CN108894825A - A kind of tunnel defect intelligent analysis method - Google Patents
A kind of tunnel defect intelligent analysis method Download PDFInfo
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- CN108894825A CN108894825A CN201810933678.3A CN201810933678A CN108894825A CN 108894825 A CN108894825 A CN 108894825A CN 201810933678 A CN201810933678 A CN 201810933678A CN 108894825 A CN108894825 A CN 108894825A
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- tunnel
- analysis method
- intelligent analysis
- information
- tunnel defect
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- 230000007547 defect Effects 0.000 title claims abstract description 39
- 238000004458 analytical method Methods 0.000 title claims abstract description 31
- 239000011521 glass Substances 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 13
- 201000010099 disease Diseases 0.000 claims description 9
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 4
- 230000001133 acceleration Effects 0.000 claims description 3
- 238000009412 basement excavation Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 3
- 239000004568 cement Substances 0.000 claims description 3
- 230000000977 initiatory effect Effects 0.000 abstract 1
- 238000011835 investigation Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000001093 holography Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000010408 sweeping Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000005641 tunneling Effects 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
Landscapes
- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The present invention discloses a kind of tunnel defect intelligent analysis method, the method includes：Step A, distally switches over selection to tunnel, and selection needs to carry out the tunnel of Analysis on cause of fracturing failure of tunnel；Step B, on-site personnel carries out information collection to tunnel using intelligent glasses, and collected information is real-time transmitted to distal end；Step C holds remote multi-party meeting, diagnoses to tunnel defect information real-time perfoming, the remote multi-party conference participants include engineering specialists；Step D, obtains diagnostic result.Tunnel is checked and handled using tunnel defect intelligent analysis method provided by the invention, by initiating specialists meeting, the analysis treatment effeciency of tunnel defect is improved, reduces engineering cost.
Description
Technical field
The present invention relates to Tunnel testing analysis technical field more particularly to a kind of tunnel defect intelligent analysis methods.
Background technique
In recent years, various highways, railway, the bottom and the subway tunnel that China is completed occur lining cutting to some extent and split
The diseases such as seam, deformation and percolating water, meanwhile, it is also required to real-time perfoming monitoring in the tunnel built, and handle disease in time.Tunnel
The presence of disease will affect traffic quality, threatens traffic safety in tunnel, causes safety accident, need science, effective point
Analysis and research method, analysis assessment disease generation are influenced caused by liner structure safety and service performance, are disease management side
Method and countermeasure provide foundation.The premise of prevention and treatment tunnel defect is that the type to tunnel defect, distribution and degree progress are detailed and complete
The investigation in face can provide accurate foundation by the system investigation to disease for the Gernral Check-up in tunnel.
To the disease survey in tunnel mainly using artificial field investigation method, this method needs to investigate in China at present
Personnel investigate the health status in tunnel in tunnel, including to the position at tunnel slot, deformation and percolating water, length
Degree, width and area measure record, and the data of record are counted, sorted out and achieved, finally according to certain mark
Standard evaluates tunnel defect.The method of this manual research often will affect in operation tunnel normal construction process,
Investigation method high consumption and also it is inefficient, during the process of the investigation often with very big risk and also investigate when measurement method and
Data are read there are artificial subjective factor, the reliability and completeness of data are limited.
In consideration of it, designing a kind of rapidly and efficiently and reliably tunnel defect intelligent analysis method, tunnel defect is examined
It surveys and handles in real time, be urgent need currently on the market.
Summary of the invention
The present invention aiming at the problems existing in the prior art, provides a kind of tunnel defect intelligent analysis method, the method
Including：
Step A, distally switches over selection to tunnel, and selection needs to carry out the tunnel of Analysis on cause of fracturing failure of tunnel；
Step B, on-site personnel carry out information collection to tunnel using intelligent glasses, and collected information is real-time
It is transferred to distal end；
Step C holds remote multi-party meeting, diagnoses to tunnel defect information real-time perfoming, the remote multi-party meeting ginseng
Adding personnel includes engineering specialists；
Step D, obtains diagnostic result.
Further, on-site personnel can also carry out information to tunnel using holographic scanning device in the step A
Acquisition, and collected information is real-time transmitted to distal end.
Further, the tunnel information of described pair of acquisition includes tunnel excavation profile information, tunnel tunnel face information, tunnel
Supporting construction information.
Further, further include step E after the step D, after obtaining diagnostic result, distal end and on-site personnel into
Row communication connection, instructs on-site personnel to handle tunnel defect.
Further, the distal end includes server.
Further, the server is communicated by WIFI with the intelligent glasses or the holographic scanning device
Connection.
Further, on-site personnel can also pour compactness test macro, IoT using cement in the step A
Sensor device carries out information collection to tunnel, and collected information is real-time transmitted to distal end.
