Intelligent traffic road condition real-time monitoring device

Abstract

The invention discloses an intelligent traffic road condition real-time monitoring device, which is applied to the technical field of intelligent traffic monitoring, and is provided with a monitoring structure, an image collector, a display and a traffic road condition real-time monitoring comprehensive analysis early warning system for cooperative use. Traffic flow, vehicle speed, vehicle types and other data are collected through the monitoring structure and the image collector shell, the various collected data are fused and integrated through the traffic road condition real-time monitoring comprehensive analysis early warning system so as to obtain more comprehensive and accurate road condition information, the collected real-time data are rapidly processed and analyzed, and the traffic road condition real-time monitoring comprehensive analysis early warning system has the advantages of being high in practicability and easy to popularize. According to the system, abnormal conditions such as traffic jams and accidents can be found in time, and future traffic conditions can be predicted, so that when the abnormal conditions are detected, the system can automatically send out early warning information and provide decision support for traffic management departments, such as issuing traffic guidance information, and the system can flexibly cope with variable traffic conditions.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent traffic monitoring, and in particular relates to a real-time monitoring device for intelligent traffic conditions. Background Art

[0002] Smart transportation refers to a system that uses advanced information technology, data communication transmission technology, electronic sensing technology, control technology, and computer technology to conduct all-round real-time monitoring and management of the entire traffic environment. By integrating and analyzing various traffic information, smart transportation aims to improve the efficiency of traffic management, reduce traffic congestion, improve road safety, reduce environmental pollution, and provide a more convenient, comfortable, and economical way of travel.

[0003] With the acceleration of urbanization and the continuous increase in the number of cars, traffic congestion, accidents and other problems are becoming increasingly serious, which puts higher requirements on the real-time monitoring and management of traffic conditions. At present, traffic monitoring equipment mostly uses fixed cameras for road condition monitoring, which cannot flexibly respond to changing traffic conditions, and there are problems such as single data collection, limited analysis and processing capabilities, and untimely warnings.

[0004] Combining the above-mentioned problems, we can find that it is difficult to avoid the above-mentioned problems at the same time when the existing monitoring devices on the market are in use, thus failing to achieve the desired effect. Therefore, we propose a smart traffic real-time monitoring device that can collect a variety of traffic data and integrate the collected data to improve the accuracy and comprehensiveness of road condition information, so as to quickly process and analyze the collected real-time data, timely discover abnormal situations such as traffic congestion and accidents, and predict future traffic conditions. Summary of the invention

[0005] The purpose of the present invention is to target an existing intelligent real-time traffic condition monitoring device, which has the advantage of being used in conjunction with a monitoring structure, an image collector, a display and a real-time traffic condition monitoring, comprehensive analysis and early warning system. Traffic flow, vehicle speed, vehicle type and other data are collected through the monitoring structure and the image collector shell, and the real-time traffic condition monitoring, comprehensive analysis and early warning system fuses and integrates the collected multiple data to obtain more comprehensive and accurate road condition information, and quickly processes and analyzes the collected real-time data, promptly discovers abnormal situations such as traffic congestion and accidents, and predicts future traffic conditions. Therefore, when an abnormal situation is detected, the system can automatically issue a warning message and provide decision-making support for the traffic management department, such as issuing traffic induction information, etc., and can flexibly respond to changing traffic conditions.

[0006] The above technical objectives of the present invention are achieved through the following technical solutions: a smart traffic condition real-time monitoring device, comprising a roadbed, a monitoring structure, an elevated structure, an image collector, a display and a traffic condition real-time monitoring comprehensive analysis and early warning system, wherein the monitoring structure is arranged inside the roadbed, and the elevated structure is bolted to the top of the monitoring structure, the image collector is bolted to the top of the elevated structure, and the display is bolted to the top of the front side of the elevated structure;

[0007] The monitoring structure includes a ground sensing monitoring component and a radar monitoring component, wherein the ground sensing monitoring component is arranged inside the roadbed, and the radar monitoring component is bolted to both sides of the top of the ground sensing monitoring component, and the elevated structure is bolted between the tops of the two radar monitoring components;

[0008] The real-time monitoring, comprehensive analysis and early warning system for traffic conditions includes a central processing unit, the output end of the central processing unit is unidirectionally electrically connected to a ground sensing monitoring component and a radar monitoring component respectively, the output end of the central processing unit is unidirectionally electrically connected to an image collector, and the output end of the image collector is unidirectionally electrically connected to a data processing module, the output end of the data processing module is unidirectionally electrically connected to an early warning module, and the output end of the early warning module is bidirectionally electrically connected to a wireless communication module, and the output end of the wireless communication module is bidirectionally electrically connected to a remote monitoring center, and the output end of the early warning module is unidirectionally electrically connected to a display.

