A bridge health status monitoring device and method

Abstract

The present invention discloses a bridge health status monitoring device and method, which relates to the field of bridge monitoring, and 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 about vehicles passing through the bridge, obtain a video code stream, and send it to the intelligent analysis unit; the positioning antenna is used to receive location information provided by a satellite, locate the bridge section and the position of the data acquisition unit; the vibration sensor is used to detect the vibration signal generated by the bridge section when a vehicle passes by and send it to the intelligent analysis unit; the video intelligent analysis unit is used to parse the video code stream and the vibration signal, and send the parsed video code stream and vibration signal to the central platform; the central platform 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 code stream. The above device in the present invention can accurately reflect the health status of the bridge.

Description

Technical Field

[0001] 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

[0002] In recent years, with the improvement of engineering quality requirements, the demand for engineering measurement has also increased. The current technical status and existing problems in the scene area dominated by bridges are mainly as follows:

[0003] Bridge health inspection mainly relies on manual inspection, which is relatively backward in technology and high in cost. It is also impossible to find defects and abnormal accidents immediately. In addition, manual inspection is more subjective and has a high probability of missing reports.

[0004] The means of detecting large-structure vibration of bridges are single and their reliability needs to be improved. Recently, large-structure vibration incidents have occurred in Wuhan Yingwuzhou Yangtze River Bridge and Guangdong Humen Bridge, which have aroused public concern about the safety of large bridges. Even if the vibration of the bridge is within the safe range, the public concerns and safety risks it brings are still worthy of attention.

[0005] Smart bridge maintenance has not yet formed a system and cannot give full play to its advantages. 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 joint force and give full play to the advantages of smart maintenance.

[0006] Aiming at the vibration of the bridge, the present invention proposes a complete set of digital-based intelligent recognition technology for application in bridge vibration detection. Summary of the invention

[0007] 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.

[0008] To achieve the above object, the present invention provides the following solutions:

[0009] A bridge health status monitoring device, the monitoring device comprising:

[0010] Data acquisition unit, positioning antenna, industrial switch, video intelligent analysis unit, vibration sensor and central platform;

[0011] The data acquisition unit is used to collect information about vehicles passing through the bridge, obtain a video code stream, and send the video code stream to the intelligent analysis unit through the industrial switch;

[0012] The positioning antenna is used to receive the position information provided by the satellite, and locate the position of the bridge section and the position of the data acquisition unit;

[0013] The industrial switch is also used to send the video code stream to the central platform;

[0014] 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;

[0015] 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;

[0016] The central platform 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 code stream.

[0017] Optionally, the data acquisition unit is a high-definition camera.

[0018] Optionally, the monitoring device further includes:

[0019] A vertical pole, wherein the data acquisition unit is installed on the vertical pole.

[0020] Optionally, the monitoring device further includes: a power supply module for providing electrical energy.

[0021] Optionally, the monitoring device further includes:

[0022] pole box;

[0023] The positioning wires, power supply module, industrial switch and video intelligent analysis unit are located in the pole box.

[0024] Optionally, the data acquisition unit is a camera, and there are multiple cameras.

[0025] The present invention also provides a bridge health status monitoring method, the monitoring method comprising:

[0026] Step 1: Install cameras at a first preset distance and locate the longitude and latitude coordinates of the cameras;

[0027] Step 2: installing bridge vibration sensors at a second preset distance, and locating the longitude and latitude coordinates of the vibration sensors;

[0028] 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;

[0029] 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 state of the bridge is normal. If it is normal, start to collect the baseline value;

[0030] 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;

[0031] Step 6: After collecting the pre-reference value through the above steps, the filtered reference value is calculated through the filtering algorithm;

[0032] 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, and stores the vehicle information as well as the camera number, time, and location information into the database;

[0033] 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, and the video intelligent analysis unit stores the numerical value and the vibration sensor number, time, and location information in a database;

