Intelligent guardrail monitoring system

Abstract

The invention relates to the field of guardrails, in particular to an intelligent guardrail monitoring system. According to the technical problems, gyroscope sensors or other sensors are adopted for collecting movement and inclination data, the sensors need to be installed in the guardrail in a spaced mode under the condition that cost is considered, and when the sensors are installed dispersedly, the sensors cannot be installed in the guardrail. The guardrails with abnormal conditions cannot be accurately positioned through the moving distance and the inclination angle; according to the technical scheme, the intelligent guardrail monitoring system comprises a data acquisition module, a data processing module, a data analysis module, a data transmission module and a master control platform, according to the invention, the guardrail of the abnormal data generation source is positioned by setting the positioning method based on the motion numerical proportion, so that the abnormal guardrail can be positioned more accurately under the condition that the sensors are installed dispersedly, and the installation and maintenance cost of the guardrail monitoring system can be reduced while the maintenance efficiency is ensured.

Description

Technical Field

[0001] The present invention relates to the field of guardrails, and in particular to a smart guardrail monitoring system. Background Art

[0002] Guardrail monitoring system is a technology widely used to improve safety. This system usually consists of cameras, sensors and data processing equipment. The camera can monitor and record the activities around the guardrail in real time, and the sensor can detect any illegal behavior or sabotage attempts, such as climbing over the guardrail or hitting the guardrail. The data will be transmitted to the data processing equipment for analysis to detect any potential safety problems in time. When monitoring and managing the guardrail, gyroscope sensors or other sensors are used to collect the movement and tilt data of the guardrail, so as to monitor and manage the guardrail. Considering the cost, the sensor needs to be installed inside the guardrail at intervals. When the sensor is installed more dispersedly, the guardrail that causes abnormal conditions cannot be accurately located by moving distance and tilt angle. Summary of the invention

[0003] In order to overcome the problem of using gyroscope sensors or other sensors to collect movement and tilt data of guardrails during monitoring and management of guardrails, so as to achieve monitoring and management of guardrails, the sensors need to be installed inside the guardrails at intervals taking into account the cost. When the sensors are installed in a scattered manner, it is impossible to accurately locate the guardrails that have abnormal conditions through moving distance and tilt angle.

[0004] The technical solution of the present invention is: a smart guardrail monitoring system, comprising:

[0005] A data acquisition module is provided in multiple groups for acquiring motion data of the guardrail, wherein the motion data of the guardrail includes displacement data, tilt data and vibration data;

[0006] A data processing module, used for pre-processing the motion data of the guardrail collected by the data collection module;

[0007] A data analysis module, used to analyze the motion data of the guardrail after being processed by the data processing module, and identify abnormal conditions of the guardrail;

[0008] The data transmission module is used to realize the mutual communication between multiple groups of data acquisition modules, and to transmit the data collected by the data acquisition modules and the analysis results of the data analysis modules to the master control platform;

[0009] The master control platform is used to manage and view the data acquisition module, data transmission module, data processing module, data analysis module and monitoring and evidence collection module, and analyze the abnormal conditions of the guardrail;

[0010] The monitoring and evidence collection module is used to take photos of the guardrail and collect evidence based on the abnormal conditions of the guardrail identified by the data analysis module.

[0011] Preferably, the guardrail is not limited to traffic guardrails, municipal guardrails, and household guardrails.

[0012] Preferably, the data acquisition module includes a gyroscope sensor and a photovoltaic power supply device, the gyroscope sensor is used to collect multiple motion data of the guardrail, and the photovoltaic power supply device is used to supply energy to the gyroscope sensor, wherein the data acquisition module is arranged in multiple groups, and the multiple groups of data acquisition modules are respectively arranged inside the multiple groups of guardrails, and the multiple groups of data acquisition modules are arranged at intervals.

[0013] Preferably, when the data processing module pre-processes the motion data of the guardrail collected by the data collection module, the pre-processing method adopted includes:

[0014] A11: Use a low-pass filter to perform noise reduction on the data collected by the data acquisition module;

[0015] A12: Use weighted smoothing method to smooth and balance the data collected by the data acquisition module to reduce the impact of accidental data mutations;

[0016] A13: Clean the data collected by the data acquisition module to remove abnormal values ​​in the data.

