CN114295111A - Land survey planning method and system based on unmanned aerial vehicle - Google Patents
Land survey planning method and system based on unmanned aerial vehicle Download PDFInfo
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Abstract
The application relates to a land survey planning method based on an unmanned aerial vehicle, which comprises the steps of S1, obtaining land information, and generating a landform map according to the land information after the land information sent back by the unmanned aerial vehicle is obtained; s2, dividing regions, dividing the generated landform map into a plurality of region grids with the same area according to the division information selected by the planning designer, wherein each region grid contains land information in the region grid; and S3, planning the areas, screening the area lattices which meet the requirements of the planning information according to the corresponding land information in each area lattice after the planning information selected by the planning designer is obtained, and generating prompt information. The method and the device have the advantages that the working efficiency of planning and designing personnel is greatly improved; compared with manual work, the accuracy of data analysis and arrangement is improved.
Description
Technical Field
The application relates to the field of land survey, in particular to a land survey planning method and system based on an unmanned aerial vehicle.
Background
At present, land survey is a technology for planning and designing engineering construction and administrative management by taking a computer technology, a photoelectric technology, a network communication technology, space science and information science as the basis, taking a Global Positioning System (GPS), Remote Sensing (RS) and a Geographic Information System (GIS) as the technical core, and obtaining the graph and position information reflecting the current situation of the ground from the existing characteristic points and boundary lines of the ground through a measuring means.
In view of the above-mentioned related art, the inventors found that the following drawbacks exist: after a planning designer acquires the image and the position information of the land to be planned through the unmanned aerial vehicle, the planning designer needs to spend much time and energy to analyze and collate the acquired land information to make a better planning scheme due to the relatively complex landform of part of the land; the whole analysis and sorting period is long, and more labor is needed.
Disclosure of Invention
In order to solve the problem that in land surveying, a planning designer needs to spend more time and energy to analyze and collate acquired land information, the application provides a land surveying and planning method based on an unmanned aerial vehicle.
The application provides a land survey planning method based on unmanned aerial vehicle adopts following technical scheme:
a land survey planning method based on unmanned aerial vehicles comprises the following steps:
s1, land information is obtained, and after the land information sent back by the unmanned aerial vehicle is obtained, a landform map is generated according to the land information;
s2, dividing regions, dividing the generated landform map into a plurality of region grids with the same area according to the division information selected by the planning designer, wherein each region grid contains land information in the region grid;
and S3, planning the areas, screening the area lattices which meet the requirements of the planning information according to the corresponding land information in each area lattice after the planning information selected by the planning designer is obtained, and generating prompt information.
By adopting the technical scheme, after the unmanned aerial vehicle sends back the land information, the corresponding landform map is generated according to the sent back land information, and the land information in the corresponding region grid is conveniently displayed by dividing the landform map into a plurality of region grids with the same area; after the planning information selected by the planning designer is acquired, the area lattices meeting the requirements of the planning information can be screened out according to the corresponding land information in each area lattice, and corresponding prompt information is generated, so that the analysis and arrangement process of the planning designer is saved; according to the screened area lattices which meet the requirements of the planning information, the planning designer can more intuitively and conveniently make a planning scheme, so that the working efficiency of the planning designer is greatly improved; compared with manual work, the accuracy of data analysis and arrangement is improved.
Optionally, the land information includes land flatness, river position, mountain position, and vegetation coverage.
By adopting the technical scheme, as is known, the land with flat ground is more suitable for building houses, and the difficulty and cost of later-stage building can be reduced, so that the land flatness is a large factor which needs to be considered when planning by planning designers; the river position and the mountain position in the area grid have the capability of changing the terrain, the trend of the building is determined by the river position and the mountain position, and the living environment of residents is directly influenced by the river position and the mountain position, so the river position and the mountain position in the area grid are also factors which need to be considered in important when planning by a planning designer; in addition, vegetation coverage is also an important ring for residents to select residential areas, so that the vegetation coverage needs to be included in the planning scope of a planning designer.
Optionally, the planning information includes a basic site, and the basic site includes: parks, houses, factories, and roads; according to different basic sites selected by planning and designing personnel, the land information is provided with priorities corresponding to the basic sites, under the designated basic sites, the regional grids meeting the requirements of the designated basic sites are screened out according to the land information with the highest priority, and prompt information is generated.
