CN109374644B - Tunnel lining defect intelligent detection simulation experiment device based on image recognition - Google Patents
Tunnel lining defect intelligent detection simulation experiment device based on image recognition Download PDFInfo
- Publication number
- CN109374644B CN109374644B CN201811330372.5A CN201811330372A CN109374644B CN 109374644 B CN109374644 B CN 109374644B CN 201811330372 A CN201811330372 A CN 201811330372A CN 109374644 B CN109374644 B CN 109374644B
- Authority
- CN
- China
- Prior art keywords
- carrying tray
- circulating
- wall
- camera
- tunnel lining
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 32
- 238000004088 simulation Methods 0.000 title claims abstract description 14
- 230000007547 defect Effects 0.000 title abstract description 8
- 201000010099 disease Diseases 0.000 claims abstract description 25
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 25
- 239000004744 fabric Substances 0.000 claims abstract description 18
- 229910000831 Steel Inorganic materials 0.000 claims description 14
- 239000010959 steel Substances 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 10
- 230000005540 biological transmission Effects 0.000 claims description 9
- 238000012360 testing method Methods 0.000 abstract description 11
- 230000033001 locomotion Effects 0.000 abstract description 10
- 238000002474 experimental method Methods 0.000 description 9
- 238000005259 measurement Methods 0.000 description 9
- 238000011160 research Methods 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 6
- 239000000463 material Substances 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000005336 cracking Methods 0.000 description 2
- 238000006073 displacement reaction Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000000691 measurement method Methods 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 239000002023 wood Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000009417 prefabrication Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
Landscapes
- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Lining And Supports For Tunnels (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention discloses an intelligent tunnel lining defect detection simulation experiment device based on image recognition. Each carrying tray of the circulating carrying tray is arranged in a sliding groove of a sliding rail of the circulating carrying tray. The circulating information wall is sequentially fixed on the inner ring edge of each carrying tray. The driver plate is driven by a motor, and each carrying tray of the gear-shifting fluctuation circulation type carrying tray of the driver plate circularly slides on the sliding groove and simultaneously drives the circulation information wall to synchronously move. The background cloth is supported by a background cloth support and vertically hung in the center of the oval track to form a camera background curtain wall. The camera shooting equipment is arranged outside the circulating carrying tray slide rail, and the lens height is matched with the circulating information wall. According to the invention, the relative motion relationship is utilized, pictures which need to be obtained by the continuous movement of the camera along the tunnel in the actual engineering are converted into fixed pictures, and the test block or paper tape with diseases continuously moves. The field space required for creating a continuous relative movement of the camera and the observed object is greatly reduced.
Description
Technical Field
The patent relates to an information intelligent detection experimental device for tunnel lining diseases, in particular to an intelligent detection simulation experimental device for tunnel lining diseases based on image recognition, which is used for developing, improving and effect testing a machine vision detection system for tunnel lining diseases.
Background
In recent years, the construction and research of tunnel engineering such as roads, railways, urban rail transit and the like in China have been rapidly developed, and the development and application of an informatization, scientific and convenient maintenance and detection system of tunnels have been gradually emphasized for many years.
Common tunnel defects include the following: water leakage of the tunnel, corrosion of the lining, cracking damage of the lining, frost damage of the tunnel, damage of the tunnel portal, cracking damage of the whole ballast bed, damage of accessory structures and the like. According to a plurality of tunnel disease experiences, lining structure breakage and water leakage are main factors influencing tunnel safety (the Chinese highway journal of 2015 5 month, 5 th, 28 th volume, the research review of Chinese tunnel engineering 2015).
The digital photography-based measuring method can be divided into two categories of deformation measurement and feature identification. The digital photography deformation measurement mainly takes displacement observation as a target, displacement is calculated according to the coordinate change of a target image measuring point, then strain calculation is carried out, and the deformation characteristic of the target is analyzed on the basis; the digital photographic feature recognition mainly aims at separating feature objects, and is to separate features interested by research or technical personnel from images, such as crack image detection of a circuit board, automatic identification of a license plate number in a road traffic system, structural composition of rock-soil materials, identification of cracks of concrete materials and the like (the digital photographic measuring method and application of rock-soil deformation, the book of Li Yuan province).
