CN211043226U - Landslide early warning system - Google Patents
Landslide early warning system Download PDFInfo
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- CN211043226U CN211043226U CN201921642491.4U CN201921642491U CN211043226U CN 211043226 U CN211043226 U CN 211043226U CN 201921642491 U CN201921642491 U CN 201921642491U CN 211043226 U CN211043226 U CN 211043226U
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Abstract
The utility model provides a landslide early warning system, including unmanned aerial vehicle and the landslide early warning platform installed on unmanned aerial vehicle, landslide early warning platform includes embedded processing equipment and aerial photography equipment, GPS positioning equipment, power, time lapse telegram method detecting system that are connected with embedded processing equipment, aerial photography equipment is used for shooing and making a video recording to the work area, obtain the photo and the video of work area; the time-shifting electrical method detection system is used for deploying two electrical measurement sensors at a set detection point and measuring the resistivity of a working area through the unmanned aerial vehicle according to a working area GPS coordinate set by a ground station, and analyzing landslide risk results according to photos, videos and the resistivity of the working area. The utility model discloses a time lapse method detection system that unmanned aerial vehicle disposed optimization can cover the region that ordinarily relies on the manpower to be difficult to dispose the sensor such as remote or mountain height abrupt slope, also can combine image recognition's technique, fuses the advantage of above-mentioned method, improves early warning work efficiency.
Description
Technical Field
The utility model relates to a landslide early warning field specifically is a landslide early warning system.
Background
The landslide is a natural phenomenon that soil or rock mass on a slope slides downwards along the slope integrally or dispersedly under the action of gravity along a certain weak surface or a weak zone under the influence of factors such as river scouring, underground water activity, rainwater immersion, earthquake, artificial slope cutting and the like.
Landslide involves many problems such as environmental geology, hydrogeology, and engineering geology. At present, landslide early warning is achieved through manual inspection, sensors are deployed and laid in landslide areas, and image recognition is conducted on the landslide areas. In practice, the above methods each have drawbacks that are difficult to overcome. For example, a manual inspection mode needs to consume a large amount of manpower and material resources, generally, blind areas are large, efficiency is low, and early warning time is short; sensors are deployed in a landslide area only aiming at key points and a few areas, and are difficult to deploy in a large number of remote or mountain-high steep slopes; the mode of image recognition on the landslide area is not mature, and the early warning is difficult due to difficult modeling or insufficient image precision.
The time-shifting electrical method is an indirect geophysical exploration means, and the basic principle of detection is that direct current is supplied to the underground through a power supply electrical measurement sensor on a construction surface to form an artificial electric field, then the distribution condition of the electric field is observed through an instrument by utilizing the measurement electrical measurement sensor, and the electric field change caused by different hidden dangers is researched. Under ideal conditions, the construction surface can be regarded as a homogeneous body, the resistivity of the homogeneous body does not change greatly in the vertical and horizontal directions, and the electric field is distributed uniformly; when the construction surface has hidden danger such as landslide risk, the homogeneous body is damaged, the electric field distribution is changed, the change of the observed resistivity at the hidden danger position is reflected, and the nature, the position and the burial depth of the hidden danger can be deduced by combining the material property, the geological condition and the like of the construction surface.
The traditional time-shift electrical detection system comprises an electrical measurement sensing converter, a multifunctional electrical measuring instrument, a plurality of electrical measurement sensors and an electrical measuring line, as shown in figure 1. The electric measuring sensors are arranged on the measuring surface at equal intervals, a plurality of electric measuring sensors form an electric measuring line, and the electric measuring line is connected with the electric measuring sensing converter through an electric measuring sensing cable. The traditional time-lapse electroscopic detection system needs to deploy a plurality of electric measuring sensors and a plurality of electric measuring lines. On some hills with steep slopes and difficult deployment landslide surfaces, manpower is difficult to reach or limited, and the time-shift electric method detection system is difficult to deploy.
SUMMERY OF THE UTILITY MODEL
The aforesaid that exists to prior art is not enough, the utility model provides a landslide early warning system deploys the time lapse method detection system of optimizing through unmanned aerial vehicle, can save a large amount of manpowers, cable and sensor, can cover the region that ordinarily relies on the manpower to be difficult to deploy the sensor such as remote or mountain height abrupt slope, also can combine image recognition's technique, fuses the advantage of above-mentioned method, solves the problem and the hidden danger of above-mentioned method, improves early warning work efficiency.
