Tunnel traffic flow monitoring method and system

Abstract

The invention relates to the technical field of tunnel data acquisition, in particular to a tunnel traffic flow monitoring method and system, which comprises a monitoring end and a processing end, and is characterized in that the monitoring end comprises a main body shell, a mounting seat, a mounting shaft, a transparent ball cover, a connecting seat, a double-light-cylinder machine, a cleaning assembly and a first motor; the cleaning assembly comprises a connecting rod, a suction part, a response part, a brush and an auxiliary component, the connecting rod is fixedly connected with the connecting base, the suction part is fixedly connected with the connecting rod, the response part and the suction part attract each other, the brush is fixedly connected with the response part, and the auxiliary component is connected with the response part. The first motor drives the connecting rod and the attraction part to move while adjusting the double-light-cylinder machine, the response part and the brush are attracted to scrape on the outer wall of the transparent ball cover, the cleaning effect is achieved, accumulation of dust, water drops or mist on the outer wall of the transparent ball cover is reduced, and the definition and the view field range of the double-light-cylinder machine are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel data collection, and in particular to a tunnel vehicle flow monitoring method and system thereof. Background Art

[0002] Tunnel traffic flow monitoring can improve traffic efficiency, ensure driving safety, provide traffic data support, and study the characteristics of tunnel light environment, and propose reasonable solutions to solve the huge brightness difference inside and outside the tunnel. The traditional method is manual on-site collection, which consumes manpower.

[0003] The existing announcement number CN216057268U discloses a tunnel lighting and traffic flow data monitoring device based on image recognition. It adopts the DS-B2617-3 / PA dual-light barrel machine that can locate, track, display and transmit monitoring images in real time. It can locate and track all vehicles entering the tunnel throughout the entire journey, and record and capture the contour, color, license plate and other characteristic information of the vehicle. The vehicle characteristic information captured by different cameras in the same time period is compared, and the target vehicles with the same characteristic information are determined to be the same target vehicle. All identification processes determined to be the same vehicle are counted, and the monitoring images of the same vehicle identified by all monitoring cameras in the same time period are classified and numbered. At the same time, the time when the computer performs the classification and numbering is recorded, and the traffic flow data in the tunnel can be obtained, saving manpower.

[0004] However, the above-mentioned dual-light barrel camera is placed in a transparent ball cover, which is prone to accumulate dust, water droplets or fog, especially in conditions of high humidity or large temperature difference, which will affect the clarity and field of view of the dual-light barrel camera. Summary of the invention

[0005] The purpose of the present invention is to provide a tunnel vehicle flow monitoring method and system thereof, which solves the problem that the existing dual-light barrel machine is placed in a transparent ball cover, and the transparent ball cover is prone to accumulate dust, water droplets or fog, especially in high humidity or large temperature difference conditions, which will affect the clarity and field of view of the dual-light barrel machine.

[0006] To achieve the above object, the present invention provides a tunnel vehicle flow monitoring system, comprising a monitoring end and a processing end, wherein the monitoring end is connected to the processing end, the monitoring end is used to capture a monitoring image in the tunnel, and the processing end is used to calculate the vehicle flow in the tunnel according to the captured monitoring image;

[0007] The monitoring end includes a main body shell, a mounting seat, a mounting shaft, a transparent ball cover, a connecting seat, a dual-light barrel machine, a cleaning component and a first motor. The mounting seat is detachably connected to the main body shell and is located inside the main body shell. The mounting shaft is rotatably connected to the mounting seat. The output end of the first motor is connected to the mounting shaft and is located in the mounting seat. The transparent ball cover is detachably connected to the main body shell and is located below the main body shell. The connecting seat is fixedly connected to the mounting shaft and is located at one end of the mounting shaft away from the mounting seat. The cylinder machine is rotatably connected to the connecting seat and is located in the transparent ball cover. The cleaning assembly includes a connecting rod, an attraction member, a response member, a brush and an auxiliary component. The connecting rod is fixedly connected to the connecting seat and is located on a side of the connecting seat away from the dual-light cylinder machine. The attraction member is fixedly connected to the connecting rod and fits the inner wall of the transparent ball cover. The response member and the attraction member attract each other and are located outside the transparent ball cover. The brush is fixedly connected to the response member and fits the outer wall of the transparent ball cover. The auxiliary component is connected to the response member.

