Bridge health state monitoring apparatus and method

Abstract

A bridge health state monitoring apparatus, which relates to the field of bridge monitoring. The bridge health state monitoring apparatus comprises: a data collection unit (1), a positioning antenna (2), an industrial switch (4), an intelligent video analysis unit (5), a vibration sensor (6) and a central platform (9). The data collection unit (1) is used for collecting information of a vehicle passing through a bridge, in order to obtain a video bitstream, and sending the video bitstream to the intelligent video analysis unit (5); the positioning antenna (2) is used for receiving position information provided by a satellite to locate the position of a bridge section and the position of the data collection unit (1); the vibration sensor (6) is used for detecting a vibration signal generated when the vehicle passes through the bridge section, and sending the vibration signal to the intelligent video analysis unit (5); the intelligent video analysis unit (5) is used for parsing the video bitstream and the vibration signal, and sending the parsed video bitstream and the parsed vibration signal to the central platform (9); and the central platform (9) is used for receiving, storing and presenting vibration data information of each section of the bridge, and is further used for storing the video bitstream. The bridge health state monitoring apparatus can accurately reflect the health state of bridges. Further provided is a bridge health state monitoring method.

Description

Bridge health status monitoring device and method

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on January 25, 2024, with application number 202410107625.1 and invention name “A Bridge Health Status Monitoring Device and Method”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present invention relates to the technical field of bridge monitoring, and in particular to a bridge health status monitoring device and method. Background Art

[0003] In recent years, with the increasing requirements for engineering quality, the demand for engineering surveying has also increased. The current technical status and existing problems in the scene area mainly focusing on bridges are as follows:

[0004] Bridge health inspections primarily rely on manual inspections, which are technologically backward and costly. They also fail to immediately detect defects and abnormalities, are subjective, and have a high probability of missed reports.

[0005] The means of detecting large-scale vibration of bridge structures are limited and their reliability needs to be improved. Recently, large-scale structural vibration incidents such as the Yingwuzhou Yangtze River Bridge in Wuhan and the Humen Bridge in Guangdong have aroused public concern about the safety of large bridges. Even if the vibration analysis shows that it is within the safe range, the public concerns and safety risks it brings are still worthy of attention.

[0006] Smart bridge maintenance has not yet formed a system, and its advantages cannot be fully utilized. For example, in the field of bridge vibration detection, although some directions have carried out exploration of smart maintenance based on artificial intelligence, they have not formed a system and integrated them, and cannot form a synergy and fully utilize the advantages of smart maintenance.

[0007] Aiming at the vibration of bridges, the present invention proposes a complete set of digital-based intelligent recognition technologies for application in bridge vibration detection.

[0008] Summary of the Invention

[0009] The purpose of the present invention is to provide a bridge health status monitoring device and method to accurately reflect the vibration condition of the bridge.

[0010] To achieve the above object, the present invention provides the following solutions:

[0011] A bridge health status monitoring device, comprising:

[0012] Data acquisition unit, positioning antenna, industrial switch, video intelligent analysis unit, vibration sensor and central platform;

[0013] The data acquisition unit is used to collect information about vehicles passing through the bridge, obtain a video stream, and send the video stream to the intelligent analysis unit through the industrial switch;

[0014] The positioning antenna is used to receive position information provided by the satellite to locate the position of the bridge section and the position of the data acquisition unit;

[0015] The industrial switch is also used to send the video stream to the central platform;

[0016] The vibration sensor is used to detect the vibration signal generated by the bridge section when a vehicle passes by, and send the vibration signal to the intelligent analysis unit;

[0017] The video intelligent analysis unit is used to analyze the video code stream and the vibration signal, and send the analyzed video code stream and vibration signal to the central platform;

[0018] The central platform is used to receive, store and display vibration data information on each section of the bridge, and is also used to store the video stream.

[0019] Optionally, the data acquisition unit is a high-definition camera.

[0020] Optionally, the monitoring device further includes:

[0021] A vertical pole, wherein the data acquisition unit is installed on the vertical pole.

[0022] Optionally, the monitoring device further includes: a power supply module for providing electrical energy.

[0023] Optionally, the monitoring device further includes:

[0024] pole box;

[0025] The positioning wires, power supply module, industrial switch and video intelligent analysis unit are located in the pole box.

[0026] Optionally, the data acquisition unit is a camera, and there are multiple cameras.