A landslide early warning system comprises an unmanned aerial vehicle and a landslide early warning platform installed on the unmanned aerial vehicle, wherein the landslide early warning platform comprises an embedded processing device, an aerial photography device, a GPS positioning device, a power supply and a time-shifting electrical method detection system, the aerial photography device is used for photographing and shooting a working area to obtain a photo and a video of the working area; the time-shift electrical method detection system is used for deploying two electrical measurement sensors at a set detection point through the unmanned aerial vehicle according to a working area GPS coordinate set by the ground station and measuring the resistivity of the working area; the time-shifting electrical method detection system comprises two electrical measurement sensors, a power supply cable and resistance acquisition equipment, wherein the two electrical measurement sensors are connected with the power supply cable and the resistance acquisition equipment when working, a power supply supplies working power to the two electrical measurement sensors through the power supply cable under the control of the embedded processing equipment, and the resistance acquisition equipment is used for acquiring voltage and current between the two electrical measurement sensors, so that resistivity between the two electrical measurement sensors is acquired, and measured resistivity data is transmitted to the embedded processing equipment.
Further, unmanned aerial vehicle includes the unmanned aerial vehicle organism, unmanned aerial vehicle organism below is equipped with the support of two downward settings, and two electricity survey the sensor and install respectively on two supports, and two electricity survey between the sensor apart from 1 ~ 2 meters.
Furthermore, the electric measuring sensor is T-shaped, and the lower part of the electric measuring sensor is in a sharp cone shape.
Further, the shell of the electric measuring sensor is made of lead alloy.
The utility model discloses an unmanned aerial vehicle deploys an optimized time shift electrical method detecting system, and traditional time shift electrical method detecting system includes dozens of electricity and surveys sensor and many cables, and every cable is long to reach tens of meters, and is very heavy, and traditional time shift electrical method detecting system needs artifical deployment moreover, and measuring equipment is very many, and it is very heavy to deploy work; and the utility model discloses time lapse electric method detecting system that optimizes only need dispose a 1m ~ 2 m's cable and two electricity and survey the sensor, can save a large amount of measuring equipment and can save a large amount of manpowers, cable and sensor, can cover the region that ordinarily relies on the manpower to be difficult to dispose the sensor such as remote or mountain height abrupt slope, also can combine image recognition's technique, fuse the advantage of above-mentioned method, solve the problem and the hidden danger of above-mentioned method, improve early warning work efficiency, can be used to scenes such as landslide, reservoir bank collapse.
Drawings
FIG. 1 is a block diagram of a conventional time-lapse electroscopic detection system deployment;
Fig. 2 is a schematic structural diagram of the landslide early warning system of the present invention;
Fig. 3 is a schematic block circuit diagram of the medium-time shift interferometry detection system of the present invention;
FIG. 4 is a schematic diagram of two electrical measurement sensors according to the present invention;
Fig. 5 is a detection flow chart of the time shift method detection system according to the present invention;
Fig. 6 is a layout diagram of measuring points of the medium-time shift interferometry detection system of the present invention.
In the figure: 1-unmanned aerial vehicle, 2-embedded processing equipment, 3-aerial photography equipment, 4-GPS positioning device, 5-power, 6-time lapse electrometric method detecting system, 11-unmanned aerial vehicle organism, 12-support, 61-electricity survey sensor A, 62-electricity survey sensor B, 63-power supply cable, 64-resistance collection equipment.
Detailed Description
The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 2, the embodiment of the utility model provides a landslide early warning system, include unmanned aerial vehicle 1 and install in with unmanned aerial vehicle on 1 landslide early warning platform, landslide early warning platform includes embedded processing apparatus 2 and the aerial photography equipment 3, GPS positioning device 4, power 5, time lapse method detection system 6 of being connected with embedded processing apparatus 2. The unmanned aerial vehicle 1 takes pictures and photographs of a working area through the aerial photography equipment 3 to obtain pictures and videos of the working area; the time-shift electrical method detection system 6 is used for deploying two electrical measurement sensors (61, 62) at set detection points and measuring the resistivity of a working area through the unmanned aerial vehicle 1 according to a working area GPS coordinate set by the ground station, and performing landslide risk result analysis according to pictures and videos obtained by the aerial photography equipment 3 and the resistivity of the working area obtained by the time-shift electrical method detection system 6. The landslide risk result analysis part can be realized by the embedded processing equipment 2, and the communication module on the unmanned aerial vehicle 1 can also transmit the photos and videos obtained by the aerial photography equipment 3 and the data such as the resistivity of the working area obtained by the time-shift electrical method detection system 6 back to the background system.
