CN111354068B - Method for determining installation scheme of solar power station through unmanned aerial vehicle aerial photography - Google Patents
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Abstract
The invention relates to a method for determining an installation scheme of a solar power station through unmanned aerial vehicle aerial photography, which comprises the following steps: shooting a plurality of images of a building by the unmanned aerial vehicle; generating a three-dimensional model and a forward map of the building from the plurality of images; and determining the installation scheme of the solar power station on the building according to the three-dimensional model and the positive shot map. The invention also relates to a system for determining the installation scheme of the solar power station by unmanned aerial vehicle aerial photography. The invention can basically and automatically realize the automatic exploration of the building and the automatic generation of the optimal installation scheme of the solar power station, thereby avoiding the dangers and complicated labor of climbing the building, detailed measurement, manual customization and the like, reducing the installation cost of the solar power station and improving the accuracy of building mapping and the rationality of the installation scheme.
Description
Technical Field
The present invention relates generally to the field of clean energy, and in particular to a method of determining an installation plan for a solar power station by unmanned aerial vehicle aerial photography. The invention further relates to a system for determining the installation scheme of the solar power station by unmanned aerial vehicle aerial photography.
Background
With the development of modern society, the human dependence on energy is higher and higher, and the energy demand is also growing. Currently, the primary energy source is fossil fuels. Fossil fuels are non-renewable resources and their combustion can cause significant environmental pollution. Solar power generation technology is one of the important means for getting rid of fossil fuel and reducing greenhouse gas emission in the future.
Photovoltaic power plants are the primary means of generating electricity from solar energy. In recent years, photovoltaic power stations have shown a trend of rapid development: the new installed capacity of the global photovoltaic market reaches 102GW only in 2017, and the same proportion increases by more than 37%, wherein the new installed capacity of the Chinese market is 53GW, and the new installed capacity of the distributed photovoltaic is more than 19GW, and the same proportion is more than 360%. On the other hand, with the popularization of consumer unmanned aerial vehicles, unmanned aerial vehicle aerial photography technology is increasingly applied to the on-site exploration stage of distributed photovoltaics for assisting project design. However, current unmanned aerial vehicle aerial photography can only assist in design, so that the risk of climbing a building cannot be truly avoided, and the acquired data cannot accurately restore the spatial data of the project.
Disclosure of Invention
Starting from the prior art, the object of the present invention is to provide a method and a system for determining the installation plan of a solar power station by unmanned aerial vehicle aerial photography, by means of which automatic exploration of buildings, such as roofs, and automatic generation of the optimal installation plan of a solar power station can be achieved substantially automatically, so that dangerous and complicated efforts of climbing buildings, detailed measurements, manual customization, etc. are avoided, whereby the installation costs of the solar power station are reduced and the accuracy of the building mapping and the rationality of the installation plan are improved.
In a first aspect of the invention, the aforementioned object is achieved by a method for determining an installation plan of a solar power station by unmanned aerial vehicle aerial photography, the method comprising:
shooting a plurality of images of a building by the unmanned aerial vehicle;
generating a three-dimensional model and a forward map of the building from the plurality of images; and
and determining the installation scheme of the solar power station on the building according to the three-dimensional model and the forward graph.
In a preferred embodiment of the invention, the generation of the three-dimensional model and the orthographic view of the building from the plurality of images comprises:
and synthesizing a three-dimensional model and a two-dimensional positive shot map with the actual size of 1:1 according to the plurality of images.
By this preferred scheme, the actual size 1 can be generated as follows: and a 1-scale three-dimensional model and a two-dimensional positive shot map, thereby providing a data base for accurately making an installation scheme. Image composition may utilize existing image processing techniques such as stitching of multiple images, and techniques that build three-dimensional models using multi-angle images.
It should be noted herein that in the present invention, a "building" encompasses not only various kinds of building, house, etc. artificial facilities, but also other natural sites or artificially developed semi-natural sites as long as they require exploration and can apply the scheme of the present invention, i.e., fall within the scope of the present invention.
In a further preferred embodiment of the invention, the determination of the installation of the solar power station on the building from the three-dimensional model and the forward map comprises:
determining the orientation and gradient of the building according to the three-dimensional model;
determining the mountable area of the building according to the orientation and gradient of the building and the forward map of the building; and
and arranging the solar power station according to the mountable area.
By this preferred solution, the orientation and slope and area of the building can be precisely determined, thereby providing a data basis for precisely formulating the installation solution. Here, the mountable area refers to an area of an area suitable for mounting the solar power plant, which is determined according to the corresponding conditions of the building, such as the free area and the orientation.
In a further preferred embodiment of the invention, the method further comprises:
determining an obstacle on the building from the three-dimensional model, wherein the obstacle affects installation of the solar power station; and
and determining the installation scheme of the solar power station according to the position, the size and/or the height of the obstacle.
