CN211401099U - Rail transit carries on tunnel detection device of formula - Google Patents
Rail transit carries on tunnel detection device of formula Download PDFInfo
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- CN211401099U CN211401099U CN202020252171.4U CN202020252171U CN211401099U CN 211401099 U CN211401099 U CN 211401099U CN 202020252171 U CN202020252171 U CN 202020252171U CN 211401099 U CN211401099 U CN 211401099U
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- 238000001514 detection method Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000012544 monitoring process Methods 0.000 claims abstract description 20
- 238000007781 pre-processing Methods 0.000 claims abstract description 5
- 230000001681 protective effect Effects 0.000 claims description 2
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Abstract
The utility model discloses a track traffic carrying type tunnel detection device, which comprises a photosensitive sensor group, a data acquisition device and a data control processing module; the photosensitive sensor group comprises a plurality of photosensitive sensors which are respectively positioned at the top and two sides of the train head; the data acquisition device comprises a laser radar and a base, and the laser radar is arranged at the head of the train through the base; the photosensitive sensor group transmits the acquired photosensitive signals to the data control processing module, and the data control processing module controls the acquisition time of the data acquisition device; the data control processing module receives the laser point cloud data acquired by the data acquisition device, and carries out preprocessing, recording and calculating to realize dynamic monitoring of the tunnel. The utility model discloses make tunnel deformation monitoring faster, more convenient, realize the intelligent detection to tunnel deformation.
Description
Technical Field
The utility model belongs to tunnel deformation monitoring, laser radar use and data transmission field, concretely relates to tunnel detection device of track traffic formula of carrying on.
Background
At present, there are two types of monitoring modes of automatic monitoring and manual monitoring for tunnel deformation, the automatic monitoring is mainly based on the adoption of an integrated system for laying a deformation pipe, an optical fiber inclinometer, an optical cable and the like, and unmanned vehicle scanning laser point cloud, and the manual monitoring is used for periodically using related deformation monitoring equipment to perform manual detection. The method has the disadvantages that the measurement is not carried out under the condition of utilizing the existing resources, the consumed human resources and material resources are more, and the timeliness, the data validity and the magnitude can not be ensured at the same time.
The existing tunnel deformation monitoring method and equipment have the following problems:
(1) laying a deformation pipe, an optical fiber inclinometer, an optical cable and other integrated systems, so that the deformation condition of the whole tunnel cannot be obtained, only whether the tunnel is deformed or not can be judged, and a digital model cannot be established for the tunnel;
(2) the unmanned vehicle scans the laser point cloud, does not utilize the existing resources, adopts a mode of using an additional moving carrier to measure, consumes material resources, has long measuring time interval and cannot obtain deformation data in time;
(3) the mode of periodically using the relevant deformation monitoring equipment for manual detection consumes too much manpower and material resources, and the data time interval is long, so that the whole deformation data of the tunnel cannot be obtained.
SUMMERY OF THE UTILITY MODEL
Utility model purpose: the utility model provides a tunnel detection device of track traffic formula of carrying on makes tunnel deformation monitoring faster, more convenient, realizes the intelligent detection to tunnel deformation.
The technical scheme is as follows: the utility model provides a track traffic carrying type tunnel detection device, which comprises a photosensitive sensor group, a data acquisition device and a data control processing module; the photosensitive sensor group comprises a plurality of photosensitive sensors which are respectively positioned at the top and two sides of the train head; the data acquisition device comprises a laser radar and a base, and the laser radar is arranged at the head of the train through the base; the photosensitive sensor group transmits the acquired photosensitive signals to the data control processing module, and the data control processing module controls the acquisition time of the data acquisition device; the data control processing module receives the laser point cloud data acquired by the data acquisition device, and carries out preprocessing, recording and calculating to realize dynamic monitoring of the tunnel.
Preferably, the photosensitive sensors are uniformly and symmetrically distributed on the top and two sides of the train.
Preferably, the base is connected with the train head through a connecting screw.
Preferably, a protective cover is arranged on the photosensitive sensor and the laser radar.
The working principle is as follows: when the train passes through the tunnel, the photosensitive sensor group transmits photosensitive signals to the data control processing module, the data control processing module controls the laser radar in the data acquisition device to start working, the laser point cloud acquisition work is carried out, and laser point cloud data are generated. After the laser radar passes through the tunnel, the light intensity signal is transmitted to the data control processing module by the photosensitive sensor group to close the laser radar. The data control processing module receives the laser point cloud data acquired by the data acquisition device, and carries out preprocessing, recording and calculating to realize dynamic monitoring of the tunnel.
