CN215447901U - Landslide early warning device based on AI video - Google Patents
Landslide early warning device based on AI video Download PDFInfo
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- CN215447901U CN215447901U CN202120744928.6U CN202120744928U CN215447901U CN 215447901 U CN215447901 U CN 215447901U CN 202120744928 U CN202120744928 U CN 202120744928U CN 215447901 U CN215447901 U CN 215447901U
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- 238000012544 monitoring process Methods 0.000 claims abstract description 67
- 238000012806 monitoring device Methods 0.000 claims abstract description 19
- 230000005540 biological transmission Effects 0.000 claims abstract description 11
- 238000006073 displacement reaction Methods 0.000 claims abstract description 5
- 238000000034 method Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004880 explosion Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 244000052769 pathogen Species 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- DMBHHRLKUKUOEG-UHFFFAOYSA-N diphenylamine Chemical compound C=1C=CC=CC=1NC1=CC=CC=C1 DMBHHRLKUKUOEG-UHFFFAOYSA-N 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
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Abstract
The utility model discloses landslide early warning equipment based on AI video, which is used for monitoring the displacement of a side slope on one side of a roadbed and comprises a side slope slippage monitoring device, an alarm and a wireless monitoring device; the slope slippage monitoring device comprises an AI camera, two fixed monitoring points, a mobile monitoring point and a monitoring label; the movable monitoring points are arranged at the middle upper part of the side slope, the two fixed monitoring points are arranged at the bottom of the side slope, and the two fixed monitoring points and the movable monitoring point form a triangular structure; the monitoring label is arranged on the mobile monitoring point; the AI camera is arranged on the other side of the roadbed, and a lens of the AI camera is over against the monitoring tag and can shoot an image of the monitoring tag; the alarm is arranged on the AI camera; the wireless monitoring device comprises a wireless transmission assembly and an intelligent terminal which are in wireless connection; the wireless transmission assembly is installed on the AI camera and is connected with the AI camera and the alarm respectively. The intelligent landslide monitoring device is efficient and low in cost.
Description
Technical Field
The utility model relates to an AI monitoring device, in particular to landslide early warning equipment and a landslide early warning system based on AI videos.
Background
The landslide is a sliding geological phenomenon of a slope rock-soil body along a through shear failure surface, however, the landslide is extremely harmful, and therefore some landslide monitoring means need to be adopted. A common method for monitoring at present is to arrange a series of sensors (e.g. static level, fixed inclinometer monitoring, geogrid strain gauge, surface crack gauge) on the landslide for monitoring displacement deformation, stress strain, cracks and the like. However, the existing monitoring method has the following problems in use:
1. the existing monitoring method has high precision, but has high cost, and the cost is hundreds of thousands or even millions.
2. Still other sensors can damage pathogens and accelerate landslides when deployed.
3. The existing monitoring method is not beneficial to positioning of landslide sites on the GIS.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem of providing landslide early warning equipment based on AI video aiming at the defects of the prior art.
In order to solve the technical problems, the utility model adopts the technical scheme that:
a landslide early warning device based on AI video is used for monitoring the displacement of a side slope on one side of a roadbed and comprises a side slope slippage monitoring device, an alarm and a wireless monitoring device; the slope slippage monitoring device comprises an AI camera, two fixed monitoring points, a mobile monitoring point and a monitoring label; the movable monitoring points are arranged at the middle upper part of the side slope, the two fixed monitoring points are arranged at the bottom of the side slope, and the two fixed monitoring points and the movable monitoring point form a triangular structure; the monitoring label is arranged on the mobile monitoring point; the AI camera is arranged on the other side of the roadbed, and a lens of the AI camera is over against the monitoring tag and can shoot an image of the monitoring tag; the alarm is arranged on the AI camera; the wireless monitoring device comprises a wireless transmission assembly and an intelligent terminal which are in wireless connection; the wireless transmission assembly is installed on the AI camera and is connected with the AI camera and the alarm respectively.
As a further preferred aspect of the present invention, the monitoring tag is a two-dimensional code.
As a further preferred aspect of the present invention, the AI camera incorporates an AI image recognition module and an edge calculation module.
As a further preferred aspect of the present invention, the AI image recognition module is an intelligent cloud recognition system.
As a further preferred option of the utility model, a Beidou satellite positioning module is also arranged in the AI camera.
As a further preferred aspect of the present invention, the intelligent terminal is a cloud system, a smart phone, a computer, or an IPAD.
As a further preferred aspect of the present invention, the alarm is an audible and visual alarm.
Through the technical scheme, compared with the prior art, the utility model has the following beneficial effects:
1. the device is convenient to operate and low in cost, and can achieve the monitoring effect quickly and efficiently.
2. The device is convenient and quick to operate, and can not damage the slope pathogen.
3. This device makes the landslide combine together with picture, video, big dipper satellite geographical positioning, and convenient the traceability does benefit to follow-up maintenance and consolidates the operation.
Drawings
Fig. 1 shows a schematic diagram of an AI video-based landslide warning device in the present application.
Among them are: an AI camera; 3. an AI image recognition module; 4. a wireless transmission component; 5. fixing a monitoring point; 6. monitoring the tag; 7. a Beidou satellite geographic positioning module; 8. an alarm; 9. an intelligent terminal; 10. moving a monitoring point; 11. and (7) roadbed.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific preferred embodiments.
In the description of the present invention, it is to be understood that the terms "left side", "right side", "upper part", "lower part", etc., indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and that "first", "second", etc., do not represent an important degree of the component parts, and thus are not to be construed as limiting the present invention. The specific dimensions used in the present example are only for illustrating the technical solution and do not limit the scope of protection of the present invention.
