the area of ​​the damaged position does not exceed 5% of the bridge deck, the time calculation module determines that the bridge deck repair time is 2 days;

[0044] If the area of ​​the damaged position exceeds 5% of the bridge deck, the time calculation module determines that the vehicle's travel time is more than 10 days;

[0045] If the accident judgment module finds image information of the vehicle falling into the water, the accident judgment module determines that it is a car accident falling into the water;

[0046] If there are other collision vehicles in the bridge deck image information, the accident judgment module will judge it as a collision accident based on the image information, and the vehicle that fell into the water accidentally broke the bridge column and flew into the lake;

[0047] The accident judgment module uploads the judgment result to the central control module. The central control module sends instructions to the inspection drone through the communication module to negotiate with the accident personnel on the bridge deck and understand the cause of the accident. The inspection drone takes photos of the accident scene for preservation. The inspection drone carries life-saving equipment and throws it into the water to provide rescue personnel for salvage and rescue. The inspection drone takes photos of the accident scene on the bridge deck for preservation. The central control module controls the vehicle moving robot through the communication module to move the personnel and vehicles on the bridge deck to a safe place.

[0048] If there are no other collision vehicles on the bridge, the accident judgment module will determine that the vehicle fell into the water due to its own reasons;

[0049] The accident judgment module uploads the judgment result to the central control module, and the central control module sends instructions to the inspection drone through the communication module. The inspection drone takes photos of the accident scene and stores them. The inspection drone also carries life-saving equipment and throws it into the water to provide rescue personnel with salvage and rescue.

[0050] After the bridge column is damaged, the accident judgment module uploads the data information of the accident to the central control module, and the high-definition camera and inspection drone upload the pictures of the damaged bridge to the central control module. The central control module collects the accident information and bridge deck damage information and uploads it to the bridge operation and maintenance platform through the communication module. The bridge assessment module compares the picture information received by the bridge operation and maintenance platform with the data information in the database, and evaluates the condition of the bridge. If the similarity of the pictures in the corresponding section is less than 80%, the bridge judgment module determines that the bridge needs repair, and the bridge operation and maintenance platform will send the bridge maintenance instruction to the central control module. When the central control module receives the maintenance instruction, it will notify the toll station to block the road. The bridge operation and maintenance platform uploads the data information of the damaged bridge deck to the maintenance end, and the maintenance end sends people to the site for repair.

[0051] Furthermore, the surface warning module includes a millimeter-wave radar, a horn and a ship position determination module. The millimeter-wave radar, the horn and the ship position determination module are all electrically connected to the central control module. Multiple millimeter-wave radars and horns are provided and fixedly installed on the bridge piers.

[0052] Furthermore, the millimeter wave radar sends a frequency sweep signal of a FMCW (full name: Frequency Modulated Continuous Wave, i.e., a frequency modulated continuous signal) waveform through a transmitting antenna TX;

[0053] The receiving antenna RX of the millimeter-wave radar receives the signal reflected by the target from the swept-frequency signal of the FMCW waveform, and mixes it with the swept-frequency signal of the FMCW waveform to obtain the IF (full name: Intermediate Frequency) intermediate frequency signal, and obtains ADC data after analog-to-digital conversion.

[0054] The millimeter wave radar collects the data information of the ship's position and transmits it to the central control module 1. The central control module performs 1DFFT (one-dimensional fast Fourier transform) and 2DFFT (two-dimensional fast Fourier transform) on the ADC data to obtain the 1D spectrum and 2D spectrum of the IF intermediate frequency signal, thereby obtaining the direction and distance information of the ship;

[0055] After obtaining the target ship's direction and distance, the target ship is converted into coordinates, and the polar coordinates are changed into rectangular coordinates (x, y). The conversion formula is:

[0056] x = Range * sin (angle);

[0057] y = Range * cos (angle);

[0058] Among them, Range is the distance and angle is the direction.

