CN108710122A - A kind of horn antenna and its detection method to highway tunnel lining - Google Patents
A kind of horn antenna and its detection method to highway tunnel lining Download PDFInfo
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- CN108710122A CN108710122A CN201810573744.0A CN201810573744A CN108710122A CN 108710122 A CN108710122 A CN 108710122A CN 201810573744 A CN201810573744 A CN 201810573744A CN 108710122 A CN108710122 A CN 108710122A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The present invention relates to a kind of horn antennas, and it is 380MHz-1.6GHz to belong to Tunnel testing technical field antenna frequencies, and the horn antenna is 10cm-3m at a distance from liner structure, and the investigation depth to liner structure is 40cm-3m.A kind of highway tunnel lining detection method, including S1：Horn antenna is fixedly connected with the polyaxial rotating mechanical arm on carrier vehicle, polyaxial rotating mechanical arm control command range parameter of the antenna far from lining cutting surface texture is adjusted, determines the actual range of antenna distance lining cutting；S2：Arrange parameter starts horn antenna, laser ranging wheel and carrier vehicle and at the uniform velocity advances；S3：Tunnel-liner is acquired by horn antenna radar, by collected information preservation to data computer, while using laser ranging wheel recording distance-time parameter and being saved in data computer；S4：Processing data simultaneously correct.The present invention is detected using horn antenna, and closing track is not had to when detection and avoids security risk without worker's working at height.
Description
Technical field
The invention belongs to Tunnel testing technical fields, and in particular to a kind of horn antenna and its to highway tunnel lining
Detection method.
Background technology
Vcehicular tunnel is very important when carrying out friendship final acceptance of construction and to the detection of lining quality when later maintenance
One content.Country's tunnel-liner GPR detection is still in the closely connected lining cutting surface of man-hour manually hand-held geological radar antenna at present
In the contact measurement stage, detection speed is relatively low, generally 3~5km/h.
The main problem of this kind of detection mode has at 3 points：
(1) radar antenna cannot disengage detection object, otherwise will appear the bad phenomenon of signal, be unfavorable at later data
Reason and interpretation, severe patient results even in data invalid, and detects scene since there are various problems, often results in this kind of phenomenon difficulty
To avoid completely.
(2) it when being detected using this kind of method, usually by manually holding antenna, stands in high altitude vehicle fence aloft
There are larger to fall security risk when operation, Uneven road or slightly fast car speed.In addition long-time operation tunnel lining cutting table
Area ash is serious, and ground coupling antenna will cause flue dust in hole to float in the air after striking off dust stratification, influence environment.
(3) road occupying construction operation must be carried out when detecting, and road occupying construction examination and approval procedures are handled and collision risk control is also
A great problem.
Research at present about contactless radar detection method basic theory and processing method is seldom, be mainly reflected in
Lower three aspects：
(1) to contactless radar electromagnetic wave mechanism of transmission research deficiency, electromagnetic wave is not known about under contactless state
The mechanism of transmission, it is difficult to Radar Data accurately handle and explain；
(2) to contactless Radar Data denoising method research deficiency, due to antenna cannot completely with detection medium couples,
Radar Data will present the feature that bottom energy is weak, signal-to-noise ratio is low, and conventional treatment method is difficult to eliminate the noise data signal；
(3) insufficient to the decaying of non-contact Radar Data wavelet and frequency dispersion research, eliminate the wavelet decaying of Coherent Noise in GPR Record
The depth of exploration and exploration resolution of Ground Penetrating Radar can be improved well with frequency dispersion, the common son for eliminating Coherent Noise in GPR Record
Wave attenuation and frequency dispersion method are inverse Q filtering method, and this method needs the Q parameters using underground medium, but correctly seeks underground
The Q parameters of medium are highly difficult；
With the development of tunnel operating mileage, artificial detection method has been unable to meet the testing requirements in tunnel, main cause
It is：1) manual detection efficiency is low, time-consuming, effort, it is difficult to ensure the periodicity and promptness of detection；2) tunnel is often handed over
The important node of logical circuit, artificial detection are difficult to complete detection work in the limited time.If relying on artificial detection always,
It is to need to expend a large amount of personnel, and detection speed is slow, cannot meet the requirement of Vehicle Detection rapidity, accuracy.And due to
The development speed in China tunnel is swift and violent, this technology and equipment for allowing for tunnel defect detection falls behind relatively, cannot be satisfied quickly
The requirement of the tunnel construction of development.Therefore in order to adapt to the construction and development in tunnel, it is also very desirable to a kind of highway rapidly and efficiently
Tunnel-liner detection method realizes the efficient, accurate of tunnel defect detection.
