CN110455207A - Bridge beam slab cuts with scissors gap-like state online recognition device and its application method - Google Patents
Bridge beam slab cuts with scissors gap-like state online recognition device and its application method Download PDFInfo
- Publication number
- CN110455207A CN110455207A CN201910651836.0A CN201910651836A CN110455207A CN 110455207 A CN110455207 A CN 110455207A CN 201910651836 A CN201910651836 A CN 201910651836A CN 110455207 A CN110455207 A CN 110455207A
- Authority
- CN
- China
- Prior art keywords
- camera
- target
- beam slab
- displacement
- wireless transport
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000006073 displacement reaction Methods 0.000 claims description 36
- 238000005070 sampling Methods 0.000 claims description 6
- 238000009434 installation Methods 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 description 5
- 238000010276 construction Methods 0.000 description 3
- 238000005336 cracking 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
- 230000005540 biological transmission Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 239000003643 water by type Substances 0.000 description 1
Classifications
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Bridges Or Land Bridges (AREA)
Abstract
The present invention relates to the spacing or gap field, specially a kind of bridge beam slab hinge gap-like state online recognition device and its application method for measuring spaced object or hole.A kind of bridge beam slab hinge gap-like state online recognition device, including target (3) and camera (4), it is characterized in that: further including wireless transport module (5), power module (6), client platform (7) and cloud data terminal (8), target (3) is fixed at the center of beam slab (1), and camera (4) is fixed on bridge pier (2)；The wireless signal transmitting terminal of wireless transport module (5) all connects cloud data terminal (8) by wireless signal with client platform (7).A kind of application method of bridge beam slab hinge gap-like state online recognition device, it is characterized in that: successively implementing as follows: 1. installing；2. recording；3. pushing.The present invention is at low cost, and recognition efficiency is high, and label is simple, and real-time is high.
Description
Technical field
The present invention relates to for measuring spaced object or hole spacing or gap field, a kind of specially bridge beam slab hinge
Gap-like state online recognition device and its application method.
Background technique
Pre-stressed bridge beam slab assembling construction is the main stream approach of current bridge construction, in order to increase the integraty of bridge,
It is needed between adjacent beam slab hinged by steel construction.Over time, cracking phenomena can occur for hinged place, threaten bridge
The safety of beam.Implement monitoring therefore, it is necessary to stitch to hinge.Periodic detection is implemented to bridge currently, mostly using to the monitoring of hinge seam
Method, the static deflection of every piece of beam slab is measured by measuring instruments such as total stations, to judge the state on every piece of beam slab both sides.
This method is complicated for operation, and cannot achieve on-line real time monitoring.Additionally branch can be built using the lower section in the middle part of bridge
The method of support, installs displacement meter on the support frame, by the method monitoring hinge seam for measuring the middle dynamic deflection that collapses.This method installation
It is at high cost, and be located on waters by environmental restrictions, such as beam slab, it can not just build support frame.
Summary of the invention
In order to overcome the drawbacks of the prior art, provide it is a kind of it is at low cost, recognition efficiency is high, label is simple, real-time is high
Monitoring device, the invention discloses a kind of bridge beam slab hinge gap-like state online recognition device and its application methods.
The present invention reaches goal of the invention by following technical solution:
A kind of bridge beam slab hinge gap-like state online recognition device, including target and camera, it is characterized in that: further including wireless transmission
Module, power module, client platform and cloud data terminal,
Target has headlamp, and target is fixed at the center of beam slab, computing module built in camera, and camera is solid by bracket
It is scheduled on bridge pier, camera face target, and is located at target at the center of camera viewfinder range, and when beam slab reaches displacement
Target is still in the viewfinder range of camera when maximum；
The computing module of camera connects the signal input part of wireless transport module, the power supply output of power module by signal wire
End is separately connected camera and wireless transport module by conducting wire, and the wireless signal transmitting terminal of wireless transport module and client hold level with both hands
Platform all connects cloud data terminal by wireless signal；
Embedded software built in the computing module of camera is stored with the threshold value of characteristic value difference in the embedded software of camera
δ, δ can implement the setting of δ by embedded software of the remote data management platform to camera to be stored in the meter of camera
It calculates in module.
The bridge beam slab cuts with scissors gap-like state online recognition device, it is characterized in that: the wireless signal of wireless transport module selects
With wifi, 3G, 4G or 5G signal, power module selects solar battery, and client platform selects microcomputer, tablet computer or intelligence
Mobile phone.