With this preferred solution, the presence of obstacles can be taken into account in the formulation of the installation solution, thereby formulating an installation solution that conforms to the actual topography of the building. The way of identifying the obstacle is, for example, by identifying one or more specific obstacles of the building by means of image recognition techniques and determining their position and size.
In one embodiment of the invention, it is provided that the method further comprises:
displaying the three-dimensional model and the forward graph to a user in a webpage or an application window;
receiving a query for a solar power station from a user;
searching parameters of the solar power station matched with the query in the equipment library; and
and displaying the parameters to a user.
Through the expansion scheme, the user can conveniently inquire the parameters of the corresponding solar power station, and therefore the installation scheme is favorably modified by the user.
In a further embodiment of the invention, it is provided that the installation arrangement comprises one or more of the following: the brand, model, installation mode and installation quantity of the solar power station. In addition, the installation scheme may also include the installation location, orientation, wiring arrangement, etc. of the solar power station.
In a preferred embodiment of the invention, provision is made for the method to further comprise:
determining a geographic location of a building;
acquiring historical meteorological data of an area where a building is located;
determining the capacity or the generating capacity of the solar power station according to the geographic position and the historical meteorological data and the installation scheme; and
the installation scheme is adjusted to maximize the capacity or power generation.
With this preferred solution, an installation solution with maximum capacity or power generation can be generated, thereby achieving optimal resource utilization. Adjusting the scheme includes, for example: the position or orientation of the solar power station is adjusted according to the light conditions, the corresponding brand or model is selected, and the like. The method for determining the geographic position and the meteorological data of the building is, for example, to call GPS positioning data or electronic map data to acquire geographic position information; the weather database is invoked to obtain historical weather data for the site, such as average sunlight time, average sunlight intensity, typical weather year data, historical very low temperatures, and the like.
In one embodiment of the invention, it is provided that the method further comprises:
determining electricity utilization price and electricity price subsidy according to the geographical position of the building; and
and determining investment income according to the electricity price, the electricity price subsidy and the generated energy.
By acquiring subsidy information, investment benefits can be automatically determined, so that a user can make a decision conveniently. Electricity prices and price subsidies can be obtained automatically from official websites, for example, by Web crawlers (Web crawlers), retrieved from databases, or manually entered by users.
In a second aspect of the invention, the aforementioned task is solved by a system for determining the installation plan of a solar power station by unmanned aerial vehicle aerial photography, comprising:
a drone configured to perform the following actions:
capturing a plurality of images of a building from a plurality of angles such that a three-dimensional model and a forward map of the building can be generated from the plurality of images; and
transmitting the plurality of images to a server;
a server configured to perform the following actions:
generating a three-dimensional model and a forward map of the building from the plurality of images;
determining an installation scheme of the solar power station on a building according to the three-dimensional model and the forward graph;
sending the installation scheme to a client;
receiving a user modification to the installation scheme from the client; and
generating an updated installation scheme according to the modification;
a client configured to perform the following actions:
displaying the installation scheme to a user;
receiving a modification to the installation scheme from a user;
transmitting the modification to a server;
receiving an updated installation plan from a server; and
the updated installation scheme is displayed to the user.
In a preferred embodiment of the invention, the server is further configured to perform the following actions:
determining a geographic location of a building;
acquiring historical meteorological data of an area where a building is located;
determining the generated energy of the solar power station according to the geographic position and the historical meteorological data and the installation scheme;
adjusting the installation scheme to maximize the power generation;
determining electricity utilization price and electricity price subsidy according to the geographical position of the building; and
and determining investment income according to the electricity price, the electricity price subsidy and the generated energy.
By acquiring subsidy information, investment benefits can be automatically determined, so that a user can make a decision conveniently. Electricity prices and price subsidies may be obtained automatically from official websites, for example by web crawlers, or retrieved from a database.
The invention has at least the following beneficial effects: (1) According to the invention, unmanned mapping of project buildings is realized, and the personal safety hidden trouble existing in climbing buildings is avoided; (2) According to the invention, the project live-action modeling is carried out by using a digital technology, so that the automatic design and resource evaluation of the project power station are completed based on the 3D model, repeated field investigation is not needed, and the whole design work can be completed on a computer; (3) Due to the fact that the 3D model combined with the live-action is adopted, the method can also formulate an accurate solar power station installation scheme, and therefore labor of manual design and calculation is avoided.
Drawings
The invention will be further elucidated with reference to a specific embodiment in conjunction with the drawings.
Fig. 1 shows a schematic diagram of a system for determining the installation plan of a solar power station by aerial photography of an unmanned aerial vehicle according to the present invention; and
fig. 2 shows a flow of a method according to the invention for determining the installation plan of a solar power station by unmanned aerial vehicle.