Invention content
In view of this, the purpose of the present invention is to provide a kind of highway tunnel lining detection method, Air Coupling day is used
Line radar quickly and efficiently carries out detection work in the case where not contacting lining cutting surface.
In order to achieve the above objectives, the present invention provides the following technical solutions：
An aspect of of the present present invention provides a kind of horn antenna, and for detecting tunnel lining structure, antenna frequencies are
380MHz-1.6GHz, when detecting tunnel-liner, the horn antenna is 10cm-3m at a distance from liner structure, to lining
The investigation depth for building structure is 40cm-3m.
Another aspect of the present invention provides a kind of highway tunnel lining detection method of above-mentioned horn antenna, including
Following steps：
S1：Horn antenna is fixedly connected with the polyaxial rotating mechanical arm on carrier vehicle, adjusts polyaxial rotation
Turn mechanical arm control command range parameter of the horn antenna far from lining cutting surface texture, determines the reality of antenna distance lining cutting
Distance；
S2：Antenna frequencies and gain situation parameter are set, horn antenna radar system and laser ranging wheel are started, is carried
Body vehicle at the uniform velocity advances；
S3：Tunnel-liner data are acquired by horn antenna, by collected information preservation to data computer, together
Shi Liyong laser rangings wheel recording distance-time parameter is simultaneously saved in data computer；
S4：Data are handled, the distance verses time parameter recorded using laser ranging wheel is corrected result distance parameter,
To ensure correctly to find out disease locations of structures according to result.
Further, in step s3, include the following steps：
S31：Control the vault that the horn antenna is directed toward tunnel by polyaxial rotating mechanical arm, carrier vehicle first
It is secondary to pass through tunnel, to acquire the mass parameter of tunnel vault lining cutting；
S32：Control the side haunch that the horn antenna is directed toward tunnel by polyaxial rotating mechanical arm, carrier vehicle
Return is passed through tunnel for the second time, to acquire the mass parameter of tunnel side haunch lining cutting；
S33：Carrier vehicle again returns to, and passes through tunnel for the third time, and the quality to acquire the haunch lining cutting of the tunnel other side is joined
Number；
S34：In the method described in step S32 and S33 again back and forth through tunnel to acquire the lining cutting of tunnel both sides abutment wall
Mass parameter；
S35：The distance verses time parameter passed through tunnel every time is recorded using laser ranging wheel and is saved in data computer.
Further, in step s 2, further include using distance of the laser range finder to horn antenna to lining cutting surface
Accuracy compensation is carried out, in real time inputs range data in mechanical arm control system, and real-time compensation function is taken to ensure air coupling
Antenna is closed at a distance from tunnel.
Further, the detection speed of service of the carrier vehicle is 50-70km/h.
Further, it is divided into 0.5m-2m between the sampled distance of the horn antenna radar.
The present invention using contactless highway tunnel lining Structural defect check onboard system come to highway tunnel lining into
Row detection, contactless highway tunnel lining Structural defect check that onboard system includes horn antenna radar system, laser
Rangefinder, the polyaxial rotating mechanical arm and laser ranging wheel for being built-in with adjustment antenna-lining cutting distance algorithm in due course, the sky
Gas coupled antenna radar system includes the radar host computer being placed on carrier vehicle and data computer, further include be fixedly connected on it is more
Horn antenna on axial-rotation mechanical arm, the polyaxial rotating mechanical arm is mobilizable to be connected to vehicle roof, uses
In the position of adjustment horn antenna, the laser range finder is mounted on beside horn antenna, direction and Air Coupling
Antenna side is parallel, and the laser ranging wheel is connected to carrier vehicle rear end.