The items of tunnel detection generally include tunnel convergence value, vault subsidence value, surface subsidence value, and other diseases such as: and (5) detecting lining cracks and water leakage conditions. Wherein, the deformation detection (convergence value and settlement value) and the disease detection are the more important of the detection, the former belongs to the category of 'deformation measurement', and the latter belongs to the category of 'feature recognition'. The digital photogrammetry method related by the invention is 'feature recognition'.
The traditional tunnel engineering detection means mainly include contact measurement and total station non-contact measurement. The convergence value is mainly measured by using a convergence meter, and the settlement value is measured by using a level gauge, a steel ruler and the like. The total station non-contact measurement method has certain reliability as a mature technology, but has the following defects: the measurement precision is not as good as that of the traditional measurement means, and the accuracy of the data is also influenced by the operation of operators, so that manual errors exist, the errors of the instruments and errors caused by other influences of the field environment.
In recent years, non-contact measurement methods based on digital image measurement technology have been developed rapidly. For example, the development and application of the informatization and intelligent detection technology of tunnel lining diseases at home and abroad and the advantages and disadvantages of various technologies are comprehensively introduced and compared in the current situation and analysis and comparison of tunnel disease rapid detection technology in the 3 rd stage of 2016 (road and vehicle transport).
At present, intelligent information detection of various tunnel lining diseases is generally completed by an intelligent system based on image recognition, and comprises the following steps: the device comprises an image acquisition device, a fixing and moving device of the image acquisition device, an information transfer device and a rear-end information collection and processing system. The system has a rudiment scheme applied to engineering, and scientific research institutions such as universities and enterprises optimize and improve the system. For example, in volume 45 of 2018, volume 3 of a shield tunnel lining disease identification method based on deep learning, a rapid mobile tunnel scanning detection system is described, which can move in a tunnel, acquire an image of a lining surface and transmit the image to a rear computer for processing. A novel shield tunnel water leakage disease image recognition algorithm based on a full convolution network is provided in the sentence of the book 36, volume 12, 12 th, of the report on rock mechanics and engineering, 2017. The article entitled "research on model test of influence factors of definition of image of tunnel lining", which is added in volume 36 of journal of rock mechanics and engineering, 2017, describes a simple simulation experiment device for acquiring images of tunnel lining surfaces based on computer vision in a laboratory. The device pastes the information paper printed with the characteristic image on the bent thin wood board and fixes the bent thin wood board on an experimental wall, places equipment such as a camera, a light source, an industrial computer and the like on a movable trolley, and utilizes the movement of the trolley to construct the relative movement of the camera and the observed image.
The development and application of the technology in universities and enterprises are verified by verifying the effectiveness of the manufactured system through field actual application or manufacturing a physical model. Although the two modes are closest to the practical application environment, scientific research personnel are required to transport all manufactured equipment to a tunnel engineering site, manpower and material resources are consumed, time is wasted, the tunnel site environment is complex and severe, environment variables are difficult to control one by one, and specific reasons are difficult to judge if an experimental result does not reach an expected target, so that the laboratory research device for the tunnel disease image recognition system is provided. The method aims to create an experimental environment similar to the field environmental condition for researchers in a laboratory, and facilitates the research of the researchers in developing, improving and researching the digital image measuring system in the laboratory.
Disclosure of Invention
Aiming at the problems, the invention aims to overcome the defects in the prior art and provide an intelligent tunnel lining disease detection simulation experiment device based on image recognition, which is equipment for facilitating scheme research and optimized improvement of a tunnel disease digital photographic detection system in laboratories of colleges and universities and enterprises.
To achieve this, the present invention needs to simulate the environment of the detection system working in the tunnel field to the maximum extent in a laboratory.