Detailed Description
It should be noted that the components in the figures may be shown exaggerated for illustrative purposes and are not necessarily to scale. In the drawings, identical or functionally identical components are provided with the same reference numerals.
In the present invention, the embodiments are merely intended to illustrate the scheme of the present invention, and should not be construed as limiting.
In the present invention, the adjectives "a" and "an" do not exclude a scenario of a plurality of elements, unless specifically indicated.
It should also be noted herein that in embodiments of the present invention, only a portion of the components or assemblies may be shown for clarity and simplicity, but those of ordinary skill in the art will appreciate that the components or assemblies may be added as needed for a particular scenario under the teachings of the present invention.
It should also be noted herein that, within the scope of the present invention, the terms "identical", "equal" and the like do not mean that the two values are absolutely equal, but rather allow for some reasonable error, that is, the terms also encompass "substantially identical", "substantially equal".
The numbers of the steps of the respective methods of the present invention are not limited to the order of execution of the steps of the methods. The method steps may be performed in a different order unless otherwise indicated.
Aiming at the current situation that the link of the distributed photovoltaic project on-site investigation, design and resource evaluation cannot truly, efficiently and accurately utilize unmanned aerial vehicle aerial photographing data, the invention provides an intelligent on-site investigation, three-dimensional digital design and resource evaluation method of a distributed photovoltaic power station based on unmanned aerial photographing. The method not only realizes accurate mapping of the project building and avoids the personal safety hidden trouble existing in climbing the building, but also realizes project live-action modeling through a digital technology, and completes automatic design and resource assessment of the project power station based on a 3D model.
Fig. 1 shows a schematic diagram of a system 100 for determining a mounting scheme of a solar power station by aerial photography of an unmanned aerial vehicle according to the present invention.
As shown in fig. 1, the system 100 includes a drone 101, a server 102, and a client 106 on a user device 105. The client 106 is, for example, a mobile application installed on a user's mobile device. The drone 101 accesses the internet 104, for example, through a wireless connection, such as via a mobile access device 103 (e.g., wi-Fi router). The user equipment 105 is for example connected to the internet 104 via a wireless connection, such as a cellular mobile connection. Through the internet 104, the drone 101, the server 102, and the client 106 on the user device 105 communicate with each other. It should be noted here that this implementation is only exemplary, and in other embodiments the drone 101 may also communicate directly with the server, e.g. via bluetooth, zigBee or cellular mobile connection, etc., and the drone 101, the server 102 and the client 106 on the user device 105 may also communicate with each other via an enterprise network, a local area network, etc. Wired communication may also be used for communication between them. For communication security, encrypted communication may be set, or the user equipment may be authenticated.
The components, some of which are optional, are further described below:
unmanned aerial vehicle 101 equipped with one or more cameras. The drone 101 is configured to perform the following actions:
(a) A plurality of images of a building are taken from a plurality of angles, such that a three-dimensional model and a forward map of the building can be generated from the plurality of images. The drone 101 may take photographs of the building from multiple angles, for example, so that the photographs can be combined into a three-dimensional model of the building. To take a forward view, the drone 101 may, for example, fly directly above the building and take one or more photographs vertically or obliquely downward, so that the photograph or photographs can generate a complete forward view of the building. A front view can be understood as a top view.
(b) And transmitting the plurality of images to a server. To this end, the drone 101 may be equipped with a wireless communication module, such as a cellular communication module, a bluetooth module, an infrared communication module, and so on.
A server configured to perform the following actions:
(a) And generating a three-dimensional model and a forward picture of the building according to the plurality of images. For example, a sum of actual dimensions 1: and a 1-scale three-dimensional model and a two-dimensional positive shot map, thereby providing a data base for accurately making an installation scheme. Image composition may utilize existing image processing techniques such as stitching of multiple images, and techniques that build three-dimensional models using multi-angle images. For example, three-dimensional modeling may be performed by a modeling engine server.
(b) And determining the installation scheme of the solar power station on the building according to the three-dimensional model and the forward graph. The installation scheme may include, for example, one or more of the following: the brand, model, installation mode and installation quantity of the solar power station. In addition, the installation scheme may also include the installation location, orientation, wiring arrangement, etc. of the solar power station. The installation scheme may be formulated according to installation rules. The installation rules may include, for example, templates tailored to various building shapes and topography, including installation location and solar power plant make and model, and the like. The installation rules may also include various rules, such as: how to install a solar power station in the vicinity of various obstacles; how to install and what kind of power station is installed on buildings with various orientations and slopes; how to divide a building into a plurality of spaces where power stations can be installed, how to install and how large power stations are installed in each space, etc.
(c) And sending the installation scheme to the client. This may be done, for example, by a wireless communication connection. The installation scheme may be either digitized parameter data or image data of an installation map.