[0008] Wherein, the auxiliary component includes a guide rail and a guide block, the guide rail is fixedly connected to the transparent ball cover and is located above the transparent ball cover, and the guide block is fixedly connected to the response member and is slidably connected to the guide rail.

[0009] Wherein, the cleaning component further includes a heater and a dustproof net, the heater is connected to the mounting seat, the main body shell has a plurality of through holes, and the dustproof net is arranged at each of the through holes.

[0010] Wherein, the processing end includes an image recognition module and a data storage module, the image recognition module is connected to the dual-light barrel machine, and the data storage module is connected to the image recognition module;

[0011] The image recognition module is used to process the monitoring image and send the processed vehicle flow data to the data storage module;

[0012] The data storage module is used to receive and store data.

[0013] Wherein, the processing end further includes a control module, and the control module is connected to the data storage module;

[0014] The control module is used to view monitoring images and vehicle flow data in real time and perform corresponding operations and controls.

[0015] Wherein, the image processing and recognition module includes an image processing unit and a feature extraction unit, the image processing unit is connected to the dual-light barrel machine, and the feature extraction unit is connected to the image processing unit;

[0016] The image processing unit is pre-programmed with vehicle contours and color features for identifying possible vehicle areas in the monitoring image;

[0017] The feature extraction unit is used to extract feature information from the monitoring image, including the outline, color and license plate of the vehicle.

[0018] Wherein, the image processing and recognition module further comprises a comparison unit, and the comparison unit is connected to the feature extraction unit;

[0019] The comparison unit is used to compare the vehicle feature information captured by different dual-light barrel cameras in the same time period, identify target vehicles with the same feature information, and count all identification processes determined to be the same vehicle. All monitoring images of the same vehicle identified by the dual-light barrel cameras in the same time period are classified and numbered, and the time of classification and numbering is recorded to obtain the traffic flow data in the tunnel.

[0020] A method for monitoring tunnel vehicle flow, comprising the following steps:

[0021] The monitoring image in the tunnel is captured by the dual-light barrel machine and uploaded to the processing end;

[0022] The processing end calculates the vehicle flow in the tunnel based on the captured monitoring images.

[0023] A tunnel vehicle flow monitoring method and system of the present invention comprises the following steps: the main body shell is installed in the tunnel, the mounting seat is installed inside the main body shell by bolts, the first motor is arranged inside the mounting seat, the first motor drives the mounting shaft to rotate, and drives the connecting seat fixed below to rotate, the dual-light barrel machine is installed on the connecting seat, and another motor is used to drive the dual-light barrel machine to rotate in the longitudinal direction, so as to realize multi-angle shooting of the dual-light barrel machine, capture monitoring images in the tunnel, and upload them to the processing end for processing, and calculate the vehicle flow data, the connecting rod is fixed on the side of the connecting seat, and the connecting rod The attraction member is installed on the top, and the attraction member is always kept on the side of the dual-light barrel camera and will not affect its shooting. The attraction member and the response member attract each other, and the brush is placed between the attraction member and the response member, that is, the outer wall of the transparent ball cover. The auxiliary component supports the movement of the response member. The first motor adjusts the dual-light barrel camera while driving the connecting rod and the attraction member to move, attracting the response member and the brush to scrape the outer wall of the transparent ball cover to play a cleaning role, reduce the accumulation of dust, water droplets or fog on the outer wall of the transparent ball cover, and ensure the clarity and field of view of the dual-light barrel camera. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0025] Figure 1 is a cross-sectional view of the monitoring end of the first embodiment of the present invention.

[0026] Figure 2 The present invention Figure 1 Enlarged view of point A.

[0027] Figure 3 It is a principle block diagram of the processing end of the first embodiment of the present invention.

[0028] Figure 4 It is a principle block diagram of the image recognition module of the first embodiment of the present invention.

[0029] Figure 5 It is a principle block diagram of a control module according to the first embodiment of the present invention.

[0030] Figure 6 It is a flow chart of the steps of the tunnel vehicle flow monitoring method according to the second embodiment of the present invention.