[0059] The alarm area range is set in the central control module, and the ship position determination module analyzes whether the coordinate value (x, y) of the ship is within the alarm area and then uploads the result of the data analysis to the central control module 1;

[0060] If the ship position determination module determines that the ship is in the alarm area, the central control module will immediately notify the ship through the loudspeaker to stay away from the bridge.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] The present invention can construct an initial bridge model based on BIM technology in the bridge operation and maintenance platform. The bridge operation and maintenance platform receives the bridge data information uploaded in the communication module and updates the BIM bridge model in real time. The bridge operation and maintenance platform evaluates the health status of the bridge according to the data information collected in the data acquisition module, and performs real-time maintenance on the bridge through the maintenance end. When the train passes normally, the flow of vehicles on the bridge deck is limited to reduce damage to the bridge deck; the water surface early warning module can be used to monitor ships close to the dangerous area of ​​the bridge to reduce the probability of bridge collision accidents; and when a car accident occurs on the bridge deck, the inspection drone and the car moving robot will quickly rush to the accident scene to negotiate with the accident personnel, take pictures of the accident scene and move the car to avoid traffic jams, and notify professionals through the maintenance end to quickly repair the road surface to ensure the health status of the bridge. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] 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 prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0064] Figure 1 The overall framework of the bridge BIM operation and maintenance intelligent system based on human-computer interaction of the present invention is Figure 1 ;

[0065] Figure 2 The overall framework of the bridge BIM operation and maintenance intelligent system based on human-computer interaction of the present invention is Figure 2 ;

[0066] Figure 3 It is a schematic diagram of the bridge body of the present invention;

[0067] Figure 4 It is a schematic diagram of the ship warning position and bridge position of the present invention.

[0068] The numbers in the figure represent:

[0069] 1. Central control module; 2. Data acquisition module; 21. Counting module; 22. Vibration detection module; 23. High-definition camera; 24. Inspection drone; 3. Bridge vehicle guidance module; 31. Passing time integration module; 32. Traffic flow judgment module; 33. Notification module; 4. Bridge accident handling module; 41. Accident judgment module; 42. Vehicle moving robot; 43. Time calculation module; 5. Water surface warning module; 51. Millimeter wave radar; 52. Horn; 53. Vessel position judgment module; 6. Communication module; 7. Bridge operation and maintenance platform; 8. Bridge evaluation module; 9. Bridge judgment module; 10. Database; 11. Maintenance end. DETAILED DESCRIPTION

[0070] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] Embodiment 1

[0072] In some embodiments, please refer to the attached instructions. Figure 1 , a bridge BIM operation and maintenance intelligent system based on human-computer interaction, including a central control module 1, and also including the following parts;

[0073] Data acquisition module 2, which is used to collect bridge deck information, bridge vibration amplitude data information, and vehicle speed information and location information and upload them to central control module 1, which integrates and analyzes the information and sends it to bridge deck vehicle guidance module 3, bridge deck accident handling module 4, and communication module 6;

[0074] The bridge deck accident processing module 4 is used to receive the location information of the accident vehicle from the data acquisition module 2 and process the accident scene;

[0075] The surface warning module 5 is used to collect and determine the position information of the ship and upload the position information to the central control module 1;

[0076] Communication module 6, used to receive data information in central control module 1 and send it to bridge operation and maintenance platform 7;

[0077] The bridge operation and maintenance platform 7 inputs the initial data information of the bridge into the bridge operation and maintenance platform 7, completes the bridge data construction, and converts the three-dimensional image of the bridge into a two-dimensional image, constructs the initial bridge model based on the BIM (Building Information Modeling) technology, the bridge operation and maintenance platform 7 receives the bridge data information uploaded in the communication module 6 and updates the BIM bridge model in real time, the bridge operation and maintenance platform 7 can update the train travel time in real time, and upload the train travel time data information to the central control module 1, the central control module 1 receives the train travel time data information and transmits it to the bridge deck vehicle guidance module 3;

[0078] The bridge deck vehicle guidance module 3 is used to receive the bridge deck data information and the train passing time data information in the central control module 1 and analyze the bridge deck vehicle flow situation, and perform traffic guidance processing on the vehicles on the bridge deck when there is a train passing;

[0079] The bridge evaluation module 8 receives the updated BIM bridge model in the bridge operation and maintenance platform 7, and evaluates the health status of the bridge according to the original data of the bridge in the database 10 and uploads it to the bridge operation and maintenance platform 7;

