CN110455207B - Online recognition device for hinge joint state of bridge beam slab and use method thereof - Google Patents
Online recognition device for hinge joint state of bridge beam slab and use method thereof Download PDFInfo
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- CN110455207B CN110455207B CN201910651836.0A CN201910651836A CN110455207B CN 110455207 B CN110455207 B CN 110455207B CN 201910651836 A CN201910651836 A CN 201910651836A CN 110455207 B CN110455207 B CN 110455207B
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- 230000005540 biological transmission Effects 0.000 claims abstract description 29
- 238000006073 displacement reaction Methods 0.000 claims description 37
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 6
- 238000009434 installation Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 2
- 238000013523 data management Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/14—Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
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Abstract
The invention relates to the field of spacing or clearance of objects or holes for metering and separating, in particular to an on-line recognition device for a hinge joint state of a bridge beam plate and a use method thereof. The utility model provides an online recognition device of bridge beam slab hinge state, includes target (3) and camera (4), characterized by: the system further comprises 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 application method of the bridge beam slab hinge joint state on-line identification device is characterized by comprising the following steps of: the method comprises the following steps of: ① mounting; ② records; ③ pushing. The invention has the advantages of low cost, high recognition efficiency, simple marking and high instantaneity.
Description
Technical Field
The invention relates to the field of spacing or clearance of objects or holes for metering and separating, in particular to an on-line recognition device for a hinge joint state of a bridge beam plate and a use method thereof.
Background
The prestressed bridge beam slab assembling construction is a mainstream method of the current bridge construction, and adjacent beam slabs are required to be hinged through steel structures in order to increase the integrity of the bridge. Over time, the hinge can crack, threatening the safety of the bridge. Therefore, the hinge joint must be monitored. At present, a method for periodically detecting a bridge is mostly adopted for monitoring hinge joints, and the static deflection of each beam slab is measured through measuring instruments such as a total station, so that the states of two sides of each beam slab are judged. The method is complex to operate and cannot realize online real-time monitoring. In addition, a method of constructing a support frame below the middle part of the bridge can be adopted, a displacement meter is arranged on the support frame, and a hinge joint is monitored by a method of measuring the dynamic deflection in the collapse process. The method has high installation cost and is limited by environment, for example, the beam plate is positioned on a water area, so that the support frame cannot be built.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides monitoring equipment with low cost, high identification efficiency, simple marking and high real-time performance, and discloses an on-line identification device for the hinge joint state of a bridge beam plate and a use method thereof.
The invention achieves the aim through the following technical scheme:
The utility model provides a bridge beam slab hinge state on-line identification device, includes target and camera, characterized by: the system also comprises a wireless transmission module, a power module, a client platform and a cloud data end,
The target is provided with an illuminating lamp, the target is fixed at the center of the beam plate, the camera is internally provided with a calculation module, the camera is fixed on the bridge pier through a bracket, the camera is opposite to the target, the target is positioned at the center of the view finding range of the camera, and the target is still positioned in the view finding 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 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 is built in the computing module of the camera, the threshold delta with the difference of characteristic values is stored in the embedded software of the camera, and the delta can be set by the remote data management platform to the embedded software of the camera so as to be stored in the computing module of the camera.
The bridge beam slab hinge state on-line identification device is characterized by: the wireless signal of the wireless transmission module is wifi, 3G, 4G or 5G signal, the power module is solar battery, and the client platform is microcomputer, tablet personal computer or smart phone.
The bridge beam slab hinge state on-line identification device is characterized by: the number of targets and cameras is equal to or more than three, and each camera is opposite to one target respectively.
The application method of the bridge beam slab hinge joint state online identification device is characterized by comprising the following steps of: the method comprises the following steps of:
① And (2) mounting: after two ends of a beam plate are respectively erected on bridge piers, 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 bridge piers through a bracket, enabling the camera to face the target, enabling the target to be positioned at the center of the camera view finding range, and enabling the target to be still positioned in the camera view finding range 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 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 displacement threshold S Max of the beam plate is arranged in the calculation module of the camera;
② Recording: each camera always records the displacement S (T) of a target corresponding to the moment T in the latest T period due to the vibration of the beam plate, and if the condition of S (T) > S Max exists in one T period, all cameras transmit displacement data recorded in the current T period, namely S (T), as an alarm data packet to a cloud data end through a wireless transmission module, wherein T epsilon [0, T ];
③ Pushing: after receiving the alarm data packet, the cloud data end calculates the fundamental frequency of S (t) of each beam plate through FFT frequency domain analysis, draws a fundamental frequency distribution diagram of the beam plates, judges the hinge joint state between the beam plates according to the fundamental frequency distribution diagram and waveform characteristics (such as displacement maximum value and the like), and pushes an alarm signal to a client platform if the maximum displacement or the maximum fundamental frequency calculated value exceeds a threshold delta (the threshold is usually expressed in a percentage form) of the characteristic value difference.