[0034] Step 9: Divide the correspondence between cameras and vibration sensors, and use the camera closest to the vibration sensor as the reference camera according to the lane direction;

[0035] Step 10: The video intelligent analysis unit extracts vibration data from the database, filters the data with a period of 5 seconds to obtain a vibration detection reference value, calculates the vibration monitoring reference value and the filtered benchmark value to obtain a standard deviation; repeats step 10 to calculate all vibration standard deviations, and calculates the average value of all vibration standard deviations, and the average value is the local health value of bridge vibration;

[0036] Step 11: Determine the bridge vibration condition based on the bridge vibration local health value, and whether the bridge vibration is abnormal.

[0037] Optionally, the first preset distance is 50 meters and the second preset distance is 100 meters.

[0038] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0039] The above scheme of the present invention adopts a reference value error elimination method before calculating the local bridge health value through the bridge vibration sensor, taking into account the errors caused by the vibration of the bridge itself, the toughness of the bridge body and the installation, so that the vibration detection value can more accurately reflect the vibration of the bridge, thereby improving the detection accuracy;

[0040] In terms of deployment design, the product adopts the method of bridge segment statistics, and installs bridge vibration sensors every 100 meters. Even if one or several bridge vibration sensors fail, it will not affect the overall calculation. In addition, in data statistical analysis, all calculations are calculated using filtering to avoid overall calculation errors caused by abnormal collection errors.

[0041] The equipment is maintainable. The cameras and bridge vibration sensors are pre-collected with positions and numbers. The analysis software will obtain the hardware status of each part in real time and immediately provide feedback to the operation and maintenance personnel if a problem occurs. 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 find out the cause and confirm whether it is a problem with the bridge itself, avoiding the need for manual on-site inspection when abnormal vibration detection occurs. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. 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 creative labor.

[0043] Figure 1 A layout diagram of the detection equipment on a single section of the bridge provided by the present invention;

[0044] Figure 2 A schematic diagram of a module of a bridge health status monitoring device provided by the present invention;

[0045] Figure 3 A layout diagram of the equipment for collecting and fusing the health status information of the entire bridge provided by the present invention;

[0046] Figure 4 This is a flow chart of the bridge health status monitoring method provided by the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] 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.

[0049] 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.

[0050] Embodiment 1

[0051] like Figure 1 and Figure 2 As shown, the present invention provides a bridge health status monitoring device, the monitoring device comprising: 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;

[0052] The data acquisition unit 1 in this embodiment is a high-definition camera.

[0053] The data acquisition unit 1 is used to collect information about vehicles passing through the bridge, obtain a video code stream, and send the video code stream to the intelligent analysis unit 5 through the industrial switch 4;

[0054] The positioning antenna 2 is used to receive the position information provided by the satellite, and locate the position of the bridge section and the position of the data acquisition unit;

[0055] The industrial switch 4 is also used to send the video code stream to the central platform 9;

[0056] 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;

[0057] 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;

[0058] 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 code stream.

[0059] The power supply module is used to provide stable power to all equipment on the bridge section.

[0060] The data acquisition unit 1 is installed on the upright pole 8 .

[0061] 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.

[0062] See also Figure 3The bridge status monitoring devices in the present invention are multiple and are installed on both sides of the road at a certain interval to ensure that the camera can clearly see the vehicle shape.

[0063] Embodiment 2

[0064] See also Figure 4 The present invention provides a bridge health status monitoring method, the method comprising:

[0065] Step 1: Install cameras at a first preset distance and locate the longitude and latitude coordinates of the cameras.

[0066] 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.

[0067] Step 2: Install bridge vibration sensors at a second preset distance, and locate the longitude and latitude coordinates of the vibration sensors.

[0068] 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.

[0069] 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 performance when the vibration sensor is installed at different positions on the bridge.

[0070] 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 state of the bridge is normal. When the state is normal, start the baseline value collection.

[0071] 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.

