CN213748558U - Mobile steel bridge health monitoring system and equipment - Google Patents
Mobile steel bridge health monitoring system and equipment Download PDFInfo
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- CN213748558U CN213748558U CN202022915926.7U CN202022915926U CN213748558U CN 213748558 U CN213748558 U CN 213748558U CN 202022915926 U CN202022915926 U CN 202022915926U CN 213748558 U CN213748558 U CN 213748558U
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Abstract
The utility model discloses a steel bridge health monitoring system and equipment, include: the automobile body, perception vibration subsystem with acoustic emission detection subsystem all set up inside the automobile body, roughness detection subsystem set up on the bumper of automobile body, roughness detection subsystem scans and video data gathers the bridge deck pavement of detection highway section, natural frequency detection subsystem's virtual vision sensor sets up on the central separation strip railing of the midspan department of bridge, the camera part sets up in the bridge outside. The utility model discloses a remove the automobile body and carry on check out test set, whole equipment is transferable, supplies many bridges to use, arranges the vibration frequency module through automobile body inside, and the rigidity and the health condition of bridge are forecasted in the vibration of perception vehicle, and pass on the data and in time handle through 5G communication module, and real-time feedback structure safety state, this method demonstrates huge potentiality in the aspect of economic nature, mobility and efficiency.
Description
Technical Field
The utility model discloses a portable steel bridge health monitoring system and equipment relates to bridge detection technology field.
Background
The bridge is an important component of a transportation system, and structural failure and disaster accidents are caused by structural component, connection, support or material strength reduction in different degrees caused by vehicle overload, climate change or natural disasters such as earthquake, typhoon or flood. The development of an effective moving technology is urgently needed to detect the damage condition of the bridge, improve the maintenance quality and repair the bridge as far as possible. In order to monitor the operation and/or damage condition of the bridge, the existing bridge health monitoring method needs to install a considerable number of sensors on the bridge to detect modal characteristics, such as frequency, modal shape and damping coefficient, which is called a direct method, and the modal characteristics are directly searched from the vibration data of the bridge; the direct method is to install a plurality of sensors and data acquisition systems on the bridge, and the deployment and maintenance costs of the systems are high, a large amount of generated data cannot be effectively utilized, the problems of slow database retrieval and the like are caused, and the problem that a monitoring system customized for one bridge is difficult to transfer to another bridge and lacks portability is caused.
SUMMERY OF THE UTILITY MODEL
The utility model discloses to the defect among the above-mentioned background art, provide a portable steel bridge health monitoring system and equipment, solve the problem that the aforesaid exists.
In order to achieve the above object, the utility model adopts the following technical scheme: a mobile steel bridge health monitoring system comprises a perception vibration subsystem, an acoustic emission detection subsystem, a flatness detection subsystem, an inherent frequency detection subsystem and a CPU; the perception vibration subsystem, the acoustic emission detection subsystem, the flatness detection subsystem, the natural frequency detection subsystem and the CPU are connected through wireless communication, and a 5G communication module is adopted for communication.
Furthermore, the perception vibrator system comprises an NTi Audio vibrometer, wherein the vibrometer collects vibration data of the bridge, calculates frequency, modal characteristics and rigidity indexes of the bridge and is used for evaluating the health state of the structure.
Furthermore, the acoustic emission detection subsystem comprises an acoustic emission detector, and the acoustic emission detector is used for detecting transient stress waves emitted from deformation or breakage inside the material and judging the damage degree and the damage position of the bridge.
Further, the flatness detection subsystem comprises a Haokwegian HIKVISION NH10 infrared imager and a Sony FDR-AX 7004K HDR high-definition digital camera; the infrared imaging scanner and the video camera scan and acquire video data of bridge deck pavement on a lane where the vehicle runs, identify the position and the degree of a bridge deck disease, and evaluate the state of the bridge deck disease.
Further, the natural frequency detection subsystem comprises a GoPro Hero3 Black Edition camera and a virtual vision catcher, and the natural frequency of the vibration is captured by processing each frame of video and adopting an Euler analysis method.
Further, the CPU comprises a Dell 7510 workstation, the CPU collects and processes the detection data of the four subsystems, the field acquisition data is fused with the BIM model and the finite element analysis calculation result, and the structural performance state is identified, judged and predicted.