In the existing "tunnel disease intelligent detection system based on image recognition", generally, an image acquisition device and other observation instruments are placed on a truck or other movable carrier, the movable carrier is driven along a tunnel inside the tunnel, data information such as tunnel lining images is collected, the acquired image information is transmitted to the rear through an information transmission device, information calculation and analysis are performed through professional software, and finally evaluation of the tunnel lining safety degree is obtained. For example, the invention patent "a tunnel construction informatization dynamic detection system and a detection method thereof" (grant publication number: CN 102587986B) describes an implementation method of a tunnel detection system.
In order to simulate the effect of relative movement of a camera and a tunnel lining in actual observation in a limited space of a laboratory, the invention provides that a photographic device is set to be fixed, a special physical model containing information similar to tunnel lining diseases or a tunnel texture information paper tape (a tunnel lining continuous photo group) shot and printed artificially is fixed on the special device and rotates to replace the tunnel lining fixing of an actual detection environment on site, and the photographic device moves.
The invention relates to an image recognition-based tunnel lining defect intelligent detection simulation experiment device which comprises a support, a circulating carrying tray sliding rail, a circulating carrying tray, a circulating information wall, background cloth and camera equipment. The method is characterized in that:
the circulating type carrying tray sliding rail is an oval rail, is supported by the support and is horizontally placed. The circulating type carrying tray sliding rail is provided with a sliding groove, the circulating type carrying tray is formed by continuously connecting a plurality of carrying trays to form a closed ring, the bottom of each carrying tray is provided with a pulley, and each pulley is arranged in the sliding groove of the circulating type carrying tray sliding rail. The circulation information wall is fixed on the inner ring edge of each carrying tray in sequence, and the wall surface of the circulation information wall is perpendicular to the disc surface of the carrying tray (small-angle deviation can be allowed). The support is provided with a drive plate, the drive plate is driven by a motor, and each carrying tray of the tooth-shifting fluctuation circulating carrying tray of the drive plate circularly slides on the sliding groove and drives the circulating information wall to synchronously move. The background cloth is supported by a background cloth support and vertically hung in the center of the oval track to form a camera background curtain wall. The camera shooting equipment is arranged outside the circulating carrying tray slide rail, and the lens height is matched with the circulating information wall.
The carrying tray is used for placing test blocks which are prefabricated in advance or material objects which are obtained on site. The circulation information wall is used for pasting continuously shot tunnel wall pictures.
The connection mode of the circulation information wall and each carrying tray is a hinged mode with a lock catch, and the angle between the circulation information wall and the digital camera can be changed by changing the included angle between the circulation information wall and the horizontal direction during the experiment.
The circulating information wall is formed by continuously splicing a plurality of rectangular wallboards, an elastic thin steel sheet is arranged on the surface of each wallboard, the elastic thin steel sheet is fixed at the horizontal center line of each wallboard, a plurality of screw holes are formed in the upper horizontal line and the lower horizontal line of each wallboard, and a screw rod is arranged in each screw hole. The screw rod can jack up the edge of the elastic thin steel sheet on the surface of the circular information wall to a proper height by screwing the screw rod, so that a certain curvature effect is created and used for simulating the side wall or the vault of the curved wall type tunnel. And the screw is screwed out, so that the thin steel sheet on the surface of the circulating information wall is in a flat state, and the screw is used for simulating the side wall of the straight wall type tunnel.
The background is arranged in whole equipment central authorities for build the pure color background of the environment of shooing, avoid the interference of background pattern to the data of making a video recording, generally set up to pure black or pure white. The background cloth is hung by a bracket, and the upper part of the bracket is provided with a sleeve part, so that the background cloth can horizontally rotate for a certain angle and is locked and fixed at a proper position.
The camera shooting device selects a digital camera, is provided with a data transmission device and is used for transmitting pictures shot by the camera shooting device to a computer, is compatible with the camera and can be in wired or wireless transmission.
The motor is a precise motor which can precisely control the rotating speed and has small vibration.
The computer is used for storing and processing pictures taken by the camera device to obtain needed data at a later stage.