[0009] By adopting the above technical solution, a monitoring structure, an image collector, a display and a real-time monitoring, comprehensive analysis and early warning system for traffic conditions are set up for use together. Traffic flow, vehicle speed, vehicle type and other data are collected through the monitoring structure and the image collector shell, and the real-time monitoring, comprehensive analysis and early warning system for traffic conditions fuses and integrates the collected multiple data to obtain more comprehensive and accurate road condition information, and quickly processes and analyzes the collected real-time data to promptly discover abnormal situations such as traffic congestion and accidents, and predict future traffic conditions. Therefore, when an abnormal situation is detected, the system can automatically issue a warning message and provide decision-making support for the traffic management department, such as issuing traffic guidance information, etc., and can flexibly respond to changing traffic conditions.

[0010] The present invention is further configured as follows: the ground sensing monitoring component includes an installation shell, the installation shell is embedded in the interior of the roadbed, and a protective cover is provided on the top of the interior of the installation shell, a ground sensing coil monitor is provided at the bottom of the inner wall of the installation shell, two grooves are provided on the front and rear sides of the bottom of the inner wall of the installation shell, and a guide column is provided inside the groove, a slider is sleeved on the surface of the guide column, and the slider is slidably arranged inside the groove, limit springs are sleeved on both sides of the surface of the guide column, and the side of the limit spring close to the slider and the inner wall of the groove is respectively connected to the two, the front and rear sides of the bottom of the protective cover are bolted with two connecting blocks, the interior of the connecting block is rotatably connected to two connecting rods, and the other end of the connecting rod is rotatably connected to the slider, both sides of the bottom of the protective cover are bolted with support members, and the other end of the support member is connected to the inner wall of the installation shell.

[0011] By adopting the above technical solution, a ground sensing monitoring component is set up. When a vehicle passes over the protective cover, the change in the spatial medium causes a change in the oscillation frequency. Therefore, the ground sensing coil monitor assists in determining the vehicle position by detecting the time the vehicle passes. The impact force generated when the vehicle passes over the protective cover will force a certain amount of displacement, which can drive the connecting block to move the two connecting rods, drive the slider to move on the surface of the guide column and contract the limit spring, and simultaneously compress the support member. With the coordinated use of the support member and the limit spring, the force of the protective cover can be buffered, reducing the impact of vibration on the ground sensing coil monitor, thereby effectively protecting the ground sensing monitoring component.

[0012] The present invention is further configured as follows: the support member includes a fixed cylinder, a movable rod is slidably connected inside the fixed cylinder, and a rotating frame is bolted to the movable rod and the fixed cylinder on one side close to the protective cover and the inner wall of the mounting shell, and the rotating frame is respectively connected to the protective cover and the inner wall of the mounting shell on one side, a movable piston is slidably connected inside the fixed cylinder, and the movable piston is connected to the movable rod, a buffer spring is connected to the bottom of the movable piston, and the bottom of the buffer spring is connected to the inner wall of the fixed cylinder.

[0013] By adopting the above technical solution and setting a support member, the movable rod and the movable piston can be driven to move inside the fixed cylinder when the protective cover is displaced, and the buffer spring can be contracted. The movable piston squeezes the oil in the fixed cylinder during the movement, and the kinetic energy of the force is consumed when the oil is compressed, thereby achieving the effect of buffering the force.

[0014] The present invention is further configured as follows: a sealing ring is sleeved on the surface of the movable piston, and the surface of the sealing ring is in sliding contact with the inner wall of the fixed cylinder, and oil is filled between the movable piston and the bottom of the fixed cylinder.

[0015] By adopting the above technical solution and providing a sealing ring, the connection between the movable piston and the fixed cylinder can be sealed.