The frequency of horn antenna is 380MHz-1.6GHz, and the distance of antenna distance liner structure is 10cm-3m, is visited
The depth of survey is 40cm-3m, according to the position of the distinguishable reinforcing bar of result of detection and quantity.Horn antenna be placed on vehicle compared with
Centered on position, carry out suitable angle adjustment, rotation and flexible, it is not necessary to go close to lining using the mechanical arm of long range
Finish building into detection.
Laser ranging instrument can complete two functions：1. driver and testing staff can exist according to laser rays in detection process
Whether the survey line of the position judgment antenna detection of flushing point meets testing requirements in lining cutting.Also it can in time be reminded in detection process
Driver's test position whether sideslip, to correct in time.2. laser rays distance mearuring equipment also copes with antenna distance lining cutting surface location
Distance recorded, which can according to circumstances be designed for two aspects, and one is can be used in detection process, will be away from
It timely feedbacks in the mechanical arm of fixed antenna, computational algorithm built in mechanical arm, can be adjusted antenna to lining cutting in real time from data
Distance be fixed on it is same numerically；Secondly also can direct recording distance data, which is used for the data processing in later stage
In work, range data introducing is compensated into calculating to location information in data processing, thus by the lining in result images
It builds surface location compensation and is shown as straight line, to facilitate the explanation of defect information.
The range information for also needing to record vehicle traveling carries out the normalized on tunnel longitudinal length to data.
Because GPS information cannot be received in vcehicular tunnel well, it is likely to result in measurement error, therefore using in laser ranging wheel
The method of wheel perimeter * wheel rotating cycles records final form distance, and this method is using simple, then coordinates the scene existing
The amendment of mileage pile No. can accomplish that disease position is accurate.
Beneficial effects of the present invention further include：Use a frequency adjustable extent 38 in the present invention
The high frequency antenna of 0MHz-1.6GHz may be selected to complete the Structural defect detection of tunnel-liner in detection process
Horn antenna is come to nothing to apart from the position of lining cutting 10cm to 3m, the speed traveling of speed per hour 50-70km/h can be used in vehicle,
Radar antenna is obtained time and the reflection case of Electromagnetic Wave Propagation, is obtained with this by the send-receive of electromagnetic wave in driving process
Obtain the defect situation inside tunnel lining structure；Traffic organization work can not be done, does not have to closing track, saves and handle traffic group
Knit the trouble of formality；Equipment is fixed on vehicle, without worker's working at height, avoids security risk；In effective range, antenna
Signal stabilization is conducive to later data processing and interpretation, reduces error when artificial detection.
Description of the drawings
In order to keep the purpose of the present invention, technical solution and advantageous effect clearer, the present invention provides following attached drawing and carries out
Explanation：
Fig. 1 is the step schematic diagram of the highway tunnel lining detection method described in the embodiment of the present invention；
Fig. 2 is the structure of the contactless highway tunnel lining Structural defect inspection onboard system described in the embodiment of the present invention
Schematic diagram.
Specific implementation mode
Below in conjunction with attached drawing, the preferred embodiment of the present invention is described in detail.
On the one hand, a kind of horn antenna 1 for detecting tunnel lining structure, antenna frequency are provided in the present embodiment
Rate is 380MHz-1.6GHz, and the horn antenna 1 is 10cm-3m at a distance from liner structure when detecting, to lining cutting knot
The investigation depth of structure is 40cm-3m.
On the other hand, as shown in Figure 1, a kind of highway tunnel lining detection method based on above-mentioned horn antenna 1, packet
Include following steps：
101：Horn antenna 1 is fixedly connected with the polyaxial rotating mechanical arm 3 on carrier vehicle, by the air
1 position of coupled antenna is adjusted to the relatively center on carrier vehicle, and adjustment mechanical arm controls horn antenna 1 far from lining cutting
The command range parameter of surface texture determines the actual range of antenna distance lining cutting；
102：Radar frequency and gain situation parameter are set, horn antenna radar and laser ranging wheel 4, carrier are started
Vehicle at the uniform velocity advances；
103：Tunnel-liner is acquired by horn antenna radar, by collected information preservation to data computer,
While it using 4 recording distances of laser ranging wheel-time parameter and being saved in data computer；
104：Data are handled, the distance verses time parameter recorded using laser ranging wheel 4 carries out school to result distance parameter
Just, to ensure correctly to find out disease locations of structures according to result.