The bridge beam slab cuts with scissors gap-like state online recognition device, it is characterized in that: the quantity of target and camera it is equal and
No less than three, each camera distinguishes one target of face.
The application method of the bridge beam slab hinge gap-like state online recognition device, it is characterized in that: as follows successively
Implement:
1. installation: after the both ends of beam slab are respectively erected on bridge pier, the target with headlamp being fixed on to the center of beam slab
Place, the camera of built-in computing module is fixed by the bracket on bridge pier, camera face target, and target is made to be located at camera shooting
At the center of head viewfinder range, and when beam slab reaches displacement maximum in viewfinder range of the target still in camera；
The computing module of camera connects the signal input part of wireless transport module, the power supply output of power module by signal wire
End is separately connected camera and wireless transport module by conducting wire, and the wireless signal transmitting terminal of wireless transport module and client hold level with both hands
Platform all connects cloud data terminal by wireless signal；
The displacement threshold value S of beam slab built in the computing module of cameraMax；
2. record: each camera records the target in the nearest T period corresponding to t moment always and produces since beam slab vibrates
Raw displacement S (t), if there are S (t) > S within a T periodMaxThe case where, then all cameras are all by this T period institute
Displacement data, that is, S (t) of record by wireless transport module is transmitted to cloud data terminal as alert data packet, wherein t ∈ [0,
T]；
3. push: after cloud data terminal receives alert data packet, by FFT frequency-domain analysis, calculating the base of the S (t) of each beam slab
Frequently, and the fundamental frequency distribution map of beam slab is drawn out, further according to fundamental frequency distribution map and wave character (such as displacement maximum value) judgement
Hinge gap-like state between beam slab, if maximum displacement or maximizing fundamental frequency calculated value are more than that (threshold value is usually with hundred by the threshold value δ of characteristic value difference
Dividing the form of ratio indicates), then alarm signal is pushed to client platform.
The application method of the described bridge beam slab hinge gap-like state online recognition device, it is characterized in that: step 3. when, by as follows
It is described successively to judge:
1. camera implements sampling to the displacement of target according to certain frequency (such as 20hz), S is rememberedi(n) work as i-th of target
Preceding displacement sampled value sequence, n indicate n-th of sampling；
2. judging whether Si(n) > S0 then continues the in this way and 3. walks, and such as otherwise returns to the and 1. walks；
3. saving displacement sampled value sequenceIt is to be analyzed,={Si(n--1), Si(n-),……,Si(n+), wherein k
For displacement sampled value sequence to be analyzedNumber (such as k=100)；
4. to eachIt carries out fft analysis and obtains fundamental frequency fi, to eachProgress time-domain analysis acquisition maximum displacement Max ()；
5. judging whether× 100% > δ, or× 100% > δ, wherein it is different to be characterized value difference by δ
Threshold value takes 20%~30%, then continues the in this way and 6. walks, and such as otherwise returns to the and 1. walks；
6. judging that there are cracks between beam slab (1) corresponding to (i-1)-th target and i-th of target.
The present invention not only solves real time problems, and can measure beam slab by Internet of Things and machine vision technique
Dynamic deflection and frequency characteristic, effectively identification hinge seam cracking the case where.
The invention has the following beneficial effects:
1. high-efficiency: the present invention is based on the dynamically recordings of displacement threshold value and fundamental frequency group Distribution Algorithm, effectively identify beam slab hinge seam
Shape；
2. low cost: the present invention is automatic real-time resolving using embedded system and CMOS camera chip, keeps low cost special
Property；
3. label is simple: the present invention uses simple image target and LED illumination, realizes round-the-clock monitoring；
4. high-timeliness: the present invention supports to implement online point to the hinge gap-like state of beam slab by backstage big data platform of internet of things
Analysis and alarm.
Detailed description of the invention
Fig. 1 is scheme of installation of the invention；
Fig. 2 is structural schematic diagram of the invention.
Specific embodiment
The present invention is further illustrated below by way of specific embodiment.
