Intelligent guardrail state monitoring method and system

Abstract

The invention discloses an intelligent guardrail state monitoring method and system, belongs to the technical field of intelligent guardrail monitoring, and is used for solving the technical problems that an existing intelligent guardrail monitoring method is low in alarm accuracy and lacks an effective verification means for alarm information. The method comprises the following steps: generating a corresponding monitoring equipment laying scheme for a monitored road section; wherein the monitoring equipment laying scheme comprises a camera node laying scheme, a laser radar node laying scheme and a communication node laying scheme; detecting first abnormal information of the intelligent guardrail by monitoring a camera laid in a road section; detecting second abnormal information of the intelligent guardrail by monitoring a laser radar laid in the road 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 through a 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, and play a very important role in traffic protection. When a traffic accident occurs, guardrails are often hit. Drivers are very likely to lose control of their vehicles and hit guardrails due to fatigue, speeding or emergencies.

[0003] In order to solve the problem that road management personnel cannot know the guardrail status in time and cannot deal with guardrail damage in time after the guardrail is abnormal, a new generation of intelligent guardrails has come into being. Intelligent guardrails use precise sensing technology and Internet of Things technology to perceive multiple parameters such as the tilt, displacement, and vibration of traffic guardrails in real time, and transmit the data to the road management personnel terminal in real time through the network, thereby realizing real-time intelligent monitoring of guardrails and automatic warning of abnormal conditions.

[0004] However, the current intelligent guardrail monitoring method has low alarm accuracy and lacks effective means to verify the alarm information, which can easily lead to maintenance personnel making a wasted trip due to false alarms. In particular, 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, reducing the efficiency of highway operation and maintenance. Summary of the invention

[0005] The embodiment of the present invention provides 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 verification means for the alarm information.

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

[0007] On the one hand, an embodiment of the present invention provides a method for monitoring the state of an intelligent guardrail, the method comprising: generating a corresponding monitoring equipment laying plan for a monitored road 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;

[0008] By monitoring the cameras installed in the road section, the first abnormal information of the smart guardrail is detected;

[0009] By monitoring the laser radar installed in the road section, the second abnormal information of the intelligent 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 abnormal information is sent to the road management center via the shortest communication link.

[0012] In a feasible implementation, a corresponding monitoring equipment laying plan is generated for the monitoring section, specifically including:

[0013] Obtain 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 laser radar 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 manner, the camera node laying scheme and the laser radar node laying scheme are generated according to the guardrail shooting distance and the guardrail scanning distance, specifically including:

[0017] Assume the guardrail shooting distance of the camera is x, and the guardrail scanning distance of the laser radar is y;

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

[0019] If x≥2y, 2y is used as the spacing distance between the cameras for laying, and the bidirectional 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;

[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 manner, the communication node laying scheme is determined according to the camera node laying scheme and the lidar node laying scheme, specifically including:

[0022] A zigbee communication node is installed on each camera and lidar, and the aggregation node is laid based on the coverage 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 area 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 manner, the first abnormal information of the smart guardrail is detected by monitoring a camera installed in the road section, specifically including:

[0024] The camera is used to periodically capture image data of the smart guardrail;

[0025] Based on a preset segmentation method, the image data is segmented 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] The edge features of the smart guardrail target are extracted, and first abnormal information of the smart guardrail is determined according to the edge features; wherein the first abnormal information at least includes: first tilt data, first displacement data and first deformation data.

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

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

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

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

[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 manner, 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] Compare the first abnormal information with the corresponding data in the second abnormal information, and if the difference between the two is less than a preset threshold, calculate the average value of the first abnormal information and the second abnormal information as the comprehensive abnormal information;

[0035] If the difference between the two is greater than or equal to the preset threshold, the camera and lidar will be immediately woken up for a second collection, and the second collection result 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 manner, the comprehensive abnormal information is sent to the road management center via the shortest communication link, specifically including:

[0037] Sending the determined comprehensive abnormal 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 abnormal information and alarm information are sent to the nearest road management center through 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 abnormal 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 abnormal 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 monitoring 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, used to detect first abnormal information of the smart guardrail by using a camera installed in the monitoring section; and to detect second abnormal information of the smart guardrail by using a laser radar installed in the monitoring section;

[0045] A verification module, used for bidirectionally verifying the first abnormal information and the second abnormal information to obtain comprehensive abnormal 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 embodiment 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 intelligent guardrail status 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 the intelligent guardrails on highways.