[0016] The present invention is further configured as follows: the radar monitoring component includes a protective shell, the protective shell is bolted to the top of the mounting shell, and the front and rear sides of the inside of the protective shell are bolted with radar monitors, the top of the protective shell is bolted with a fixed shell, and the inside of the fixed shell is rotatably connected with a screw rod, the surface of the screw rod is threadedly connected with a screw block, and the other end of the screw block extends to the outside of the fixed shell, and the side of the screw block close to the protective shell is bolted with a brush plate, and the brush plate is in contact with the side close to the protective shell.

[0017] By adopting the above technical solution, a radar monitoring component is set up, so that the distance and direction information of the vehicle can be detected by the radar monitor, so as to determine the vehicle position more accurately. The screw rod is driven to rotate by an external driving device, and the thread of the screw rod and the screw block cooperates, so that the screw rod drives the screw block to move repeatedly on its surface, and the brush plate can brush off foreign matter attached to the protective shell, thereby ensuring the normal use of the radar monitor.

[0018] The present invention is further configured as follows: the data processing module includes a microprocessor, the output end of the microprocessor is unidirectionally electrically connected to a data fusion unit, and the output end of the data fusion unit is unidirectionally electrically connected to a data analysis unit, the output end of the data analysis unit is unidirectionally electrically connected to a storage device, and the output end of the data analysis unit is unidirectionally electrically connected to the microprocessor.

[0019] By adopting the above technical solution, through setting up a data processing module, various data collected by the image collector, ground sensor coil monitor and radar monitor module will first enter the data fusion unit for fusion processing, and then be analyzed by the data analysis unit. The analysis results are further processed and decided by the microprocessor and stored in the memory, thereby achieving the effect of quickly processing and analyzing the collected real-time data, timely discovering abnormal situations such as traffic congestion and accidents, and predicting future traffic conditions.

[0020] The present invention is further configured as follows: the output end of the central processor is unidirectionally electrically connected to the ground sensing coil monitor and the radar monitor respectively, and the output ends of the ground sensing coil monitor and the radar monitor are unidirectionally electrically connected to the data processing module.

[0021] By adopting the above technical solution, by setting up a central processing unit to connect with the ground sensing coil monitor and the radar monitor, the effect of facilitating the ground sensing coil monitor and the radar monitor can be achieved, and by connecting the ground sensing coil monitor and the radar monitor with the data processing module, the collected data can be analyzed conveniently.

[0022] The present invention is further configured as follows: the data fusion unit and the data analysis unit respectively use a data fusion algorithm and a data analysis algorithm to process the collected data, the data fusion algorithm uses a weighted average method and a Kalman filter method, and the data analysis algorithm includes traffic flow statistics, vehicle speed calculation, congestion judgment and accident risk assessment.

[0023] By adopting the above technical solution, a data fusion unit and a data analysis unit are set up to process the collected data using a data fusion algorithm and a data analysis algorithm respectively, so that the data can be analyzed and processed to extract useful road condition information, thereby improving the real-time and accuracy of traffic monitoring and enhancing the intelligent analysis capability of traffic conditions.

[0024] The present invention is further configured as follows: the process of the data fusion algorithm includes the following steps:

[0025] S1. Data collection: Get raw data from each sensor;

[0026] S2. Data preprocessing: cleaning, denoising, calibration and other preprocessing operations are performed on the collected data;

[0027] S3. Feature extraction: extract key features from the preprocessed data, such as vehicle position features, speed features, etc.;

[0028] S4. Data fusion: Use appropriate data fusion algorithms, such as weighted average method, Kalman filter method, etc., to fuse the features of different sensors;

[0029] S5. Fusion result output: output the fused road condition information.

[0030] The present invention is further configured as follows: the process of the data analysis algorithm includes the following steps:

[0031] S1. Input fused data;

[0032] S2. Traffic flow statistics: count the number of vehicles passing through a specific road section within a period of time;

[0033] S3. Vehicle speed calculation: Calculate the vehicle speed based on the position change of the vehicle at different time points;

[0034] S4. Congestion judgment: when the traffic volume is large and the vehicle speed is significantly reduced, it is judged as congestion;

[0035] S5. Accident risk assessment: Assess the accident risk by analyzing the vehicle's driving trajectory, speed changes and other factors;

[0036] S6. Output analysis results: Output analysis results such as traffic flow, vehicle speed, congestion, and accident risk.