[0027] The present invention also provides a bridge health status monitoring method, the monitoring method comprising:

[0028] Step 1: Installing cameras at a first preset distance and locating the latitude and longitude coordinates of the cameras;

[0029] Step 2: installing bridge vibration sensors at a second preset distance, and locating the latitude and longitude coordinates of the vibration sensors;

[0030] Step 3: After the bridge vibration sensor is installed, a reference value is collected; the reference value refers to an initialization state value in which the vibration value of the vibration sensor is different when it is installed at different positions on the bridge;

[0031] Step 4: Start the video intelligent analysis unit and connect it to all deployed vibration sensors to detect whether the bridge vibration is within the designed range. If it is within this range, it means that the bridge vibration status is normal. If the status is normal, baseline value collection will begin;

[0032] Step 5: After the video intelligent analysis unit is ready, arrange small cars, medium cars, and large cars to pass through the bridge respectively, and record the vibration values ​​of the vibration sensors of each part;

[0033] Step 6: After collecting the pre-reference value through the above steps, the filtered reference value is calculated through the filtering algorithm;

[0034] Step 7: The video intelligent analysis unit receives the camera data, detects the vehicle through target detection, and obtains the vehicle's length and width information. This vehicle information, along with the camera number, time, and location information, is stored in the database.

[0035] Step 8: The vibration sensor converts the electrical signal fluctuation caused by the vibration into a numerical value and transmits it to the video intelligent analysis unit. The video intelligent analysis unit stores the numerical value and the vibration sensor number, time, and location information in a database;

[0036] Step 9: Assign cameras and vibration sensors in the correct order. Use the camera closest to the vibration sensor as the reference camera, based on the lane direction.

[0037] Step 10: The video intelligent analysis unit extracts vibration data from the database, filters the data with a period of 5 seconds, obtains a vibration detection reference value, and calculates the vibration monitoring reference value and the filtered baseline value to obtain a standard deviation; repeat step 10 to calculate all vibration standard deviations, and calculate the average of all vibration standard deviations, which is the bridge vibration local health value;

[0038] Step 11: Determine the bridge vibration condition based on the bridge vibration local health value, and whether the bridge vibration is abnormal.

[0039] Optionally, the first preset distance is 50 meters and the second preset distance is 100 meters.

[0040] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0041] The above solution of the present invention adopts a reference value error elimination method before calculating the local bridge health value through the bridge vibration sensor. It takes into account the errors caused by the vibration of the bridge itself, the toughness of the bridge body, and the installation. This allows the vibration detection value to more accurately reflect the bridge vibration condition and improves the detection accuracy.

[0042] In terms of deployment design, the product adopts a segmented statistical approach for bridges, installing bridge vibration sensors every 100 meters. Even if one or more bridge vibration sensors fail, the overall calculation will not be affected. In addition, all data statistical analysis uses filtering to avoid overall calculation errors caused by abnormal collection errors.

[0043] The equipment is maintainable. The cameras and bridge vibration sensors are pre-collected with locations and numbers. The analysis software will obtain the hardware status of each part in real time and immediately feedback to the operation and maintenance personnel if any problems occur. Portable operation and maintenance, vibration data is combined with video analysis. When the collected vibration detection value exceeds the threshold, the result of video analysis can be used to identify the cause and confirm whether it is a problem with the bridge itself, avoiding the need for manual on-site inspection when vibration detection is abnormal. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] 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. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] FIG1 is a layout diagram of the detection equipment on a single section of a bridge provided by the present invention;

[0046] FIG2 is a schematic diagram of a module of a bridge health status monitoring device provided by the present invention;

[0047] FIG3 is a layout diagram of the health status information collection and fusion equipment for the entire bridge provided by the present invention;

[0048] FIG4 is a flow chart of the bridge health status monitoring method provided by the present invention. DETAILED DESCRIPTION

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] The purpose of the present invention is to provide a bridge health status monitoring device and method to accurately reflect the vibration condition of the bridge.

[0051] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0052] Example 1

[0053] As shown in Figures 1 and 2, the present invention provides a bridge health status monitoring device, which includes: a data acquisition unit 1, a positioning antenna 2, a power module 3, an industrial switch 4, a video intelligent analysis unit 5, a vibration sensor 6, a pole box 7, a pole 8, and a central platform 9;

[0054] The data acquisition unit 1 in this embodiment is a high-definition camera.