Embodiment 1
A kind of bridge beam slab hinge gap-like state online recognition device, including target 3, camera 4, wireless transport module 5, power module
6, client platform 7 and cloud data terminal 8,
The both ends of beam slab 1 are respectively erected on bridge pier 2；
Target 3 has headlamp, and target 3 is fixed at the center of beam slab 1, and computing module built in camera 4, camera 4 passes through
Bracket is fixed on bridge pier 2,4 face target 3 of camera, and is located at target 3 at the center of 4 viewfinder range of camera, and work as
Target 3 is still in the viewfinder range of camera 4 when beam slab 1 reaches displacement maximum；
The computing module of camera 4 connects the signal input part of wireless transport module 5, the power supply of power module 6 by signal wire
Output end is separately connected camera 4 and wireless transport module 5 by conducting wire, the wireless signal transmitting terminal of wireless transport module 5 and
Client platform 7 all connects cloud data terminal 8 by wireless signal；
Embedded software built in the computing module of camera 4 is stored with the threshold of characteristic value difference in the embedded software of camera 4
Value δ, δ can implement the setting of δ by embedded software of the remote data management platform to camera 4 to be stored in camera 4
Computing module in.
In the present embodiment: the wireless signal of wireless transport module 5 selects wifi, 3G, 4G or 5G signal, and power module 6 selects
With solar battery, client platform 7 selects microcomputer, tablet computer or smart mobile phone.
In the present embodiment: target 3 is equal with the quantity of camera 4 and no less than three, and each camera 4 distinguishes face one
A target 3.
When the present embodiment uses: successively implement as follows:
1. installation: after the both ends of beam slab 1 are respectively erected on bridge pier 2, the target 3 with headlamp being fixed on beam slab 1
At center, the camera 4 of built-in computing module is fixed by the bracket on bridge pier 2,4 face target 3 of camera, and makes target
3 are located at the center of 4 viewfinder range of camera, and the finding a view still in camera 4 of target 3 when beam slab 1 reaches displacement maximum
In range；
The computing module of camera 4 connects the signal input part of wireless transport module 5, the power supply of power module 6 by signal wire
Output end is separately connected camera 4 and wireless transport module 5 by conducting wire, the wireless signal transmitting terminal of wireless transport module 5 and
Client platform 7 all connects cloud data terminal 8 by wireless signal；
The displacement threshold value S of beam slab 1 built in the computing module of camera 4Max；
2. record: each camera 4 record in the nearest T period always in the target 3 of t moment institute face due to the vibration of beam slab 1 and
The displacement S (t) of generation, if there are S (t) > S within a T periodMaxThe case where, then all cameras 4 are all by this T period
The displacement data recorded i.e. S (t) is transmitted to cloud data terminal 8 by wireless transport module 5 as alert data packet, wherein t ∈
[0,T]；
3. push: after cloud data terminal 8 receives alert data packet, by FFT frequency-domain analysis, calculating the fundamental frequency of each S (t), and draw
The fundamental frequency distribution map for producing beam slab 1 judges between beam slab 1 further according to fundamental frequency distribution map and wave character (such as displacement maximum value)
Hinge gap-like state, if maximum displacement or maximizing fundamental frequency calculated value are more than that (threshold value is usually with percentage by the threshold value δ of characteristic value difference
Form indicates), then alarm signal is pushed to client platform 7.
In the present embodiment: step 3. when, as described below successively judge:
1. camera 4 implements sampling to the displacement of target 3 according to certain frequency, the present embodiment sample frequency takes 20hz, remembers Si
(n) the displacement sampled value sequence current for i-th of target 3, n indicate n-th of sampling；
2. judging whether Si(n) > S0 then continues the in this way and 3. walks, and such as otherwise returns to the and 1. walks；
3. saving displacement sampled value sequenceIt is to be analyzed,={Si(n--1), Si(n-),……,Si(n+), wherein k
For displacement sampled value sequence to be analyzedNumber, the present embodiment k takes 100；
4. to eachIt carries out fft analysis and obtains fundamental frequency fi, to eachProgress time-domain analysis acquisition maximum displacement Max ()；
5. judging whether× 100% > δ, or× 100% > δ, wherein it is different to be characterized value difference by δ
Threshold value generally takes 20%~30%, and the present embodiment takes 30%, then continues the in this way and 6. walks, and such as otherwise returns to the and 1. walks；
6. judging that there are cracks between beam slab 1 corresponding to (i-1)-th target 3 and i-th of target 3.