By adopting the technical scheme, after a planning designer selects the designated basic site selection, according to the selected basic site selection and the land information with the highest priority, the area grids meeting the requirements of the designated basic site selection are screened out, and prompt information is generated; therefore, the requirements of the planning and designing personnel on different site selection areas can be met, the area lattices required by the planning and designing personnel can be screened out more accurately and purposefully, unnecessary workload is reduced, and the screening efficiency is improved.
Optionally, the planning information further includes a combined address, and the combined address includes: parks and houses, factories and roads, roads and houses.
By adopting the technical scheme, various combination modes are provided, so that the planning requirements of planning designers can be further met, more selection spaces and planning modes are provided for the planning designers, and suitable area lattices can be selected by combining different site selection requirements, so that the planning design work of the planning designers is facilitated.
Optionally, the prompt information is directly displayed on the corresponding area grid, and the prompt information includes a green display area, a yellow display area and a red display area; the green display area represents that the matching degree of the green display area and the planning information is 80% -100%, the yellow display area represents that the matching degree of the yellow display area and the planning information is 60% -79%, and the red display area represents that the matching degree of the red display area and the planning information is lower than 60%.
By adopting the technical scheme, the planning designer can more intuitively observe the matching degree of each area grid by directly displaying the prompt information on the corresponding area grid according to the basic site selection or the combined site selection selected by the planning designer, and when the prompt information of the area grid appears in a green display area, the matching degree of the area grid and the planning information is higher, so that the planning requirement is met; when the prompt message of the area lattice appears in a yellow display area, the matching degree of the area lattice and the planning message is better, and the corresponding planning work in the area lattice can be considered; when the prompt message of the area lattice appears in a red display area, the matching degree of the area lattice and the planning message is poor, and the corresponding planning work in the area lattice is not suggested; the design is more humanized.
Optionally, after the comparison information selected by the planning designer is obtained, comparing the land information of at least two area lattices selected by the planning designer according to the comparison information, and generating a comparison report; the comparison report comprises land flatness difference values, river quantity difference values, mountain height difference values and vegetation coverage difference values of the selected region grids.
By adopting the technical scheme, when a planning designer needs to select the optimal region lattice from a plurality of region lattices meeting the planning requirement, the planning designer can compare two or more designated region lattices, and according to the generated comparison report, the planning designer can more conveniently and intuitively analyze and compare the land flatness difference, the river quantity difference, the mountain height difference and the vegetation coverage difference of the selected region lattices; thereby selecting the best region grid according to the actual situation.
Optionally, the land information further includes a linear distance between each area cell and a peripheral residential area.
By adopting the technical scheme, when a planning designer plans a factory site, whether the factory site selection influences the lives of residents in peripheral residential areas needs to be considered, so that the straight line distance between each area cell and the peripheral residential areas is obtained and is a factor which needs to be considered when the planning designer plans the factory site selection, and therefore land information is further improved.
On the other hand, still provide a land survey planning's equipment based on unmanned aerial vehicle, including:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory
In memory and configured to be executed by the one or more processors, the one or more programs configured to: for performing the above drone-based land survey planning method.
In summary, the present application includes at least one of the following beneficial technical effects:
after the planning information selected by the planning designer is obtained, the area lattices meeting the requirements of the planning information can be screened out according to the corresponding land information in each area lattice, and corresponding prompt information is generated, so that the analysis and arrangement process of the planning designer is saved. The working efficiency of planning and designing personnel is greatly improved; compared with manual work, the accuracy of data analysis and arrangement is improved.
Drawings
Fig. 1 is a schematic step diagram according to a first embodiment of the present application.
Fig. 2 is a frame diagram for highlighting land information in an embodiment of the present application.
Fig. 3 is a block diagram of highlighting planning information according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The present embodiment is only for explaining the present application, and it is not limited to the present application, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The first embodiment is as follows:
the embodiment of the application discloses a land survey planning method based on an unmanned aerial vehicle. Referring to fig. 1 to 3, the land survey planning method based on the unmanned aerial vehicle includes:
s1, land information is obtained, and after the land information sent back by the unmanned aerial vehicle is obtained, a landform map is generated according to the land information;
s2, dividing regions, dividing the generated landform map into a plurality of region grids with the same area according to the division information selected by the planning designer, wherein each region grid contains land information in the region grid;
and S3, planning the areas, screening the area lattices which meet the requirements of the planning information according to the corresponding land information in each area lattice after the planning information selected by the planning designer is obtained, and generating prompt information.