Has the advantages that: compared with the prior art, the beneficial effects of the utility model are that: 1. realizing the automatic monitoring process of laser radar tunnel monitoring; 2. the tunnel does not need to be sealed, so that the traffic is inconvenient; 3. the observation period is short, the sampling interval is small, and the tunnel deformation condition can be analyzed in real time; 4. the method is favorable for promoting the city to establish a full-digital monitoring system of the rail transit tunnel.
Drawings
FIG. 1 is a schematic view of the working state of the present invention;
fig. 2 is a top view of the present invention;
FIG. 3 is a flow chart of the present invention;
the system comprises a photosensitive sensor 1, a laser radar 2 and a base 3.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1 and 2, a track traffic-mounted tunnel detection device includes a photosensitive sensor group, a data acquisition device, and a data control processing module. The photosensitive sensor group comprises a plurality of photosensitive sensors 1 which are respectively positioned at the top and two sides of the train head, and transmits acquired photosensitive signals to the data control processing module to realize the control of the time for starting the data acquisition device. Data acquisition device includes laser radar 2 and base 3, and laser radar 2 installs at the train head through base 3, uses the connecting screw to be connected the base with the train head, and laser radar fixes on the base, through using the coordinate information of laser radar collection tunnel internal surface: after the laser radar 2 is started, laser is emitted outwards from a laser port according to a preset angle, the laser irradiates an object to be observed to be reflected, and the laser radar receives the reflected laser to form laser point cloud. The data control processing module receives the laser point cloud data acquired by the data acquisition device, and carries out preprocessing, recording and calculating to realize dynamic monitoring of the tunnel. All be equipped with the protection casing on light sensor and the laser radar, prevent to be invaded by the wind and dirt and lose and external force destruction.
But sensor 1 uniform symmetry distributes at the top and both sides of train, surveys the external environment that the train was located from many positions, only starts data acquisition device when the illumination intensity that all light sensor surveyed is all lower, avoids leading to the mistake to start data acquisition device because of accidental external factors.
As shown in fig. 3, a detection flow of a track traffic-mounted tunnel detection device is as follows: when the train runs into the tunnel, the intensity of the optical signals received by the photosensitive sensor 2 jumps to a lower level, the laser radar is started, and the laser radar 2 acquires position information inside the tunnel to generate tunnel point cloud data; and (4) until the train exits the tunnel, recovering the optical signal received by the photosensitive sensor 1 to the normal level again, and stopping data acquisition. The data control processing module carries out filtering processing on the point cloud data, eliminates part of abnormal data acquired when the point cloud data just enters and exits the tunnel, eliminates point clouds with large errors acquired inside the tunnel, records and calculates the data, constructs a three-dimensional model of the internal structure of the tunnel, carries out time sequence analysis on the three-dimensional models established in different observation periods, and realizes dynamic monitoring of the urban tunnel.
The above-mentioned embodiments only represent the preferred embodiments of the present invention, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the present invention. It should be noted that, for those skilled in the art, various changes, modifications and substitutions can be made without departing from the spirit of the invention, and these are all within the scope of the invention. Therefore, the protection scope of the present invention should be subject to the appended claims.
Claims (4)
1. A rail transit carried tunnel detection device is characterized by comprising a photosensitive sensor group, a data acquisition device and a data control processing module; the photosensitive sensor group comprises a plurality of photosensitive sensors (1) which are respectively positioned at the top and two sides of the train head; the data acquisition device comprises a laser radar (2) and a base (3), wherein the laser radar (2) is arranged at the head of the train through the base (3); the photosensitive sensor group transmits the acquired photosensitive signals to the data control processing module, and the data control processing module controls the acquisition time of the data acquisition device; the data control processing module receives the laser point cloud data acquired by the data acquisition device, and carries out preprocessing, recording and calculating to realize dynamic monitoring of the tunnel.
2. The track traffic-mounted tunnel detection device according to claim 1, wherein the photosensitive sensors (1) are uniformly and symmetrically distributed on the top and two sides of the train.
3. A track-traffic-carrying tunnel detection apparatus according to claim 1, wherein the base (3) is connected to the head of the train by means of a connecting screw.
4. The rail transit-mounted tunnel detection device according to claim 1, wherein a protective cover is arranged on the photosensitive sensor (1) and the laser radar (2).
Priority Applications (1)
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CN202020252171.4U CN211401099U (en) | 2020-03-04 | 2020-03-04 | Rail transit carries on tunnel detection device of formula |
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CN202020252171.4U CN211401099U (en) | 2020-03-04 | 2020-03-04 | Rail transit carries on tunnel detection device of formula |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117906522A (en) * | 2024-01-17 | 2024-04-19 | 中山大学 | Tunnel deformation detection method, device, equipment and storage medium |
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2020
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117906522A (en) * | 2024-01-17 | 2024-04-19 | 中山大学 | Tunnel deformation detection method, device, equipment and storage medium |
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