Optionally, in step 103, further comprising the steps of：
1031：Control the vault that the horn antenna 1 is directed toward tunnel by polyaxial rotating mechanical arm 3, carrier vehicle
It passes through tunnel for the first time, to acquire the mass parameter of tunnel vault lining cutting；
1032：Control the left side haunch that the horn antenna 1 is directed toward tunnel by polyaxial rotating mechanical arm 3, carrier
Vehicle return is passed through tunnel for the second time, to acquire the mass parameter of haunch lining cutting on the left of tunnel；
1033：Carrier vehicle again returns to, and passes through tunnel for the third time, and the quality to acquire haunch lining cutting on the right side of tunnel is joined
Number；
1034：In the method described in step 1032 and 1033 again back and forth through tunnel to acquire the lining of tunnel both sides abutment wall
Build mass parameter；
1035：The distance verses time parameter passed through tunnel every time is recorded using laser ranging wheel 4 and is saved in data computer
In.
Optionally, in a step 102, further include using laser range finder 2 to horn antenna 1 to lining cutting surface away from
From accuracy compensation is carried out, range data is inputted in mechanical arm control system in real time, and real-time compensation function is taken to ensure air
Coupled antenna 1 is at a distance from tunnel.
Optionally, the estimated detection speed of the carrier vehicle is 50-70km/h.
Optionally, the range accuracy of the laser range finder is 1mm, and the distance interval of sampling is 0.5m-2m.
Scheme is described in detail using specific embodiment below：
The present embodiment checks onboard system come to public affairs using contactless highway tunnel lining Structural defect as shown in Figure 2
Road tunnel-liner is detected, and contactless highway tunnel lining Structural defect checks that onboard system includes horn antenna thunder
Up to system, laser range finder 2, polyaxial rotating mechanical arm 3 and laser ranging wheel 4, the horn antenna radar system
Further include the sky being fixedly connected on polyaxial rotating mechanical arm 3 including the radar host computer being placed on vehicle and data computer
Gas coupled antenna 1, the polyaxial rotating mechanical arm 3 is mobilizable to be connected to vehicle roof, for adjusting horn antenna 1
Position, the laser range finder 2 is mounted on the side of horn antenna 1, is directed toward, institute parallel with the survey face of horn antenna 1
It states laser ranging wheel 4 and is connected to rear vehicle end.
The frequency of horn antenna 1 is 380MHz-1.6GHz, and the distance of antenna distance liner structure farthest can reach 3m
The depth of left and right, detection is most deep up to being 3m, according to the position of the distinguishable reinforcing bar of result of detection and quantity.Horn antenna 1
It is placed on vehicle the position compared with centered on, carry out suitable angle adjustment, rotation and is stretched, it is not necessary to use the machine of long range
Tool arm goes to complete detection close to lining cutting.
Laser range finder 2 can complete two functions：1. driver and testing staff can exist according to laser rays in detection process
Whether the survey line of the position judgment antenna detection of flushing point meets testing requirements in lining cutting.Also it can in time be reminded in detection process
Driver's test position whether sideslip, to correct in time.(function can gradually adopt automatic calculating in update in the future
To be adjusted, in order to which fixed vehicle is bound to detect the position of same survey line during traveling.) 2. swash
Light rangefinder should also record the distance of antenna distance lining cutting surface location, which can according to circumstances be designed for two
A aspect, one is can be used in detection process, range data is timely feedbacked in the mechanical arm of fixed antenna, mechanical arm
Built-in computational algorithm, can adjust in real time by the distance of antenna to lining cutting be fixed on it is same numerically；Secondly it also can directly record
Range data, by the data in the data processing work in later stage, range data to be introduced contraposition confidence in data processing
Breath compensates calculating, to which the lining cutting surface location compensation in result images is shown as straight line, to facilitate disease to believe
The explanation of breath.