[0080] The bridge determination module 9 is used to receive the evaluation information from the bridge operation and maintenance platform 7 and determine the damage of the bridge, and upload the data information to the bridge operation and maintenance platform 7. If the bridge determination module 9 determines that the bridge needs to be repaired, the bridge operation and maintenance platform 7 will send information to the maintenance terminal 11;

[0081] Database 10, used to store all initial data information of the bridge after it is built;

[0082] The maintenance terminal 11 is used to receive the judgment information of the bridge from the bridge operation and maintenance platform 7 and notify the professionals to come for maintenance;

[0083] The central control module 1 is electrically connected to the data acquisition module 2, the bridge deck vehicle guidance module 3, the bridge deck accident processing module 4, and the water surface warning module 5. The central control module 1 is wirelessly connected to the communication module 6, the communication module 6 is wirelessly connected to the bridge operation and maintenance platform 7, and the bridge operation and maintenance platform 7 is wirelessly connected to the maintenance end 11.

[0084] The present invention can construct an initial bridge model based on BIM technology in the bridge operation and maintenance platform 7. The bridge operation and maintenance platform 7 receives the bridge data information uploaded in the communication module 6 and updates the BIM bridge model in real time. The bridge operation and maintenance platform 7 evaluates the health status of the bridge according to the data information collected in the data acquisition module 2, and performs real-time maintenance on the bridge through the maintenance terminal 11. When the train passes normally, the flow of vehicles on the bridge deck is limited to reduce damage to the bridge deck; the water surface early warning module 5 can be used to monitor ships close to the dangerous area of ​​the bridge to reduce the probability of bridge collision accidents, and when a traffic accident occurs on the bridge deck, the maintenance terminal 11 will quickly process the accident scene to avoid traffic jams.

[0085] Embodiment 2

[0086] In some embodiments, Figure 2 , Figure 3 and Figure 4 As shown, as a preferred embodiment of the present invention, the data acquisition module 2 includes a counting module 21, a vibration detection module 22, a high-definition camera 23 and an inspection drone 24; the counting module 21, the vibration detection module 22 and the high-definition camera 23 are all electrically connected to the central control module 1, and the inspection drone 24 is wirelessly connected to the communication module 6.

[0087] The counting module 21 is fixedly installed on the bridge and is used to detect the number of cars passing by in a unit time;

[0088] The vibration detection module 22 is fixedly installed on the bridge and is used to detect the vibration of the bridge column when the train passes;

[0089] The high-definition camera 23 is fixedly installed above the bridge deck to monitor the status of vehicles traveling on the bridge deck;

[0090] The inspection drone 24 regularly inspects the health of the bridge, and when an accident occurs on the bridge deck, the inspection drone 24 can arrive at the scene in time, negotiate with the accident personnel, record the cause of the accident, take pictures and record, and upload the data information of the scene pictures to the central control module 1;

[0091] The counting module 21, vibration detection module 22, high-definition camera 23, and inspection drone 24 collect relevant data information of the bridge deck machine vehicle and upload the data to the central control module 1 for processing, and the central control module 1 uploads the data information to the bridge operation and maintenance platform 7.

[0092] The bridge deck vehicle guidance module 3 includes a travel time integration module 31 , a vehicle flow determination module 32 and a notification module 33 . The travel time integration module 31 , the vehicle flow determination module 32 and the notification module 33 are all electrically connected to the central control module 1 .

[0093] The travel time integration module 31 receives the data information of the train travel time uploaded by the central control module 1, and then sorts out the time period when more than or equal to five trains pass within thirty minutes on the same day, and uploads this time period to the central control module 1;

[0094] The vehicle flow determination module 32 receives the data information of the bridge surface vehicles collected by the central control module 1 and determines the data information:

[0095] If the number of vehicles at a certain point on the bridge exceeds the set number of vehicles within a unit time, it is judged that the traffic volume is large; for example, if the counting module 21 detects that the number of vehicles passing a certain point on the bridge within three minutes exceeds 10, it is judged that the traffic volume is large, and this data information is uploaded to the central control module 1. The central control module 1 uploads the data information of the large traffic volume to the notification module 33, and the notification module 33 reminds the toll station to limit the flow of vehicles during the time period when multiple trains pass.