Compared with the prior art and the device, the invention has the following beneficial effects:
the invention fills the blank of the experimental device for optimizing and improving the digital photographic measurement technology and verifying the effect in a laboratory (indoor) in the prior art. The consumption of manpower, material resources and financial resources caused by carrying the instrument to the site for optimization, improvement and effect verification is saved.
The invention utilizes the relative relation of motion, converts the pictures which need to be obtained by the continuous movement of the camera along the tunnel in the actual engineering into the fixed pictures, and continuously moves the test blocks or paper tapes (tunnel lining continuous picture groups) with diseases. The field space required for creating a continuous relative movement of the camera and the observed object is greatly reduced.
Through the special structural design of the circulation information wall, the simulation of the curved wall type tunnel and the straight wall type tunnel can be distinguished and finished.
Drawings
FIG. 1 is a schematic three-dimensional structure of the device of the present invention.
Fig. 2 is a perspective view of the circulation type carrying tray and the circulation information wall of the device of the present invention.
Fig. 3 is a top view of fig. 2.
Fig. 4 is a perspective view of the circulation-type carrying tray (showing the roller structure).
Fig. 5 is a perspective view of the circulating carrying tray slide rail.
Fig. 6 is a schematic perspective view of a cross section of a slide rail of the circulating carrying tray.
Fig. 7 is a perspective view of the stand.
Fig. 8 is a schematic view of the working state of a single rectangular wall plate of the circulation information wall for jacking up the edge of the elastic thin steel sheet in the screwing state of the short threaded rod.
Fig. 9 is a schematic rear view of the distribution of short threaded rods on a single rectangular wall panel of the circular information wall.
Fig. 10 is a schematic view of the working state of the single rectangular wall plate of the circulation information wall in which the elastic thin steel sheet is in a flat state when the short threaded rod is screwed out.
Detailed Description
The following detailed description of the invention is given in conjunction with the accompanying drawings and specific examples, it being understood that these examples are intended to illustrate and not to limit the scope of the invention, which, after reading the present disclosure, will be defined by the appended claims.
Example (b): as shown in fig. 1 and 2, the tunnel lining defect intelligent detection simulation experiment device based on image recognition provided by the invention comprises a support 1, a circulating carrying tray sliding rail 2, a circulating carrying tray 3, a circulating information wall 4, background cloth 5 and a camera device 6.
As shown in fig. 5 and 6, the circular carrier tray slide rail 2 is an elliptical rail, supported by the support, and horizontally placed. The circulating type carrying tray sliding rail is provided with a sliding groove, the circulating type carrying tray is formed by continuously connecting a plurality of carrying trays 31 to form a closed ring, and pulleys of the carrying trays 31 are arranged in the sliding grooves 21 of the circulating type carrying tray sliding rail. The circulation information wall 4 is sequentially fixed on the inner ring edge 32 of each carrying tray 31, and the wall surface of the circulation information wall is perpendicular to the disc surface of the carrying tray (small-angle deviation can be allowed). The support is provided with a drive plate 7 which is driven by a motor 8, and each carrying tray 31 of the fluctuating circulating carrying tray of the drive plate 9 slides on the sliding chute circularly and drives the circulating information wall to move synchronously. The background cloth 5 is supported by a background cloth bracket 51 and vertically hung in the center of the oval track to form a camera background curtain wall. The camera device 6 is arranged outside the circulating carrying tray slide rail 2, and the lens height is matched with the circulating information wall.
The connection mode of the circulation information wall 4 and each carrying tray 31 is a hinged mode with a lock catch, and the angle between the circulation information wall and the digital camera can be changed by changing the included angle between the circulation information wall and the horizontal direction during the experiment. The circular information wall 4 is formed by continuously splicing a plurality of rectangular wall panels 41. As shown in fig. 8 and 9, each wall plate 41 is provided with an elastic thin steel sheet 42 on the surface, the elastic thin steel sheet is fixed at the horizontal center line of the wall plate, a plurality of screw holes 43 are arranged on the upper horizontal line and the lower horizontal line of the wall plate, and each screw hole is provided with a screw 44. The screw rod can jack up the edge of the elastic thin steel sheet on the surface of the circular information wall to a proper height by screwing the screw rod, so that a certain curvature effect is created and used for simulating the side wall or the vault of the curved wall type tunnel. And the screw is screwed out, so that the thin steel sheet on the surface of the circulating information wall is in a flat state, and the screw is used for simulating the side wall of the straight wall type tunnel.