[0017] Preferably, the data analysis module analyzes the motion data of the guardrail after being processed by the data processing module to identify the abnormal situation of the guardrail, including the following steps:

[0018] S11: reading the data collected by the gyroscope sensor in the data acquisition module;

[0019] S12: Decomposing the data collected by the gyro sensor, and converting the data collected by the gyro sensor into data in the x-axis direction, the y-axis direction, and the z-axis direction;

[0020] S13: Identify abnormal conditions of the guardrail according to the guardrail movement data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor.

[0021] Preferably, the data analysis module includes the following steps when identifying the abnormal situation of the guardrail according to the guardrail movement data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor:

[0022] S21: separately identifying the guardrail motion data in the x-axis direction, y-axis direction and z-axis direction collected by the gyroscope sensor, and determining whether the instantaneous speed and instantaneous acceleration of the guardrail motion in the x-axis direction, y-axis direction and z-axis direction exceed a threshold;

[0023] S22: superimposing the guardrail movement data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor, determining the displacement of the guardrail, and determining whether the displacement distance of the guardrail exceeds a threshold.

[0024] Preferably, the data analysis module superimposes the guardrail motion data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor to determine the displacement of the guardrail and whether the displacement distance of the guardrail exceeds the threshold, and the method used includes:

[0025] A21: Calculate the total displacement data of the guardrail in the x-axis direction, the y-axis direction and the z-axis direction respectively. When the total displacement of the guardrail in the x-axis direction, the y-axis direction or the z-axis direction exceeds a threshold, it is determined that the guardrail is abnormal.

[0026] A22: The total displacement of the guardrail is calculated according to the total displacement of the guardrail in the x-axis direction, the y-axis direction and the z-axis direction. When the total displacement of the guardrail exceeds a threshold, it is determined that the guardrail is abnormal.

[0027] A23: Calculate the total speed and total acceleration of the guardrail according to the speed and acceleration of the guardrail in the x-axis direction, the y-axis direction, and the z-axis direction, and determine whether the total speed and total acceleration of the guardrail exceed a threshold.

[0028] Preferably, by setting up a variety of data calculation methods, the data collected by the gyroscope sensor is calculated to achieve the recognition of abnormal conditions of the guardrail, thereby preventing the occurrence of abnormal data that is difficult to identify due to weak vibrations or special vibration angles, and ensuring the comprehensiveness and accuracy of abnormal identification, so that the abnormalities caused by the guardrail can be fully and quickly identified, effectively ensuring traffic safety.

[0029] Preferably, the master control platform includes the following steps when analyzing the abnormal situation of the guardrail:

[0030] S31: When the data analysis module identifies an abnormal situation of the guardrail, the identified abnormal data is sent to the master control platform through the data transmission module;

[0031] S32: The master control platform analyzes the abnormal data collected by the data collection module, and analyzes the abnormal data type of the guardrail, wherein the abnormal data type of the guardrail includes abnormal vibration, position offset and abnormal tilt;

[0032] S33: Determine the position of the guardrail where the abnormality occurs, and send control information to the monitoring and evidence collection module to collect images of the guardrail where the abnormality occurs.

[0033] Preferably, the master control platform includes the following steps when determining the abnormal guardrail position:

[0034] S41: determining the position of the data analysis module generating abnormal data according to the installation position of the data analysis module;

[0035] S42: Determine whether the adjacent data analysis module generates abnormal data. If the adjacent data analysis module does not generate abnormal data, determine that the position of the data analysis module is the guardrail position where the abnormality is generated. If the adjacent data analysis module generates abnormal data, proceed to the next step.

[0036] S43: Compare the data of the data analysis modules of two adjacent groups to determine the maximum instantaneous acceleration ratio of the guardrail collected by the data analysis modules;

[0037] S44: The obtained maximum instantaneous acceleration ratio is used as the distance ratio of the abnormal position originating from the two sets of data analysis modules to determine the guardrail position where the abnormality occurs.

[0038] Preferably, by calculating the acceleration of two adjacent groups of data analysis modules and by calculating the acceleration ratio of the guardrails collected by the two adjacent groups of data acquisition modules, the position source causing the abnormality of the guardrail is judged, so that when the data acquisition modules are installed in a dispersed manner, the abnormal guardrail can be more accurately located, thereby increasing the efficiency of municipal maintenance and traffic security, ensuring the safety of pedestrians and passing vehicles, and reducing the number of installed data acquisition modules, saving costs.