[0049] The present invention also provides a communication link establishment scheme, through which the alarm data can be transmitted to the management terminal faster and more stably through a reasonable communication scheme. 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 use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, 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 state of an intelligent guardrail provided in an embodiment of the present invention;

[0052] Figure 2 A schematic diagram of the structure 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 in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 creative work 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 monitored 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 guardrail shooting distance of the camera at the first preset installation height and the guardrail scanning distance of the laser radar at the second preset installation height are obtained. According to the guardrail shooting distance and the guardrail scanning distance, the camera node laying plan and the laser radar node laying plan are generated.

[0058] Furthermore, the communication node laying plan is determined according to 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 together and install them in opposite directions to form a group of two-way laser radars, and the guardrail scanning distance of the two-way laser radar is 2y. If x≥2y, 2y is used as the spacing distance of 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 of the cameras for laying, and 2y is used as the spacing distance of the two-way laser radar 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, and then selects the laying plan based on the field of view of the two. This can save the number of devices used and save costs while ensuring that the guardrails of the entire monitored road section are covered.

[0061] Furthermore, a ZigBee communication node is installed on each camera and lidar, and the aggregation node is laid 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 quickly and stably transmitted to the road management center.

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

[0064] Specifically, the camera regularly captures the 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 regional image is edge enhanced, and the smart guardrail target in the enhanced regional image is identified based on the lightweight image recognition model carried by the camera. The edge features of the smart guardrail target are extracted, and the first abnormal information of the smart guardrail is determined based on the edge features; wherein the first abnormal information at least includes: first tilt data, first displacement data, and first deformation data.

[0066] As a feasible implementation method, each camera in the monitoring section takes timed photos, and based on the accident rates of different highway sections, the timing can be adjusted accordingly, so that the shooting frequency is more suitable for different highway sections. The captured image data is then segmented to obtain a regional image containing the smart guardrail part, reducing the amount of calculation for the model. The regional image is edge-enhanced and input into the lightweight image recognition model for image recognition, so that more obvious edge features can be extracted and the inclination angle, displacement distance, deformation degree and other data of the smart guardrail can be identified.

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

[0068] Specifically, the point cloud data of the intelligent guardrail is acquired regularly by using a laser radar, and the acquired point cloud data is filtered to remove noise data therein.

[0069] Furthermore, the 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 the 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.

[0070] As a feasible implementation method, each laser radar installed in the monitoring section scans the smart guardrail regularly, and based on the accident rate of different highway sections, the timing can be adjusted accordingly to make the scanning frequency more suitable for different highway sections. Then, after filtering and denoising the electric cloud, the target point cloud data of the smart guardrail part is extracted and compared with the pre-stored initial point cloud data. Based on the comparison results, the inclination angle, displacement distance, deformation degree and other data of the smart guardrail 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 are immediately woken up for a second acquisition, and the second acquisition result is re-compared. If it is still greater than or equal to the preset threshold, no abnormal information is reported, and the collected image data and point cloud data are uploaded to the road management center through the communication node.

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

[0075] Specifically, the determined comprehensive abnormal information is sent to the nearest communication node. According to the location of the communication node that receives the comprehensive abnormal information, the location of the nearest road management center is determined, and the shortest communication link to the nearest road management center is determined. The comprehensive abnormal information and alarm information are sent to the nearest road management center through the shortest communication link.

[0076] Furthermore, based on each data in the comprehensive abnormal 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 abnormal 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 monitoring 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 used to detect the first abnormal information of the smart guardrail by using a camera installed in the monitoring section; and detect the second abnormal information of the smart guardrail by using a laser radar installed in the monitoring section;

[0080] A verification module 230, configured to perform bidirectional verification on the first abnormal information and the second abnormal information to obtain comprehensive abnormal 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 intelligent guardrail status 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 the intelligent guardrails on highways.