[0096] The bridge deck accident processing module 4 includes an accident judgment module 41 , a vehicle moving robot 42 and a time calculation module 43 . The accident judgment module 41 and the time calculation module 43 are both electrically connected to the central control module 1 , and the vehicle moving robot 42 is wirelessly connected to the communication module 6 .

[0097] The accident judgment module 41 is used to judge the type of accident, the vehicle moving robot 42 is used to move the accident vehicle, and the time calculation module 43 is used to calculate the bridge deck repair time;

[0098] The accident judgment module 41 judges the traffic accident, and the specific steps of the judgment are as follows:

[0099] The high-definition camera 23 takes a picture of the accident scene and then uploads it to the central control module 1, which processes the accident scene and uploads the data information to the accident judgment module 41;

[0100] The accident judgment module 41 judges whether a vehicle has fallen into the water according to the image information;

[0101] If the accident determination module 41 does not find the image information of the vehicle falling into the water, it is an accident on the bridge deck;

[0102] The accident judgment module 41 analyzes and judges the accident on the bridge deck. If the image information involves only two vehicles or one vehicle, and the area occupied is not large, and the vehicle is slightly worn, the accident judgment module 41 judges it as a minor accident;

[0103] For minor accidents, the accident judgment module 41 uploads the judgment result to the central control module 1, and the central control module 1 sends instructions to the inspection drone 24 through the communication module 6 to negotiate with the accident personnel and understand the cause of the accident. The inspection drone 24 also takes photos of the accident scene and reminds the accident personnel to move the vehicle to a safe place;

[0104] If the image information involves more than two and less than four vehicles, the area occupied is not large, but the vehicles are seriously worn, then the accident determination module 41 determines that it is a general accident;

[0105] For general accidents, the accident judgment module 41 uploads the judgment result to the central control module 1, and the central control module 1 sends instructions to the inspection drone 24 through the communication module 6 to negotiate with the accident personnel and understand the cause of the accident. The inspection drone 24 takes photos of the accident scene for preservation. The central control module 1 also sends a moving instruction to the vehicle moving robot 42 through the communication module 6. The vehicle moving robot 42 moves the personnel and vehicles to a safe place and notifies the relevant department personnel to carry out rescue.

[0106] If the image information involves more than four vehicles, the accident is complex, and covers a large area, the accident determination module 41 determines that it is a major accident;

[0107] For major accidents, the accident judgment module 41 uploads the judgment result to the central control module 1, and the central control module 1 sends instructions to the inspection drone 24 through the communication module 6 to inspect the scene and understand the cause of the accident. The central control module 1 also sends the accident scene to the toll station, so that the toll station blocks the road and waits for the traffic police to arrive at the scene to handle the situation. The inspection drone 24 also checks the road surface;

[0108] The central control module 1 receives data information from the accident judgment module 41, and according to the bridge deck collision position detected by the inspection drone 24, the central control module 1 uploads the image information of the bridge deck collision position to the time calculation module 43, and the time calculation module 43 determines the bridge deck repair time according to the image information of the collision position, and determines whether the collision position area exceeds 5% of the bridge deck;

[0109] If the area of ​​the damaged position does not exceed 5% of the bridge deck, the time calculation module 43 determines that the bridge deck repair time is 2 days;

[0110] If the damaged area exceeds 5% of the bridge deck, the time calculation module 43 determines that the vehicle's travel time is more than 10 days: the bridge deck repair time requires a certain amount of time, and it is necessary to determine whether there are other problems with the bridge deck. Only after the problems are checked can the vehicle be allowed to pass.

[0111] If the accident determination module 41 finds the image information of the vehicle falling into the water, the accident determination module 41 determines that it is a car accident falling into the water;

[0112] If there are other collision vehicles in the bridge surface image information, the accident judgment module 41 judges it as a collision accident based on the image information, and the vehicle that fell into the water accidentally broke the bridge column and flew into the lake;

[0113] The accident judgment module 41 uploads the judgment result to the central control module 1, and the central control module 1 sends instructions to the inspection drone 24 through the communication module 6 to negotiate with the bridge accident personnel and understand the cause of the accident. The inspection drone 24 will take photos of the accident scene for preservation. The inspection drone 24 will carry life-saving equipment and throw it into the water to provide rescue personnel for salvage and rescue. The inspection drone 24 will take photos of the bridge accident scene for preservation, and the central control module 1 controls the vehicle moving robot 42 through the communication module 6 to move the bridge personnel and vehicles to a safe place;

[0114] If there is no other collision vehicle on the bridge, the accident judgment module 41 judges that the vehicle fell into the water due to its own reasons.

