CN210570519U - Bridge beam slab hinge joint state online recognition device - Google Patents
Bridge beam slab hinge joint state online recognition device Download PDFInfo
- Publication number
- CN210570519U CN210570519U CN201921132480.1U CN201921132480U CN210570519U CN 210570519 U CN210570519 U CN 210570519U CN 201921132480 U CN201921132480 U CN 201921132480U CN 210570519 U CN210570519 U CN 210570519U
- Authority
- CN
- China
- Prior art keywords
- camera
- target
- wireless transmission
- hinge joint
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Bridges Or Land Bridges (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The utility model relates to an interval or the clearance field in object or the hole that is used for the measurement to be separated by specifically are a bridge beam slab hinge joint state on-line identification equipment. The utility model provides a bridge beam slab hinge joint state on-line identification device, includes target (3) and camera (4), characterized by: the system is characterized by further comprising a wireless transmission module (5), a power module (6), a client platform (7) and a cloud data end (8), wherein the target (3) is fixed at the center of the beam slab (1), and the camera (4) is fixed on the bridge pier (2); the wireless signal transmitting end of the wireless transmission module (5) and the client platform (7) are connected with the cloud data end (8) through wireless signals. The utility model discloses with low costs, recognition efficiency is high, and the mark is simple, and the real-time is high.
Description
Technical Field
The utility model relates to an interval or the clearance field in object or the hole that is used for the measurement to be separated by specifically are a bridge beam slab hinge joint state on-line identification equipment.
Background
The assembling construction of the prestressed bridge beam slabs is a mainstream method of the existing bridge construction, and in order to increase the integrity of the bridge, the adjacent beam slabs need to be hinged through a steel structure. Over time, the hinge joint can crack, threatening the safety of the bridge. Therefore, monitoring of the hinge joint must be performed. At present, the method of regularly detecting the bridge is mostly adopted for monitoring the hinge joint, and the static deflection of each beam plate is measured by measuring instruments such as a total station and the like, so that the states of two sides of each beam plate are judged. The method is complex to operate and cannot realize online real-time monitoring. In addition, a method of building a support frame below the middle part of the bridge can be adopted, a displacement meter is installed on the support frame, and the hinge joint is monitored by measuring the dynamic deflection during collapse. The method has high installation cost and is limited by environment, and if the beam plate is positioned on a water area, the support frame cannot be built.
SUMMERY OF THE UTILITY MODEL
In order to overcome prior art's defect, provide a monitoring facilities with low costs, that identification efficiency is high, the mark is simple, the real-time is high, the utility model discloses a bridge beam slab hinge joint state on-line identification device.
The utility model discloses a following technical scheme reaches the invention purpose:
the utility model provides a bridge beam slab hinge joint state on-line identification device, includes target and camera, characterized by: also comprises a wireless transmission module, a power supply module, a client platform and a cloud data terminal,
the target is provided with an illuminating lamp, the target is fixed at the center of the beam plate, a computing module is arranged in the camera, the camera is fixed on the pier through a support, the camera is over against the target, the target is positioned at the center of the viewing range of the camera, and the target is still positioned in the viewing range of the camera when the displacement of the beam plate is maximum;
the computing module of the camera is connected with the signal input end of the wireless transmission module through a signal wire, the power output end of the power supply module is respectively connected with the camera and the wireless transmission module through a wire, and the wireless signal transmitting end of the wireless transmission module and the client platform are both connected with the cloud data end through wireless signals;
the embedded software of the camera is internally provided with embedded software, the embedded software of the camera is internally provided with a threshold value delta of characteristic value difference, and the delta can be stored in the computing module of the camera by setting the delta of the embedded software of the camera through a remote data management platform.
The bridge beam slab hinge joint state on-line identification device is characterized in that: the wireless transmission module is used for wireless signals of wifi, 3G, 4G or 5G signals, the power module is used for solar cells, and the client platform is used for a microcomputer, a tablet personal computer or a smart phone.
The bridge beam slab hinge joint state on-line identification device is characterized in that: the quantity of target and camera equals and is no less than three, and every camera is just to a target respectively.