The range information for also needing to record vehicle traveling carries out the normalized on tunnel longitudinal length to data.
Because GPS information cannot be received in vcehicular tunnel well, it is likely to result in measurement error, therefore using laser ranging wheel 4
The method of middle wheel perimeter * wheel rotating cycles records final form distance, and this method is using simple, then coordinates scene both
There is the amendment of mileage pile No., can accomplish that disease position is accurate.
The power supply that whole system is opened in radar host computer and data computer opens the software of control hardware cell, input
In this detection process, command range parameter of the radar antenna far from lining cutting surface texture determines that antenna comes to nothing the reality of lining cutting
Distance is set as 3m in the present embodiment, and the setting of parameter is carried out to radar frequency, gain situation etc., swashs in the present embodiment
The range accuracy of optar is 1mm, and the distance interval of sampling is 0.5m, and radar frequency is set as 1.6GHz.
Click starts to acquire button, and radar, laser compensation system, laser ranging wheel 4 start simultaneously at data collection task, vehicle
The speed of 60km/h is kept to advance, laser compensation system in real time inputs range data in mechanical arm control system, and takes
Real-time compensation function ensures distance of the antenna far from tunnel.The distance verses time parameter that laser ranging wheel 4 records is stored in data electricity
In brain.
After detecting work, data collection task terminates, and carries out post-processing work to data, uses and swash during mathematics
The distance verses time parameter that ligh-ranging wheel 4 records is corrected result distance parameter, to ensure correctly be found out according to result
Disease locations of structures.
Finally illustrate, preferred embodiment above is merely illustrative of the technical solution of the present invention and unrestricted, although logical
It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (6)
1. a kind of horn antenna, for detecting tunnel lining structure, it is characterised in that：Antenna frequencies are 380MHz-
1.6GHz, the horn antenna are 10cm-3m at a distance from liner structure, and the investigation depth to liner structure is 40cm-
3m。
2. a kind of highway tunnel lining detection method based on horn antenna described in claim 1, it is characterised in that：Packet
Include following steps：
S1：Horn antenna is fixedly connected with the polyaxial rotating mechanical arm on carrier vehicle, adjusts polyaxial whirler
Tool arm controls command range parameter of the horn antenna far from lining cutting surface texture, determine antenna distance lining cutting it is practical away from
From；
S2：Antenna frequencies and gain situation parameter are set, horn antenna radar system and laser ranging wheel, carrier vehicle are started
At the uniform velocity advance；
S3：Tunnel-liner data are acquired by horn antenna, by collected information preservation to data computer, while profit
With laser ranging wheel recording distance-time parameter and it is saved in data computer；
S4：Data are handled, the distance verses time parameter recorded using laser ranging wheel is corrected result distance parameter, to protect
Card correctly finds out disease locations of structures according to result.
3. the highway tunnel lining detection side according to claim 2 based on horn antenna described in claim 1
Method, it is characterised in that：In step s3, include the following steps：
S31：The vault that the horn antenna is directed toward tunnel by polyaxial rotating mechanical arm is controlled, carrier vehicle is worn for the first time
Tunnel is crossed, to acquire the mass parameter of tunnel vault lining cutting；
S32：The side haunch that the horn antenna is directed toward tunnel by polyaxial rotating mechanical arm is controlled, carrier vehicle returns
It passes through tunnel for the second time, to acquire the mass parameter of tunnel side haunch lining cutting；
S33：Carrier vehicle again returns to, and passes through tunnel for the third time, to acquire the mass parameter of tunnel other side haunch lining cutting；
S34：In the method described in step S32 and S33 again back and forth through tunnel to acquire the lining quality of tunnel both sides abutment wall
Parameter；
S35：The distance verses time parameter passed through tunnel every time is recorded using laser ranging wheel and is saved in data computer.