[0039] Preferably, a data storage module is also included, which is used to store the abnormal data collected by the data acquisition module, the recognition results of the data analysis module, the analysis results of the master control platform and the images collected by the monitoring and evidence collection module, wherein the storage module is also used to store the number information of the guardrail, the location information of the guardrail and the number information of the data analysis module.

[0040] Preferably, the data analysis modules are set to multiple groups, the data analysis modules correspond to the data acquisition modules one-to-one, the data transmission modules are set to multiple groups, the data transmission modules include a zigbee communication module and a network communication module, the zigbee communication module is used to realize communication between adjacent data storage modules, and the network communication module is used to send the abnormal data identified by the data analysis module to the master control platform, and the zigbee communication modules are set to multiple groups, the zigbee communication modules correspond to the data acquisition modules one-to-one, the network communication modules are set to multiple groups, the guardrail is divided into multiple areas, and a group of network communication modules is provided in each area.

[0041] Beneficial effects of the present invention:

[0042] 1. Compared with the prior art, when monitoring and managing guardrails, gyroscope sensors or other sensors are used to collect the movement and tilt data of guardrails, so as to achieve the monitoring and management of guardrails. Considering the cost, the sensors need to be installed inside the guardrails by interval installation. When the installation of sensors is relatively scattered, the guardrails that cause abnormal conditions cannot be accurately located by moving distance and tilt angle. The monitoring system locates the guardrails at the source of abnormal data by setting a positioning method based on the motion value ratio, so that when the sensor installation is relatively scattered, the guardrails with abnormal conditions can be more accurately located. While ensuring the efficiency of municipal maintenance, the installation cost and maintenance cost of the guardrail monitoring system can be greatly reduced.

[0043] 2. By setting and calculating the acceleration of two adjacent groups of data analysis modules, and by calculating the acceleration ratio of the guardrails collected by the two adjacent groups of data acquisition modules, the position source causing the guardrail abnormality is judged, so that when the data acquisition modules are installed in a dispersed manner, the guardrail with abnormality can be more accurately located, thereby increasing the efficiency of municipal maintenance and traffic security, ensuring the safety of pedestrians and passing vehicles, and reducing the number of data acquisition modules installed, saving costs;

[0044] 3. By setting up a variety of data calculation methods, the data collected by the gyroscope sensor is calculated to achieve the recognition of abnormal conditions of the guardrail, thereby preventing the occurrence of abnormal data that is difficult to identify due to weak vibration or special vibration angles, ensuring the comprehensiveness and accuracy of abnormal identification, so that the abnormalities caused by the guardrail can be fully and quickly identified, effectively ensuring traffic safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 Shown is a schematic diagram of the structure of the smart guardrail monitoring system of the present invention;

[0046] Figure 2Shown is a schematic diagram of part of the workflow of the master control platform in the smart guardrail monitoring system of the present invention. DETAILED DESCRIPTION

[0047] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0048] See also Figure 1-2 The present invention provides an embodiment: a smart guardrail monitoring system, comprising:

[0049] A data acquisition module is provided in multiple groups for acquiring motion data of the guardrail, wherein the motion data of the guardrail includes displacement data, tilt data and vibration data;

[0050] A data processing module, used for pre-processing the motion data of the guardrail collected by the data collection module;

[0051] A data analysis module, used to analyze the motion data of the guardrail after being processed by the data processing module, and identify abnormal conditions of the guardrail;

[0052] The data transmission module is used to realize the mutual communication between multiple groups of data acquisition modules, and to transmit the data collected by the data acquisition modules and the analysis results of the data analysis modules to the master control platform;

[0053] The master control platform is used to manage and view the data acquisition module, data transmission module, data processing module, data analysis module and monitoring and evidence collection module, and analyze the abnormal conditions of the guardrail;

[0054] The monitoring and evidence collection module is used to take photos of the guardrail and collect evidence based on the abnormal conditions of the guardrail identified by the data analysis module.

[0055] Preferably, the data acquisition module includes a gyroscope sensor and a photovoltaic power supply device, the gyroscope sensor is used to collect multiple motion data of the guardrail, and the photovoltaic power supply device is used to supply energy to the gyroscope sensor, wherein the data acquisition module is arranged in multiple groups, and the multiple groups of data acquisition modules are respectively arranged inside the multiple groups of guardrails, and the multiple groups of data acquisition modules are arranged at intervals.