Be provided with the high definition digtal camera that is used for catching ground landform on the unmanned aerial vehicle to be provided with positioning element in the unmanned aerial vehicle, positioning element mainly including two main types: the mobile communication base station positioning module and the GNSS positioning module have the following main functions: firstly, the geographical position of the measuring sensor arranged in the unmanned aerial vehicle is determined, and secondly, the information service related to the position is provided. The base station positioning includes lbs (location Based service) positioning or MPS (Mobile location Services), which is convenient and low in cost, and the Position of the unmanned aerial vehicle can be determined by calculating the signal difference of the signals from the three base stations. In addition, the GNSS positioning is Global Navigation Satellite System positioning, and the existing positioning systems include GPS, beidou, GLONASS, Galileo and the like, and the positioning is accurate and has no blind area. The GNSS positioning and the LBS positioning (or MPS positioning) in this implementation may be compatible and complementary to each other. The unmanned aerial vehicle acquires a landform image by means of aerial triangulation and orthophoto mapping.
Referring to fig. 1 to 3, the land information includes contents of information on land features such as land flatness, river position, mountain position, vegetation coverage, and the like. The land flatness information is obtained according to the percentage of the flat land area in the area grid to the total area of the area grid, the obtained percentage data is compared with a threshold set by a planning designer, and if the obtained percentage data is higher than the threshold, the area grid is marked as flat ground. If the percentage data obtained is below the threshold, the area is marked as a pothole.
And obtaining the river position information according to whether a river exists in the area grid, marking the area grid as a river area when the river exists in the area grid, and otherwise marking as a land area. The information of the mountain location is obtained according to whether a hill exists in the area grid, specifically, when the hill exists in the area grid, the area is marked as a hill area, and otherwise, the area is marked as a plain area. The vegetation coverage rate information is obtained according to the percentage of the area covered by the green plants in the area cells to the total area of the area cells. And the mountain region position information is obtained according to whether a mountain region exists in the region lattice, when the mountain region exists in the region lattice, the region lattice is marked as a mountain region, and otherwise, the region lattice is marked as a plain region.
The planning information comprises basic site selection information, and the basic site selection information comprises: the land information is provided with priorities corresponding to the basic sites according to different basic sites selected by planning designers, and the regional grids meeting the requirements of the specified basic sites are screened out according to the land information with the highest priority. For example, when a planning designer selects a park in the basic site selection information, the land information with the highest priority corresponding to the park is the vegetation coverage, and under the basic site selection information, the land information screens out the area grids with the vegetation coverage higher than 60% preferentially according to the vegetation coverage, and generates corresponding prompt information. When the planning designer selects the housing in the basic addressing information, the land information with the highest priority corresponding to the housing is the land flatness, the region grids marked as flat ground are screened out at the moment, and corresponding prompt information is generated.
The land information also comprises linear distance information of each area grid from the nearest residential area on the periphery, and the linear distance information is acquired in the following mode: and comparing the acquired linear distance value of the area grid from the nearest residential area around the area grid with a distance threshold preset by a planning designer, marking the area grid as an industrial area when the linear distance value is greater than the distance threshold, and otherwise marking the area grid as a non-industrial area. When the planning designer selects a factory in the basic site selection information, the land information with the highest priority corresponding to the factory is the linear distance information, and at the moment, the area grids marked as the industrial area are screened out.
When the planning designer selects a road in the basic site selection information, the land information with the highest priority corresponding to the road is the river position and the mountain position, and at the moment, the region lattices marked as the land region and the plain region at the same time are screened out, and the corresponding prompt information is generated.
The planning information further includes a combined address, and the combined address in this embodiment includes: parks and houses, factories and roads, roads and houses, but not limited thereto, the basic addressing can also be randomly combined. When planning designers select the park and the house, the region grids meeting the planning requirements of the park and the house are screened out, namely the region grids meet the requirements of the park and the house at the same time: the vegetation coverage is higher than 60% and is a flat ground. Similarly, other combinations are not further described herein.
The prompt information is directly displayed on the corresponding area grids and comprises a green display area, a yellow display area and a red display area. The green display area shows that the matching degree of the planning information is 80% -100%, the yellow display area shows that the matching degree of the planning information is 60% -79%, and the red display area shows that the matching degree of the planning information is lower than 60%. When the prompt information of the area lattice appears in a green display area, the matching degree of the area lattice and the planning information is high, and the planning requirement is met. When the prompt message of the area lattice appears in the yellow display area, the matching degree of the area lattice and the planning message is better, and the corresponding planning work in the area lattice can be considered. And when the prompt message of the area lattice appears in a red display area, the matching degree of the area lattice and the planning message is poor, and the corresponding planning work in the area lattice is not suggested.