[0031] In the figure: 101-processing end, 102-main body shell, 103-mounting seat, 104-mounting shaft, 105-transparent ball cover, 106-connecting seat, 107-dual-light barrel machine, 108-first motor, 109-connecting rod, 110-attraction member, 111-response member, 112-brush, 113-guide rail, 114-guide block, 115-heater, 116-dustproof net, 117-image recognition module, 118-data storage module, 119-control module, 120-image processing unit, 121-feature extraction unit, 122-comparison unit, 123-display unit, 124-alarm unit, 125-operation unit, 126-through hole. DETAILED DESCRIPTION

[0032] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0033] The first embodiment of the present application is:

[0034] See also Figures 1 to 5 ,in, Figure 1 is a cross-sectional view of the monitoring end of the first embodiment of the present invention. Figure 2 The present invention Figure 1 Enlarged view of point A. Figure 3 It is a principle block diagram of the processing end 101 according to the first embodiment of the present invention. Figure 4is a principle block diagram of the image recognition module 117 according to the first embodiment of the present invention. Figure 5 It is a principle block diagram of the control module 119 according to the first embodiment of the present invention.

[0035] The present invention provides a tunnel vehicle flow monitoring system: comprising a monitoring end and a processing end 101, wherein the monitoring end comprises a main body shell 102, a mounting seat 103, a mounting shaft 104, a transparent ball cover 105, a connecting seat 106, a double-light cylinder machine 107, a cleaning component and a first motor 108, wherein the cleaning component comprises a connecting rod 109, an attracting member 110, a responding member 111, a brush 112, an auxiliary component, a heater 115 and a dustproof net 116, wherein the auxiliary component comprises a guide rail 113 and a guide block 114, wherein the main body shell 102 has a plurality of through holes 126, and the processing end 101 It includes an image recognition module 117, a data storage module 118 and a control module 119. The image processing and recognition module includes an image processing unit 120, a feature extraction unit 121 and a comparison unit 122. The control module 119 includes a display unit 123, an alarm unit 124 and an operation unit 125. The above-mentioned solution solves the problem that the existing dual-barrel machine 107 is placed in a transparent ball cover 105, and the transparent ball cover 105 is prone to accumulate dust, water droplets or fog, especially in high humidity or large temperature differences. This will affect the clarity and field of view of the dual-barrel machine 107.

[0036] According to the present specific implementation, the monitoring end is connected to the processing end 101, the monitoring end is used to capture the monitoring image in the tunnel, and the processing end 101 is used to calculate the vehicle flow in the tunnel according to the captured monitoring image; the mounting seat 103 is detachably connected to the main shell 102 and is located inside the main shell 102, the mounting shaft 104 is rotatably connected to the mounting seat 103, the output end of the first motor 108 is connected to the mounting shaft 104 and is located inside the mounting seat 103, the transparent ball cover 105 is detachably connected to the main shell 102 and is located below the main shell 102, the connecting seat 106 is fixedly connected to the mounting shaft 104 and is located At one end of the mounting shaft 104 away from the mounting seat 103, the dual-cylinder machine 107 is rotatably connected to the connecting seat 106 and is located in the transparent ball cover 105. The connecting rod 109 is fixedly connected to the connecting seat 106 and is located on the side of the connecting seat 106 away from the dual-cylinder machine 107. The attraction member 110 is fixedly connected to the connecting rod 109 and fits the inner wall of the transparent ball cover 105. The response member 111 and the attraction member 110 attract each other and are located outside the transparent ball cover 105. The brush 112 is fixedly connected to the response member 111 and fits the outer wall of the transparent ball cover 105. The auxiliary component is connected to the response member 111.

[0037] The main shell 102 is installed in the tunnel, and the mounting base 103 is installed inside by bolts. The first motor 108 is arranged in the mounting base 103. The first motor 108 drives the mounting shaft 104 to rotate, and drives the connecting base 106 fixed at the bottom of the mounting shaft 104 to rotate. The dual-light barrel machine 107 is rotatably installed on the connecting base 106. The dual-light barrel machine 107 is driven by another motor to rotate in the longitudinal direction, thereby realizing multi-angle rotation shooting of the dual-light barrel machine 107. The dual-light barrel machine 107 captures the monitoring image in the tunnel and uploads it to the processing end 101. The processing end 101 processes and calculates the monitoring image to obtain the traffic flow data in the tunnel. The transparent ball The cover 105 is made of transparent glass or other materials, and is arranged on the outside of the dual-barrel camera 107 to play a protective role. The connecting rod 109 is installed on the side of the connecting seat 106, and the other end of the connecting rod 109 is installed with the attraction member 110. The attraction member 110 and the response member 111 can be magnets and iron blocks that attract each other, so that the response member 111 moves following the attraction of the attraction member 110. The brush 112 is installed on the response member 111, and the brush 112 wipes and cleans the outer wall of the transparent ball cover 105. The auxiliary component supports the movement of the corresponding member. The attraction member 110 is kept on the side of the dual-barrel camera 107 and will not hinder its shooting.