Further, the intelligent glasses include WIFI module, gyro sensor, acceleration transducer, magnetometer biography
Sensor.
Further, the holographic scanning device includes WIFI module, humidity sensor, luminance sensor, mobile sensor
Device, inclination sensor.
Compared with prior art, tunnel defect intelligent analysis method provided by the invention is using holographic surface sweeping device or intelligence
Glasses carry out effective acquisition to tunnel information, greatly reduce cost of labor, improve efficiency, meanwhile, to the tunnel number of acquisition
It is analyzed according to distal end is uploaded to by technical specialist, efficiently obtains tunnel defect point, and pass through the operation of intelligent glasses remote command
Personnel handle tunnel defect, so that tunnel defect processing is more professional effectively.
Detailed description of the invention
Fig. 1 is tunnel defect intelligent analysis method flow chart of the invention；
Fig. 2 is the schematic diagram that intelligent glasses of the invention, holographic scanning device acquire tunnel information in tunnel；
Fig. 3 is the structural schematic diagram of holographic scanning device of the invention, server and intelligent glasses.
Specific embodiment
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below
Example is not intended to limit the scope of the invention for illustrating the present invention.
As shown in Figure 1, the present invention provides a kind of tunnel defect intelligent analysis method, the method includes：
Step S100, distally switches over selection to tunnel, and selection needs to carry out the tunnel of Analysis on cause of fracturing failure of tunnel；
Step S200, on-site personnel carry out information collection to tunnel using intelligent glasses, and by collected information
It is real-time transmitted to distal end；
Step S300 holds remote multi-party meeting, diagnoses to tunnel defect information real-time perfoming, the remote multi-party meeting
Participant includes engineering specialists；
Step S400, obtains diagnostic result.
Wherein, on-site personnel can also carry out information collection to tunnel using holographic scanning device in the step A,
And collected information is real-time transmitted to distal end.
Wherein, the tunnel information of described pair of acquisition includes tunnel excavation profile information, tunnel tunnel face information, tunnel support
Structural information.
Wherein, further include step E after the step D, after obtaining diagnostic result, distally led to on-site personnel
Letter connection, instructs on-site personnel to handle tunnel defect.
Wherein, the distal end includes server.
Wherein, the server carries out communication link by WIFI and the intelligent glasses or the holographic scanning device
It connects.
Wherein, on-site personnel can also pour compactness test macro, IoT sensing using cement in the step A
Equipment carries out information collection to tunnel, and collected information is real-time transmitted to distal end.
Wherein, the intelligent glasses include WIFI module, gyro sensor, acceleration transducer, magnetometer sensor.
Wherein, the holographic scanning device includes WIFI module, humidity sensor, luminance sensor, movable sensor, inclines
Tilt sensor.
Embodiment
With reference to Fig. 1,2,3, on-site personnel wearing intelligent glasses first are moved in tunnel, are regarded to tunnel defect
Frequency is recorded, and video is real-time transmitted to remote server by wireless network.It can also be using holographic scanning device along tunnel
Extending direction movement takes pictures to tunnel during exercise by the CCD industrial camera being arranged in holography scanner, and will
The photo taken is transmitted to through wireless network real-time Transmission into server.Holography scanner can also be taking human as control specific
Position stop, take pictures to specific position, then by photo real-time Transmission into server.Server can initiate
Specialists meeting convenes the tunnel video information or the analysis of tunnel photo real-time perfoming of technical specialist back to acquisition, obtains tunnel
Road Disease Analysis result.Then Analysis on cause of fracturing failure of tunnel result is transmitted in the intelligent glasses of on-site personnel again, guidance is existing
Field operating personnel handles tunnel defect.
Tunnel defect intelligent analysis method provided by the invention is using holographic surface sweeping device or intelligent glasses to tunnel information
Carry out effective acquisition, greatly reduce cost of labor, improve efficiency, meanwhile, to the tunneling data of acquisition be uploaded to distal end by
Technical specialist analyzes, and efficiently obtains tunnel defect point, and by intelligent glasses remote command operating personnel to tunnel defect
It is handled, so that tunnel defect processing is more professional effectively.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to restrict the invention, it is all in spirit of the invention and
In principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of tunnel defect intelligent analysis method, which is characterized in that the method includes：
Step A, distally switches over selection to tunnel, and selection needs to carry out the tunnel of Analysis on cause of fracturing failure of tunnel；
Step B, on-site personnel carry out information collection to tunnel using intelligent glasses, and by collected information real-time Transmission
To distal end；
Step C holds remote multi-party meeting, diagnoses to tunnel defect information real-time perfoming, the remote multi-party meeting participant
Member includes engineering specialists；
Step D, obtains diagnostic result.
2. tunnel defect intelligent analysis method according to claim 1, which is characterized in that field operation in the step A
Personnel can also carry out information collection to tunnel using holographic scanning device, and collected information is real-time transmitted to distal end.