The use method of the bridge beam slab hinge joint state online identification device is characterized in that: the method is implemented in sequence according to the following steps:
mounting, namely after two ends of a beam plate are respectively erected on a pier, fixing a target with an illuminating lamp at the center of the beam plate, fixing a camera with a built-in computing module on the pier through a support, wherein the camera is over against the target, and the target is positioned at the center of the viewing range of the camera and is still positioned in the viewing range of the camera when the beam plate reaches the maximum displacement;
the computing module of the camera is connected with the signal input end of the wireless transmission module through a signal wire, the power output end of the power supply module is respectively connected with the camera and the wireless transmission module through a wire, and the wireless signal transmitting end of the wireless transmission module and the client platform are both connected with the cloud data end through wireless signals;
displacement threshold S of built-in beam plate of calculation module of cameraMax;
recording, wherein each camera always records the displacement S (T) of the target corresponding to the T moment in the latest T time period due to the vibration of the beam plate, and if S (T) exists in one T time period>SMaxIn the situation, all cameras transmit the displacement data, namely S (T), recorded in the period T as an alarm data packet to a cloud data end through a wireless transmission module, wherein T belongs to [0, T ∈ T];
and thirdly, pushing, namely after the cloud data end receives the alarm data packet, calculating the fundamental frequency of S (t) of each beam plate through FFT frequency domain analysis, drawing a fundamental frequency distribution graph of the beam plates, judging the hinge joint state between the beam plates according to the fundamental frequency distribution graph and waveform characteristics (such as maximum displacement values and the like), and pushing an alarm signal to the client platform if the maximum displacement or the maximum fundamental frequency calculation value exceeds a threshold value delta (the threshold value is usually expressed in percentage) of the characteristic value difference.
the using method of the bridge beam slab hinge joint state online identification device is characterized in that the step III is sequentially judged as follows:
①, the camera samples the displacement of the target according to a certain frequency (such as 20 hz), and records Si(n) is the current displacement sampling value sequence of the ith target, and n represents the nth sample;
② judging whether S isi(n)>S0if yes, continuing the third step, otherwise returning to the ① step;
saving displacement sampling value sequenceTo be analyzed, the analysis result is obtained,={Si(n--1), Si(n-),……,Si(n+) Where k is the sequence of displacement sample values to be analyzed(iii) number (e.g., k = 100);
to eachFFT analysis is carried out to obtain fundamental frequency fiFor each ofPerforming time domain analysis to obtain maximum displacement Max);
judging whether or not×100%>Delta, or×100%>delta, wherein delta is a threshold value of the characteristic value difference, and is taken as 20-30 percent, if yes, the step ① is continued, and if not, the first step is returned;
sixthly, judging that cracks exist between the i-1 th target and the beam plate corresponding to the i target.
The utility model discloses a real-time problem has not only been solved to thing networking and machine vision technique, can record the dynamic amount of deflection and the frequency characteristic of roof beam slab moreover, effectively discern the condition that the hinge splits.
The utility model discloses following beneficial effect has:
1. high effectiveness: the utility model discloses based on the dynamic record of displacement threshold value and fundamental frequency component distribution algorithm, effectively discern the roof beam slab hinge seam form;
2. the cost is low: the utility model adopts the embedded system and the CMOS camera chip to automatically resolve in real time, and keeps the characteristic of low cost;
3. the mark is simple: the utility model adopts simple image target and LED illumination to realize all-weather monitoring;
4. high timeliness: the utility model discloses a backstage big data thing networking platform supports to implement online analysis and warning to the hinge seam state of beam slab.
Drawings
FIG. 1 is a schematic view of the installation of the present invention;
fig. 2 is a schematic structural diagram of the present invention.
Detailed Description
The invention is further illustrated by the following specific examples.
Example 1
An online recognition device for bridge beam slab hinge joint states comprises a target 3, a camera 4, a wireless transmission module 5, a power module 6, a client platform 7 and a cloud data end 8,
two ends of the beam plate 1 are respectively erected on the piers 2;
the target 3 is provided with an illuminating lamp, the target 3 is fixed at the center of the beam plate 1, the camera 4 is internally provided with a computing module, the camera 4 is fixed on the pier 2 through a support, the camera 4 is over against the target 3, the target 3 is positioned at the center of the view finding range of the camera 4, and the target 3 is still positioned in the view finding range of the camera 4 when the beam plate 1 reaches the maximum displacement;
a computing module of the camera 4 is connected with a signal input end of the wireless transmission module 5 through a signal wire, a power output end of the power supply module 6 is respectively connected with the camera 4 and the wireless transmission module 5 through wires, and a wireless signal transmitting end of the wireless transmission module 5 and the client platform 7 are both connected with the cloud data end 8 through wireless signals;
embedded software is built in a computing module of the camera 4, a threshold value delta of a characteristic value difference is stored in the embedded software of the camera 4, and the delta can be set for the embedded software of the camera 4 through a remote data management platform and then stored in the computing module of the camera 4.