[0056] Preferably, when the data processing module pre-processes the motion data of the guardrail collected by the data collection module, the pre-processing method adopted includes:

[0057] A11: Use a low-pass filter to perform noise reduction on the data collected by the data acquisition module;

[0058] A12: Use weighted smoothing method to smooth and balance the data collected by the data acquisition module to reduce the impact of accidental data mutations;

[0059] A13: Clean the data collected by the data acquisition module to remove abnormal values ​​in the data.

[0060] Preferably, the data analysis module analyzes the motion data of the guardrail after being processed by the data processing module to identify the abnormal situation of the guardrail, including the following steps:

[0061] S11: reading the data collected by the gyroscope sensor in the data acquisition module;

[0062] S12: Decomposing the data collected by the gyro sensor, and converting the data collected by the gyro sensor into data in the x-axis direction, the y-axis direction, and the z-axis direction;

[0063] S13: Identify abnormal conditions of the guardrail according to the guardrail movement data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor.

[0064] Preferably, the data analysis module includes the following steps when identifying the abnormal situation of the guardrail according to the guardrail movement data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor:

[0065] S21: separately identifying the guardrail motion data in the x-axis direction, y-axis direction and z-axis direction collected by the gyroscope sensor, and determining whether the instantaneous speed and instantaneous acceleration of the guardrail motion in the x-axis direction, y-axis direction and z-axis direction exceed a threshold;

[0066] S22: superimposing the guardrail movement data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor, determining the displacement of the guardrail, and determining whether the displacement distance of the guardrail exceeds a threshold.

[0067] Preferably, the data analysis module superimposes the guardrail motion data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor to determine the displacement of the guardrail and whether the displacement distance of the guardrail exceeds the threshold, and the method used includes:

[0068] A21: Calculate the total displacement data of the guardrail in the x-axis direction, the y-axis direction and the z-axis direction respectively. When the total displacement of the guardrail in the x-axis direction, the y-axis direction or the z-axis direction exceeds a threshold, it is determined that the guardrail is abnormal.

[0069] A22: The total displacement of the guardrail is calculated according to the total displacement of the guardrail in the x-axis direction, the y-axis direction and the z-axis direction. When the total displacement of the guardrail exceeds a threshold, it is determined that the guardrail is abnormal.

[0070] A23: Calculate the total speed and total acceleration of the guardrail according to the speed and acceleration of the guardrail in the x-axis direction, the y-axis direction, and the z-axis direction, and determine whether the total speed and total acceleration of the guardrail exceed a threshold.

[0071] Preferably, by setting up a variety of data calculation methods, the data collected by the gyroscope sensor is calculated to achieve the recognition of abnormal conditions of the guardrail, thereby preventing the occurrence of abnormal data that is difficult to identify due to weak vibrations or special vibration angles, and ensuring the comprehensiveness and accuracy of abnormal identification, so that the abnormalities caused by the guardrail can be fully and quickly identified, effectively ensuring traffic safety.

[0072] Preferably, the master control platform includes the following steps when analyzing the abnormal situation of the guardrail:

[0073] S31: When the data analysis module identifies an abnormal situation of the guardrail, the identified abnormal data is sent to the master control platform through the data transmission module;

[0074] S32: The master control platform analyzes the abnormal data collected by the data collection module, and analyzes the abnormal data type of the guardrail, wherein the abnormal data type of the guardrail includes abnormal vibration, position offset and abnormal tilt;

[0075] S33: Determine the position of the guardrail where the abnormality occurs, and send control information to the monitoring and evidence collection module to collect images of the guardrail where the abnormality occurs.

[0076] Preferably, the master control platform includes the following steps when determining the abnormal guardrail position:

[0077] S41: determining the position of the data analysis module generating abnormal data according to the installation position of the data analysis module;

[0078] S42: Determine whether the adjacent data analysis module generates abnormal data. If the adjacent data analysis module does not generate abnormal data, determine that the position of the data analysis module is the guardrail position where the abnormality is generated. If the adjacent data analysis module generates abnormal data, proceed to the next step.

[0079] S43: Compare the data of the data analysis modules of two adjacent groups to determine the maximum instantaneous acceleration ratio of the guardrail collected by the data analysis modules;

[0080] S44: The obtained maximum instantaneous acceleration ratio is used as the distance ratio of the abnormal position originating from the two sets of data analysis modules to determine the guardrail position where the abnormality occurs.