[0037] In summary, the present invention has the following beneficial effects:

[0038] By setting up a monitoring structure, an image collector, a display and a real-time monitoring, comprehensive analysis and early warning system for traffic conditions, the monitoring structure and the image collector shell are used to collect data such as traffic flow, vehicle speed, and vehicle type. The real-time monitoring, comprehensive analysis and early warning system for traffic conditions fuses and integrates the various data collected to obtain more comprehensive and accurate road condition information, and quickly processes and analyzes the collected real-time data to promptly discover abnormal situations such as traffic congestion and accidents, and predict future traffic conditions. Therefore, when an abnormal situation is detected, the system can automatically issue a warning message and provide decision-making support to the traffic management department, such as issuing traffic guidance information, etc., and can flexibly respond to changing traffic conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0040] Figure 2 It is a schematic diagram of the structure of the ground sensing monitoring component of the present invention;

[0041] Figure 3 is a cross-sectional schematic diagram of a support member of the present invention;

[0042] Figure 4 It is a schematic diagram of the structure of the radar monitoring component of the present invention;

[0043] Figure 5 It is a block diagram of the traffic condition real-time monitoring, comprehensive analysis and early warning system of the present invention;

[0044] Figure 6 is a block diagram of a data processing module of the present invention;

[0045] Figure 7 It is a flow chart of the data fusion algorithm of the present invention;

[0046] Figure 8 It is a flow chart of the data analysis algorithm of the present invention.

[0047] Figure numerals: 1, roadbed; 2, monitoring structure; 3, ground sensing monitoring assembly; 31, mounting shell; 32, protective cover; 33, ground sensing coil monitor; 34, groove; 35, guide column; 36, slider; 37, limit spring; 38, support member; 381, fixed cylinder; 382, ​​movable rod; 383, rotating frame; 384, movable piston; 385, buffer spring; 39, connecting block; 310, connecting rod; 4, radar monitoring assembly; 41, protective shell; 42, radar Monitor; 43. Fixed shell; 44. Screw rod; 45. Screw block; 46. Brush plate; 5. Elevated structure; 6. Image collector; 7. Display; 8. Real-time monitoring, comprehensive analysis and early warning system for traffic conditions; 81. Central processing unit; 82. Data processing module; 821. Microprocessor; 822. Data fusion unit; 823. Data analysis unit; 824. Storage; 83. Early warning module; 84. Wireless communication module; 85. Remote monitoring center; 9. Sealing ring. DETAILED DESCRIPTION

[0048] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0049] Embodiment 1:

[0050] refer to Figure 1-6 , a smart traffic road condition real-time monitoring device, comprising a roadbed 1, a monitoring structure 2, an elevated structure 5, an image collector 6, a display 7 and a traffic road condition real-time monitoring comprehensive analysis and early warning system 8, the monitoring structure 2 is arranged inside the roadbed 1, and the elevated structure 5 is bolted to the top of the monitoring structure 2, the image collector 6 is bolted to the top of the elevated structure 5, and the display 7 is bolted to the top of the front side of the elevated structure 5;

[0051] The monitoring structure 2 includes a ground sensing monitoring component 3 and a radar monitoring component 4. The ground sensing monitoring component 3 is arranged inside the roadbed 1, and the radar monitoring component 4 is bolted to both sides of the top of the ground sensing monitoring component 3, and the elevated structure 5 is bolted between the tops of the two radar monitoring components 4;

[0052] The traffic condition real-time monitoring, comprehensive analysis and early warning system 8 comprises a central processing unit 81, the output end of the central processing unit 81 is unidirectionally electrically connected to the ground sensing monitoring component 3 and the radar monitoring component 4 respectively, the output end of the central processing unit 81 is unidirectionally electrically connected to the image collector 6, and the output end of the image collector 6 is unidirectionally electrically connected to the data processing module 82, the output end of the data processing module 82 is unidirectionally electrically connected to the early warning module 83, and the output end of the early warning module 83 is bidirectionally electrically connected to the wireless communication module 84, and the output end of the wireless communication module 84 is bidirectionally electrically connected to the remote monitoring center 85, the output end of the early warning module 83 is unidirectionally electrically connected to the display 7, and the monitoring structure 2, FIG. The image collector 6, the display 7 and the real-time monitoring, comprehensive analysis and early warning system 8 for traffic conditions are used in coordination. The monitoring structure 2 and the image collector 6 shell collect data such as traffic flow, vehicle speed, and vehicle type. The real-time monitoring, comprehensive analysis and early warning system 8 for traffic conditions fuses and integrates the various data collected to obtain more comprehensive and accurate road condition information, and quickly processes and analyzes the collected real-time data to promptly detect abnormal situations such as traffic congestion and accidents, and predict future traffic conditions. Therefore, when an abnormal situation is detected, the system can automatically issue a warning message and provide decision-making support for the traffic management department, such as issuing traffic guidance information, etc., and can flexibly respond to changing traffic conditions.