[0115] The accident judgment module 41 uploads the judgment result to the central control module 1, and the central control module 1 sends instructions to the inspection drone 24 through the communication module 6. The inspection drone 24 takes photos of the accident scene for preservation, and the inspection drone 24 will also carry life-saving equipment and throw it into the water to provide it to rescue personnel for salvage and rescue.

[0116] After the bridge column is damaged, the accident judgment module 41 uploads the data information of the accident to the central control module 1, the high-definition camera 23 and the inspection drone 24 upload the picture of the damaged bridge to the central control module 1, the central control module 1 collects the accident information and the bridge deck damage information and uploads it to the bridge operation and maintenance platform 7 through the communication module 6, the bridge evaluation module 8 compares the picture information received by the bridge operation and maintenance platform 7 with the data information in the database 10, and evaluates the condition of the bridge. If the similarity of the pictures in the corresponding section is less than 80%, the bridge judgment module 9 determines that the bridge needs to be repaired, and the bridge operation and maintenance platform 7 will send the bridge maintenance instruction to the central control module 1. Upon receiving the maintenance instruction, the central control module 1 will notify the toll station to block the road. The bridge operation and maintenance platform 7 uploads the data information of the bridge deck damage to the maintenance terminal 11, and the maintenance terminal 11 sends people to the site for repair.

[0117] The water surface warning module 5 includes a millimeter wave radar 51, a speaker 52 and a ship position judgment module 53. The millimeter wave radar 51, the speaker 52 and the ship position judgment module 53 are all electrically connected to the central control module 1. Multiple millimeter wave radars 51 and speakers 52 are provided and fixedly installed on the bridge pier.

[0118] The millimeter wave radar 51 sends a frequency sweep signal of FMCW (Frequency Modulated Continuous Wave, i.e., a frequency modulated continuous signal) waveform through a transmitting antenna TX;

[0119] The receiving antenna RX of the millimeter wave radar 51 receives the signal reflected by the target from the swept frequency signal of the FMCW waveform, and mixes it with the swept frequency signal of the FMCW waveform to obtain an IF (full name: Intermediate Frequency) intermediate frequency signal, and obtains ADC data after analog-to-digital conversion.

[0120] The millimeter wave radar 51 collects data information of the ship's position and transmits it to the central control module 1. The central control module 1 performs 1DFFT (one-dimensional fast Fourier transform) and 2DFFT (two-dimensional fast Fourier transform) on the ADC data to obtain the 1D spectrum and 2D spectrum of the IF intermediate frequency signal, thereby obtaining the direction and distance information of the ship;

[0121] After obtaining the target ship's direction and distance, the target ship is converted into coordinates, and the polar coordinates are changed into rectangular coordinates (x, y). The conversion formula is:

[0122] x = Range * sin (angle);

[0123] y = Range * cos (angle);

[0124] Among them, Range is the distance and angle is the direction.

[0125] In the central control module 1, the radius of the alarm area is set with the corresponding millimeter wave radar 51 as the center of the circle, and the ship position determination module 53 analyzes whether the coordinate value (x, y) of the ship is within the alarm area and then uploads the result of the data analysis to the central control module 1;

[0126] If the ship position determination module 53 determines that the ship is in the alarm area, the central control module 1 immediately notifies the ship to stay away from the bridge through the speaker 52 .

