Intelligent guardrail status monitoring method and system

Abstract

The present invention discloses a method and system for monitoring the status of an intelligent guardrail, which belongs to the field of intelligent guardrail monitoring technology and is used to solve the technical problems of low alarm accuracy and lack of effective means for verifying alarm information in current intelligent guardrail monitoring methods. The method comprises: generating a corresponding monitoring equipment laying plan for a monitoring section; wherein the monitoring equipment laying plan includes a camera node laying plan, a laser radar node laying plan, and a communication node laying plan; detecting first abnormal information of the intelligent guardrail by using a camera laid in the monitoring section; detecting second abnormal information of the intelligent guardrail by using a laser radar laid in the monitoring section; performing bidirectional verification on the first abnormal information and the second abnormal information to obtain comprehensive abnormal information of the intelligent guardrail; and sending the comprehensive abnormal information to a road management center via the shortest communication link.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent guardrail monitoring, and in particular to an intelligent guardrail status monitoring method and system. Background Art

[0002] Guardrails are the most basic traffic protection facilities on highways and urban roads, playing a vital role in traffic prevention. During traffic accidents, guardrail collisions are common, as drivers can easily lose control and collide with guardrails due to fatigue, speeding, or unexpected circumstances.

[0003] To address the challenges of guardrail anomalies, which often prevent road management personnel from promptly identifying and addressing guardrail damage, a new generation of intelligent guardrails has emerged. Leveraging precise sensing and IoT technologies, these intelligent guardrails detect multiple parameters, including guardrail tilt, displacement, and vibration, in real time. These data are then transmitted to road management terminals via the internet, enabling real-time intelligent monitoring of guardrails and automated warnings of anomalies.

[0004] However, the current intelligent guardrail monitoring method has low alarm accuracy and lacks effective means to verify the alarm information. It is easy for maintenance personnel to make a wasted trip due to false alarms. Especially on highways, it takes a long time and a long distance to reach the alarm location. If it is discovered to be a false alarm after arrival, it will waste a lot of time, manpower and material resources, and reduce the efficiency of highway operation and maintenance. Summary of the Invention

[0005] The embodiments of the present invention provide a method and system for monitoring the status of an intelligent guardrail, which are used to solve the following technical problems: the current intelligent guardrail monitoring method has low alarm accuracy and lacks effective means to verify the alarm information.

[0006] The embodiment of the present invention adopts the following technical solutions:

[0007] In one aspect, an embodiment of the present invention provides a method for monitoring the status of an intelligent guardrail, the method comprising: generating a corresponding monitoring equipment deployment plan for a monitored road section; wherein the monitoring equipment deployment plan includes a camera node deployment plan, a lidar node deployment plan, and a communication node deployment plan;

[0008] Detecting the first abnormal information of the smart guardrail by monitoring the cameras laid in the road section;

[0009] By monitoring the laser radar installed in the road section, the second abnormal information of the smart guardrail is detected;

[0010] Performing bidirectional verification on the first abnormal information and the second abnormal information to obtain comprehensive abnormal information of the smart guardrail;

[0011] The comprehensive abnormality information is sent to the road management center via the shortest communication link.

[0012] In a feasible implementation, generating a corresponding monitoring equipment installation plan for a monitoring section specifically includes:

[0013] Obtaining the guardrail shooting distance of the camera at a first preset installation height and the guardrail scanning distance of the laser radar at a second preset installation height;

[0014] Generate the camera node laying plan and the lidar node laying plan according to the guardrail shooting distance and the guardrail scanning distance;

[0015] Determine the communication node laying plan based on the camera node laying plan and the lidar node laying plan.

[0016] In a feasible implementation, the camera node layout plan and the lidar node layout plan are generated according to the guardrail shooting distance and the guardrail scanning distance, specifically including:

[0017] Let the camera's guardrail shooting distance be x, and the laser radar's guardrail scanning distance be y;

[0018] Two laser radars are grouped together and installed in opposite directions to form a set of bidirectional laser radars; the guardrail scanning distance of the bidirectional laser radar is 2y;

[0019] If x ≥ 2y, then 2y is used as the spacing between the cameras for paving, and the bidirectional laser radar is installed at the midpoint of every two cameras to obtain the camera node paving plan and the laser radar node paving plan;

[0020] If x<2y, then x is used as the spacing distance of the cameras for laying out, and 2y is used as the spacing distance of the two-way laser radar for laying out, to obtain the camera node laying plan and the laser radar node laying plan.