[0053] like Figure 2As shown, the ground sensing monitoring component 3 includes a mounting shell 31, which is embedded in the roadbed 1, and a protective cover 32 is provided on the top of the mounting shell 31, and a ground sensing coil monitor 33 is provided at the bottom of the inner wall of the mounting shell 31, and two grooves 34 are provided on the front and rear sides of the bottom of the inner wall of the mounting shell 31, and a guide column 35 is provided inside the groove 34, and a slider 36 is sleeved on the surface of the guide column 35, and the slider 36 is slidably arranged inside the groove 34, and both sides of the surface of the guide column 35 are sleeved with limit springs 37, and the limit spring 37 is connected to the slider 36 and the inner wall of the groove 34 on one side thereof respectively, and two connecting blocks 39 are bolted on the front and rear sides of the bottom of the protective cover 32, and two connecting rods 310 are rotatably connected inside the connecting block 39, and the other end of the connecting rod 310 is rotatably connected to the slider 36, and the protective cover Both sides of the bottom of 32 are bolted with support members 38, and the other end of the support member 38 is connected to the inner wall of the mounting shell 31. By setting the ground sensing monitoring component 3, when a vehicle passes over the protective cover 32, the change in the spatial medium causes a change in the oscillation frequency, so that the ground sensing coil monitor 33 assists in determining the vehicle position by detecting the time when the vehicle passes, and the impact force generated when the vehicle passes will force the protective cover 32 to move a certain amount, so that the connecting block 39 can drive the two connecting rods 310 to move, and the slider 36 can be driven to move on the surface of the guide column 35 and the limit spring 37 can be contracted, and the support member 38 can be compressed synchronously. Under the coordinated use of the support member 38 and the limit spring 37, the force of the protective cover 32 can be buffered, reducing the impact of vibration on the ground sensing coil monitor 33, and effectively protecting the ground sensing monitoring component 3.

[0054] like Figure 3 As shown, the support member 38 includes a fixed cylinder 381, and a movable rod 382 is slidably connected inside the fixed cylinder 381, and a rotating frame 383 is bolted to the side of the movable rod 382 and the fixed cylinder 381 close to the inner wall of the protective cover 32 and the mounting shell 31, and the rotating frame 383 is respectively connected to the protective cover 32 and the inner wall of the mounting shell 31 on one side, and the two are connected respectively. A movable piston 384 is slidably connected inside the fixed cylinder 381, and the movable piston 384 is connected to the movable rod 382, ​​and a buffer spring 385 is connected to the bottom of the movable piston 384, and the bottom of the buffer spring 385 is connected to the inner wall of the fixed cylinder 381. By setting the support member 38, the movable rod 382 and the movable piston 384 can be driven to move inside the fixed cylinder 381 when the protective cover 32 is displaced, and the buffer spring 385 can be contracted. The movable piston 384 squeezes the oil in the fixed cylinder 381 during the movement, and the kinetic energy of the force consumed when the oil is compressed is used, thereby achieving the effect of buffering the force.

[0055] like Figure 3As shown, a sealing ring 9 is sleeved on the surface of the movable piston 384, and the surface of the sealing ring 9 is in sliding contact with the inner wall of the fixed cylinder 381. The space between the movable piston 384 and the bottom of the fixed cylinder 381 is filled with oil. By setting the sealing ring 9, the connection between the movable piston 384 and the fixed cylinder 381 can be sealed.