The utility model provides a portable steel bridge health monitoring equipment adopts foretell steel bridge health monitoring system, its characterized in that includes: the automobile body, perception vibration subsystem with acoustic emission detection subsystem all set up inside the automobile body, roughness detection subsystem set up on the bumper of automobile body, roughness detection subsystem scans and video data gathers the bridge deck pavement of detection highway section, natural frequency detection subsystem's virtual vision sensor sets up on the central separation strip railing of the midspan department of bridge, the camera part sets up in the bridge outside.
The four subsystems upload the detected and collected data to the CPU, assemble the data into the bridge panoramic information according to the position of the vehicle GPS positioning after simple processing, integrate the bridge panoramic information into the BIM model, adopt the BIM model, fuse the finite element analysis calculation result according to the actual situation and the on-site collected data, and identify, study and judge and predict the structural performance state; obtaining structural damage and structural damage data based on the CPU processing result, continuously correcting bridge structure size information in the BIM model, and updating the finite element model; diseases are accurately positioned, stored and visually displayed in the BIM model, management during operation and maintenance of the bridge is facilitated, and accurate structural stress analysis is obtained.
Has the advantages that: the utility model discloses a remove the automobile body and carry on check out test set, whole equipment can shift, supplies many bridges to use, through the inside perception vibration frequency module that arranges of automobile body, the vibration of perception vehicle, predicts rigidity and the health condition of bridge, and through 5G communication module with data upload and in time handle, feedback structure safety state in real time, this method demonstrates huge potentiality in the aspect of economic nature, mobility and efficiency;
an Acoustic Emission (AE) technology is carried on a vehicle body, so that a nondestructive testing process of a bridge is realized, and the method is particularly suitable for cracks inside a bridge structure.
The imaging infrared scanner and the video camera are combined to detect the damage condition and the unevenness of the bridge floor, so that a foundation is provided for filtering the bridge vibration parameters of the vehicle-mounted sensor and improving the signal-to-noise ratio;
and a virtual visual sensor for capturing the natural frequency of the bridge structure is arranged on the bridge floor, and the vibration frequency of the bridge is captured to correct the output result of the vehicle body sensor.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
fig. 2 is a schematic view of the apparatus of the present invention.
Detailed Description
The following describes the embodiments in further detail with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1-2, a mobile steel bridge health monitoring system comprises a perception vibration subsystem, an acoustic emission detection subsystem, a flatness detection subsystem, a natural frequency detection subsystem and a CPU; the perception vibration subsystem, the acoustic emission detection subsystem, the flatness detection subsystem, the natural frequency detection subsystem and the CPU are connected through wireless communication, and a 5G communication module is adopted for communication.
The perception vibrator system comprises an NTi Audio vibrometer, the vibrometer collects vibration data of the bridge, and frequency, modal characteristics and rigidity indexes of the bridge are calculated to evaluate the health state of the structure.
The acoustic emission detection subsystem comprises an acoustic emission detector, and the acoustic emission detector is used for detecting transient stress waves emitted from deformation or breakage inside the material and judging the damage degree and the damage position of the bridge.
The flatness detection subsystem comprises a Haokwellian vision HIKVISION 10 infrared imager and a Sony FDR-AX 7004K HDR high-definition digital camera; the infrared imaging scanner and the video camera scan and acquire video data of bridge deck pavement on a lane where the vehicle runs, identify the position and the degree of a bridge deck disease, and evaluate the state of the bridge deck disease.
The natural frequency detection subsystem comprises a GoPro Hero3 Black Edition camera, and the natural frequency of the vibration is captured by processing each frame of video and adopting an Euler analysis method.
The CPU comprises a Dell 7510 workstation, and collects and processes the detection data of the four subsystems, fuses the field acquisition data with a BIM model and a finite element analysis calculation result, and identifies, studies and judges and predicts the structural performance state.
The utility model provides a portable steel bridge health monitoring equipment adopts foretell steel bridge health monitoring system, its characterized in that includes: automobile body 1, perception vibrator system 2 with acoustic emission detection subsystem 3 all set up inside automobile body 1, roughness detection subsystem 4 set up on automobile body 1's bumper, roughness detection subsystem 4 scans and video data gathers the bridge deck pavement of detection highway section, natural frequency detection subsystem 5's virtual vision sensor sets up on the central authorities ' separate zone railing of crossing department of bridge 6, and the camera sets up in the bridge outside, CPU7 sets up inside automobile body 1.