[0021] In a feasible implementation, determining the communication node laying plan according to the camera node laying plan and the lidar node laying plan specifically includes:

[0022] A ZigBee communication node is installed on each camera and lidar, and the aggregation node is laid out based on the coverage range of the aggregation node to obtain the communication node laying plan; the aggregation node is used to aggregate the information uploaded by the ZigBee communication nodes within the coverage range and send it to the road management center, as well as to issue instructions issued by the road management center.

[0023] In a feasible implementation, detecting the first abnormal information of the smart guardrail by monitoring cameras installed in the road section specifically includes:

[0024] The camera regularly captures image data of the smart guardrail;

[0025] Segment the image data based on a preset segmentation method to obtain an image of the area where the smart guardrail is located;

[0026] Performing edge enhancement on the area image, and identifying the smart guardrail target in the enhanced area image based on a lightweight image recognition model carried by the camera;

[0027] Extract edge features of the smart guardrail target, and determine first abnormality information of the smart guardrail based on the edge features; wherein the first abnormality information at least includes: first tilt data, first displacement data, and first deformation data.

[0028] In a feasible implementation, detecting the second abnormal information of the smart guardrail by monitoring a laser radar installed in the road section specifically includes:

[0029] The laser radar is used to periodically acquire point cloud data of the intelligent guardrail;

[0030] Filter the acquired point cloud data to remove noise data;

[0031] Extract target point cloud data corresponding to the intelligent guardrail from the filtered point cloud data;

[0032] The target point cloud data is compared with the initial point cloud data to identify second abnormal information of the smart guardrail; wherein the second abnormal information at least includes: second tilt data, second displacement data and second deformation data.

[0033] In a feasible implementation, bidirectional verification is performed on the first abnormal information and the second abnormal information to obtain comprehensive abnormal information of the smart guardrail, specifically including:

[0034] Comparing the first abnormality information with the corresponding data in the second abnormality information, and if the difference between the two is less than a preset threshold, calculating the average of the first abnormality information and the second abnormality information as the comprehensive abnormality information;

[0035] If the difference between the two is greater than or equal to the preset threshold, the camera and lidar will be immediately awakened for a second acquisition, and the second acquisition results will be re-compared. If it is still greater than or equal to the preset threshold, no abnormal information will be reported, and the collected image data and point cloud data will be uploaded to the road management center through the communication node.

[0036] In a feasible implementation, the comprehensive abnormality information is sent to the road management center via the shortest communication link, specifically including:

[0037] Sending the determined comprehensive abnormality information to the nearest communication node;

[0038] Determine the location of the nearest road management center based on the location of the communication node that receives the comprehensive abnormal information, and determine the shortest communication link to the nearest road management center;

[0039] The comprehensive abnormality information and alarm information are sent to the nearest road management center via the shortest communication link.

[0040] In a feasible implementation manner, after sending the comprehensive abnormality information to the road management center via the shortest communication link, the method further includes:

[0041] Based on each data in the comprehensive abnormality information, a corresponding maintenance reference plan is matched in the road management center database, and the maintenance reference plan is sent to the road management personnel terminal together with the comprehensive abnormality information.

[0042] On the other hand, an embodiment of the present invention further provides an intelligent guardrail status monitoring system, the system comprising:

[0043] A monitoring equipment setting module is used to generate a corresponding monitoring equipment laying plan for the monitored road section; wherein the monitoring equipment laying plan includes a camera node laying plan, a lidar node laying plan, and a communication node laying plan;

[0044] A monitoring module is configured to detect first abnormality information of the smart guardrail by using a camera installed in the monitoring section; and detect second abnormality information of the smart guardrail by using a laser radar installed in the monitoring section;

[0045] a verification module, configured to perform bidirectional verification on the first abnormality information and the second abnormality information to obtain comprehensive abnormality information of the smart guardrail;

[0046] The transmission module is used to send the comprehensive abnormality information to the road management center through the shortest communication link.

[0047] Compared with the prior art, the intelligent guardrail status detection method and system provided by the embodiments of the present invention have the following beneficial effects:

[0048] The present invention not only lays out two sets of monitoring equipment through a reasonable laying plan, but also performs two-way verification of the status of the intelligent guardrail through the two monitoring results of the camera and the lidar, thereby ensuring that the alarm information transmitted to the management terminal is more accurate, reducing the situation where road maintenance personnel make wasted trips due to false alarms, and greatly improving the maintenance efficiency of intelligent guardrails on highways.