According to the actual curvature condition of the tunnel lining to be simulated, the adjusting screw rod adjusts the thin steel sheet on the surface of the circular information wall to the required curvature (or flat state) (see fig. 8 and 10).
The background is arranged in the center of the whole equipment and is used for creating a pure-color background of a photographing environment and avoiding the interference of background patterns on photographing data. The background cloth is hung by a bracket, and the upper part of the bracket is provided with a sleeve part, so that the background cloth can horizontally rotate for a certain angle and is locked and fixed at a proper position.
The camera shooting device selects a digital camera, is provided with a data transmission device and is used for transmitting pictures shot by the camera shooting device to a computer, is compatible with the camera and can be in wired or wireless transmission. The motor is a precise motor which can precisely control the rotating speed and has small vibration. The computer is used for storing and processing pictures taken by the camera device to obtain needed data at a later stage.
the prefabrication of the experimental test block is carried out in advance. Such as concrete materials, and pre-manufacturing characteristic diseases, such as: cracks, water leakage, chipping, and the like.
And placing the test blocks on the carrying tray in sequence and fixing firmly.
And erecting external digital photographic equipment, connecting a data transmission line and debugging a computer.
And adjusting the angle of the background cloth to a proper position and locking. And positioning the accurate position of the digital camera, trying to take a picture (record a video), and verifying whether the whole process from the digital camera to the computer is smooth or not.
And debugging the motor to a working state, starting the motor to a lower speed, and continuously photographing (recording) to carry out smooth test of the whole system flow in a motion state.
After the whole system is tested without problems, the rotating speed of the motor is adjusted to be a proper speed, so that the translational speed of the shot surface test block is consistent with the running speed of a carrier carrying digital photographic equipment in practical engineering in a tunnel.
And starting shooting (video recording) at a proper time, acquiring image data, and processing to obtain an analysis result.
the method is similar to the step of 'experiment using concrete test block and other objects as samples' in the experiment 1.
Different, a paper tape with characteristic diseases or a tunnel lining continuous photo group is manufactured in advance and fixed on a circulation information wall, the circulation information wall is locked by adjusting the angle, the screwing depth of a short threaded rod is adjusted according to the curvature of the simulated tunnel lining, and the experiment can be carried out according to the same steps.
Claims (5)
1. A tunnel lining disease intelligent detection simulation experiment device based on image recognition comprises a support, a circulating carrying tray sliding rail, a circulating carrying tray, a circulating information wall, background cloth and camera equipment; the method is characterized in that:
the circulating carrying tray sliding rail is an oval rail, is supported by the support and is horizontally placed; the circulating carrying tray sliding rail is provided with a sliding groove, the circulating carrying tray is formed by continuously connecting a plurality of carrying trays to form a closed ring, and each carrying tray is arranged in the sliding groove of the circulating carrying tray sliding rail; the circular information wall is sequentially fixed on the inner ring edge of each carrying tray, and the wall surface of the circular information wall is perpendicular to the disc surface of each carrying tray; the support is provided with a drive plate, the drive plate is driven by a motor, and each carrying tray of the drive plate drives the fluctuating circulating carrying trays to circularly slide on the sliding chute and simultaneously drives the circulating information wall to synchronously move; the background cloth is supported by a background cloth bracket and vertically hung in the center of the oval track to form a camera background curtain wall; the camera shooting equipment is arranged outside the circulating carrying tray slide rail, and the lens height is matched with the circulating information wall.
2. The intelligent tunnel lining disease detection simulation experiment device based on image recognition as claimed in claim 1, wherein: the connection mode of the circulation information wall and each carrying tray is a hinged mode with a lock catch.