[0038] The guide rail 113 is fixedly connected to the transparent ball cover 105 and is located above the transparent ball cover 105. The guide block 114 is fixedly connected to the response member 111 and is slidably connected to the guide rail 113. The guide rail 113 and the guide block 114 cooperate with each other so that the guide block 114 slides along the guide rail 113. One side of the guide block 114 fixes the response member 111, thereby supporting the movement of the response member 111.

[0039] Secondly, the heater 115 is connected to the mounting base 103, and the main housing 102 has a plurality of through holes 126, each of which is provided with a dustproof net 116. The plurality of through holes 126 dissipate heat for the components inside the main housing 102, and the dustproof net 116 prevents dust from entering the interior of the main housing 102. When the heater 115 is heated, the mist inside the transparent ball cover 105 can be eliminated, and the dehumidification function can be achieved.

[0040] At the same time, the image recognition module 117 is connected to the dual-light barrel machine 107, and the data storage module 118 is connected to the image recognition module 117;

[0041] The image recognition module 117 is used to process the monitoring image and send the processed vehicle flow data to the data storage module 118;

[0042] The data storage module 118 is used to receive and store data.

[0043] The control module 119 is connected to the data storage module 118;

[0044] The control module 119 is used to view monitoring images and vehicle flow data in real time and perform corresponding operations and controls.

[0045] The image processing unit 120 is connected to the dual-optical barrel machine 107, and the feature extraction unit 121 is connected to the image processing unit 120;

[0046] The image processing unit 120 is pre-programmed with vehicle contours and color features for identifying possible vehicle areas in the monitoring image;

[0047] The feature extraction unit 121 is used to extract feature information from the monitoring image, including the outline, color and license plate of the vehicle.

[0048] The comparison unit 122 is connected to the feature extraction unit 121;

[0049] The comparison unit 122 is used to compare the vehicle feature information captured by different dual-light barrel cameras 107 in the same time period, identify the target vehicles with the same feature information, and count all the identification processes determined to be the same vehicle, classify and number all the monitoring images of the same vehicle identified by the dual-light barrel camera 107 in the same time period, and record the time of classification and numbering to obtain the traffic flow data in the tunnel.

[0050] The display unit 123 is connected to the data storage module 118, the alarm unit 124 is connected to the data storage unit, and the operation unit 125 is connected to the first motor 108 and the heater 115 respectively;

[0051] The display unit 123 is used to display real-time monitoring images and vehicle flow data;

[0052] The alarm unit 124 is used to send out an alarm signal when the traffic flow is abnormal or other emergency situations occur;

[0053] The operating unit 125 is used to operate and control the monitoring terminal.

[0054] The dual-light barrel camera 107 captures monitoring images in the tunnel and transmits these images to the image recognition module 117 in real time. The image processing unit 120 in the image recognition module 117 uses the pre-programmed vehicle contour and color features to identify possible vehicle areas in the monitoring image. Then, the feature extraction unit 121 extracts the vehicle contour, color, license plate and other feature information from the identified vehicle area. The comparison unit 122 receives the vehicle feature information from the feature extraction unit 121, and compares the vehicle feature information captured by different dual-light barrel cameras 107 in the same time period. Through the comparison, the target vehicle with the same feature information is identified, and all identification processes determined to be the same vehicle are counted. At the same time, the comparison unit 122 classifies and numbers all monitoring images of the same vehicle identified by the dual-light barrel camera 107 in the same time period, and records the time of classification and numbering, thereby generating The data storage module 118 receives the traffic flow data from the image recognition module 117 and stores it for subsequent query and analysis. The display unit 123 is connected to the data storage module 118 to display the monitoring image and traffic flow data in the tunnel in real time, so that the operator can intuitively understand the traffic conditions in the tunnel. The alarm unit 124 monitors the traffic flow data in real time. When abnormal traffic flow or other emergency situations are found, an alarm signal is immediately issued to remind the operator to take corresponding measures. The operating unit 125 allows the operator to perform various operations and controls on the monitoring end, such as adjusting the angle, focal length and other parameters of the dual-light barrel machine 107, or initiating other emergency response measures. The operator monitors the system operation status and traffic flow data in real time through the control module 119, and makes corresponding adjustments and optimizations as needed to ensure that the system can operate continuously and stably and provide accurate monitoring information.