[0049] The present invention also provides a communication link establishment solution, which enables alarm data to be transmitted to the management terminal faster and more stably through a reasonable communication solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments described in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0051] Figure 1 A flow chart of a method for monitoring the status of an intelligent guardrail provided in an embodiment of the present invention;

[0052] Figure 2 A schematic structural diagram of an intelligent guardrail status monitoring system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0054] The embodiment of the present invention provides a method for monitoring the state of an intelligent guardrail. Figure 1 As shown, the intelligent guardrail status monitoring method specifically includes steps S101-S105:

[0055] S101. Generate a corresponding monitoring equipment installation plan for the monitoring road section.

[0056] Specifically, the monitoring equipment laying plan includes a camera node laying plan, a lidar node laying plan, and a communication node laying plan.

[0057] First, the camera's guardrail shooting distance at a first preset installation height and the LiDAR's guardrail scanning distance at a second preset installation height are obtained. Based on the guardrail shooting distance and guardrail scanning distance, a camera node layout plan and a LiDAR node layout plan are generated.

[0058] Furthermore, the communication node laying plan is determined based on the camera node laying plan and the lidar node laying plan.

[0059] As a feasible implementation method, let the guardrail shooting distance of the camera be x, and the guardrail scanning distance of the laser radar be y. Group two laser radars and install them in opposite directions to form a group of two-way laser radars. The guardrail scanning distance of the two-way laser radar is 2y. If x ≥ 2y, 2y is used as the spacing distance between the cameras for laying, and the two-way laser radar is installed at the midpoint of every two cameras to obtain the camera node laying plan and the laser radar node laying plan. If x < 2y, x is used as the spacing distance between the cameras for laying, and 2y is used as the spacing distance between the two-way laser radars for laying, to obtain the camera node laying plan and the laser radar node laying plan.

[0060] The present invention groups two laser radars into a group to form a bidirectional laser radar, so that its scanning distance is close to the field of view of the camera. Then, the paving plan is selected according to the field of view of the two. This can minimize the number of devices used and save costs while ensuring coverage of the guardrails of the entire monitored road section.

[0061] Furthermore, a ZigBee communication node is installed on each camera and lidar, and the aggregation node is laid out based on the coverage of the aggregation node to obtain a communication node laying plan; the aggregation node is used to aggregate the information uploaded by the ZigBee communication nodes within the coverage area and send it to the road management center, as well as to issue instructions issued by the road management center.

[0062] The present invention constructs a ZigBee network through the ZigBee communication protocol, which can ensure that the data collected by the monitoring equipment is transmitted to the road management center quickly and stably.

[0063] S102: Detect first abnormal information of the smart guardrail by monitoring cameras installed in the road section.

[0064] Specifically, the camera regularly captures image data of the smart guardrail, and then segments the image data based on a preset segmentation method to obtain an image of the area where the smart guardrail is located.

[0065] Furthermore, the area image is edge-enhanced, and the smart guardrail target in the enhanced area image is identified based on a lightweight image recognition model onboard the camera. Edge features of the smart guardrail target are extracted, and based on the edge features, first abnormality information of the smart guardrail is determined; the first abnormality information includes at least first tilt data, first displacement data, and first deformation data.

[0066] As a feasible implementation, each camera in the monitored road section performs timed recording. Based on the accident rates of different highway sections, the timer can be adjusted accordingly, making the recording frequency more suitable for different highway sections. The captured image data is then segmented to obtain regional images containing the smart guardrail, reducing the model's computational workload. After edge enhancement, the regional images are input into the onboard lightweight image recognition model for image recognition, which extracts more distinct edge features and identifies data such as the smart guardrail's tilt angle, displacement distance, and degree of deformation.

[0067] S103. Detect the second abnormal information of the smart guardrail by monitoring the laser radar installed in the road section.

[0068] Specifically, the laser radar is used to regularly acquire point cloud data of the intelligent guardrail, and the acquired point cloud data is filtered to remove noise data.

[0069] Furthermore, target point cloud data corresponding to the smart guardrail is extracted from the filtered point cloud data. The target point cloud data is compared with the initial point cloud data to identify second abnormal information of the smart guardrail; wherein the second abnormal information includes at least: second tilt data, second displacement data, and second deformation data.

[0070] As a feasible implementation, each LiDAR installed along the monitored road section periodically scans the smart guardrail. Based on the accident rates of different highway sections, the timing can be adjusted accordingly, making the scanning frequency more suitable for each highway section. The LiDAR cloud is then pre-processed through filtering and denoising to extract target point cloud data for the smart guardrail. This data is then compared with the pre-stored initial point cloud data. Based on this comparison, the guardrail's tilt angle, displacement distance, and degree of deformation are calculated.