As shown in fig. 1, a landslide early warning device based on AI video is used for monitoring the displacement of a side slope on one side of a roadbed, and comprises a side slope slip monitoring device, an alarm and a wireless monitoring device; the slope slippage monitoring device comprises an AI camera, two fixed monitoring points, a mobile monitoring point and a monitoring label; the movable monitoring points are arranged at the middle upper part of the side slope, the two fixed monitoring points are arranged at the bottom of the side slope, and the two fixed monitoring points and the movable monitoring point form a triangular structure; the monitoring label is arranged on the mobile monitoring point; the AI camera is arranged on the other side of the roadbed, and a lens of the AI camera is over against the monitoring tag and can shoot an image of the monitoring tag; the alarm is arranged on the AI camera; the wireless monitoring device comprises a wireless transmission assembly and an intelligent terminal which are in wireless connection; the wireless transmission assembly is installed on the AI camera, and is connected with AI camera and alarm respectively, and intelligent terminal is high in the clouds system, smart mobile phone, computer or IPAD etc..
The monitoring label is a mark of a special image, such as a two-dimensional code, and an image with a special color can be set, so that the accuracy and the efficiency of identification of the mobile monitoring point are improved.
And a Beidou satellite positioning module is also arranged in the AI camera, so that positioning is performed when landslide occurs, and the positioning is transmitted to the intelligent terminal through a wireless transmission assembly.
The alarm is preferably an audible and visual alarm; when the vehicle is on a landslide, the camera takes a picture and sends out an ear-piercing alarm sound and an explosion flashing light to inform passing vehicles and personnel to avoid danger.
An AI image recognition module is arranged in the intelligent terminal, and the AI image recognition module preferably comprises an AI model trained by an Baidu easy DL platform.
The operation principle of the embodiment is as follows:
1. at first, the AI camera shoots a slope picture and transmits the slope picture to the intelligent terminal through the wireless transmission component.
2. Then an intelligent terminal AI image recognition module scans and recognizes the monitoring label in the landslide area, a moving monitoring point at the middle upper part of the side slope and two fixed points form a triangle, the relative positions of the three points are calibrated by utilizing the image scale function of the AI image recognition module, and the area of the triangle or the change of the included angle of the moving monitoring point is calculated.
And if the change of the included angle of the monitoring point or the change of the area of the triangle is larger than a threshold value, sending a mail and a short message to inform a landslide manager to dredge traffic in time and process subsequent landslide reinforcement matters, and marking the geographic position on a GIS map.
3. Then the alarm information is transmitted to the AI camera, and the alarm gives out an ear-piercing alarm sound and an explosion flashing light to inform passing vehicles and personnel to avoid danger.
Although the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the details of the embodiments, and various equivalent modifications may be made to the technical solution of the present invention within the technical spirit of the present invention, and these equivalent modifications are included in the present invention.
Claims (5)
1. The utility model provides a landslide early warning equipment based on AI video for the displacement of monitoring road bed one side slope, its characterized in that: the monitoring device comprises a slope slippage monitoring device, an alarm and a wireless monitoring device;
the slope slippage monitoring device comprises an AI camera, two fixed monitoring points, a mobile monitoring point and a monitoring label;
the movable monitoring points are arranged at the middle upper part of the side slope, the two fixed monitoring points are arranged at the bottom of the side slope, and the two fixed monitoring points and the movable monitoring point form a triangular structure;
the monitoring label is arranged on the mobile monitoring point;
the AI camera is arranged on the other side of the roadbed, and a lens of the AI camera is over against the monitoring tag and can shoot an image of the monitoring tag;
the alarm is arranged on the AI camera;
the wireless monitoring device comprises a wireless transmission assembly and an intelligent terminal which are in wireless connection; the wireless transmission assembly is installed on the AI camera and is connected with the AI camera and the alarm respectively.
2. The AI video-based landslide warning device of claim 1, wherein: the monitoring label is a two-dimensional code.
3. The AI video-based landslide warning device of claim 1, wherein: and a Beidou satellite positioning module is arranged in the AI camera.
4. The AI video-based landslide warning device of claim 1, wherein: the intelligent terminal is a cloud system, a smart phone, a computer or an IPAD.
5. The AI video-based landslide warning device of claim 1, wherein: the alarm is a sound-light alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120744928.6U CN215447901U (en) | 2021-04-13 | 2021-04-13 | Landslide early warning device based on AI video |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120744928.6U CN215447901U (en) | 2021-04-13 | 2021-04-13 | Landslide early warning device based on AI video |
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| Publication Number | Publication Date |
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| CN215447901U true CN215447901U (en) | 2022-01-07 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202120744928.6U Expired - Fee Related CN215447901U (en) | 2021-04-13 | 2021-04-13 | Landslide early warning device based on AI video |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114495436A (en) * | 2022-02-17 | 2022-05-13 | 广东省有色矿山地质灾害防治中心 | Dynamic monitoring method and early warning system in high slope construction process |
| CN117095511A (en) * | 2023-07-14 | 2023-11-21 | 长江生态环保集团有限公司 | Simple side slope and trench pre-collapse safety early warning device and method |
-
2021
- 2021-04-13 CN CN202120744928.6U patent/CN215447901U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114495436A (en) * | 2022-02-17 | 2022-05-13 | 广东省有色矿山地质灾害防治中心 | Dynamic monitoring method and early warning system in high slope construction process |
| CN117095511A (en) * | 2023-07-14 | 2023-11-21 | 长江生态环保集团有限公司 | Simple side slope and trench pre-collapse safety early warning device and method |
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Granted publication date: 20220107 |
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| CF01 | Termination of patent right due to non-payment of annual fee |