The four subsystems of the system upload detection and acquisition data to the CPU, and assemble the data into the bridge panoramic information according to the position of the vehicle GPS positioning after simple processing, and integrate the information into the BIM model. Adopting a BIM model, fusing a finite element analysis calculation result according to an actual situation with field acquisition data, and identifying, studying, judging and predicting the structural performance state; obtaining structural damage and structural damage data based on the CPU processing result, continuously correcting bridge structure size information in the BIM model, and updating the finite element model; diseases are accurately positioned, stored and visually displayed in the BIM model, management during operation and maintenance of the bridge is facilitated, and accurate structural stress analysis is obtained.
Has the advantages that: the utility model discloses a remove the automobile body and carry on check out test set, whole equipment can shift, supplies many bridges to use, through the inside vibration frequency module that arranges of automobile body, the vibration of perception vehicle, predicts rigidity and the health condition of bridge, and through 5G communication module with data upload and in time handle, feedback structure safety state in real time, this method demonstrates huge potentiality in the aspect of economic nature, mobility and efficiency;
an Acoustic Emission (AE) technology is carried on a vehicle body, so that a nondestructive testing process of a bridge is realized, and the method is particularly suitable for cracks inside a bridge structure.
The imaging infrared scanner and the video camera are combined to detect the damage condition and the unevenness of the bridge floor, so that a foundation is provided for filtering the bridge vibration parameters of the vehicle-mounted sensor and improving the signal-to-noise ratio;
and a virtual visual sensor for capturing the natural frequency of the bridge structure is arranged on the bridge floor, and the vibration frequency of the bridge is captured to correct the output result of the vehicle body sensor.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, a plurality of modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be considered as the protection scope of the present invention.
Claims (7)
1. A mobile steel bridge health monitoring system is characterized by comprising a perception vibration subsystem, an acoustic emission detection subsystem, a flatness detection subsystem, a natural frequency detection subsystem and a CPU (central processing unit); the perception vibration subsystem, the acoustic emission detection subsystem, the flatness detection subsystem, the natural frequency detection subsystem and the CPU are all connected through wireless communication.
2. The mobile steel bridge health monitoring system of claim 1, wherein the perceptual vibrator system comprises a NTi Audio vibrometer.
3. The mobile steel bridge health monitoring system of claim 1, wherein the acoustic emission detection subsystem comprises an acoustic emission detector.
4. The mobile steel bridge health monitoring system of claim 1, wherein the flatness detection subsystem comprises a Haokawav vision HIKVISION NH10 infrared imager and a Sony FDR-AX 7004K HDR high definition digital video camera.
5. The mobile steel bridge health monitoring system of claim 1, wherein the natural frequency detection subsystem comprises a GoPro Hero3 Black Edition camera and a virtual vision sensor.
6. The mobile steel bridge health monitoring system of claim 1, wherein the CPU comprises a dell 7510 workstation.
7. A mobile steel bridge health monitoring device, which adopts the mobile steel bridge health monitoring system of any one of the claims 1 to 6, and is characterized by comprising: the automobile body, perception vibration subsystem with acoustic emission detection subsystem all set up inside the automobile body, roughness detection subsystem set up on the bumper of automobile body, roughness detection subsystem scans and video data gathers the bridge deck pavement of detection highway section, natural frequency detection subsystem's virtual vision sensor sets up on the central separation strip railing of the midspan department of bridge, the camera part sets up in the bridge outside.
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| CN202022915926.7U CN213748558U (en) | 2020-12-08 | 2020-12-08 | Mobile steel bridge health monitoring system and equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114324611A (en) * | 2021-12-28 | 2022-04-12 | 江苏中路工程技术研究院有限公司 | Steel bridge deck pavement system health monitoring system and method based on acoustic emission technology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114324611A (en) * | 2021-12-28 | 2022-04-12 | 江苏中路工程技术研究院有限公司 | Steel bridge deck pavement system health monitoring system and method based on acoustic emission technology |
| CN114324611B (en) * | 2021-12-28 | 2024-02-09 | 江苏中路工程技术研究院有限公司 | Steel bridge deck pavement system health monitoring system and method based on acoustic emission technology |
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