[0056] like Figure 4 As shown, the radar monitoring component 4 includes a protective shell 41, which is bolted to the top of the mounting shell 31, and the front and rear sides of the protective shell 41 are bolted to the radar monitor 42, the top of the protective shell 41 is bolted to a fixed shell 43, and the fixed shell 43 is rotatably connected to a screw rod 44, the surface of the screw rod 44 is threadedly connected to a screw block 45, and the other end of the screw block 45 extends to the outside of the fixed shell 43, and the side of the screw block 45 close to the protective shell 41 is bolted to a brush plate 46, and the side of the brush plate 46 close to the protective shell 41 is in contact with it. By setting the radar monitoring component 4, the radar monitor 42 can detect the distance and azimuth information of the vehicle, so as to more accurately determine the vehicle position, and the screw rod 44 is driven to rotate by an external driving device, and the screw rod 44 drives the screw block 45 to move repeatedly on its surface through the threaded cooperation of the screw rod 44 and the screw block 45, so that the brush plate 46 can brush away foreign matter attached to the protective shell 41, thereby ensuring the normal use of the radar monitor 42.

[0057] like Figure 6 As shown, the data processing module 82 includes a microprocessor 821, the output end of the microprocessor 821 is unidirectionally electrically connected to a data fusion unit 822, and the output end of the data fusion unit 822 is unidirectionally electrically connected to a data analysis unit 823, the output end of the data analysis unit 823 is unidirectionally electrically connected to a storage 824, and the output end of the data analysis unit 823 is unidirectionally electrically connected to the microprocessor 821. By setting the data processing module 82, various data collected by the image collector 6, the ground sensor coil monitor 33 and the radar monitor 42 modules will first enter the data fusion unit 822 for fusion processing, and then be analyzed by the data analysis unit 823. The analysis results are further processed and decided by the microprocessor 821 and stored in the memory, thereby achieving the effect of quickly processing and analyzing the collected real-time data, timely discovering abnormal situations such as traffic congestion and accidents, and predicting future traffic conditions.

[0058] like Figure 5As shown, the output end of the central processing unit 81 is electrically connected to the ground sensing coil monitor 33 and the radar monitor 42 in one direction, and the output end of the ground sensing coil monitor 33 and the radar monitor 42 is electrically connected to the data processing module 82 in one direction. By setting the central processing unit 81 to be connected to the ground sensing coil monitor 33 and the radar monitor 42, the effect of facilitating the ground sensing coil monitor 33 and the radar monitor 42 can be achieved, and by connecting the ground sensing coil monitor 33 and the radar monitor 42 to the data processing module 82, the collected data can be analyzed conveniently.

[0059] like Figure 6 As shown, the data fusion unit 822 and the data analysis unit 823 respectively use data fusion algorithm and data analysis algorithm to process the collected data. The data fusion algorithm uses weighted average method and Kalman filtering method, and the data analysis algorithm includes traffic flow statistics, vehicle speed calculation, congestion judgment and accident risk assessment. By setting the data fusion unit 822 and the data analysis unit 823 to respectively use data fusion algorithm and data analysis algorithm to process the collected data, the data can be analyzed and processed to extract useful road condition information, thereby improving the real-time and accuracy of traffic monitoring and enhancing the intelligent analysis capability of traffic conditions.

[0060] A brief description of the use process: When a vehicle passes over the protective cover 32, the change in the spatial medium causes a change in the oscillation frequency, so the ground sensor coil monitor 33 assists in determining the vehicle's position by detecting the time when the vehicle passes by, and the impact force generated when the vehicle passes over will force the protective cover 32 to move a certain amount, so that the connecting block 39 can drive the two connecting rods 310 to move, and the slider 36 can be driven to move on the surface of the guide column 35 to contract the limit spring 37 and compress the support member 38 synchronously. With the cooperation of the support member 38 and the limit spring 37, the force of the protective cover 32 can be buffered to reduce the impact of vibration on the ground sensor coil monitor 33. At the same time, the radar monitor 42 can detect the distance and direction information of the vehicle to more accurately determine the vehicle's position and Cooperate with the image collector 6 to collect image information of vehicles passing by, transmit multiple data to the data fusion unit 822 for fusion processing, use the data fusion algorithm to integrate the multiple data, and then use the data analysis algorithm to analyze through the data analysis unit 823 to extract useful road condition information, such as traffic flow, vehicle speed distribution, congestion, accident risk, etc. The analysis results are further processed and decided by the microprocessor 821 and stored in the memory. When an abnormal situation is detected, it can automatically send a warning message to the remote monitoring center 85 through the warning module 83 and the wireless communication module 84, and provide decision support for the traffic management department, such as issuing traffic guidance information, etc. At the same time, the warning information is displayed on the display 7 to provide real-time road condition information for vehicle drivers.