3. The intelligent tunnel lining disease detection simulation experiment device based on image recognition as claimed in claim 1, wherein: the circulation information wall is formed by continuously splicing a plurality of rectangular wallboards, an elastic thin steel sheet is arranged on the surface of each wallboard, the elastic thin steel sheet is fixed at the horizontal center line of each wallboard, a plurality of screw holes are formed in the upper horizontal line and the lower horizontal line of each wallboard, and a thread knob is arranged in each screw hole.
4. The intelligent tunnel lining disease detection simulation experiment device based on image recognition as claimed in claim 1, wherein: the background cloth is suspended by a support, and the upper part of the support is provided with a sleeve part, so that the background cloth can horizontally rotate for a certain angle and is locked and fixed at a set position.
5. The intelligent tunnel lining disease detection simulation experiment device based on image recognition as claimed in claim 1, wherein: the camera shooting equipment selects a digital camera, is provided with data transmission equipment and is used for transmitting pictures shot by the camera shooting equipment to a computer, is compatible with the camera and adopts wired transmission or wireless transmission.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811330372.5A CN109374644B (en) | 2018-11-09 | 2018-11-09 | Tunnel lining defect intelligent detection simulation experiment device based on image recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811330372.5A CN109374644B (en) | 2018-11-09 | 2018-11-09 | Tunnel lining defect intelligent detection simulation experiment device based on image recognition |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109374644A CN109374644A (en) | 2019-02-22 |
| CN109374644B true CN109374644B (en) | 2021-08-03 |
Family
ID=65384137
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811330372.5A Active CN109374644B (en) | 2018-11-09 | 2018-11-09 | Tunnel lining defect intelligent detection simulation experiment device based on image recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109374644B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111965726B (en) * | 2020-08-12 | 2023-09-08 | 浙江科技学院 | Inspection system and method for field access device for nuclear power safety |
| CN112325788B (en) * | 2020-11-06 | 2021-10-26 | 中国矿业大学 | Tunnel inner wall deformation characteristic in-situ measurement device and method based on digital photography |
| CN112862790B (en) * | 2021-02-18 | 2023-08-22 | 中国矿业大学(北京) | Subway tunnel crack positioning device and method based on linear array camera |
| CN113758945B (en) * | 2021-11-09 | 2022-02-08 | 山东鱼台东源矿用设备有限责任公司 | Auxiliary diagnosis device for abrasion degree of steel wire rope |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4412700A (en) * | 1980-04-21 | 1983-11-01 | Voest-Alpine Aktiengesellschaft | System for monitoring the movement of a cutting tool of a tunnel-driving machine relative to a desired profile |
| US5453970A (en) * | 1993-07-13 | 1995-09-26 | Rust; Thomas F. | Molecular memory medium and molecular memory disk drive for storing information using a tunnelling probe |
| EP0779976A1 (en) * | 1995-06-12 | 1997-06-25 | Measurex Corporation | Color sensor simulating standard source illuminant |
| CN102037517A (en) * | 2008-05-17 | 2011-04-27 | 于利奇研究中心有限公司 | Memory with tunnel barrier and method for reading and writing information from and to this memory |
| CN102346013A (en) * | 2010-07-29 | 2012-02-08 | 同济大学 | Tunnel lining crack width measuring method and device |
| CN103424537A (en) * | 2013-08-21 | 2013-12-04 | 国家电网公司 | Method for detecting vibration features of cylindrical tunnels in saturated viscoelastic soil |
| CN104749187A (en) * | 2015-03-25 | 2015-07-01 | 武汉武大卓越科技有限责任公司 | Tunnel lining disease detection device based on infrared temperature field and gray level image |