After acquiring the comparison information selected by the planning designer, comparing the land information of at least two area lattices selected by the planning designer according to the comparison information, and generating a comparison report; the comparison report comprises land flatness difference, river quantity difference, mountain height difference and vegetation coverage difference of the selected region grids.
Example two:
in another aspect, the present embodiments also provide an apparatus for drone-based land survey planning,
comprises the following steps: a plurality of processors, memory, and applications, wherein the processors and memory are coupled, such as via a bus.
The processor may be a CPU (central processing unit), a general purpose processor, a DSP (digital signal processor), an ASIC (application specific integrated circuit), an FPGA (field programmable gate array) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. A processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a DSP and a microprocessor, or the like. The memory is used for storing application program codes for executing the scheme of the application and is controlled by the processor to execute. The processor is configured to execute the application program code stored in the memory to implement the aspects illustrated in the foregoing method embodiments.
The bus adopts a bus protocol such as (Modbus, 100BaseT, USB 2.0). The bus interface and protocol may be a GPIB (IEEE488, etc.) interface and protocol, a COM interface (RS-232/RS-485, etc.) and protocol, a USB interface (USB2.0, etc.) and protocol, etc.
The implementation principle of the land survey planning method based on the unmanned aerial vehicle in the embodiment of the application is as follows: after the unmanned aerial vehicle sends back the land information, generating a corresponding landform map according to the sent back land information, and dividing the landform map into a plurality of region grids with the same area, so that the land information in the corresponding region grids is conveniently displayed; after the planning information selected by the planning designer is acquired, the area lattices meeting the requirements of the planning information can be screened out according to the corresponding land information in each area lattice, and corresponding prompt information is generated, so that the analysis and arrangement process of the planning designer is saved; according to the screened area lattices which meet the requirements of the planning information, the planning designer can more intuitively and conveniently make a planning scheme, so that the working efficiency of the planning designer is greatly improved; compared with manual work, the accuracy of data analysis and arrangement is improved.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (8)
1. A land survey planning method based on unmanned aerial vehicles is characterized by comprising the following steps:
s1, land information is obtained, and after the land information sent back by the unmanned aerial vehicle is obtained, a landform map is generated according to the land information;
s2, dividing regions, dividing the generated landform map into a plurality of region grids with the same area according to the division information selected by the planning designer, wherein each region grid contains land information in the region grid;
and S3, planning the areas, screening the area lattices which meet the requirements of the planning information according to the corresponding land information in each area lattice after the planning information selected by the planning designer is obtained, and generating prompt information.
2. A land survey planning method based on unmanned aerial vehicles according to claim 1, characterized in that: the land information comprises land flatness, river position, mountain position and vegetation coverage.
3. A land survey planning method based on unmanned aerial vehicles according to claim 2, characterized in that: the planning information includes a basic site, and the basic site includes: parks, houses, factories, and roads; according to different basic sites selected by planning and designing personnel, the land information is provided with priorities corresponding to the basic sites, under the designated basic sites, the regional grids meeting the requirements of the designated basic sites are screened out according to the land information with the highest priority, and prompt information is generated.
4. A land survey planning method based on unmanned aerial vehicles according to claim 3, characterized in that: the planning information further comprises a combined address, and the combined address comprises: parks and houses, factories and roads, roads and houses.
5. A land survey planning method based on unmanned aerial vehicles according to claim 1, characterized in that: the prompt information is directly displayed on the corresponding area grid, and the prompt information comprises a green display area, a yellow display area and a red display area; the green display area represents that the matching degree of the green display area and the planning information is 80% -100%, the yellow display area represents that the matching degree of the yellow display area and the planning information is 60% -79%, and the red display area represents that the matching degree of the red display area and the planning information is lower than 60%.
6. A land survey planning method based on unmanned aerial vehicles according to claim 2, characterized in that: after acquiring the comparison information selected by the planning designer, comparing the land information of at least two area lattices selected by the planning designer according to the comparison information, and generating a comparison report; the comparison report comprises land flatness difference values, river quantity difference values, mountain height difference values and vegetation coverage difference values of the selected region grids.
7. A land survey planning method based on unmanned aerial vehicles according to claim 2, characterized in that: the land information further includes a linear distance of each area cell from the peripheral residential area.
8. An unmanned aerial vehicle-based land survey planning device is characterized by comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory
In memory and configured to be executed by the one or more processors, the one or more programs configured to: for performing a drone-based land survey planning method according to any one of claims 1 to 7.
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