[0071] S104: Perform bidirectional verification on the first abnormal information and the second abnormal information to obtain comprehensive abnormal information of the smart guardrail.

[0072] Specifically, the corresponding data in the first abnormal information and the second abnormal information are compared. If the difference between the two is less than a preset threshold, the average value of the first abnormal information and the second abnormal information is calculated as the comprehensive abnormal information.

[0073] Furthermore, if the difference between the two is greater than or equal to a preset threshold, the camera and lidar will be immediately awakened for a second acquisition, and the second acquisition results will be re-compared. If it is still greater than or equal to the preset threshold, no abnormal information will be reported, and the collected image data and point cloud data will be uploaded to the road management center through the communication node.

[0074] S105. Send the comprehensive abnormality information to the road management center via the shortest communication link.

[0075] Specifically, the determined comprehensive anomaly information is sent to the nearest communication node. Based on the location of the communication node that received the comprehensive anomaly information, the nearest road management center is located, and the shortest communication link to the nearest road management center is determined. The comprehensive anomaly information and alarm information are sent to the nearest road management center via the shortest communication link.

[0076] Furthermore, based on each data in the comprehensive abnormality information, a corresponding maintenance reference plan is matched in the road management center database, and the maintenance reference plan is sent to the road management personnel terminal together with the comprehensive abnormality information.

[0077] In addition, the embodiment of the present invention also provides an intelligent guardrail status monitoring system, such as Figure 2 As shown, the intelligent guardrail status monitoring system 200 specifically includes:

[0078] The monitoring equipment setting module 210 is used to generate a corresponding monitoring equipment laying plan for the monitored road section; wherein the monitoring equipment laying plan includes a camera node laying plan, a lidar node laying plan, and a communication node laying plan;

[0079] The monitoring module 220 is configured to detect first abnormality information of the smart guardrail by using a camera installed in the monitoring section; and detect second abnormality information of the smart guardrail by using a laser radar installed in the monitoring section;

[0080] A verification module 230 is configured to perform bidirectional verification on the first abnormality information and the second abnormality information to obtain comprehensive abnormality information of the smart guardrail;

[0081] The transmission module is used to send the comprehensive abnormality information to the road management center through the shortest communication link.

[0082] The present invention not only lays out two sets of monitoring equipment through a reasonable laying plan, but also performs two-way verification of the status of the intelligent guardrail through the two monitoring results of the camera and the lidar, thereby ensuring that the alarm information transmitted to the management terminal is more accurate, reducing the situation where road maintenance personnel make wasted trips due to false alarms, and greatly improving the maintenance efficiency of intelligent guardrails on highways.

[0083] The present invention also provides a communication link establishment solution, which enables alarm data to be transmitted to the management terminal faster and more stably through a reasonable communication solution.

[0084] The systems, devices, modules, or units described in the above embodiments may be implemented by computer chips or entities, or by products having certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0085] For the convenience of description, the above devices are described as being divided into various units according to their functions. Of course, when implementing this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0086] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0088] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0089] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0090] This specification may be described in the general context of computer-executable instructions, such as program modules, executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media, including storage devices.

[0091] The various embodiments of the present invention are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are simplified. For relevant details, refer to the descriptions of the method embodiments.

[0092] The above description of specific embodiments of the present invention is provided. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0093] The foregoing is merely an embodiment of the present invention and is not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations may be made to the embodiments of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for monitoring the status of an intelligent guardrail, characterized in that: The method comprises: Generate a corresponding monitoring equipment deployment plan for the monitored road section; wherein the monitoring equipment deployment plan includes a camera node deployment plan, a lidar node deployment plan, and a communication node deployment plan; Detecting the first abnormal information of the smart guardrail by monitoring the cameras laid in the road section; By monitoring the laser radar installed in the road section, the second abnormal information of the smart guardrail is detected; Performing bidirectional verification on the first abnormal information and the second abnormal information to obtain comprehensive abnormal information of the smart guardrail; Sending the comprehensive abnormal information to the road management center via the shortest communication link; Generate corresponding monitoring equipment laying plan for the monitoring section, including: Obtaining the guardrail shooting distance of the camera at a first preset installation height and the guardrail scanning distance of the laser radar at a second preset installation height; According to the guardrail shooting distance and the guardrail scanning distance, the camera node laying plan and the lidar node laying plan are generated, specifically including: Let the camera's guardrail shooting distance be x, and the laser radar's guardrail scanning distance be y; Two laser radars are grouped together and installed in opposite directions to form a set of bidirectional laser radars; the guardrail scanning distance of the bidirectional laser radar is 2y; If x ≥ 2y, then 2y is used as the spacing between the cameras for paving, and the bidirectional laser radar is installed at the midpoint of every two cameras to obtain the camera node paving plan and the laser radar node paving plan; If x<2y, then x is used as the spacing distance of the cameras for paving, and 2y is used as the spacing distance of the bidirectional laser radar for paving, to obtain the camera node paving plan and the laser radar node paving plan; Determine the communication node layout plan based on the camera node layout plan and the lidar node layout plan, specifically including: A ZigBee communication node is installed on each camera and lidar, and the aggregation node is laid out based on the coverage range of the aggregation node to obtain the communication node laying plan; the aggregation node is used to aggregate the information uploaded by the ZigBee communication nodes within the coverage range and send it to the road management center, as well as to issue instructions issued by the road management center.