| CN105788426A (en) * | 2016-04-18 | 2016-07-20 | 河海大学 | Simulation test device for impact of avalanche on alpine barrier lake, and application method thereof |
| CN107014352A (en) * | 2017-05-02 | 2017-08-04 | 中铁第四勘察设计院集团有限公司 | A kind of railcar and detection method for railway tunnel tunneling boring comprehensive detection |
| CN206748721U (en) * | 2017-04-24 | 2017-12-15 | 西南交通大学 | A kind of tunnel model test shield duct piece prepares mould |
| CN207437080U (en) * | 2017-08-04 | 2018-06-01 | 天津大学 | A kind of destruction initiating device for simulating shield tunnel local failure accident |
| CN108254205A (en) * | 2017-12-15 | 2018-07-06 | 山东大学 | Tunnel danger stone collapses indoor large comprehensive simulation test platform and method |
| CN108267096A (en) * | 2017-12-25 | 2018-07-10 | 中铁科学技术开发公司 | Railway tunnel lining surface disease rapid detection system |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6183398B1 (en) * | 1998-07-23 | 2001-02-06 | Unisen, Inc. | Exercise trainer with a stride multiplier |
| US6450644B1 (en) * | 2000-01-12 | 2002-09-17 | Maxivision Cinema Technology | System and method for registering motion picture film |
| US20100300006A1 (en) * | 2009-05-29 | 2010-12-02 | Cecil Magpuri | Virtual reality dome theater |
| CN102587986B (en) * | 2012-03-12 | 2013-12-25 | 西安建筑科技大学 | Tunnel construction informatization dynamic monitoring system and monitoring method thereof |
| CN104176441A (en) * | 2013-05-28 | 2014-12-03 | 北京中电科电子装备有限公司 | Workpiece transmission device with defect detection function |
| US9510376B2 (en) * | 2013-09-25 | 2016-11-29 | At&T Intellectual Property I, L.P. | Tunneling packet exchange in long term evolution protocol based networks |
| JP6338847B2 (en) * | 2013-12-02 | 2018-06-06 | 池上通信機株式会社 | Surface inspection method and surface inspection apparatus |
| CN104019742A (en) * | 2014-06-05 | 2014-09-03 | 武汉武大卓越科技有限责任公司 | Method for rapidly detecting cracks of tunnel lining |
| CN104807960B (en) * | 2015-04-15 | 2017-01-25 | 中国矿业大学 | Visual testing device and method for simulating water gushing in tunnel |
| CN105510350B (en) * | 2016-01-28 | 2018-09-18 | 北京工业大学 | Tunnel surface image acquiring device and tunnel surface detection device |
| US10864424B2 (en) * | 2016-07-10 | 2020-12-15 | Yaakov Amsalem | Apparatus, system and method for training soccer players |
| CN107218972B (en) * | 2017-06-01 | 2023-12-26 | 深圳市凯中精密技术股份有限公司 | Multifunctional appearance detection device |
| CN107388988A (en) * | 2017-07-27 | 2017-11-24 | 成都畅达通检测技术股份有限公司 | Tunnel oval-shaped degree determination method and system |
| CN108596869B (en) * | 2018-01-08 | 2020-06-16 | 东北大学 | Rapid detection method for tunnel lining cracks |
| CN108230813A (en) * | 2018-03-23 | 2018-06-29 | 西南交通大学 | The variable simulation experiment platform system of multilane highway tunnel lateral direction fire location |
| CN108647901A (en) * | 2018-05-18 | 2018-10-12 | 四川隧唐科技股份有限公司 | Disease preparation method and device |
| CN108593892A (en) * | 2018-06-22 | 2018-09-28 | 西南交通大学 | Tunnel-liner model, the experimental rig and experimental method for simulating tunnel longitudinal effect |
-
2018
- 2018-11-09 CN CN201811330372.5A patent/CN109374644B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4412700A (en) * | 1980-04-21 | 1983-11-01 | Voest-Alpine Aktiengesellschaft | System for monitoring the movement of a cutting tool of a tunnel-driving machine relative to a desired profile |
| US5453970A (en) * | 1993-07-13 | 1995-09-26 | Rust; Thomas F. | Molecular memory medium and molecular memory disk drive for storing information using a tunnelling probe |
| EP0779976A1 (en) * | 1995-06-12 | 1997-06-25 | Measurex Corporation | Color sensor simulating standard source illuminant |
| CN102037517A (en) * | 2008-05-17 | 2011-04-27 | 于利奇研究中心有限公司 | Memory with tunnel barrier and method for reading and writing information from and to this memory |