[0055] A tunnel vehicle flow monitoring system using the present embodiment is installed in the tunnel by the main housing 102 to ensure a stable installation. The mounting seat 103 is installed inside the main housing 102 by bolts. The mounting seat 103 is provided with the first motor 108 for driving the mounting shaft 104 and the connecting seat 106 to rotate, thereby realizing multi-angle rotation shooting of the dual-light barrel machine 107. The transparent ball cover 105 is provided on the outside of the dual-light barrel machine 107 to play a protective role. When adjusting the horizontal position of the dual-light barrel machine 107, the connecting rod 109 rotates with the connecting seat 106, driving the attracting member 110 and the responding member 111 to move together, and then the brush 112 wipes the outer wall of the transparent ball cover 105 to play a cleaning role. During monitoring, the dual-light barrel machine 107 starts to capture the monitoring image in the tunnel and transmits it to the image recognition module 117 in real time. The image processing unit 120 uses the pre-programmed vehicle contour and color features to identify the vehicle in the monitoring image. Possible vehicle areas are identified, and the feature extraction unit 121 extracts feature information such as the vehicle's outline, color, and license plate from the identified vehicle area. The comparison unit 122 receives the feature information and compares the vehicle feature information captured by different dual-light barrel cameras 107 in the same time period, identifies target vehicles with the same feature information, and counts and classifies them. The data storage module 118 receives the traffic flow data from the image recognition module 117 and stores it for subsequent query and analysis. The display unit 123 displays the monitoring images and traffic flow data in the tunnel in real time, so that the operator can intuitively understand the traffic conditions in the tunnel. The alarm unit 124 monitors the traffic flow data in real time, and immediately sends out an alarm signal when abnormal traffic flow or other emergency situations are found. The operation unit 125 allows the operator to perform various operations and controls on the monitoring end, such as adjusting the angle, focal length and other parameters of the dual-light barrel camera 107, or initiating other emergency response measures. By driving the first motor 108 and another motor, the dual-light barrel camera 107 can realize multi-angle rotation shooting, thereby improving the coverage and accuracy of monitoring. The cleaning assembly composed of the connecting rod 109, the attracting member 110, the responding member 111 and the brush 112 can automatically wipe the outer wall of the transparent ball cover 105, effectively solving the problem that the transparent ball cover 105 is prone to accumulation of dust, water droplets or fog, especially in the case of high humidity or large temperature difference, ensuring the clarity and field of view of the dual-light barrel camera 107, and the heater 115 can eliminate the fog in the transparent ball cover 105 when heating, thereby playing a dehumidifying role.At the same time, the through hole 126 on the main housing 102 is provided with the dustproof net 116, which prevents dust from entering the interior of the main housing 102, ensures the stable operation of the system, monitors the traffic conditions in the tunnel in real time, and issues an alarm signal when the traffic volume is abnormal or other emergencies occur, reminding the operator to take corresponding measures, thereby improving the efficiency and safety of tunnel traffic management. The operating unit 125 allows the operator to perform various operations and controls on the monitoring end, such as adjusting the parameters of the dual-light barrel machine 107. At the same time, the modules and components of the system are tightly connected, easy to disassemble and replace, and convenient for system maintenance and upgrading.

[0056] The second embodiment of the present application is:

[0057] Based on the first embodiment, please refer to Figure 6 ,in, Figure 6 It is a flow chart of the steps of the tunnel vehicle flow monitoring method according to the second embodiment of the present invention.

[0058] The tunnel vehicle flow monitoring method of this embodiment includes the following steps:

[0059] S201: Capturing the monitoring image in the tunnel through the dual-light barrel machine 107 and uploading it to the processing end 101;

[0060] S202: The processing end 101 calculates the vehicle flow in the tunnel according to the captured monitoring images.

[0061] Specifically, the dual-light barrel machine 107 installed in the tunnel is used to capture real-time monitoring images. These images not only contain the traffic conditions in the tunnel, but also cover key information such as the type, color, speed and position of the vehicle. Subsequently, these captured images are uploaded to the processing end 101 in real time, providing basic data for subsequent image recognition and processing. After receiving the monitoring images, the processing end 101 will use advanced image recognition and processing technology to conduct in-depth analysis of these images. By identifying vehicle features in the image, such as contours, colors, etc., it is possible to accurately determine which areas have vehicles, and further calculate the traffic volume in the tunnel. This step not only provides real-time traffic volume data, but also provides strong support for subsequent traffic management and optimization.