The application method of the bridge beam slab hinge joint state online identification device is characterized by comprising the following steps of: in step ③, the following steps are sequentially performed:
① The camera samples the displacement of the target according to a certain frequency (such as 20 hz), S i (n) is the current displacement sampling value sequence of the ith target, and n represents the nth sample;
② Judging whether S i (n) is greater than S0, if so, continuing to step ③, and if not, returning to step ①;
③ Preserving a sequence of displacement sample values To be analyzed,/>={Si(n-/>-1), Si(n-/>),……,Si(n+/>) And k is the displacement sampling value sequence/>, to be analyzedNumber of (e.g., k=100);
④ For each of FFT analysis is performed to obtain the fundamental frequency f i, for each/>Performing time domain analysis to obtain maximum displacement Max%);
⑤ Judging whether or notX 100% > delta, or/>X 100% > delta, wherein delta is the threshold value of the characteristic value difference, taking 20% -30%, if yes, continuing the ⑥ th step, if not, returning to the ① th step;
⑥ Judging that a crack exists between the ith-1 target and the beam plate (1) corresponding to the ith target.
According to the invention, through the Internet of things and the machine vision technology, not only is the real-time problem solved, but also the dynamic deflection and the frequency characteristic of the beam plate can be measured, and the cracking condition of the hinge joint can be effectively identified.
The invention has the following beneficial effects:
1. high effectiveness: the invention effectively identifies the hinge joint shape of the beam slab based on the dynamic record of the displacement threshold value and the fundamental frequency distribution algorithm;
2. Low cost: the embedded system and the CMOS camera chip are adopted to automatically calculate in real time, so that the low-cost characteristic is maintained;
3. The marking is simple: the invention adopts a simple image target and LED illumination to realize all-weather monitoring;
4. High timeliness: according to the invention, the on-line analysis and alarm of the hinge joint state of the beam plate are supported through the background big data Internet of things platform.
Drawings
FIG. 1 is a schematic installation view of the present invention;
Fig. 2 is a schematic structural view of the present invention.
Detailed Description
The invention is further illustrated by the following specific examples.
Example 1
An on-line recognition device for the hinge joint state of a bridge beam plate 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 slab 1 are respectively erected on the bridge pier 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 calculating module, the camera 4 is fixed on the bridge pier 2 through a bracket, the camera 4 is opposite to 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;
the computing module of the camera 4 is connected with the signal input end of the wireless transmission module 5 through a signal wire, the power output end of the power module 6 is respectively connected with the camera 4 and the wireless transmission module 5 through wires, and the 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;
the embedded software is built in the computing module of the camera 4, the threshold delta of the difference of the characteristic values is stored in the embedded software of the camera 4, and the delta can be set on the embedded software of the camera 4 through the remote data management platform so as to be stored in the computing module of the camera 4.
In this embodiment: the wireless signal of the wireless transmission module 5 is wifi, 3G, 4G or 5G signal, the power module 6 is solar battery, and the client platform 7 is microcomputer, tablet personal computer or smart phone.
In this embodiment: the number of targets 3 and cameras 4 is equal to or not less than three, and each camera 4 faces one target 3.
When the embodiment is used, the following steps are adopted: the method comprises the following steps of:
① And (2) mounting: after two ends of a beam plate 1 are respectively erected on bridge piers 2, fixing a target 3 with an illuminating lamp at the center of the beam plate 1, fixing a camera 4 with a built-in computing module on the bridge piers 2 through a bracket, enabling the camera 4 to be opposite to the target 3, enabling the target 3 to be positioned at the center of a view finding range of the camera 4, and enabling the target 3 to be still positioned in the view finding range of the camera 4 when the beam plate 1 reaches the maximum displacement;
the computing module of the camera 4 is connected with the signal input end of the wireless transmission module 5 through a signal wire, the power output end of the power module 6 is respectively connected with the camera 4 and the wireless transmission module 5 through wires, and the 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;
the displacement threshold S Max of the beam slab 1 is arranged in the calculation module of the camera 4;
② Recording: each camera 4 always records the displacement S (T) of the target 3 facing at the moment T in the latest T period due to the vibration of the beam plate 1, and if the condition of S (T) > S Max exists in one T period, all cameras 4 transmit displacement data recorded at the moment T period, namely S (T), as an alarm data packet to the cloud data end 8 through the wireless transmission module 5, wherein T epsilon [0, T ];
③ Pushing: 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 diagram of the beam plates 1, and then judges the hinge joint state between the beam plates 1 according to the fundamental frequency distribution diagram and waveform characteristics (such as displacement maximum value, etc.), if the maximum displacement or the maximum fundamental frequency calculated value exceeds a threshold delta (the threshold is usually expressed in percentage form) of the characteristic value difference, an alarm signal is pushed to the client platform 7.