[0127] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A bridge BIM operation and maintenance intelligent system based on human-computer interaction, comprising a central control module (1), characterized in that: Also includes the following sections: A data acquisition module (2), the data acquisition module (2) is used to collect bridge deck information, bridge vibration amplitude data information, and vehicle speed information and position information and upload them to the central control module (1); the central control module (1) integrates and analyzes the information and sends it to the bridge deck vehicle guidance module (3), the bridge deck accident processing module (4), and the communication module (6); A bridge accident processing module (4) is used to receive the location information of the accident vehicle from the data acquisition module (2) and process the accident scene; A surface warning module (5) is used to collect and determine the position information of the ship and upload the position information to the central control module (1); A communication module (6) is used to receive data information in the central control module (1) and send it to the bridge operation and maintenance platform (7); A bridge operation and maintenance platform (7) is provided. Initial data information of the bridge is inputted into the bridge operation and maintenance platform (7), the bridge data structure is completed, and the three-dimensional image of the bridge is converted into a two-dimensional image, so as to construct an initial model of the bridge based on BIM technology. The bridge operation and maintenance platform (7) receives the bridge data information uploaded by the communication module (6) and updates the BIM bridge model in real time. The bridge operation and maintenance platform (7) can update the train travel time in real time, and upload the train travel time data information to the central control module (1). The central control module (1) receives the train travel time data information and transmits it to the bridge deck vehicle guidance module (3); A bridge deck vehicle guidance module (3) is used to receive the bridge deck data information and train passage time data information in the central control module (1), analyze the bridge deck vehicle flow situation, and perform traffic guidance processing on the vehicles on the bridge deck when a train passes; A bridge evaluation module (8), the bridge evaluation module (8) receives the updated BIM bridge model in the bridge operation and maintenance platform (7), and evaluates the health status of the bridge according to the original data of the bridge in the database (10) and uploads it to the bridge operation and maintenance platform (7); A bridge determination module (9) is used to receive the evaluation information in the bridge operation and maintenance platform (7), determine the damage of the bridge, and upload the data information to the bridge operation and maintenance platform (7); if the bridge determination module (9) determines that the bridge needs maintenance, the bridge operation and maintenance platform (7) will send information to the maintenance end (11); A database (10) is used to store all initial data information of the bridge after it is built; The maintenance terminal (11) is used to receive the judgment information on the bridge from the bridge operation and maintenance platform (7) and notify professionals to come for maintenance; The central control module (1) is connected to the data acquisition module (2), the bridge deck vehicle guidance module (3), the bridge deck accident processing module (4), and the water surface warning module (5); the central control module (1) is connected to the communication module (6) by wireless communication; the communication module (6) is connected to the bridge operation and maintenance platform (7) by wireless communication; and the bridge operation and maintenance platform (7) is connected to the maintenance end (11) by wireless communication.

2. The bridge BIM operation and maintenance intelligent system based on human-computer interaction according to claim 1 is characterized in that: The data acquisition module (2) comprises a counting module (21), a vibration detection module (22), a high-definition camera (23) and an inspection drone (24); the counting module (21), the vibration detection module (22) and the high-definition camera (23) are all electrically connected to the central control module (1), and the inspection drone (24) is wirelessly connected to the communication module (6).

3. The bridge BIM operation and maintenance intelligent system based on human-computer interaction according to claim 2 is characterized in that: The counting module (21) is fixedly installed on the bridge and is used to detect the number of cars passing by in a unit time; The vibration detection module (22) is fixedly installed on the bridge and is used to detect the vibration of the bridge column when a train passes by; The high-definition camera (23) is fixedly installed above the bridge deck and is used to monitor the conditions of vehicles traveling on the bridge deck; The inspection drone (24) regularly inspects the health of the bridge, and when an accident occurs on the bridge deck, the inspection drone (24) can arrive at the scene in time, negotiate with the accident personnel, record the cause of the accident, take photos and record, and upload the data information of the scene pictures to the central control module (1) through the communication module (6); The counting module (21), the vibration detection module (22), the high-definition camera (23), and the inspection drone (24) collect relevant data information of the bridge deck machine vehicle and upload the data to the central control module (1) for processing. The central control module (1) uploads the data information to the bridge operation and maintenance platform (7).

4. The bridge BIM operation and maintenance intelligent system based on human-computer interaction according to claim 3 is characterized in that: The bridge deck vehicle guidance module (3) comprises a travel time integration module (31), a vehicle flow determination module (32) and a notification module (33); the travel time integration module (31), the vehicle flow determination module (32) and the notification module (33) are all electrically connected to the central control module (1).