4. the highway tunnel lining detection side according to claim 3 based on horn antenna described in claim 1
Method, it is characterised in that：In step s 2, further include using laser range finder to the distance of horn antenna to lining cutting surface into
Row accuracy compensation in real time inputs range data in mechanical arm control system, and real-time compensation function is taken to ensure Air Coupling
Antenna is at a distance from tunnel.
5. the highway tunnel lining detection side according to claim 4 based on horn antenna described in claim 1
Method, it is characterised in that：The detection speed of service of the carrier vehicle is 50-70km/h.
6. the highway tunnel lining detection side according to claim 5 based on horn antenna described in claim 1
Method, it is characterised in that：The range accuracy of the laser range finder is 1mm, and the distance interval of sampling is 0.5m-2m.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810573744.0A CN108710122A (en) | 2018-06-06 | 2018-06-06 | A kind of horn antenna and its detection method to highway tunnel lining |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810573744.0A CN108710122A (en) | 2018-06-06 | 2018-06-06 | A kind of horn antenna and its detection method to highway tunnel lining |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108710122A true CN108710122A (en) | 2018-10-26 |
Family
ID=63870366
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810573744.0A Pending CN108710122A (en) | 2018-06-06 | 2018-06-06 | A kind of horn antenna and its detection method to highway tunnel lining |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110161043A (en) * | 2019-05-10 | 2019-08-23 | 同济大学 | A kind of subway tunnel structure synthetic detection vehicle |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102607477A (en) * | 2012-01-13 | 2012-07-25 | 西南交通大学 | Full-face vehicular detection method for railway tunnel lining and device |
| CN104567839A (en) * | 2015-01-06 | 2015-04-29 | 交通运输部公路科学研究所 | Tunnel inspection lofting device and lofting method |
| CN105083305A (en) * | 2015-09-16 | 2015-11-25 | 中国铁道科学研究院 | Tunnel state detection vehicle |
| CN105137494A (en) * | 2015-09-21 | 2015-12-09 | 安徽理工大学 | Exploration support, exploration device and exploration method used for detection geology of surrounding rocks of roadway |
| CN105302143A (en) * | 2015-11-24 | 2016-02-03 | 中国铁道科学研究院 | Tunnel lining detecting device and detecting vehicle |
| CN106290380A (en) * | 2016-08-31 | 2017-01-04 | 招商局重庆交通科研设计院有限公司 | Deep, tunnel disease integrated detection system |
| CN106501866A (en) * | 2016-12-22 | 2017-03-15 | 山东大学 | A kind of radar installations and using method suitable for lining quality of channel |
-
2018
- 2018-06-06 CN CN201810573744.0A patent/CN108710122A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102607477A (en) * | 2012-01-13 | 2012-07-25 | 西南交通大学 | Full-face vehicular detection method for railway tunnel lining and device |
| CN104567839A (en) * | 2015-01-06 | 2015-04-29 | 交通运输部公路科学研究所 | Tunnel inspection lofting device and lofting method |
| CN105083305A (en) * | 2015-09-16 | 2015-11-25 | 中国铁道科学研究院 | Tunnel state detection vehicle |
| CN105137494A (en) * | 2015-09-21 | 2015-12-09 | 安徽理工大学 | Exploration support, exploration device and exploration method used for detection geology of surrounding rocks of roadway |
| CN105302143A (en) * | 2015-11-24 | 2016-02-03 | 中国铁道科学研究院 | Tunnel lining detecting device and detecting vehicle |
| CN106290380A (en) * | 2016-08-31 | 2017-01-04 | 招商局重庆交通科研设计院有限公司 | Deep, tunnel disease integrated detection system |
| CN106501866A (en) * | 2016-12-22 | 2017-03-15 | 山东大学 | A kind of radar installations and using method suitable for lining quality of channel |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110161043A (en) * | 2019-05-10 | 2019-08-23 | 同济大学 | A kind of subway tunnel structure synthetic detection vehicle |
| CN110161043B (en) * | 2019-05-10 | 2021-03-26 | 同济大学 | Subway tunnel structure comprehensive detection vehicle |
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