In this embodiment: the wireless signal of the wireless transmission module 5 is selected from wifi, 3G, 4G or 5G signals, the power module 6 is selected from a solar battery, and the client platform 7 is selected from a microcomputer, a tablet personal computer or a smart phone.
In this embodiment: the number of the targets 3 and the number of the cameras 4 are equal and not less than three, and each camera 4 is respectively opposite to one target 3.
When the embodiment is used: the method is implemented in sequence according to the following steps:
①, mounting, namely after two ends of a beam plate 1 are respectively erected on piers 2, fixing a target 3 with a lighting lamp at the center of the beam plate 1, fixing a camera 4 with a built-in computing module on the piers 2 through a support, wherein the camera 4 is over against the target 3, and enabling the target 3 to be positioned at the center of the viewing range of the camera 4, and when the beam plate 1 reaches the maximum displacement, the target 3 is still positioned in the viewing range of the camera 4;
a computing module of the camera 4 is connected with a signal input end of the wireless transmission module 5 through a signal wire, a power output end of the power supply module 6 is respectively connected with the camera 4 and the wireless transmission module 5 through wires, and a wireless signal transmitting end of the wireless transmission module 5 and the client platform 7 are both connected with the cloud data end 8 through wireless signals;
displacement threshold S of beam plate 1 with built-in calculation module of camera 4Max;
recording that each camera 4 always records the displacement S (T) of the target 3 just opposite to the T moment in the latest T time period due to the vibration of the beam plate 1, if the displacement S (T) exists in one T time period>SMaxIn the case of (1), all the cameras 4 transmit the displacement data, namely S (T), recorded in the period of time T as an alarm data packet to the cloud data terminal 8 through the wireless transmission module 5, wherein T belongs to [0, T ∈ T];
and thirdly, pushing, namely after receiving the alarm data packet, the cloud data end 8 calculates the fundamental frequency of each S (t) through FFT frequency domain analysis, draws a fundamental frequency distribution graph of the beam plate 1, judges the hinge joint state between the beam plates 1 according to the fundamental frequency distribution graph and waveform characteristics (such as maximum displacement values and the like), and pushes an alarm signal to the client platform 7 if the maximum displacement or maximum fundamental frequency calculation value exceeds a threshold value delta (the threshold value is usually expressed in percentage) of characteristic value difference.
in the embodiment, the step III is sequentially judged as follows:
①, the camera 4 samples the displacement of the target 3 according to a certain frequency, the sampling frequency of the embodiment is 20hz, and S is recordedi(n) is the current displacement sampling value sequence of the ith target 3, and n represents the nth sample;
② judging whether S isi(n)>S0, if yes, continuing the step ③, otherwise, returning to the ① step;
saving displacement sampling value sequenceTo be analyzed, the analysis result is obtained,={Si(n--1), Si(n-),……,Si(n+) Where k is the sequence of displacement sample values to be analyzedThe number of the (c) is 100;
to eachFFT analysis is carried out to obtain fundamental frequency fiFor each ofPerforming time domain analysis to obtain maximum displacement Max);
judging whether or not×100%>Delta, or×100%>δ, wherein δ is a threshold value of the difference of the characteristic values, generally taking 20% to 30%, taking 30% in the embodiment, if yes, continuing the sixth step, otherwise, returning to the ① th step;
sixthly, judging that a crack exists between the i-1 target 3 and the beam plate 1 corresponding to the i target 3.
Claims (3)
1. The utility model provides a bridge beam slab hinge joint state on-line identification device, includes target (3) and camera (4), characterized by: also comprises a wireless transmission module (5), a power supply module (6), a client platform (7) and a cloud data terminal (8),
the target (3) is provided with an illuminating lamp, the target (3) is fixed at the center of the beam plate (1), a computing module is arranged in the camera (4), the camera (4) is fixed on the pier (2), the camera (4) is over against the target (3), the target (3) is positioned at the center of the view finding range of the camera (4), and the target (3) is still positioned in the view finding range of the camera (4) when the beam plate (1) achieves the maximum displacement;
a computing module of the camera (4) is connected with a signal input end of the wireless transmission module (5) through a signal line, a power output end of the power module (6) is respectively connected with the camera (4) and the wireless transmission module (5) through wires, and a wireless signal transmitting end of the wireless transmission module (5) and the client platform (7) are both connected with a cloud data end (8) through wireless signals;
embedded software is arranged in a computing module of the camera (4), and a threshold delta of the characteristic value difference is stored in the embedded software of the camera (4).