[0055] The data acquisition unit 1 is used to collect information about vehicles passing through the bridge, obtain a video stream, and send the video stream to the intelligent analysis unit 5 through the industrial switch 4;

[0056] The positioning antenna 2 is used to receive position information provided by the satellite, and locate the position of the bridge section and the position of the data acquisition unit;

[0057] The industrial switch 4 is also used to send the video code stream to the central platform 9;

[0058] The vibration sensor 6 is used to detect the vibration signal generated by the bridge section when a vehicle passes by, and send the vibration signal to the intelligent analysis unit 5;

[0059] The video intelligent analysis unit 5 is used to analyze the video code stream and the vibration signal, and send the analyzed video code stream and vibration signal to the central platform 9;

[0060] The central platform 9 is used to receive, store and display the vibration data information on each section of the bridge, and is also used to store the video stream.

[0061] The power supply module is used to provide stable power to all equipment on the bridge section.

[0062] The data acquisition unit 1 is installed on the upright pole 8 .

[0063] The positioning wire 2, power module 3, industrial switch 4 and video intelligent analysis unit 5 are located in the pole box 7. In case of extreme weather such as rain, the pole box can provide a shelter for the positioning wire 2, power module 3, industrial switch 4 and video intelligent analysis unit 5, thereby extending the service life of each device in the pole box.

[0064] Referring to FIG3 , the bridge status monitoring device in the present invention is multiple and is installed at a certain distance on both sides of the road to ensure that the camera can clearly see the vehicle shape.

[0065] Example 2

[0066] Referring to FIG4 , the present invention provides a bridge health status monitoring method, the method comprising:

[0067] Step 1: Install cameras at a first preset distance and locate the latitude and longitude coordinates of the cameras.

[0068] Specifically, according to the camera's field of view, a high-definition network camera is installed every 50 meters to ensure that the camera can clearly see the vehicle shape, and a positioning antenna is used to record the camera's latitude and longitude coordinates.

[0069] Step 2: Install bridge vibration sensors at a second preset distance, and locate the latitude and longitude coordinates of the vibration sensors.

[0070] Specifically, a bridge vibration sensor is installed every 100 meters, and a positioning module is used to record the latitude and longitude coordinates of the detector.

[0071] Step 3: After the bridge vibration sensor is installed, a reference value is collected; the reference value refers to an initialization state value in which the vibration value exhibits different characteristics when the vibration sensor is installed at different positions on the bridge.

[0072] Step 4: Start the video intelligent analysis unit and connect it to all deployed vibration sensors to detect whether the vibration of the bridge is within the designed range of the bridge. If it is within this range, it means that the vibration status of the bridge is normal. When the status is normal, baseline value collection begins.

[0073] Step 5: After the video intelligent analysis unit is ready, arrange small cars, medium-sized cars, and large cars to pass through the bridge respectively, and record the vibration values ​​of the vibration sensors of each part.

[0074] Step 6: After collecting the pre-reference value through the above steps, the filtered reference value is calculated through the filtering algorithm.

[0075] That is, remove some of the maximum values ​​and some of the minimum values, and calculate the average value of the remaining intermediate values; and use this value as the benchmark value, which will be used for subsequent real-time bridge vibration detection and analysis.

[0076] The present invention uses a baseline value for calculation because, after a bridge is successfully constructed, it is constantly vibrating. Because vibration sensors are installed at different locations on the bridge, the vibration manifests differently for each sensor. Furthermore, due to differences in installation environments and bases, the vibration sensors' response to vibrations also varies. Therefore, using a baseline value to balance the calculation methods of each vibration sensor can eliminate discrepancies in settlement results caused by external factors.

[0077] Step 7: The video intelligent analysis unit receives the data from the camera, detects the vehicle through target detection, and obtains the length and width information of the vehicle. The vehicle information as well as the camera number, time, and location information are stored in the database.

[0078] Step 8: The vibration sensor converts the electrical signal fluctuation caused by the vibration into a numerical value and transmits it to the video intelligent analysis unit. The video intelligent analysis unit stores the numerical value and the vibration sensor number, time, and location information in a database.

[0079] The acquisition frequency of the vibration sensor is 50HZ.

[0080] Step 9: Assign cameras and vibration sensors to each other, and use the camera closest to the vibration sensor as the reference camera according to the lane direction.