5. The bridge BIM operation and maintenance intelligent system based on human-computer interaction according to claim 4 is characterized in that: The travel time integration module (31) receives the data information of the train travel time uploaded by the central control module (1), and then sorts out the time period of more than or equal to five trains passing within thirty minutes on the same day, and uploads this time period to the central control module (1); The vehicle flow determination module (32) receives the data information of the vehicles on the bridge deck collected by the central control module (1) and determines the data information: If the counting module 21 detects that the number of vehicles passing a certain point on the bridge exceeds 10 within three minutes, it is determined that the traffic volume is large, and the data information is uploaded to the central control module (1). The central control module (1) uploads the data information of the large traffic volume to the notification module (33), and the notification module (33) reminds the toll station to limit the flow of vehicles during the time period when multiple trains pass.

6. The bridge BIM operation and maintenance intelligent system based on human-computer interaction according to claim 5 is characterized in that: The bridge deck accident processing module (4) comprises an accident judgment module (41), a vehicle moving robot (42) and a time calculation module (43); the accident judgment module (41) and the time calculation module (43) are both electrically connected to the central control module (1); and the vehicle moving robot (42) is wirelessly connected to the communication module (6).

7. The bridge BIM operation and maintenance intelligent system based on human-computer interaction according to claim 6 is characterized in that: The accident judgment module (41) is used to judge the type of accident, the vehicle moving robot (42) is used to move the accident vehicle, and the time calculation module (43) is used to calculate the bridge deck repair time; The accident judgment module (41) judges the traffic accident, and the specific steps of the judgment are as follows: The high-definition camera (23) takes a picture of the accident scene and then uploads it to the central control module (1). The central control module (1) processes the accident scene and uploads the data information to the accident judgment module (41); The accident judgment module (41) judges whether a vehicle has fallen into the water according to the image information; If the accident judgment module (41) does not find the image information of the vehicle falling into the water, it is an accident on the bridge deck; The accident judgment module (41) analyzes and judges the accident on the bridge deck. If the image information involves only two vehicles or one vehicle, and the area occupied is not large, and the vehicle is slightly worn, the accident judgment module (41) judges it to be a minor accident. For minor accidents, the accident judgment module (41) uploads the judgment result to the central control module (1), and the central control module (1) sends instructions to the inspection drone (24) through the communication module (6) to negotiate with the accident personnel and understand the cause of the accident. The inspection drone (24) also takes photos of the accident scene and keeps them, reminding the accident personnel to move the vehicle to a safe place; If the number of vehicles involved in the image information is more than two but less than four, and the area occupied is not large, but the vehicles are seriously worn out, then the accident judgment module (41) judges it as a general accident; For general accidents, the accident judgment module (41) uploads the judgment result to the central control module (1), and the central control module (1) sends instructions to the inspection drone (24) through the communication module (6) to negotiate with the accident personnel and understand the cause of the accident. The inspection drone (24) takes photos of the accident scene for preservation. The central control module (1) also sends a vehicle moving instruction to the vehicle moving robot (42) through the communication module (6). The vehicle moving robot (42) moves the personnel and vehicles to a safe place and notifies the personnel of the relevant departments to carry out rescue. If the image information involves more than four vehicles, the accident is complex, and covers a large area, the accident judgment module (41) judges it as a major accident; For a major accident, the accident judgment module (41) uploads the judgment result to the central control module (1), and the central control module (1) sends instructions to the inspection drone (24) through the communication module (6) to inspect the scene and understand the cause of the accident. The central control module (1) also sends the accident scene to the toll station, so that the toll station blocks the road and waits for the traffic police to arrive at the scene to handle the situation. The inspection drone (24) also checks the road surface. The central control module (1) receives data information from the accident judgment module (41), and based on the bridge deck damage position detected by the inspection drone (24), the central control module (1) uploads image information of the bridge deck damage position to the time calculation module (43), and the time calculation module (43) determines the bridge deck repair time based on the image information of the damage position, and determines whether the damage position area exceeds 5% of the bridge deck; If the area of ​​the damaged position does not exceed 5% of the bridge deck, the time calculation module (43) determines that the bridge deck repair time is 2 days; If the area of ​​the damaged position exceeds 5% of the bridge deck, the time calculation module (43) determines that the vehicle's travel time is 10 days or more; If the accident judgment module (41) finds image information of the vehicle falling into water, the accident judgment module (41) judges it as a car accident falling into water; If there are other collision vehicles in the bridge surface image information, the accident judgment module (41) judges that it is a collision accident based on the image information, and the vehicle that fell into the water accidentally broke the bridge column and flew into the lake; The accident judgment module (41) uploads the judgment result to the central control module (1), and the central control module (1) sends instructions to the inspection drone (24) through the communication module (6) to negotiate with the bridge accident personnel and understand the cause of the accident. The inspection drone (24) takes photos of the accident scene for preservation. The inspection drone (24) carries life-saving equipment and throws it into the water to provide rescue personnel for salvaging and saving people. The inspection drone (24) takes photos of the bridge accident scene for preservation, and the central control module (1) controls the vehicle moving robot (42) through the communication module (6) to move the bridge personnel and vehicles to a safe place; If there is no other collision vehicle on the bridge deck, the accident judgment module (41) judges that the vehicle fell into the water due to its own reasons; The accident judgment module (41) uploads the judgment result to the central control module (1), and the central control module (1) sends instructions to the inspection drone (24) through the communication module (6). The inspection drone (24) takes photos of the accident scene for preservation, and the inspection drone (24) carries life-saving equipment and throws it into the water to provide it to rescue personnel for salvaging and saving people.