Claims (5)
1. a kind of bridge beam slab cuts with scissors gap-like state online recognition device, including target (3) and camera (4), it is characterized in that: further including
Wireless transport module (5), power module (6), client platform (7) and cloud data terminal (8),
Target (3) has headlamp, and target (3) is fixed at the center of beam slab (1), computing module built in camera (4), camera shooting
Head (4) is fixed on bridge pier (2), camera (4) face target (3), and target (3) is made to be located at camera (4) viewfinder range
At center, and when beam slab (1) reaches displacement maximum in viewfinder range of the target (3) still in camera (4)；
Signal input part of the computing module of camera (4) by signal wire connection wireless transport module (5), power module (6)
Power output end camera (4) and wireless transport module (5) are separately connected by conducting wire, wireless transport module (5) it is wireless
Signal transmitting terminal all connects cloud data terminal (8) by wireless signal with client platform (7)；
Embedded software built in the computing module of camera (4) is stored with characteristic value difference in the embedded software of camera (4)
Threshold value δ.
2. bridge beam slab as described in claim 1 cuts with scissors gap-like state online recognition device, it is characterized in that: wireless transport module (5)
Wireless signal select wifi, 3G, 4G or 5G signal, power module (6) select solar battery, client platform (7) select
Microcomputer, tablet computer or smart mobile phone.
3. bridge beam slab as claimed in claim 2 cuts with scissors gap-like state online recognition device, it is characterized in that: target (3) and camera
(4) quantity is equal and no less than three, each camera (4) one target (3) of face respectively.
4. the application method of the bridge beam slab hinge gap-like state online recognition device as described in any one of claims 1 to 3,
It is characterized in: successively implements as follows:
1. installation: after the both ends of beam slab (1) are respectively erected on bridge pier (2), the target (3) with headlamp being fixed on
At the center of beam slab (1), the camera (4) of built-in computing module is fixed on bridge pier (2), camera (4) face target
(3), and it is located at target (3) at the center of camera (4) viewfinder range, and the target (3) when beam slab (1) reaches displacement maximum
Still in the viewfinder range of camera (4)；
Signal input part of the computing module of camera (4) by signal wire connection wireless transport module (5), power module (6)
Power output end camera (4) and wireless transport module (5) are separately connected by conducting wire, wireless transport module (5) it is wireless
Signal transmitting terminal all connects cloud data terminal (8) by wireless signal with client platform (7)；
The displacement threshold value S of beam slab (1) built in the computing module of camera (4)Max；
2. record: each camera (4) records the target (3) in the nearest T period in t moment institute face due to beam slab (1) always
The displacement S (t) of vibration and generation, if there are S (t) > S within a T periodMaxThe case where, then all cameras (4) all will
The displacement data i.e. S (t) that this T period is recorded is transmitted to cloud data by wireless transport module (5) as alert data packet
It holds (8), wherein [0, T] t ∈；
3. push: after cloud data terminal (8) receives alert data packet, by FFT frequency-domain analysis, the fundamental frequency of each S (t) is calculated, and
The fundamental frequency distribution map for drawing out beam slab (1) judges the hinge gap-like between beam slab (1) further according to fundamental frequency distribution map and wave character
State is pushed to client platform (7) and is alarmed if maximum displacement or maximizing fundamental frequency calculated value are more than the threshold value δ of characteristic value difference
Signal.
5. the application method of bridge beam slab hinge gap-like state online recognition device as claimed in claim 4, it is characterized in that: step is 3.