3. tunnel defect intelligent analysis method according to claim 1 or 2, which is characterized in that the tunnel of described pair of acquisition
Information includes tunnel excavation profile information, tunnel tunnel face information, tunnel support structure information.
4. tunnel defect intelligent analysis method according to claim 1, which is characterized in that further include after the step D
Step E after obtaining diagnostic result, is distally communicatively coupled with on-site personnel, instructs on-site personnel to tunnel disease
Evil is handled.
5. tunnel defect intelligent analysis method according to claim 1 or 2, which is characterized in that the distal end includes service
Device.
6. tunnel defect intelligent analysis method according to claim 5, which is characterized in that the server by WIFI with
The intelligent glasses or the holographic scanning device are communicatively coupled.
7. tunnel defect intelligent analysis method according to claim 1, which is characterized in that field operation in the step A
Personnel can also be poured compactness test macro, IoT sensor device using cement and carry out information collection to tunnel, and will be collected
Information be real-time transmitted to distal end.
8. tunnel defect intelligent analysis method according to claim 1, which is characterized in that the intelligent glasses include WIFI
Module, gyro sensor, acceleration transducer, magnetometer sensor.
9. tunnel defect intelligent analysis method according to claim 2, which is characterized in that the holographic scanning device includes
WIFI module, humidity sensor, luminance sensor, movable sensor, inclination sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810933678.3A CN108894825A (en) | 2018-08-16 | 2018-08-16 | A kind of tunnel defect intelligent analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810933678.3A CN108894825A (en) | 2018-08-16 | 2018-08-16 | A kind of tunnel defect intelligent analysis method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108894825A true CN108894825A (en) | 2018-11-27 |
Family
ID=64354951
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810933678.3A Pending CN108894825A (en) | 2018-08-16 | 2018-08-16 | A kind of tunnel defect intelligent analysis method |
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| Country | Link |
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| CN (1) | CN108894825A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110532406A (en) * | 2019-08-08 | 2019-12-03 | 浙江大学城市学院 | A kind of cloud platform system counting Shield-bored tunnels defect information |
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| CN103472788A (en) * | 2013-09-06 | 2013-12-25 | 上海大学 | Operating tunnel maintenance health monitoring management method based on BIM |
| US20140098008A1 (en) * | 2012-10-04 | 2014-04-10 | Ford Global Technologies, Llc | Method and apparatus for vehicle enabled visual augmentation |
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| CN106997588A (en) * | 2017-03-24 | 2017-08-01 | 东北林业大学 | Highway pavement based on Computer Image Processing, tunnel defect diagnostic system |
| CN107146041A (en) * | 2017-07-02 | 2017-09-08 | 四川藏区高速公路有限责任公司 | A kind of road network based on 3DGIS+BIM runs long-range disease screening interactive system and method |
| CN207215039U (en) * | 2017-07-03 | 2018-04-10 | 中南大学 | A kind of double track scanning system of tunnel surrounding and constructional aspect |
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2018
- 2018-08-16 CN CN201810933678.3A patent/CN108894825A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2769788A1 (en) * | 2011-03-23 | 2012-09-23 | Trusted Positioning Inc. | Methods of attitude and misalignment estimation for constraint free portable navigation |
| CN102590215A (en) * | 2011-12-27 | 2012-07-18 | 郝书亮 | Portable multifunctional tunnel defect information collector |
| US20140098008A1 (en) * | 2012-10-04 | 2014-04-10 | Ford Global Technologies, Llc | Method and apparatus for vehicle enabled visual augmentation |
| CN103472788A (en) * | 2013-09-06 | 2013-12-25 | 上海大学 | Operating tunnel maintenance health monitoring management method based on BIM |
| CN104808174A (en) * | 2014-11-27 | 2015-07-29 | 卫民 | Wireless positioning system of nuclear power station based on Kalman filter and dead reckoning |
| CN106768736A (en) * | 2016-11-24 | 2017-05-31 | 中国科学技术大学 | A kind of subway tunnel monitoring of leakage and early warning system and its method |
| CN106767515A (en) * | 2017-01-09 | 2017-05-31 | 重庆大学 | A kind of tunnel defect quick diagnosis prevention and controls |
| CN106997588A (en) * | 2017-03-24 | 2017-08-01 | 东北林业大学 | Highway pavement based on Computer Image Processing, tunnel defect diagnostic system |
| CN107146041A (en) * | 2017-07-02 | 2017-09-08 | 四川藏区高速公路有限责任公司 | A kind of road network based on 3DGIS+BIM runs long-range disease screening interactive system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110532406A (en) * | 2019-08-08 | 2019-12-03 | 浙江大学城市学院 | A kind of cloud platform system counting Shield-bored tunnels defect information |
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Application publication date: 20181127 |
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