[0061] Embodiment 2:

[0062] refer to Figure 7 , the process of data fusion algorithm includes the following steps:

[0063] S1. Data collection: Get raw data from each sensor;

[0064] S2. Data preprocessing: cleaning, denoising, calibration and other preprocessing operations are performed on the collected data;

[0065] S3. Feature extraction: extract key features from the preprocessed data, such as vehicle position features, speed features, etc.;

[0066] S4. Data fusion: Use appropriate data fusion algorithms, such as weighted average method, Kalman filter method, etc., to fuse the features of different sensors;

[0067] S5. Fusion result output: output the fused road condition information.

[0068] refer to Figure 8 , the process of data analysis algorithm includes the following steps:

[0069] S1. Input fused data;

[0070] S2. Traffic flow statistics: count the number of vehicles passing through a specific road section within a period of time;

[0071] S3. Vehicle speed calculation: Calculate the vehicle speed based on the position change of the vehicle at different time points;

[0072] S4. Congestion judgment: when the traffic volume is large and the vehicle speed is significantly reduced, it is judged as congestion;

[0073] S5. Accident risk assessment: Assess the accident risk by analyzing the vehicle's driving trajectory, speed changes and other factors;

[0074] S6. Output analysis results: Output analysis results such as traffic flow, vehicle speed, congestion, and accident risk.

[0075] This specific embodiment is merely an explanation of the present invention and is not a limitation of the present invention. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed. However, as long as they are within the scope of the claims of the present invention, they are protected by the patent law.

Claims

1. A smart real-time traffic condition monitoring device, comprising a roadbed (1), a monitoring structure (2), an elevated structure (5), an image collector (6), a display (7) and a real-time traffic condition monitoring, comprehensive analysis and early warning system (8), characterized in that: The monitoring structure (2) is arranged inside the roadbed (1), and the elevated structure (5) is bolted to the top of the monitoring structure (2), the image collector (6) is bolted to the top of the elevated structure (5), and the display (7) is bolted to the top of the front side of the elevated structure (5); The monitoring structure (2) comprises a ground sensing monitoring component (3) and a radar monitoring component (4), wherein the ground sensing monitoring component (3) is arranged inside the roadbed (1), and the radar monitoring component (4) is bolted to both sides of the top of the ground sensing monitoring component (3), and the elevated structure (5) is bolted between the tops of the two radar monitoring components (4); The traffic condition real-time monitoring, comprehensive analysis and early warning system (8) comprises a central processor (81), the output end of the central processor (81) is unidirectionally electrically connected to the ground sensing monitoring component (3) and the radar monitoring component (4), the output end of the central processor (81) is unidirectionally electrically connected to the image collector (6), and the output end of the image collector (6) is unidirectionally electrically connected to the data processing module (82), the output end of the data processing module (82) is unidirectionally electrically connected to the early warning module (83), and the output end of the early warning module (83) is bidirectionally electrically connected to the wireless communication module (84), and the output end of the wireless communication module (84) is bidirectionally electrically connected to the remote monitoring center (85), and the output end of the early warning module (83) is unidirectionally electrically connected to the display (7).

2. The intelligent traffic condition real-time monitoring device according to claim 1 is characterized in that: The ground sensing monitoring assembly (3) comprises a mounting shell (31), the mounting shell (31) is embedded in the roadbed (1), and a protective cover (32) is arranged on the top of the mounting shell (31), a ground sensing coil monitor (33) is arranged on the bottom of the inner wall of the mounting shell (31), two grooves (34) are provided on the front and rear sides of the bottom of the inner wall of the mounting shell (31), and a guide column (35) is arranged inside the groove (34), a sliding block (36) is sleeved on the surface of the guide column (35), and the sliding block (36) is slidably arranged inside the groove (34), and the guide column (35) is provided on the surface of the guide column (35). Limiting springs (37) are sleeved on both sides of the surface of the guide column (35), and the side of the limiting spring (37) close to the slider (36) and the inner wall of the groove (34) is respectively connected to the two. The front and rear sides of the bottom of the protective cover (32) are bolted to two connecting blocks (39), and the inside of the connecting block (39) is rotatably connected to two connecting rods (310), and the other end of the connecting rod (310) is rotatably connected to the slider (36). Support members (38) are bolted on both sides of the bottom of the protective cover (32), and the other end of the support member (38) is connected to the inner wall of the mounting shell (31).