In this embodiment: in step ③, the following steps are sequentially performed:
① The camera 4 samples the displacement of the target 3 according to a certain frequency, the sampling frequency of the embodiment is 20hz, S i (n) is the current displacement sampling value sequence of the ith target 3, and n represents the nth sample;
② Judging whether S i (n) is greater than S0, if so, continuing to step ③, and if not, returning to step ①;
③ Preserving a sequence of displacement sample values To be analyzed,/>={Si(n-/>-1), Si(n-/>),……,Si(n+/>) And k is the displacement sampling value sequence/>, to be analyzedIn this embodiment k, 100;
④ For each of FFT analysis is performed to obtain the fundamental frequency f i, for each/>Performing time domain analysis to obtain maximum displacement Max%);
⑤ Judging whether or notX 100% > delta, or/>X 100% > delta, wherein delta is the threshold of the feature value difference, generally 20% -30%, in this embodiment 30%, if yes, continuing to step ⑥, if not, returning to step ①;
⑥ Judging that a crack exists between the ith-1 target 3 and the beam plate 1 corresponding to the ith target 3.
Claims (3)
1. The application method of the bridge beam slab hinge joint state on-line identification device is characterized by comprising the following steps of: the method comprises the following steps of: s1, installation: after two ends of a beam plate (1) are respectively erected on a bridge pier (2), fixing a target (3) with an illuminating lamp at the center of the beam plate (1), fixing a camera (4) with a built-in calculation module on the bridge pier (2), enabling the camera (4) to be opposite to the target (3), enabling the target (3) to be positioned at the center of a view finding range of the camera (4), and enabling the target (3) to be still positioned in the view finding range of the camera (4) when the beam plate (1) reaches the maximum displacement; the computing module of the camera (4) is connected with the signal input end of the wireless transmission module (5) through a signal wire, the power output end of the power module (6) is respectively connected with the camera (4) and the wireless transmission module (5) through wires, and the 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; the displacement threshold SMax of the beam plate (1) is arranged in the calculation module of the camera (4); the number of the targets (3) and the cameras (4) is equal to or more than three, and each camera (4) is opposite to one target (3) respectively;
S2, recording: each camera (4) always records the displacement S (T) of the target (3) facing at the moment T in the latest T period due to the vibration of the beam plate (1), and if the condition of S (T) > SMax exists in one T period, all cameras (4) transmit displacement data recorded at the current T period, namely S (T), as an alarm data packet to a cloud data end (8) through a wireless transmission module (5), wherein T E [0, T ];
S3 pushing: 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 diagram of the beam plates (1), judges the hinge joint state between the beam plates (1) according to the fundamental frequency distribution diagram and waveform characteristics, and pushes an alarm signal to the client platform (7) if the maximum displacement or the maximum fundamental frequency calculated value exceeds a threshold delta of characteristic value difference;
S3, judging in sequence as follows: ① The camera (4) samples the displacement of the target (3) according to a certain frequency, si (n) is recorded as the current displacement sampling value sequence of the ith target, and n represents the nth sample; ② Judging whether Si (n) is larger than SMax, if so, continuing to step ③, otherwise, returning to step ①; ③ Preserving a sequence of displacement sample values To be analyzed, the sample is prepared,Where k is the sequence of displacement sample values to be analyzed/>Is the number of (3); ④ For each/>FFT analysis is performed to obtain the fundamental frequency fi, for each/>Performing time domain analysis to obtain maximum displacement/>⑤ Judging whether or not/>Or/>Wherein delta is a threshold value of the characteristic value difference, 20% -30% is taken, if yes, the ⑥ th step is continued, if not, the ① th step is returned; ⑥ Judging that a crack exists between the ith-1 target and the beam plate (1) corresponding to the ith target.
2. The device for on-line recognition of the hinge state of the bridge girder slab, which is applied to the using method in the claim 1, comprises a target (3) and a camera (4), and is characterized in that: the camera comprises a beam plate (1), a target (3), a wireless transmission module (5), a power module (6), a client platform (7) and a cloud data end (8), wherein the target (3) is provided with an illuminating lamp, the target (3) is fixed at the center of the beam plate (1), a calculation module is arranged in the camera (4), the camera (4) is fixed on a bridge pier (2), the camera (4) is opposite to the target (3), the target (3) is positioned at the center of a 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; the computing module of the camera (4) is connected with the signal input end of the wireless transmission module (5) through a signal wire, the power output end of the power module (6) is respectively connected with the camera (4) and the wireless transmission module (5) through wires, and the 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; the calculation module of the camera (4) is internally provided with embedded software, and the embedded software of the camera (4) stores a threshold delta of the characteristic value difference; the number of targets (3) and cameras (4) is equal to or more than three, and each camera (4) is opposite to one target (3) respectively.