| CN102346013A (en) * | 2010-07-29 | 2012-02-08 | 同济大学 | Tunnel lining crack width measuring method and device |
| CN103424537A (en) * | 2013-08-21 | 2013-12-04 | 国家电网公司 | Method for detecting vibration features of cylindrical tunnels in saturated viscoelastic soil |
| CN104749187A (en) * | 2015-03-25 | 2015-07-01 | 武汉武大卓越科技有限责任公司 | Tunnel lining disease detection device based on infrared temperature field and gray level image |
| CN105788426A (en) * | 2016-04-18 | 2016-07-20 | 河海大学 | Simulation test device for impact of avalanche on alpine barrier lake, and application method thereof |
| CN206748721U (en) * | 2017-04-24 | 2017-12-15 | 西南交通大学 | A kind of tunnel model test shield duct piece prepares mould |
| CN107014352A (en) * | 2017-05-02 | 2017-08-04 | 中铁第四勘察设计院集团有限公司 | A kind of railcar and detection method for railway tunnel tunneling boring comprehensive detection |
| CN207437080U (en) * | 2017-08-04 | 2018-06-01 | 天津大学 | A kind of destruction initiating device for simulating shield tunnel local failure accident |
| CN108254205A (en) * | 2017-12-15 | 2018-07-06 | 山东大学 | Tunnel danger stone collapses indoor large comprehensive simulation test platform and method |
| CN108267096A (en) * | 2017-12-25 | 2018-07-10 | 中铁科学技术开发公司 | Railway tunnel lining surface disease rapid detection system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109374644A (en) | 2019-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109374644B (en) | Tunnel lining defect intelligent detection simulation experiment device based on image recognition | |
| CN104952345B (en) | Strike-slip fault zone physical simulation experiment device and its operating method | |
| CN103778681A (en) | Vehicle-mounted high-speed road inspection system and data acquisition and processing method | |
| CN104315979B (en) | Three-dimensional scanner and three-dimensional scanning method | |
| CN203569401U (en) | Device for checking flatness of plate surface of track plate | |
| CN105806219A (en) | Method for detecting external dimension deviation of CRTSIII type track board | |
| CN112325788B (en) | Tunnel inner wall deformation characteristic in-situ measurement device and method based on digital photography | |
| CN110133639B (en) | Dowel bar construction quality detection method | |
| CN105261025B (en) | A kind of line-scan digital camera quick high accuracy caliberating device of high ferro detecting system | |
| CN110031352A (en) | Rockwell apparatus Standard Machine and hardness calibration method | |
| CN108802061A (en) | A kind of bridge crack detection device | |
| CN203603053U (en) | Detection device and system of bridge structure | |
| CN108895992A (en) | A kind of laser scanning device and application method for distress in concrete fracture surface roughness | |
| CN105841618A (en) | Two-dimensional and three-dimensional combined measuring instrument and data fusion calibration method thereof | |
| CN102706899B (en) | System and method for detecting secondary image of automobile glass | |
| CN115659470A (en) | Assembling method, system and application of prefabricated assembled bridge based on BIM concrete segments | |
| CN103033344B (en) | Optical system focal distance detection method | |
| CN208420742U (en) | A kind of bridge crack detection device | |
| CN105973146A (en) | automobile profile and lamp mounting dimension measurement device and measurement method | |
| CN1282508C (en) | Automatic flatness measuring device and method | |
| CN208736375U (en) | A kind of laser scanning device for distress in concrete fracture surface roughness | |
| CN114838852B (en) | Experimental device and experimental method for determining direction of geological stress field | |
| CN107974907B (en) | Calibrating device and calibrating method for road surface flatness detector | |
| CN205843625U (en) | Instrument for measuring three-dimensional profile | |
| CN209147926U (en) | A kind of refrigerator door detection system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |