CN210268541U - Tunnel face displacement monitoring device based on machine vision - Google Patents
Tunnel face displacement monitoring device based on machine vision Download PDFInfo
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- CN210268541U CN210268541U CN201921650337.1U CN201921650337U CN210268541U CN 210268541 U CN210268541 U CN 210268541U CN 201921650337 U CN201921650337 U CN 201921650337U CN 210268541 U CN210268541 U CN 210268541U
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Abstract
The utility model discloses a tunnel face displacement monitoring's device based on machine vision that the monitoring was used, the device comprises tunnel face image acquisition unit, information transmission unit, information processing unit, alarm unit and power module, through gathering tunnel face image, conveys information processing unit end via information transmission unit, and three-dimensional reconstruction obtains the three-dimensional model of face, calculates the relative displacement of face after comparing with face initial model. If the displacement exceeds a set threshold value, triggering an alarm unit to give an alarm; and if the displacement is not out of limit, continuously acquiring the image for monitoring. The deformation monitoring of the tunnel face is carried out by a machine vision method, and compared with the existing deformation monitoring technology, namely laser ranging and a sensor, the device has stronger operability, is practical and simple, and can well realize the deformation monitoring of the tunnel face so as to better control the construction safety.
Description
Technical Field
The utility model relates to a device of tunnel face displacement monitoring based on machine vision that monitoring was used.
Background
Since the 21 st century, the tunnel engineering project in China has been developed rapidly, and the development potential of the tunnel engineering in recent years is very huge according to the thirteenth five-year plan formulated in 2016 in China. Due to the particularity of tunnel engineering, the safety monitoring of the tunnel engineering in the construction and operation processes is an essential link in the construction safety link. At present, common means for monitoring the tunnel include laser ranging, sensors and the like.
The displacement deformation observation of the tunnel face can reflect the stability of the current tunnel excavation to a certain extent, the technology about tunnel face deformation monitoring is few at present, but the tunnel face is continuously promoted along with construction and has great fluidity, and the monitoring means commonly used at present, namely laser ranging and a sensor, is limited when being applied to monitoring of the tunnel face and is inconvenient to realize.
SUMMERY OF THE UTILITY MODEL
For the limitation of solving prior art's lack and current monitoring means, the utility model provides a device of tunnel face displacement monitoring based on machine vision adopts this kind of non-contact's monitoring mode, and its implementation method is simple, and monitoring effect is reliable, has solved preceding the problem well.
In order to achieve the above purpose, the utility model adopts the following technical scheme.
A device for monitoring displacement of a tunnel face based on machine vision comprises an image acquisition unit, an information transmission unit, an information processing unit, an alarm unit and a power module.
The image acquisition unit comprises an installation bottom plate, a CCD binocular camera and a light source, wherein the installation bottom plate is fixed on the excavated part through bolts at a position which is not influenced by construction operation and can acquire the image of the whole tunnel face on the ground; correspondingly, the CCD binocular camera is arranged on the mounting bottom plate; the light source is arranged on the CCD binocular camera shell.
The information transmission unit is composed of an optical fiber.
Compared with other materials capable of transmitting information, the optical fiber has higher transmission speed so as to achieve the purpose of processing images as soon as possible and further monitoring deformation.
And the power supply module is connected with the information processing unit and the alarm unit.
Preferably, the CCD binocular camera is provided with an electric dustproof door, and the electric dustproof door is controlled by the information processing unit. In order to prevent dust in the tunnel from polluting the camera, the electric dustproof door is only opened when the camera collects images.
Preferably, the light source adopts 4 phi 10 infrared lamps which are arranged at the edge of the shell of the binocular camera, the angle distribution is reasonable, and the flashlight effect is well solved.
Preferably, when the deformation of each observation point on the monitored tunnel face exceeds a set threshold, the alarm unit is triggered to give an alarm.
Compared with the prior art, the utility model discloses there is following beneficial effect:
1. the invention provides a tunnel face displacement monitoring device based on machine vision, which is characterized in that a fixedly installed image acquisition unit acquires a face image every 10 seconds, the face image is transmitted to an information processing unit and then subjected to three-dimensional reconstruction, real-time displacement of the face image is obtained through comparison with an initial three-dimensional model, and an alarm device is triggered after a set threshold value is exceeded, so that danger can be dealt with and handled in time.
2. Compared with the conventional common monitoring method, namely laser ranging and a sensor, the non-contact monitoring method adopted by the invention is more suitable for being applied to a monitoring target with fluidity, such as a tunnel face, and the implementation method is simple and effective, so that the monitoring of the tunnel face is well realized.
Drawings
FIG. 1 is a schematic view of the apparatus of the present invention in an installed state for measurement;
FIG. 2 is a schematic view of the apparatus according to the present invention;
FIG. 3 is a schematic flow chart of the method of the present invention.
In the figure: 1. a power supply module; 2. an alarm unit; 3. an information processing unit; 4. an information transmission unit (optical fiber); 5. mounting a bottom plate; 6, CCD binocular camera; 7. a light source; 8. electric dust-proof door.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings.
As shown in fig. 1 and fig. 2, the invention relates to a device for monitoring displacement of tunnel face based on machine vision, which mainly comprises a power module (1), an alarm unit (2), an information processing unit (3), an information transmission unit (4) and an image acquisition unit; the tunnel face image acquisition unit comprises an installation bottom plate (5), a CCD binocular camera (6) and a light source (7), wherein the installation bottom plate (5) is fixed on the ground of an excavated part at a position which is not influenced by construction operation through bolts and can acquire the whole face image; correspondingly, the CCD binocular camera (6) is arranged on the mounting bottom plate (5); the light source (7) is arranged on the shell of the CCD binocular camera (6); the information transmission unit (4) is composed of optical fibers; the power module (1) is connected with the information processing unit (3) and the alarm unit (2).
The CCD binocular camera (6) is provided with an electric dustproof door (8), and the electric dustproof door (8) is controlled by an information processing device. The light source (7) adopts 4 phi 10 infrared lamps, is arranged at the edge of the shell of the binocular camera (6), is reasonably distributed in angle, and well solves the flashlight effect;
as shown in fig. 3, a method for monitoring displacement of tunnel face based on machine vision, which uses the displacement deformation monitoring device to monitor displacement deformation.
The working flow of the present invention will be further described with reference to the accompanying drawings and examples.
The following specific work flow is only used for illustrating the present invention and is not used to limit the scope of the present invention:
1) erecting a monitoring device;
firstly, a bottom plate (5) is fixedly installed on the ground which is away from a target face by a certain distance and is not influenced by construction in an excavated part, and an image of the whole face can be acquired through bolts, then a CCD binocular camera (6), a matched light source (7), an electric dustproof door (8) and other equipment are erected, the equipment is connected with an information processing unit (3) through an information transmission unit (4), and the information processing unit (4) and an alarm unit (2) are respectively connected with a power supply module (1) and then are erected;
2) calibrating a CCD binocular camera (6);
calibrating internal parameters of a binocular camera, acquiring the internal parameters of the camera, and constructing an internal parameter matrix;
3) collecting a palm surface image;
collecting the palm surface image every 10 seconds after the light source is adjusted reasonably;
4) transmitting the acquired image to an information processing unit (3) through an information transmission unit (4), and reconstructing a three-dimensional model of the tunnel face;
after the information processing unit receives the collected image, the SURF algorithm is adopted to extract the image characteristic points, the same characteristic points of the left image and the right image are tracked according to the MHT algorithm, then the SGM algorithm is used to carry out pixel-by-pixel image matching, and then three-dimensional space point positioning is carried out, namely the coordinates of the characteristic points in the image in a pixel coordinate system [ u v 1 ]]TConversion into the world coordinate system. For the left and right cameras respectively:
wherein: zc1、Zc2Respectively representing the projection of the characteristic points on the Z axis in the left camera coordinate system and the right camera coordinate system;
[xwywzw]Tare the coordinates of points in a world coordinate system.
The two formulas are arranged to obtain:
and solving X, Y and Z by adopting a least square method, wherein the coordinate is the coordinate of the characteristic point in a world coordinate system.
Obtaining a surface geometric model of the tunnel face from the calculated coordinates, and finally performing texture mapping to obtain a complete tunnel face three-dimensional model;
5) calculating the relative displacement and deformation of the tunnel face;
by comparing the three-dimensional coordinates of the characteristic points of the current model and the initial model, the relative displacement of each characteristic point is calculated, and the displacement and the deformation of the tunnel face are obtained.
When the deformation of each observation point on the monitored tunnel face exceeds a set threshold value, the alarm unit (2) is triggered to give an alarm, and dangerous conditions are dealt with and processed in time, so that the safety of the construction environment is ensured.
Claims (4)
1. A device for monitoring displacement of a tunnel face based on machine vision mainly comprises a power module (1), an alarm unit (2), an information processing unit (3), an information transmission unit (4) and an image acquisition unit; the method is characterized in that: the tunnel face image acquisition unit comprises a mounting bottom plate (5), a CCD binocular camera (6) and a light source (7), wherein the mounting bottom plate (5) is fixed on the excavated part through bolts at a position which is not influenced by construction operation and can acquire the whole face image on the ground; correspondingly, the CCD binocular camera (6) is arranged on the mounting bottom plate (5); the light source (7) is arranged on the shell of the CCD binocular camera (6); the information transmission unit (4) is composed of optical fibers; the power module (1) is connected with the information processing unit (3) and the alarm unit (2).
2. The apparatus of claim 1, wherein: the CCD binocular camera (6) is provided with an electric dustproof door (8), and the electric dustproof door (8) is controlled by the information processing unit (3); when CCD binocular camera (6) gathered the image, electronic dustproof door (8) were opened, and other times are in the closed condition, can prevent that the dust from sheltering from the camera lens, improve the quality of gathering the image.
3. The apparatus of claim 1, wherein: the light source (7) adopts 4 phi 10 infrared lamps, is arranged at the edge of the shell of the CCD binocular camera (6), has reasonable angle distribution, and well solves the flashlight effect.
4. The apparatus of claim 1, wherein: when the deformation of each observation point on the monitored tunnel face exceeds a set threshold value, an alarm unit (2) is triggered to give an alarm.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110514126A (en) * | 2019-09-30 | 2019-11-29 | 西南石油大学 | A method of the tunnel tunnel face displacement monitoring based on machine vision |
| CN111442728A (en) * | 2020-04-10 | 2020-07-24 | 中铁十六局集团路桥工程有限公司 | Tunnel rock stratum multipoint displacement synchronous monitoring method based on remote sensing technology |
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2019
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110514126A (en) * | 2019-09-30 | 2019-11-29 | 西南石油大学 | A method of the tunnel tunnel face displacement monitoring based on machine vision |
| CN111442728A (en) * | 2020-04-10 | 2020-07-24 | 中铁十六局集团路桥工程有限公司 | Tunnel rock stratum multipoint displacement synchronous monitoring method based on remote sensing technology |
| CN111442728B (en) * | 2020-04-10 | 2022-04-01 | 中铁十六局集团路桥工程有限公司 | Tunnel rock stratum multipoint displacement synchronous monitoring method based on remote sensing technology |
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