3. The bridge beam slab hinge state online identification device according to claim 2, wherein: the wireless signal of the wireless transmission module (5) is wifi, 3G, 4G or 5G, the power module (6) is a solar battery, and the client platform (7) is a microcomputer, a tablet personal computer or a smart phone.
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CN112945969B (en) * | 2021-01-26 | 2022-09-23 | 浙江省交通运输科学研究院 | Hollow slab beam bridge hinge joint damage identification method and system based on machine vision measurement |
CN115808324B (en) * | 2023-01-30 | 2023-05-30 | 湖南东数交通科技有限公司 | Light safety management monitoring method and system for small and medium span bridges |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2634428Y (en) * | 2003-07-24 | 2004-08-18 | 南京理工大学 | Displacement automatic reading device based on image |
KR20120015819A (en) * | 2010-08-13 | 2012-02-22 | 김광수 | Non-contact method for generating parameter data for measuring displacement of structure |
JP2013007624A (en) * | 2011-06-23 | 2013-01-10 | Ohbayashi Corp | Displacement observation method and displacement observation system |
CN103790108A (en) * | 2013-12-16 | 2014-05-14 | 重庆岩安科技有限公司 | Comprehensive bridge detection device |
CN103940358A (en) * | 2014-04-11 | 2014-07-23 | 郭敏 | Real-time bridge monitoring system |
CN104613891A (en) * | 2015-02-10 | 2015-05-13 | 上海数久信息科技有限公司 | Bridge deflection detection system and detection method |
CN105067208A (en) * | 2015-08-14 | 2015-11-18 | 哈尔滨工业大学 | Multi-channel bridge flexibility monitoring system based on CCD and method |
CN105136101A (en) * | 2015-05-04 | 2015-12-09 | 合肥徽拓电子技术有限公司 | Real-time bridge state parameter monitoring and alarm system |
CN105486243A (en) * | 2015-12-24 | 2016-04-13 | 成都上甲光电科技有限公司 | Bridge flexibility monitoring system based on visible light imaging technology |
CN109631787A (en) * | 2018-12-27 | 2019-04-16 | 长安大学 | The spot center detection method and deflection of bridge span image-type detection device of transmission-type target image |
CN210570519U (en) * | 2019-07-18 | 2020-05-19 | 嘉兴同禾传感技术有限公司 | Bridge beam slab hinge joint state online recognition device |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4231930B2 (en) * | 2004-07-30 | 2009-03-04 | 国立大学法人京都大学 | Displacement measuring method, displacement measuring apparatus, displacement measuring target and structure |
-
2019
- 2019-07-18 CN CN201910651836.0A patent/CN110455207B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2634428Y (en) * | 2003-07-24 | 2004-08-18 | 南京理工大学 | Displacement automatic reading device based on image |
KR20120015819A (en) * | 2010-08-13 | 2012-02-22 | 김광수 | Non-contact method for generating parameter data for measuring displacement of structure |
JP2013007624A (en) * | 2011-06-23 | 2013-01-10 | Ohbayashi Corp | Displacement observation method and displacement observation system |
CN103790108A (en) * | 2013-12-16 | 2014-05-14 | 重庆岩安科技有限公司 | Comprehensive bridge detection device |
CN103940358A (en) * | 2014-04-11 | 2014-07-23 | 郭敏 | Real-time bridge monitoring system |
CN104613891A (en) * | 2015-02-10 | 2015-05-13 | 上海数久信息科技有限公司 | Bridge deflection detection system and detection method |
CN105136101A (en) * | 2015-05-04 | 2015-12-09 | 合肥徽拓电子技术有限公司 | Real-time bridge state parameter monitoring and alarm system |
CN105067208A (en) * | 2015-08-14 | 2015-11-18 | 哈尔滨工业大学 | Multi-channel bridge flexibility monitoring system based on CCD and method |
CN105486243A (en) * | 2015-12-24 | 2016-04-13 | 成都上甲光电科技有限公司 | Bridge flexibility monitoring system based on visible light imaging technology |
CN109631787A (en) * | 2018-12-27 | 2019-04-16 | 长安大学 | The spot center detection method and deflection of bridge span image-type detection device of transmission-type target image |
CN210570519U (en) * | 2019-07-18 | 2020-05-19 | 嘉兴同禾传感技术有限公司 | Bridge beam slab hinge joint state online recognition device |
Non-Patent Citations (1)
Title |
---|
"PSD技术在桥梁结构位移量测中的应用";韩亮 等;《工程质量》;第33卷(第1期);50-53 * |
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