2. The bridge beam slab hinge joint state online identification device of claim 1, characterized in that: the wireless signal of the wireless transmission module (5) is selected from wifi, 3G, 4G or 5G signals, the power module (6) is selected from a solar battery, and the client platform (7) is selected from a microcomputer, a tablet personal computer or a smart phone.
3. The bridge beam slab hinge joint state online identification device of claim 2, characterized in that: the number of the targets (3) and the number of the cameras (4) are equal and not less than three, and each camera (4) is respectively opposite to one target (3).
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201921132480.1U CN210570519U (en) | 2019-07-18 | 2019-07-18 | Bridge beam slab hinge joint state online recognition device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201921132480.1U CN210570519U (en) | 2019-07-18 | 2019-07-18 | Bridge beam slab hinge joint state online recognition device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN210570519U true CN210570519U (en) | 2020-05-19 |
Family
ID=70641431
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201921132480.1U Active CN210570519U (en) | 2019-07-18 | 2019-07-18 | Bridge beam slab hinge joint state online recognition device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN210570519U (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110455207A (en) * | 2019-07-18 | 2019-11-15 | 嘉兴同禾传感技术有限公司 | Bridge beam slab cuts with scissors gap-like state online recognition device and its application method |
-
2019
- 2019-07-18 CN CN201921132480.1U patent/CN210570519U/en active Active
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110455207A (en) * | 2019-07-18 | 2019-11-15 | 嘉兴同禾传感技术有限公司 | Bridge beam slab cuts with scissors gap-like state online recognition device and its application method |
CN110455207B (en) * | 2019-07-18 | 2024-04-23 | 浙江同禾传感技术有限公司 | Online recognition device for hinge joint state of bridge beam slab and use method thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101614602B (en) | Method and device for monitoring power transmission line | |
CN114971173B (en) | Intelligent power transmission panoramic management and control platform based on Internet of things technology | |
CN107843285B (en) | Wind-driven force effect remote monitoring system of power transmission tower line and application | |
CN103940358A (en) | Real-time bridge monitoring system | |
CN115096373A (en) | Bridge engineering health detection system based on sensor | |
CN209978951U (en) | Bridge structure health monitoring system | |
CN110763270A (en) | Power transmission line tower pole working condition monitoring system based on multiple information acquisition | |
CN110455207B (en) | Online recognition device for hinge joint state of bridge beam slab and use method thereof | |
CN210570519U (en) | Bridge beam slab hinge joint state online recognition device | |
CN103712586A (en) | Real-time automatic monitoring system of bent slope pier beam displacement | |
CN116780758A (en) | On-line monitoring system and method for multi-sensor data fusion of power transmission line | |
CN113112757B (en) | Ground wire specific load change quantity measuring method, system, device and storage medium | |
CN113109587B (en) | Method, system and device for measuring wind speed of power transmission line and storage medium | |
CN114459531A (en) | Station building structure safety monitoring method and device based on meteorological information and electronic equipment | |
CN104266921A (en) | Portable evaluation system and method based on wireless intelligent nodes for fatigue life of steel bridge | |
CN112764130A (en) | Power grid meteorological monitoring and early warning device and monitoring method | |
CN201527279U (en) | Power transmission line ice covering monitoring device based on GPRS | |
CN114613540B (en) | Cable anti-external-damage monitoring method, system, device and storage medium | |
CN116634487A (en) | Real-time detection control system of 5G communication base station | |
CN116722641A (en) | Low-power-consumption operation system of node equipment of Internet of things | |
CN116468422A (en) | Method and device for predicting wire clamp temperature rise and residual life of power transmission line | |
CN113267131A (en) | Transmission line icing thickness detection system | |
WO2022056677A1 (en) | Monitoring, collection and analysis systems and methods thereof, and device, storage medium, program and program product | |
CN221100018U (en) | Monitoring device | |
CN110702739A (en) | Road surface state detection early warning method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CP03 | Change of name, title or address |
Address after: No.2, building 31, No.522, Asia Pacific Road, Nanhu District, Jiaxing City, Zhejiang Province Patentee after: Zhejiang Tonghe Sensing Technology Co., Ltd Address before: Room 309, 301 and 302, building 3, No. 3339, linggongtang Road, Nanhu District, Jiaxing City, Zhejiang Province Patentee before: JIAXING TONGHE SENSING TECHNOLOGY Co.,Ltd. |
|
CP03 | Change of name, title or address |