As shown in fig. 3, the time-lapse electrical prospecting system comprises two electrical prospecting sensors 61 and 62 (i.e. an electrical prospecting sensor a and an electrical prospecting sensor B), a power supply cable 63 and a resistance collecting device 64, wherein the two electrical prospecting sensors (61 and 62) are connected with the power supply cable 63 and the resistance collecting device 64 when working, the power supply 5 supplies working power to the two electrical prospecting sensors (61 and 62) through the power supply cable 63 under the control of the embedded processing device 2, and the resistance collecting device 64 is used for collecting voltage and current between the two electrical prospecting sensors (61 and 62), so as to obtain the resistivity between the two electrical prospecting sensors (61 and 62) and transmit the measured resistivity data to the embedded processing device 2.
The hardware structure that unmanned aerial vehicle disposed the electricity and measures the sensor is shown in fig. 4, and unmanned aerial vehicle organism 11 below is equipped with two supports 12 that set up downwards, and two electricity are surveyed sensor (61, 62) and are installed respectively on two supports 12, and about 1 ~ 2 meters apart from between two electricity are surveyed sensor (61, 62), do not need frequently to install or uninstall. The electric measuring sensors (61 and 62) are T-shaped, so that the electric measuring sensors are convenient to clamp, and the lower parts of the electric measuring sensors are in a sharp cone shape, so that the electric measuring sensors are convenient to insert into soil. The casing of the electric measuring sensors (61, 62) is made of lead alloy, is hard and not easy to corrode, and can be in the form of dipole-dipole, symmetrical quadrupole, tripolar and the like. In order to ensure that the electrical measuring sensor is inserted only to a predetermined depth of 20cm into the detection surface, it is conceivable to provide a protective device at a position 20cm above the sensor.
The landslide early warning system is adopted to carry out landslide early warning, and comprises the following steps:
Firstly, taking pictures and shooting a work area through aerial photography equipment 3 carried by an unmanned aerial vehicle 1 to obtain pictures and videos of the work area;
Step two, detecting the resistivity of the working area through a time-shifting electrical method detection system 6 carried by the unmanned aerial vehicle 1 to obtain the resistivity of the working area, wherein the step two can be carried out while photographing and shooting the working area in the step one, as shown in fig. 5, the specific detection steps are as follows:
1) An operator sets a working area GPS coordinate through a ground station in a manual operation or automatic setting mode, sets a plurality of detection points which are distributed in a matrix mode and are provided with a plurality of rows and a plurality of columns, as shown in fig. 6, in actual operation, 5 rows or 5 columns can be arranged, each row is distributed in parallel, each column is distributed in parallel, and each row is on a straight line.
2) The unmanned aerial vehicle 1 sets up the GPS coordinate of the working area according to the ground station, choose a detection point of a certain row or a certain column, dispose two electric measuring sensors (61, 62) on the detection point, the electric measuring sensor (61, 62) is connected through the power supply cable 63, the electric measuring sensor is all on the above-mentioned straight line, keep aligning, facilitate the data comparison like this;
During specific arrangement, the unmanned aerial vehicle 1 stops on the ground of a detection point, and the support 12 of the unmanned aerial vehicle 1 contacts the ground; the drone 1 inserts the electrical measuring sensors (61, 62) into the earth, approximately 20cm deep, using gravity, or starting the propellers to apply pressure in reverse.
3) The unmanned aerial vehicle 1 starts the power supply 5 through the embedded processing equipment 2, supplies power to the two electric measuring sensors (61, 62) through the power supply cable 63 so as to start the two electric measuring sensors (61, 62) to start data measurement, and also can start a timer at the same time;
4) The unmanned aerial vehicle 1 acquires voltage and current between the two electric measurement sensors (61 and 62) through the resistance acquisition device 64 so as to acquire resistivity between the two electric measurement sensors (61 and 62), and the resistance acquisition device 64 transmits the measured resistivity back to the embedded processing device 2; if the measurement is successful or the timer times out, the propeller is started to start the next measurement or return.
5) And repeating the steps 2) to 4) until all the detection points in the matrix are measured.
And thirdly, analyzing landslide risk results according to the pictures and videos of the working area obtained in the first step and the resistivity of the working area obtained in the second step.
The landslide risk result analysis in the third step comprises the following specific steps:
(a) And (4) carrying out landslide risk judgment by an operator by adopting a manual identification or image identification technology according to the pictures and videos of the working area obtained in the step one. The operator can observe the real-time image in real time to judge the landslide risk, or the computer automatically compares the pictures at the same position and at different times to identify the change, so that the landslide risk is automatically judged.
(b) And D, obtaining a time-shifting resistivity chromatographic chart of the working area along with the change of the resistivity at different time points according to the resistivity change of the working area obtained in the step two, and identifying and dynamically tracking the landslide risk according to the resistivity chromatographic chart. And obtaining the resistivity data of one electrical measuring surface after all the detecting points are measured each time. And performing two-dimensional inversion on the resistivity data, performing iteration, fitting and inversion for multiple times on two-dimensional inversion results of different time points to obtain the contour line variation trend of the resistivity data of a single electrical logging surface, and then performing regularization processing on the space dimension and the time dimension on the contour line variation trends of a plurality of electrical logging surfaces to obtain automatic imaging of the time-shifting resistivity tomogram of the detection surface.
The utility model combines the advantages of two methods of image recognition and optimized time shift electrical method detection system, which can utilize the advantages of rapidness and convenience of image recognition method, and the advantages of high detection efficiency and high precision of an optimized time shift electrical method detection system, can realize the accurate positioning of hidden danger, make up for the deficiencies of the hidden danger, and greatly improve the early warning efficiency and quality of landslide; a large amount of manpower, cables and sensors can be saved, the remote or mountain-high and steep slope regions and other regions which are difficult to deploy sensors by manpower ordinarily can be covered, and the labor cost is saved; install the electricity and survey the sensor on unmanned aerial vehicle's the support, need not frequently install and uninstallation, use manpower sparingly and the cost.
The utility model discloses can set for automatic mode and carry out work to regulation work area, or the manual operation mode carries out work to key or key region.
The above description is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are all covered by the protection scope of the present invention.
Claims (4)
1. A landslide early warning system, comprising: the landslide early warning platform comprises an unmanned aerial vehicle (1) and a landslide early warning platform arranged on the unmanned aerial vehicle (1), wherein the landslide early warning platform comprises an embedded processing device (2), an aerial photography device (3) connected with the embedded processing device (2), a GPS (global positioning system) positioning device (4), a power supply (5) and a time-shifting electric method detection system (6), and the aerial photography device (3) is used for taking pictures and shooting pictures of a working area to obtain pictures and videos of the working area; the time-shifting electrical method detection system (6) is used for deploying two electrical measurement sensors (61, 62) at a set detection point through the unmanned aerial vehicle (1) according to a working area GPS coordinate set by the ground station and measuring the resistivity of the working area; the time-shifting electrical method detection system comprises two electrical measurement sensors (61 and 62), a power supply cable (63) and resistance acquisition equipment (64), wherein the two electrical measurement sensors (61 and 62) are connected with the power supply cable (63) and the resistance acquisition equipment (64) when working, a power supply (5) supplies working power to the two electrical measurement sensors (61 and 62) through the power supply cable (63) under the control of embedded processing equipment (2), and the resistance acquisition equipment (64) is used for acquiring voltage and current between the two electrical measurement sensors (61 and 62), so that the resistivity between the two electrical measurement sensors (61 and 62) is acquired, and measured resistivity data is transmitted to the embedded processing equipment (2).
2. The landslide warning system of claim 1 wherein: unmanned aerial vehicle (1) includes unmanned aerial vehicle organism (11), unmanned aerial vehicle organism (11) below is equipped with support (12) of two downward settings, and two electricity survey sensor (61, 62) and install respectively on two support (12), and two electricity survey between sensor (61, 62) apart from 1 ~ 2 meters.
3. The landslide warning system of claim 1 wherein: the electrical measuring sensors (61, 62) are T-shaped, and the lower part is in a sharp cone shape.
4. The landslide warning system of claim 1 wherein: the housing of the electrical measuring sensor (61, 62) is made of lead alloy.
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| CN201921642491.4U CN211043226U (en) | 2019-09-29 | 2019-09-29 | Landslide early warning system |
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| CN201921642491.4U CN211043226U (en) | 2019-09-29 | 2019-09-29 | Landslide early warning system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110542708A (en) * | 2019-09-29 | 2019-12-06 | 长江勘测规划设计研究有限责任公司 | landslide early warning system and method |
| CN114022765A (en) * | 2021-11-03 | 2022-02-08 | 应急管理部国家自然灾害防治研究院 | Intelligent monitoring and early warning method and system for landslide, collapse and rockfall by adopting image recognition |
| CN115079297A (en) * | 2022-06-29 | 2022-09-20 | 生态环境部南京环境科学研究所 | Water source detection device for underground water source detection |
-
2019
- 2019-09-29 CN CN201921642491.4U patent/CN211043226U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110542708A (en) * | 2019-09-29 | 2019-12-06 | 长江勘测规划设计研究有限责任公司 | landslide early warning system and method |
| CN114022765A (en) * | 2021-11-03 | 2022-02-08 | 应急管理部国家自然灾害防治研究院 | Intelligent monitoring and early warning method and system for landslide, collapse and rockfall by adopting image recognition |
| CN115079297A (en) * | 2022-06-29 | 2022-09-20 | 生态环境部南京环境科学研究所 | Water source detection device for underground water source detection |
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