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

[0084] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with 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 smart phone, 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 device is described in 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 capable of directing a computer or other programmable data processing device to operate 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 A 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 operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

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

[0089] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0090] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. 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 communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0091] Each embodiment of the present invention is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0092] The above describes specific embodiments of the present invention. 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 above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the embodiments of the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for monitoring the state of an intelligent guardrail, characterized in that: The method comprises: 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; By monitoring the cameras installed in the road section, the first abnormal information of the smart guardrail is detected; By monitoring the laser radar installed in the road section, the second abnormal information of the intelligent 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; The comprehensive abnormal information is sent to the road management center via the shortest communication link.

2. The method for monitoring the state of an intelligent guardrail according to claim 1, characterized in that: Generate a corresponding monitoring equipment laying plan for the monitored road section, including: Obtain 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; Generate the camera node laying plan and the laser radar node laying plan according to the guardrail shooting distance and the guardrail scanning distance; Determine the communication node laying plan based on the camera node laying plan and the lidar node laying plan.

3. The method for monitoring the state of an intelligent guardrail according to claim 2, characterized in that: According to the guardrail shooting distance and the guardrail scanning distance, the camera node laying plan and the laser radar node laying plan are generated, specifically including: Assume the guardrail shooting distance of the camera is x, and the guardrail scanning distance of the laser radar is y; Two laser radars are grouped together and installed in opposite directions to form a set 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 bidirectional 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, 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.

4. The method for monitoring the state of an intelligent guardrail according to claim 3, characterized in that: Determine the communication node laying plan according to the camera node laying plan and the laser radar node laying plan, specifically including: A zigbee communication node is installed on each camera and lidar, and the aggregation node is laid based on the coverage 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 area and send it to the road management center, as well as to issue instructions issued by the road management center.

5. The method for monitoring the state of an intelligent guardrail according to claim 1, characterized in that: The first abnormal information of the intelligent guardrail is detected by monitoring the cameras installed in the road section, including: The camera is used to periodically capture image data of the smart guardrail; Based on a preset segmentation method, the image data is segmented 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; The edge features of the smart guardrail target are extracted, and first abnormal information of the smart guardrail is determined according to the edge features; wherein the first abnormal information at least includes: first tilt data, first displacement data and first deformation data.

6. 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 intelligent guardrail is detected, including: The point cloud data of the intelligent guardrail is obtained periodically through the laser radar; Filter the acquired point cloud data to remove the noise data; Extract target point cloud data corresponding to the intelligent guardrail from the point cloud data after filtering; 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.

7. The method for monitoring the state of an intelligent guardrail according to claim 1, characterized in that: The first abnormal information and the second abnormal information are bidirectionally verified to obtain comprehensive abnormal information of the smart guardrail, specifically including: Compare the first abnormal information with the corresponding data in the second abnormal information, and if the difference between the two is less than a preset threshold, calculate the average value of the first abnormal information and the second abnormal information as the comprehensive abnormal information; If the difference between the two is greater than or equal to the preset threshold, the camera and lidar will be immediately woken up for a second collection, and the second collection result 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.

8. 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 through the shortest communication link, specifically including: Sending the determined comprehensive abnormal 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 abnormal information and alarm information are sent to the nearest road management center through the shortest communication link.

9. The method for monitoring the state of an intelligent guardrail according to claim 1, characterized in that: After sending the comprehensive abnormal information to the road management center via the shortest communication link, the method further includes: Based on each data in the comprehensive abnormal 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 abnormal information.

10. An intelligent guardrail status monitoring system, characterized in that: The system comprises: A monitoring equipment setting module is used to generate a corresponding monitoring equipment laying plan for the monitoring 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, used to detect first abnormal information of the smart guardrail by using a camera installed in the monitoring section; and to detect second abnormal information of the smart guardrail by using a laser radar installed in the monitoring section; A verification module, used for bidirectionally verifying the first abnormal information and the second abnormal information to obtain comprehensive abnormal 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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