[0081] Step 10: The video intelligent analysis unit extracts vibration data from the database, filters the data with a cycle of 5 seconds, obtains a vibration detection reference value, calculates the vibration monitoring reference value and the filtered baseline value to obtain the standard deviation; repeats step 10, calculates all vibration standard deviations, and calculates the average value of all vibration standard deviations, which is the local health value of the bridge vibration.

[0082] Step 11: Determine the bridge vibration condition based on the bridge vibration local health value, and whether the bridge vibration is abnormal.

[0083] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0084] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only intended to help understand the method and core concept of the present invention. At the same time, those skilled in the art will find that the specific implementation methods and application scopes may vary based on the concept of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims

1. A bridge health monitoring device, characterized in that, The monitoring device includes: a data acquisition unit, a positioning antenna, an industrial switch, a video intelligent analysis unit, a vibration sensor, and a central platform; The data acquisition unit is used to collect information of vehicles passing through the bridge, obtain a video stream, and send the video stream to the intelligent analysis unit through the industrial switch; The positioning antenna is used to receive the position information provided by the satellite to locate the position of the bridge section and the position of the data acquisition unit; The industrial switch is also used to send the video stream to the central platform; The vibration sensor is used to detect the vibration signal generated by the bridge section when a vehicle passes by, and send the vibration signal to the intelligent analysis unit; The video intelligent analysis unit is used to analyze the video stream and the vibration signal, and send the analyzed video stream and vibration signal to the central platform; The central platform is used to receive, store, and display the vibration data information of each section of the bridge, and is also used to store the video stream.

2. The bridge health status monitoring device according to claim 1, characterized in that, The data acquisition unit is a high-definition camera.

3. The bridge health status monitoring device according to claim 1, characterized in that The monitoring device further includes: a vertical pole, and the data acquisition unit is installed on the vertical pole.

4. The bridge health status monitoring device according to claim 3, characterized in that, The monitoring device further includes: a power supply module for providing electric energy.

5. The bridge health condition monitoring device according to claim 1, characterized in that, The monitoring device further includes: a pole-mounted box; The positioning wire, the power supply module, the industrial switch, and the video intelligent analysis unit are located in the pole-mounted box.

6. The bridge health status monitoring device according to claim 1, characterized in that, The data acquisition unit is a camera, and there are multiple cameras.

7. A method for monitoring the health status of a bridge, characterized in that, The monitoring method includes: Step 1: Install cameras at intervals of a first preset distance, and locate the longitude and latitude coordinates of the cameras; Step 2: Install bridge vibration sensors at intervals of a second preset distance, and locate the longitude and latitude coordinates of the vibration sensors; Step 3: After the bridge vibration sensors are installed, collect a reference value; the reference value refers to an initial state value in which the vibration values are different when the vibration sensors are installed at different positions on the bridge; Step 4: Start the video intelligent analysis unit, connect it to all deployed vibration sensors, and detect whether the vibration of the bridge is within the designed range of the bridge. If it is within this range, it means that the vibration state of the bridge is normal. When the state is normal, start collecting the reference value; Step 5: After the video intelligent analysis unit is ready, arrange small cars, medium-sized cars, and large cars to pass through the bridge respectively, and record the vibration values of each part of the vibration sensors respectively; Step 6: After collecting the pre-reference value through the above steps, calculate the filtered reference value through a filtering algorithm; Step 7: The video intelligent analysis unit receives the data of the cameras, detects the vehicles through target detection, obtains the length and width information of the vehicles, and stores these vehicle information, camera numbers, time, and position information in the database; Step 8: The vibration sensor converts the electrical signal fluctuation caused by vibration into a numerical value and transmits it to the video intelligent analysis unit, and the video intelligent analysis unit stores the numerical value, vibration sensor number, time, and position information in the database; Step 9: Divide the corresponding method of the cameras and the vibration sensors, and take the camera at the nearest upstream position of the vibration sensor in the lane direction as the reference camera; Step 10: The video intelligent analysis unit extracts vibration data from the database, filters the data with a 5-second period to obtain a vibration detection reference value, calculates the standard deviation by calculating the obtained vibration monitoring reference value and the filtered reference value; repeat Step 10, calculate all the vibration standard deviations, and calculate the average value of all the vibration standard deviations, and the average value is the local health value of the bridge vibration; Step 11: Determine the bridge vibration condition and whether the bridge vibration is abnormal based on the local health value of the bridge vibration.

8. The bridge health status monitoring method according to claim 7, wherein The first preset distance is 50 meters, and the second preset distance is 100 meters.

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