8. The bridge BIM operation and maintenance intelligent system based on human-computer interaction according to claim 7 is characterized in that: After the bridge column is damaged, the accident judgment module (41) uploads the data information of the accident to the central control module (1), the high-definition camera (23) and the inspection drone (24) upload the picture of the bridge damage to the central control module (1), the central control module (1) collects the accident information and the bridge deck damage information and uploads it to the bridge operation and maintenance platform (7) through the communication module (6), the bridge evaluation module (8) compares the picture information received by the bridge operation and maintenance platform (7) with the data information in the database (10), and evaluates the condition of the bridge. If the picture similarity of the corresponding section is less than 80%, the bridge judgment module (9) determines that the bridge needs to be repaired, and the bridge operation and maintenance platform (7) sends the bridge maintenance instruction to the central control module (1). When the central control module (1) receives the maintenance instruction, it notifies the toll station to block the road. The bridge operation and maintenance platform (7) uploads the data information of the bridge deck damage to the maintenance terminal (11), and the maintenance terminal (11) sends people to the site for maintenance.

9. The bridge BIM operation and maintenance intelligent system based on human-computer interaction according to claim 8 is characterized in that: The water surface warning module (5) comprises a millimeter wave radar (51), a loudspeaker (52) and a ship position determination module (53); the millimeter wave radar (51), the loudspeaker (52) and the ship position determination module (53) are all electrically connected to the central control module (1); and a plurality of millimeter wave radars (51) and loudspeakers (52) are provided and fixedly mounted on the bridge pier.

10. The bridge BIM operation and maintenance intelligent system based on human-computer interaction according to claim 9 is characterized in that: The millimeter wave radar (51) sends a frequency sweep signal of an FMCW waveform through a transmitting antenna TX; The receiving antenna RX of the millimeter wave radar (51) receives the signal reflected by the target from the swept frequency signal of the FMCW waveform, mixes it with the swept frequency signal of the FMCW waveform to obtain an IF intermediate frequency signal, and obtains ADC data after analog-to-digital conversion. The millimeter wave radar (51) collects data information on the position of the ship and transmits it to the central control module 1. The central control module (1) performs 1DFFT and 2DFFT on the ADC data to obtain 1D spectrum and 2D spectrum of the IF intermediate frequency signal, thereby obtaining the direction and distance information of the ship; After obtaining the target ship's direction and distance, the target ship is converted into coordinates, and the polar coordinates are changed into rectangular coordinates (x, y). The conversion formula is: x = Range * sin (angle); y = Range * cos (angle); Among them, Range is the distance and angle is the direction. The alarm area range is set in the central control module (1), and the ship position determination module (53) analyzes whether the coordinate value (x, y) of the ship is within the alarm area and then uploads the data analysis result to the central control module (1); If the ship position determination module (53) determines that the ship is in the alarm area, the central control module (1) immediately notifies the ship to stay away from the bridge through the loudspeaker (52).

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