[0081] Preferably, by calculating the acceleration of two adjacent groups of data analysis modules and by calculating the acceleration ratio of the guardrails collected by the two adjacent groups of data acquisition modules, the position source causing the abnormality of the guardrail is judged, so that when the data acquisition modules are installed in a dispersed manner, the abnormal guardrail can be more accurately located, thereby increasing the efficiency of municipal maintenance and traffic security, ensuring the safety of pedestrians and passing vehicles, and reducing the number of installed data acquisition modules, saving costs.

[0082] Preferably, a data storage module is also included, which is used to store the abnormal data collected by the data acquisition module, the recognition results of the data analysis module, the analysis results of the master control platform and the images collected by the monitoring and evidence collection module, wherein the storage module is also used to store the number information of the guardrail, the location information of the guardrail and the number information of the data analysis module.

[0083] Preferably, the data analysis modules are set to multiple groups, the data analysis modules correspond to the data acquisition modules one-to-one, the data transmission modules are set to multiple groups, the data transmission modules include a zigbee communication module and a network communication module, the zigbee communication module is used to realize communication between adjacent data storage modules, and the network communication module is used to send the abnormal data identified by the data analysis module to the master control platform, and the zigbee communication modules are set to multiple groups, the zigbee communication modules correspond to the data acquisition modules one-to-one, the network communication modules are set to multiple groups, the guardrail is divided into multiple areas, and a group of network communication modules is provided in each area.

[0084] Through the above steps, compared with the prior art, when monitoring and managing the guardrail, a gyroscope sensor or other sensor is used to collect the movement and tilt data of the guardrail, so as to achieve the monitoring and management of the guardrail. Considering the cost, the sensor needs to be installed inside the guardrail by means of interval installation. When the sensor is installed more dispersedly, the guardrail where the abnormal situation occurs cannot be accurately located by the moving distance and the tilt angle. The monitoring system locates the guardrail at the source of the abnormal data by setting a positioning method based on the motion value ratio, so that when the sensor is installed more dispersedly, a more accurate positioning of the abnormal guardrail can be achieved, which can greatly reduce the installation cost and maintenance cost of the guardrail monitoring system while ensuring the efficiency of municipal maintenance.

[0085] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of those skilled in the art without departing from the spirit of the present invention.

Claims

1. Intelligent guardrail monitoring system; its characteristics are: Included are: A data acquisition module is provided in multiple groups for acquiring motion data of the guardrail, wherein the motion data of the guardrail includes displacement data, tilt data and vibration data; A data processing module, used for pre-processing the motion data of the guardrail collected by the data collection module; A data analysis module, used to analyze the motion data of the guardrail after being processed by the data processing module, and identify abnormal conditions of the guardrail; The data transmission module is used to realize the mutual communication between multiple groups of data acquisition modules, and to transmit the data collected by the data acquisition modules and the analysis results of the data analysis modules to the master control platform; The master control platform is used to manage and view the data acquisition module, data transmission module, data processing module, data analysis module and monitoring and evidence collection module, and analyze the abnormal conditions of the guardrail; The monitoring and evidence collection module is used to take photos of the guardrail and collect evidence based on the abnormal conditions of the guardrail identified by the data analysis module.

2. The smart guardrail monitoring system according to claim 1 is characterized in that: The data acquisition module includes a gyroscope sensor and a photovoltaic power supply device. The gyroscope sensor is used to collect multiple motion data of the guardrail, and the photovoltaic power supply device is used to supply energy to the gyroscope sensor. The data acquisition module is set into multiple groups, and the multiple groups of data acquisition modules are respectively arranged inside the multiple groups of guardrails, and the multiple groups of data acquisition modules are arranged at intervals.

3. The smart guardrail monitoring system according to claim 2 is characterized in that: When the data processing module pre-processes the motion data of the guardrail collected by the data acquisition module, the pre-processing methods used include: A11: Use a low-pass filter to perform noise reduction on the data collected by the data acquisition module; A12: Use weighted smoothing method to smooth and balance the data collected by the data acquisition module to reduce the impact of accidental data mutations; A13: Clean the data collected by the data acquisition module to remove abnormal values ​​in the data.

4. The smart guardrail monitoring system according to claim 3 is characterized in that: The data analysis module analyzes the motion data of the guardrail after being processed by the data processing module and identifies the abnormal situation of the guardrail, including the following steps: S11: reading the data collected by the gyroscope sensor in the data acquisition module; S12: Decomposing the data collected by the gyro sensor, and converting the data collected by the gyro sensor into data in the x-axis direction, the y-axis direction, and the z-axis direction; S13: Identify abnormal conditions of the guardrail according to the guardrail movement data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor.