3. The intelligent traffic condition real-time monitoring device according to claim 2 is characterized in that: The support member (38) includes a fixed cylinder (381), the interior of the fixed cylinder (381) is slidably connected to a movable rod (382), and the movable rod (382) and the fixed cylinder (381) are both bolted to a rotating frame (383) on one side close to the inner wall of the protective cover (32) and the mounting shell (31), and the rotating frame (383) is respectively connected to the inner wall of the protective cover (32) and the mounting shell (31) on one side, and the two are respectively connected, the interior of the fixed cylinder (381) is slidably connected to a movable piston (384), and the movable piston (384) is connected to the movable rod (382), the bottom of the movable piston (384) is connected to a buffer spring (385), and the bottom of the buffer spring (385) is connected to the inner wall of the fixed cylinder (381).

4. The intelligent traffic condition real-time monitoring device according to claim 3 is characterized in that: A sealing ring (9) is sleeved on the surface of the movable piston (384), and the surface of the sealing ring (9) is in sliding contact with the inner wall of the fixed cylinder (381), and the space between the movable piston (384) and the bottom of the fixed cylinder (381) is filled with oil.

5. The intelligent traffic condition real-time monitoring device according to claim 2 is characterized in that: The radar monitoring component (4) comprises a protective shell (41), the protective shell (41) is bolted to the top of the mounting shell (31), and the front and rear sides of the protective shell (41) are bolted with a radar monitor (42), the top of the protective shell (41) is bolted with a fixed shell (43), and the fixed shell (43) is rotatably connected to a screw rod (44), the surface of the screw rod (44) is threadedly connected with a screw block (45), and the other end of the screw block (45) extends to the outside of the fixed shell (43), and the screw block (45) is bolted with a brush plate (46) on one side close to the protective shell (41), and the brush plate (46) is in contact with the protective shell (41) on one side close to the protective shell (41).

6. The intelligent traffic condition real-time monitoring device according to claim 1 is characterized in that: The data processing module (82) comprises a microprocessor (821), the output end of the microprocessor (821) is unidirectionally electrically connected to a data fusion unit (822), and the output end of the data fusion unit (822) is unidirectionally electrically connected to a data analysis unit (823), the output end of the data analysis unit (823) is unidirectionally electrically connected to a storage (824), and the output end of the data analysis unit (823) is unidirectionally electrically connected to the microprocessor (821).

7. The intelligent traffic condition real-time monitoring device according to claim 5 is characterized in that: The output end of the central processor (81) is unidirectionally electrically connected to the ground sensing coil monitor (33) and the radar monitor (42), respectively, and the output ends of the ground sensing coil monitor (33) and the radar monitor (42) are unidirectionally electrically connected to the data processing module (82).

8. The intelligent traffic condition real-time monitoring device according to claim 6 is characterized in that: The data fusion unit (822) and the data analysis unit (823) respectively use a data fusion algorithm and a data analysis algorithm to process the collected data. The data fusion algorithm uses a weighted average method and a Kalman filter method, and the data analysis algorithm includes traffic flow statistics, vehicle speed calculation, congestion judgment and accident risk assessment.

9. The intelligent traffic condition real-time monitoring device according to claim 8, characterized in that: The process of data fusion algorithm includes the following steps: S1. Data collection: Get raw data from each sensor; S2. Data preprocessing: cleaning, denoising, calibration and other preprocessing operations are performed on the collected data; S3. Feature extraction: extract key features from the preprocessed data, such as vehicle position features, speed features, etc.; S4. Data fusion: Use appropriate data fusion algorithms, such as weighted average method, Kalman filter method, etc., to fuse the features of different sensors; S5. Fusion result output: output the fused road condition information.

10. The intelligent traffic condition real-time monitoring device according to claim 8, characterized in that: The process for the data analysis algorithm includes the following steps: S1. Input fused data; S2. Traffic flow statistics: count the number of vehicles passing through a specific road section within a period of time; S3. Vehicle speed calculation: Calculate the vehicle speed based on the position change of the vehicle at different time points; S4. Congestion judgment: when the traffic volume is large and the vehicle speed is significantly reduced, it is judged as congestion; S5. Accident risk assessment: Assess the accident risk by analyzing the vehicle's driving trajectory, speed changes and other factors; S6. Output analysis results: Output analysis results such as traffic flow, vehicle speed, congestion, and accident risk.

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