[0062] What is disclosed above is only one or more preferred embodiments of the present application, and cannot be used to limit the scope of rights of the present application. Ordinary technicians in this field can understand that all or part of the processes of implementing the above embodiments and equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A tunnel traffic flow monitoring system, characterized in that: The system comprises a monitoring end and a processing end, wherein the monitoring end is connected to the processing end, the monitoring end is used to capture monitoring images in the tunnel, and the processing end is used to calculate the vehicle flow in the tunnel according to the captured monitoring images; The monitoring end includes a main body shell, a mounting seat, a mounting shaft, a transparent ball cover, a connecting seat, a dual-light barrel machine, a cleaning component and a first motor. The mounting seat is detachably connected to the main body shell and is located inside the main body shell. The mounting shaft is rotatably connected to the mounting seat. The output end of the first motor is connected to the mounting shaft and is located in the mounting seat. The transparent ball cover is detachably connected to the main body shell and is located below the main body shell. The connecting seat is fixedly connected to the mounting shaft and is located at one end of the mounting shaft away from the mounting seat. The cylinder machine is rotatably connected to the connecting seat and is located in the transparent ball cover. The cleaning assembly includes a connecting rod, an attraction member, a response member, a brush and an auxiliary component. The connecting rod is fixedly connected to the connecting seat and is located on a side of the connecting seat away from the dual-light cylinder machine. The attraction member is fixedly connected to the connecting rod and fits the inner wall of the transparent ball cover. The response member and the attraction member attract each other and are located outside the transparent ball cover. The brush is fixedly connected to the response member and fits the outer wall of the transparent ball cover. The auxiliary component is connected to the response member.

2. The tunnel vehicle flow monitoring system according to claim 1, characterized in that: The auxiliary component comprises a guide rail and a guide block. The guide rail is fixedly connected to the transparent ball cover and is located above the transparent ball cover. The guide block is fixedly connected to the response member and is slidably connected to the guide rail.

3. The tunnel vehicle flow monitoring system according to claim 1, characterized in that: The cleaning component also includes a heater and a dustproof net. The heater is connected to the mounting seat. The main shell has a plurality of through holes, and the dustproof net is arranged at each of the through holes.

4. The tunnel vehicle flow monitoring system according to claim 1, characterized in that: The processing end includes an image recognition module and a data storage module, the image recognition module is connected to the dual-light barrel machine, and the data storage module is connected to the image recognition module; The image recognition module is used to process the monitoring image and send the processed vehicle flow data to the data storage module; The data storage module is used to receive and store data.

5. The tunnel vehicle flow monitoring system according to claim 4, characterized in that: The processing end also includes a control module, and the control module is connected to the data storage module; The control module is used to view monitoring images and vehicle flow data in real time and perform corresponding operations and controls.

6. The tunnel vehicle flow monitoring system according to claim 4, characterized in that: The image processing and recognition module includes an image processing unit and a feature extraction unit, wherein the image processing unit is connected to the dual-light barrel machine, and the feature extraction unit is connected to the image processing unit; The image processing unit is pre-programmed with vehicle contours and color features for identifying possible vehicle areas in the monitoring image; The feature extraction unit is used to extract feature information from the monitoring image, including the outline, color and license plate of the vehicle.

7. The tunnel vehicle flow monitoring system according to claim 6, characterized in that: The image processing and recognition module further comprises a comparison unit, and the comparison unit is connected to the feature extraction unit; The comparison unit is used to compare the vehicle feature information captured by different dual-light barrel cameras in the same time period, identify target vehicles with the same feature information, and count all identification processes determined to be the same vehicle. All monitoring images of the same vehicle identified by the dual-light barrel cameras in the same time period are classified and numbered, and the time of classification and numbering is recorded to obtain the traffic flow data in the tunnel.

8. A tunnel vehicle flow monitoring method, applicable to the tunnel vehicle flow monitoring system as claimed in claim 1, characterized in that: The following steps are involved: The monitoring image in the tunnel is captured by the dual-light barrel machine and uploaded to the processing end; The processing end calculates the vehicle flow in the tunnel based on the captured monitoring images.

Images