When, successively judge as described below:
1. camera (4) implements sampling to the displacement of target (3) according to certain frequency, S is rememberediIt (n) is that i-th of target is current
It is displaced sampled value sequence, n indicates n-th of sampling；
2. judging whether Si(n) > S0 then continues the in this way and 3. walks, and such as otherwise returns to the and 1. walks；
3. saving displacement sampled value sequenceIt is to be analyzed,={Si(n--1), Si(n-),……,Si(n+), wherein k
For displacement sampled value sequence to be analyzedNumber；
4. to eachIt carries out fft analysis and obtains fundamental frequency fi, to eachProgress time-domain analysis acquisition maximum displacement Max ()；
5. judging whether× 100% > δ, or× 100% > δ, wherein it is different to be characterized value difference by δ
Threshold value takes 20%~30%, then continues the in this way and 6. walks, and such as otherwise returns to the and 1. walks；
6. judging that there are cracks between beam slab (1) corresponding to (i-1)-th target and i-th of target.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910651836.0A CN110455207B (en) | 2019-07-18 | 2019-07-18 | Online recognition device for hinge joint state of bridge beam slab and use method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910651836.0A CN110455207B (en) | 2019-07-18 | 2019-07-18 | Online recognition device for hinge joint state of bridge beam slab and use method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110455207A true CN110455207A (en) | 2019-11-15 |
| CN110455207B CN110455207B (en) | 2024-04-23 |
Family
ID=68481430
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910651836.0A Active CN110455207B (en) | 2019-07-18 | 2019-07-18 | Online recognition device for hinge joint state of bridge beam slab and use method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110455207B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112945969A (en) * | 2021-01-26 | 2021-06-11 | 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 |
| CN115808324A (en) * | 2023-01-30 | 2023-03-17 | 湖南东数交通科技有限公司 | Lightweight safety management monitoring method and system for small and medium-span bridges |
Citations (12)
| 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 |
| US20080030710A1 (en) * | 2004-07-30 | 2008-02-07 | Kyoto University | Displacement Measuring Method, Displacement Measuring Instrument, Displacement Measuring Target and Civil Structure |
| 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 |
-
2019
- 2019-07-18 CN CN201910651836.0A patent/CN110455207B/en active Active
Patent Citations (12)
| 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 |
| US20080030710A1 (en) * | 2004-07-30 | 2008-02-07 | Kyoto University | Displacement Measuring Method, Displacement Measuring Instrument, Displacement Measuring Target and Civil Structure |
| 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 |
|---|
| 韩亮 等: ""PSD技术在桥梁结构位移量测中的应用"", 《工程质量》, vol. 33, no. 1, pages 50 - 53 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112945969A (en) * | 2021-01-26 | 2021-06-11 | 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 |
| 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 |
| CN115808324A (en) * | 2023-01-30 | 2023-03-17 | 湖南东数交通科技有限公司 | Lightweight safety management monitoring method and system for small and medium-span bridges |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110455207B (en) | 2024-04-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102721373B (en) | A kind of electrification railway contact net icing on-line monitoring system | |
| CN102156180A (en) | System and method for monitoring and forecasting regional visibility | |
| CN108418898A (en) | A kind of wireless monitor station | |
| CN103778476A (en) | Method for monitoring and predicting galloping of a transmission line in real time based on video analysis | |
| CN102638013A (en) | Target image identification transmission line state monitoring system based on visual attention mechanism | |
| CN109522183A (en) | Instrument operating condition monitoring method and system, collector, server and storage medium | |
| CN102353400A (en) | Method and system for monitoring icing condition of overhead power transmission line | |
| CN204964493U (en) | Wireless remote sea water quality of water environment measuring equipment | |
| CN110763270A (en) | Power transmission line tower pole working condition monitoring system based on multiple information acquisition | |
| CN103218904A (en) | Hydrology data acquisition system base on WiFi | |
| CN110455207A (en) | Bridge beam slab cuts with scissors gap-like state online recognition device and its application method | |
| CN202928617U (en) | Transmission line conducting wire icing and galloping on-line monitoring unit | |
| CN105811578B (en) | Transmission line of electricity monitor supervision platform and its Power Supply Monitoring algorithm and image warning algorithm | |
| CN113865644B (en) | Drainage facility operation monitoring system in place | |
| CN204439130U (en) | A kind of transmission line status on-line monitoring system | |
| CN111541188A (en) | Power transmission line detection device and method | |
| CN117639229A (en) | Local integrated intelligent pre-analysis power transmission line monitoring device and system | |
| CN210570519U (en) | Bridge beam slab hinge joint state online recognition device | |
| CN114567862B (en) | Pipe network monitoring terminal system | |
| CN115471128A (en) | Big data-based device for predicting air quality trend | |
| CN213423494U (en) | Household meteorological early warning observation system based on cloud server | |
| CN113965731A (en) | Rainwater drainage port management and control method, device and system | |
| CN212513008U (en) | Posture measuring terminal | |
| CN111537601A (en) | Large-span power transmission line inspection and broken strand detection device and method | |
| CN110827524A (en) | Wireless monitoring system and monitoring method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: No.2, building 31, No.522, Asia Pacific Road, Nanhu District, Jiaxing City, Zhejiang Province Applicant 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 Applicant before: JIAXING TONGHE SENSING TECHNOLOGY Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |