CN212256331U - Falling area identification system - Google Patents
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- CN212256331U CN212256331U CN202021519266.4U CN202021519266U CN212256331U CN 212256331 U CN212256331 U CN 212256331U CN 202021519266 U CN202021519266 U CN 202021519266U CN 212256331 U CN212256331 U CN 212256331U
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Abstract
The utility model provides a water-level-fluctuating zone identification system, which comprises an unmanned aerial vehicle and a ground station in communication connection with the unmanned aerial vehicle, wherein the unmanned aerial vehicle is loaded with an embedded controller and a power supply, a geographical position sensor, an ultrasonic sensor, an image sensor, a laser radar and a wireless communication module which are electrically connected with the embedded controller; the wireless communication module is used for sending the information collected by the sensor to the ground station through a wireless communication network, and the ground station is used for receiving the information through communication equipment, processing the information to obtain geographical position information and landform information of the hydro-fluctuation area, and controlling the unmanned aerial vehicle to fly on a planned path. The utility model discloses utilize unmanned aerial vehicle, various sensor and big data technology, can effectual solution falling zone's identification problem, the precision is high, information is abundant and labour saving and time saving.
Description
Technical Field
The utility model relates to a falling area discernment technical field specifically is a falling area identification system.
Background
The hydro-fluctuation area is a dry-wet alternate zone formed by periodically submerging land at the land and water connection part along with seasonal fluctuation of water bodies such as reservoirs, rivers, lakes and the like; as a buffer zone between a water body and a land bank, the ecological water-retaining ecological water.
At present, the largest hydro-fluctuation area in China is the hydro-fluctuation area of the three gorges reservoir, and the three gorges reservoir forms the largest area in the world (about 348.9 km) on two sides of the reservoir area according to the water level operation mode of low summer and high winter2) The maximum fall (between the elevation heights of 145-175m and the vertical distance of 30m) is opposite to the natural river fluctuation season, and the water-level-fluctuating river.
The hydro-fluctuation area is a connecting link between a water area and a land area. The formation of the hydro-fluctuation area of the three gorges reservoir can cause a series of ecological and environmental problems, such as large change of environmental conditions, difficult vegetation growth and fragile ecology in the hydro-fluctuation area; leaching out residual harmful substances in the submerged soil, wherein non-point source pollution may be generated by seasonal cultivation in gentle slope areas, and the water quality of the reservoir is influenced; the retention of contaminants in the hydro-fluctuation zone may also induce epidemic diseases and the like. Therefore, the ecological and environmental problems in the hydro-fluctuation area of the three gorges reservoir are highly valued by the relevant national departments and are paid extensive attention by all social circles.
Before studying the ecological environment problem of the hydro-fluctuation area, the hydro-fluctuation, weather, soil, vegetation, resident distribution and other data of the hydro-fluctuation area need to be collected, wherein the data comprises the collection and identification of the geographic information of the hydro-fluctuation area.
The traditional method for identifying the falling area is to identify the falling area through remote sensing information. One disadvantage of this approach is that the error is large. Because the width of the falling area is about dozens of meters or even narrower, and the precision of the remote sensing data can reach about several meters, the error of more than ten percent can be easily caused; in addition, remote sensing data is likely to be lacked in high water level and low water level all the year round, and the error of the identification result of the falling area is further enlarged. When the precision error is very large, the landform and the category of the falling area cannot be acquired, and the effective value of the information is very low.
SUMMERY OF THE UTILITY MODEL
In order to solve the above-mentioned problem that prior art exists, the utility model provides a district identification system disappears utilizes unmanned aerial vehicle, various sensor and big data technology, can effectual solution district's that disappears recognition problem, and the precision is high, information abundance and labour saving and time saving.
A hydro-fluctuation area identification system comprises an unmanned aerial vehicle and a ground station in communication connection with the unmanned aerial vehicle, wherein the unmanned aerial vehicle is loaded with an embedded controller, and a power supply, a geographical position sensor, an ultrasonic sensor, an image sensor, a laser radar and a wireless communication module which are electrically connected with the embedded controller; the power supply is connected with the embedded controller and is used for providing working power supply for each equipment component; the geographical position sensor is used for acquiring geographical position coordinate information of the falling area, and the ultrasonic sensor is used for acquiring peripheral objects of the unmanned aerial vehicle; the image sensor is used for acquiring an image of the falling area; the infrared sensor is used for acquiring infrared remote sensing information of the falling area; the laser radar is used for acquiring ground three-dimensional information of the falling area; the wireless communication module is used for sending the information to the ground station through a wireless communication network.
Furthermore, the geographic position sensor adopts a GPS chip or a Beidou chip.
Further, the image sensor adopts a high-resolution camera.
The utility model utilizes the cooperation of the unmanned aerial vehicle and the geographic position sensor, and can acquire the geographic position information of the high-precision falling area; the geographical position and the area range of the falling area can be more accurately identified by combining various sensors such as an image sensor, an infrared sensor and the like; by adopting an image three-dimensional reconstruction technology and a laser radar sensor, the landform characteristics of the hydro-fluctuation area can be accurately identified; the automatic acquisition of the information of the hydro-fluctuation area can be carried out under the control of the ground station, and time and labor are saved.
Drawings
Fig. 1 is a schematic structural diagram of one embodiment of the identification system of the falling area of the present invention;
fig. 2 is an image recognition example of the boundary line of the falling area of the present invention;
fig. 3 is the utility model discloses falling zone boundary line infrared remote sensing image recognition example.
In the figure: 10-unmanned aerial vehicle, 11-embedded controller, 12-power, 13-geographical position sensor, 14-ultrasonic sensor, 15-image sensor, 16-image sensor, 17-laser radar, 18-wireless communication module, 20-ground station.
Detailed Description
The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings.
Fig. 1 shows the structure diagram of one of the embodiments of the identification system of the falling area of the present invention, the identification system of the falling area includes an unmanned aerial vehicle 10 and a ground station 20 in communication connection with the unmanned aerial vehicle 10. The unmanned aerial vehicle 10 is loaded with an embedded controller 11, and a power supply 12, a geographic position sensor 13, an ultrasonic sensor 14, an image sensor 15, an image sensor 16, a laser radar 17 and a wireless communication module 18 which are electrically connected with the embedded controller 11.
The power supply 12 is connected with the embedded controller 11 and is used for providing working power supply for each equipment component; the geographical position sensor 12 is used for acquiring geographical position coordinate information of a falling area, and the ultrasonic sensor 14 is used for acquiring objects around the unmanned aerial vehicle 10; the image sensor 15 is used for acquiring an image of the falling area; the infrared sensor 16 is used for collecting infrared remote sensing information of the falling area; the laser radar 17 is used for acquiring ground three-dimensional information of the falling area; the wireless communication module 18 is used for sending the information to the ground station 20 through a wireless communication network, and the ground station is used for receiving the information through communication equipment, processing the information to obtain geographical position information and landform information of the hydro-fluctuation area, and controlling the unmanned aerial vehicle to fly on a planned path.
The geographic position sensor 12 can adopt a commercial GPS chip or a Beidou chip and the like in the existing market, and the positioning precision can reach 1 m; the image sensor 15 can adopt a commercial camera with high resolution in the current market, for example, a popular unmanned plane in the current market, the size of the image sensor 15 can reach 4/3 ″, the effective pixel can reach 1600 ten thousand, and the focusing range supports 20 cm-infinity; the infrared sensor 16 can adopt a commercial infrared sensor in the current market, and the longest working distance can reach hundreds of meters; the ultrasonic sensor 14 can be widely applied to the related fields of object monitoring, robot collision prevention, various ultrasonic proximity switches, anti-theft alarm and the like, and has the advantages of reliable work, convenient installation, water resistance, small emission included angle and high sensitivity; the laser radar 17 collects laser information around the falling area and sends the laser information to the ground station 20 through the wireless communication module 18. By processing the pictures of the environment or the object from different angles, a three-dimensional model of the environment or the object can be obtained. The working principle of the laser radar 20 is very similar to that of a radar, laser is used as a signal source, pulse laser emitted by a laser device strikes trees, roads, bridges and buildings on the ground to cause scattering, a part of light waves can be reflected to a receiver of the laser radar 20, the distance from the laser radar 20 to a target point is obtained through calculation according to the laser ranging principle, the pulse laser continuously scans the target object to obtain data of all the target points on the target object, and after the data is used for imaging processing, an accurate three-dimensional image can be obtained. At present, three-dimensional reconstruction based on images and laser radar are widely used, and the combination of the three-dimensional reconstruction and the laser radar can obtain a better three-dimensional reconstruction effect.
The images of the water surface and the land are different, and two landform characteristics can be distinguished through the image recognition technology of a computer. The operator can manually mark two topographical features, water and land, respectively. When the ground station receives new image information, two kinds of landform features can be automatically marked, and automatic image recognition is performed, so that a boundary line between the water surface and the land is obtained, as shown in fig. 2. The same applies to the use of infrared sensors, as shown in fig. 3, which is an example of the recognition of infrared remote sensing images of the boundary lines of the falling areas.
The method specifically comprises the following steps of acquiring geographical position information and landform information of the hydro-fluctuation area:
when the falling area identification system is at the highest water level, the unmanned aerial vehicle 10 executes an information acquisition task to the falling area; when the reservoir is at the highest water level, the ground station 20 is informed to start a hydro-fluctuation area identification task;
when the falling area identification system is at the lowest water level, the unmanned aerial vehicle 10 performs an information acquisition task on a falling area; when the reservoir is at the lowest water level, the ground station 20 is informed to start a hydro-fluctuation area identification task;
the ground station 20 obtains the geographical position information and the geomorphic information of the hydro-fluctuation area by analyzing and comparing the geographical position information and the geomorphic information of the two tasks.
The utility model utilizes the cooperation of the unmanned aerial vehicle and the geographic position sensor, and can acquire the geographic position information of the high-precision falling area; the geographical position and the area range of the falling area can be more accurately identified by combining various sensors such as an image sensor, an infrared sensor and the like; by adopting an image three-dimensional reconstruction technology and a laser radar sensor, the landform characteristics of the hydro-fluctuation area can be accurately identified; the automatic acquisition of the information of the hydro-fluctuation area can be carried out under the control of the ground station, and time and labor are saved.
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. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (3)
1. A fall-away area identification system, characterized by: the system comprises an unmanned aerial vehicle and a ground station in communication connection with the unmanned aerial vehicle, wherein the unmanned aerial vehicle is loaded with an embedded controller, and a power supply, a geographical position sensor, an ultrasonic sensor, an image sensor, a laser radar and a wireless communication module which are electrically connected with the embedded controller; the power supply is connected with the embedded controller and is used for providing working power supply for each equipment component; the geographical position sensor is used for acquiring geographical position coordinate information of the falling area, and the ultrasonic sensor is used for acquiring peripheral objects of the unmanned aerial vehicle; the image sensor is used for acquiring an image of the falling area; the infrared sensor is used for acquiring infrared remote sensing information of the falling area; the laser radar is used for acquiring ground three-dimensional information of the falling area; the wireless communication module is used for sending the information to the ground station through a wireless communication network.
2. A fall-zone identification system according to claim 1, wherein: the geographic position sensor adopts a GPS chip or a Beidou chip.
3. A fall-zone identification system according to claim 1, wherein: the image sensor adopts a high-resolution camera.
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| CN202021519266.4U CN212256331U (en) | 2020-07-28 | 2020-07-28 | Falling area identification system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111860402A (en) * | 2020-07-28 | 2020-10-30 | 长江勘测规划设计研究有限责任公司 | System and method for identifying falling area |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111860402A (en) * | 2020-07-28 | 2020-10-30 | 长江勘测规划设计研究有限责任公司 | System and method for identifying falling area |
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