2. The method for monitoring the state of an intelligent guardrail according to claim 1, characterized in that: The first abnormal information of the smart guardrail is detected by monitoring cameras installed in the road section, specifically including: The camera regularly captures image data of the smart guardrail; Segment the image data based on a preset segmentation method to obtain an image of the area where the smart guardrail is located; Performing edge enhancement on the area image, and identifying the smart guardrail target in the enhanced area image based on a lightweight image recognition model carried by the camera; Extract edge features of the smart guardrail target, and determine first abnormality information of the smart guardrail based on the edge features; wherein the first abnormality information at least includes: first tilt data, first displacement data, and first deformation data.

3. The method for monitoring the state of an intelligent guardrail according to claim 1, characterized in that: By monitoring the laser radar installed in the road section, the second abnormal information of the smart guardrail is detected, including: The laser radar is used to periodically acquire point cloud data of the intelligent guardrail; Filter the acquired point cloud data to remove noise data; Extract target point cloud data corresponding to the intelligent guardrail from the filtered point cloud data; The target point cloud data is compared with the initial point cloud data to identify second abnormal information of the smart guardrail; wherein the second abnormal information at least includes: second tilt data, second displacement data and second deformation data.

4. The method for monitoring the state of an intelligent guardrail according to claim 1, characterized in that: Performing bidirectional verification on the first abnormal information and the second abnormal information to obtain comprehensive abnormal information of the smart guardrail, specifically including: Comparing the first abnormality information with the corresponding data in the second abnormality information, and if the difference between the two is less than a preset threshold, calculating the average of the first abnormality information and the second abnormality information as the comprehensive abnormality information; If the difference between the two is greater than or equal to the preset threshold, the camera and lidar will be immediately awakened for a second acquisition, and the second acquisition results will be re-compared. If it is still greater than or equal to the preset threshold, no abnormal information will be reported, and the collected image data and point cloud data will be uploaded to the road management center through the communication node.

5. The method for monitoring the state of an intelligent guardrail according to claim 1, characterized in that: The comprehensive abnormal information is sent to the road management center via the shortest communication link, specifically including: Sending the determined comprehensive abnormality information to the nearest communication node; Determine the location of the nearest road management center based on the location of the communication node that receives the comprehensive abnormal information, and determine the shortest communication link to the nearest road management center; The comprehensive abnormality information and alarm information are sent to the nearest road management center via the shortest communication link.

6. The method for monitoring the state of an intelligent guardrail according to claim 1, characterized in that: After sending the comprehensive abnormality information to the road management center via the shortest communication link, the method further includes: Based on each data in the comprehensive abnormality information, a corresponding maintenance reference plan is matched in the road management center database, and the maintenance reference plan is sent to the road management personnel terminal together with the comprehensive abnormality information.

7. An intelligent guardrail status monitoring system, applying an intelligent guardrail status monitoring method according to any one of claims 1 to 6, characterized in that: The system comprises: A monitoring equipment setting module is used to generate a corresponding monitoring equipment laying plan for the monitored road section; wherein the monitoring equipment laying plan includes a camera node laying plan, a lidar node laying plan, and a communication node laying plan; A monitoring module is configured to detect first abnormality information of the smart guardrail by using a camera installed in the monitoring section; and detect second abnormality information of the smart guardrail by using a laser radar installed in the monitoring section; a verification module, configured to perform bidirectional verification on the first abnormality information and the second abnormality information to obtain comprehensive abnormality information of the smart guardrail; The transmission module is used to send the comprehensive abnormality information to the road management center through the shortest communication link.

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