5. The smart guardrail monitoring system according to claim 4 is characterized in that: The data analysis module includes the following steps when identifying the abnormal situation of the guardrail based on the guardrail movement data in the x-axis direction, y-axis direction and z-axis direction collected by the gyroscope sensor: S21: separately identifying the guardrail motion data in the x-axis direction, y-axis direction and z-axis direction collected by the gyroscope sensor, and determining whether the instantaneous speed and instantaneous acceleration of the guardrail motion in the x-axis direction, y-axis direction and z-axis direction exceed a threshold; S22: superimposing the guardrail movement data in the x-axis direction, the y-axis direction and the z-axis direction collected by the gyroscope sensor, determining the displacement of the guardrail, and determining whether the displacement distance of the guardrail exceeds a threshold.

6. The smart guardrail monitoring system according to claim 5 is characterized in that: The data analysis module superimposes the guardrail motion data in the x-axis direction, y-axis direction and z-axis direction collected by the gyroscope sensor to determine the displacement of the guardrail and whether the displacement distance of the guardrail exceeds the threshold. The methods used include: A21: Calculate the total displacement data of the guardrail in the x-axis direction, the y-axis direction and the z-axis direction respectively. When the total displacement of the guardrail in the x-axis direction, the y-axis direction or the z-axis direction exceeds a threshold, it is determined that the guardrail is abnormal. A22: The total displacement of the guardrail is calculated according to the total displacement of the guardrail in the x-axis direction, the y-axis direction and the z-axis direction. When the total displacement of the guardrail exceeds a threshold, it is determined that the guardrail is abnormal. A23: Calculate the total speed and total acceleration of the guardrail according to the speed and acceleration of the guardrail in the x-axis direction, the y-axis direction, and the z-axis direction, and determine whether the total speed and total acceleration of the guardrail exceed a threshold.

7. The smart guardrail monitoring system according to claim 6 is characterized in that: The master control platform analyzes the abnormal situation of the guardrail, including the following steps: S31: When the data analysis module identifies an abnormal situation of the guardrail, the identified abnormal data is sent to the master control platform through the data transmission module; S32: The master control platform analyzes the abnormal data collected by the data collection module, and analyzes the abnormal data type of the guardrail, wherein the abnormal data type of the guardrail includes abnormal vibration, position offset and abnormal tilt; S33: Determine the position of the guardrail where the abnormality occurs, and send control information to the monitoring and evidence collection module to collect images of the guardrail where the abnormality occurs.

8. The smart guardrail monitoring system according to claim 7 is characterized in that: The master control platform determines the position of the guardrail where an abnormality occurs, including the following steps: S41: determining the position of the data analysis module generating abnormal data according to the installation position of the data analysis module; S42: Determine whether the adjacent data analysis module generates abnormal data. If the adjacent data analysis module does not generate abnormal data, determine that the position of the data analysis module is the guardrail position where the abnormality is generated. If the adjacent data analysis module generates abnormal data, proceed to the next step. S43: Compare the data of the data analysis modules of two adjacent groups to determine the maximum instantaneous acceleration ratio of the guardrail collected by the data analysis modules; S44: The obtained maximum instantaneous acceleration ratio is used as the distance ratio of the abnormal position originating from the two sets of data analysis modules to determine the guardrail position where the abnormality occurs.

9. The smart guardrail monitoring system according to claim 8, characterized in that: It also includes a data storage module, which is used to store abnormal data collected by the data acquisition module, the recognition results of the data analysis module, the analysis results of the master control platform, and the images collected by the monitoring and evidence collection module. The storage module is also used to store the number information of the guardrail, the location information of the guardrail, and the number information of the data analysis module.

10. The smart guardrail monitoring system according to claim 9, characterized in that: The data analysis modules are set to multiple groups, the data analysis modules correspond to the data acquisition modules one by one, the data transmission modules are set to multiple groups, the data transmission modules include zigbee communication modules and network communication modules, the zigbee communication modules are used to realize communication between adjacent data storage modules, and the network communication modules are used to send abnormal data identified by the data analysis modules to the master control platform, and the zigbee communication modules are set to multiple groups, the zigbee communication modules correspond to the data acquisition modules one by one, the network communication modules are set to multiple groups, the guardrail is divided into multiple areas, and a group of network communication modules is set in each area.

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