[0072] Step 6: After the pre-reference value is collected through the above steps, the filtered reference value is calculated through the filtering algorithm.

[0073] 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.

[0074] The reason why the present invention adopts the reference value calculation is that after the bridge is successfully built, the bridge itself is always vibrating. Because the vibration sensors are installed at different bridge locations, the vibrations are expressed differently for different vibration sensors; in addition, because the installation environments and bases are different, the vibration sensors will have different response intensities to the vibrations. Therefore, the reference value method is used to balance the calculation methods of the vibration sensors, which can eliminate the differences in the settlement results caused by external differences.

[0075] 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, and stores the vehicle information as well as the camera number, time, and location information into the database.

[0076] 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.

[0077] The acquisition frequency of the vibration sensor is 50HZ.

[0078] Step 9: Divide the correspondence between cameras and vibration sensors, and use the camera closest to the vibration sensor as the reference camera according to the lane direction.

[0079] 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, calculates the vibration monitoring reference value and the filtered benchmark value to obtain a standard deviation; repeats step 10, calculates all vibration standard deviations, and calculates the average of all vibration standard deviations, the average being the local health value of the bridge vibration.

[0080] Step 11: Determine the bridge vibration condition based on the bridge vibration local health value, and whether the bridge vibration is abnormal.

[0081] 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.

[0082] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A monitoring method for a bridge health status monitoring device, characterized in that: The bridge health status monitoring device comprises: Data acquisition unit, positioning antenna, industrial switch, video intelligent analysis unit, vibration sensor and central platform; The data acquisition unit is used to collect information about vehicles passing through the bridge, obtain a video code stream, and send the video code stream to the video intelligent analysis unit through the industrial switch; The positioning antenna is used to receive the position information provided by the satellite, and 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 code 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 video intelligent analysis unit; the video intelligent analysis unit is used to parse the video code stream and the vibration signal, and send the parsed video code stream and vibration signal to the central platform; the central platform 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 code stream; The data acquisition unit is a camera, and there are multiple cameras; The monitoring method comprises: Step 1: Install cameras at a first preset distance and locate the longitude and latitude coordinates of the cameras; Step 2: installing bridge vibration sensors at a second preset distance, and locating the longitude and latitude coordinates of the vibration sensors; 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; 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 state of the bridge is normal. If it is normal, start to collect the baseline 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 the vibration sensors of each part; Step 6: After collecting the pre-reference value through the above steps, the filtered reference value is calculated through the filtering algorithm; 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, and stores the vehicle information as well as the camera number, time, and location information into the database; 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, and the video intelligent analysis unit stores the numerical value and the vibration sensor number, time, and location information in a database; Step 9: Divide the correspondence between cameras and vibration sensors, and use the camera closest to the vibration sensor as the reference camera according to the lane direction; Step 10: The video intelligent analysis unit extracts vibration data from the database, filters the data with a period of 5 seconds to obtain a vibration detection reference value, calculates the vibration detection reference value and the filtered benchmark value to obtain a standard deviation; repeats step 10 to calculate all vibration standard deviations, and calculates the average value of all vibration standard deviations, the average value being the local health value of bridge vibration; Step 11: Determine the bridge vibration condition based on the bridge vibration local health value, and whether the bridge vibration is abnormal.

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

3. The monitoring method of the bridge health status monitoring device according to claim 1, characterized in that: The monitoring device also includes: A vertical pole, wherein the data acquisition unit is installed on the vertical pole.

4. The monitoring method of the bridge health status monitoring device according to claim 3 is characterized in that: The monitoring device also includes: a power supply module, which is used to provide electrical energy.

5. The monitoring method of the bridge health status monitoring device according to claim 1, characterized in that: The monitoring device also includes: pole box; The positioning antenna, power module, industrial switch and video intelligent analysis unit are located in the pole box.

6. The monitoring method of the bridge health status monitoring device according to claim 1, characterized in that: The first preset distance is 50 meters, and the second preset distance is 100 meters.

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