(d) User modifications to the installation scheme are received from the client. The system allows a user to manually draw and set buildings and obstacles on the 2D positive shot map, and when the user draws, the system automatically recognizes and displays information such as building size, building area, building azimuth angle, building gradient angle and the like. The system supports automatic recognition of roofs and obstacles, after the obstacles are drawn, the system displays the heights of the obstacles and the corresponding shadow influences in real time, and the shadow can be automatically avoided when the components are arranged. In the 3D live-action model window, the system supports measurement of the length of any two points, measurement of the area of any plane and arrangement of display components, and meanwhile, operations such as rotation, scaling, dragging, light shadow simulation and the like can be freely performed, and one-key switching to a 45-degree strabismus or complete overlooking view is also supported. In the 2D forward view window, the system supports operations of drawing a building, drawing an obstacle, arranging display components, freely zooming, dragging and the like.
(e) Generating an updated installation scheme according to the modification. This may include, for example, optimizing power generation according to a user modified profile, such as modifying solar generator type, size, location, etc., or receiving a user modification and adapting the profile.
(f) Resource assessment is optionally performed. After the user completes the drawing and setting of the building and the obstacle, the system can realize one-key resource evaluation. The resource evaluation content comprises, but is not limited to, intelligent equipment selection, capacity and design scheme evaluation, power generation capacity measurement, asset information recommendation such as financing mode and financing rate, patch information matching, enterprise power consumption information calculation, cost estimation, financial measurement, investment income evaluation and the like. After the evaluation is completed, the system supports the user to download the corresponding PDF report and export the CAD drawing. To perform the power generation amount evaluation, the server may, for example, obtain geographical location information of the building and related historical weather data, such as invoking GPS positioning data or electronic map data to obtain geographical location information, invoking a weather database to obtain historical weather data of the ground, such as average sunlight time and average sunlight intensity, and so on.
(g) Optionally optimizing the installation scheme according to the resource evaluation result. The server may, for example, optimize the installation scheme based on related data such as geographical data of the building and historical meteorological data, adjust the position or orientation of the solar power station based on light conditions, select a corresponding make or model, etc. After the optimization is finished, the capacity or the power generation amount is recalculated. The optimization process may be iterated multiple times until an optimal result is reached. In the present invention, the capacity means the installed capacity.
A client configured to perform the following actions:
(a) And displaying the installation scheme to a user. The client may be, for example, an application installed on the user device. The user equipment may for example comprise: mobile devices, such as smartphones, laptops, personal digital assistants, tablet computers, etc.; or a stationary device such as a desktop. Displaying the installation scheme to the user may include, for example, displaying the scheme on a display or outputting the installation scheme through other devices such as a printer. In addition, the user can draw buildings and barriers and execute related functional operations in the 2D view through the client, or perform operations such as live-action model viewing and barrier measurement in the 3D view.
(b) Modifications to the installation scheme are received from a user. The user modifications include, for example:
modifying the size, location, orientation, make, model, etc. of the generator. The user can set the drawn object, and the calculation results are automatically refreshed in the 2D view and the 3D view.
(c) And sending the modification to a server. The modification may be a modification of a key parameter or a modification of a graphic.
(d) An updated installation scheme is received from a server. The updated installation scheme is generated by the server based on the user modification.
(e) The updated installation scheme is displayed to the user. The display mode includes, for example, outputting through a display, a speaker, a printer, or the like.
Furthermore, the system may optionally also perform the following operations:
and based on the longitude and latitude of the target building, attaching the generated 3D live-action model and/or the generated positioning of the 2D positive image to the satellite image.
On the client, the user can freely zoom or drag the 2D forward map.
In a 2D view, polygons may be drawn on the 2D elevation map to represent buildings or obstructions. Building types are generally classified into flat buildings and inclined buildings, which are areas where components are installed. An obstacle refers to an object whose own or shadow may affect the area where the power plant is installed. When a building is drawn, the power plant or its component arrangement for the building will be automatically generated according to the default settings. When an obstacle is newly added or deleted, the power plant of the building or its component arrangement will automatically be updated. The power plant or its component arrangement of the building will automatically be updated when the power plant or its component arrangement is modified. The power station or the content of the arrangement of the components thereof comprises the brand of the components, the model of the components, the installation mode, the number of installation rows and the like. According to the component brands and component models selected by the users, matching inquiry can be carried out in the equipment library, and the size parameters and the electrical parameters of the corresponding components are obtained.
The user may freely rotate, zoom or drag the 3D live-action model. In the 3D view, the user may make a 45 ° oblique view or a top view of the 3D live-action model. In the 3D view, a user can measure the distance between any two points in the 3D live-action model, and the measurement result can calculate the spatial distance, the horizontal distance and the vertical distance of the two points through coordinate points. In the 3D view, the user can make area measurements at multiple points of any plane in the 3D live-action model. The component arrangement in the 3D view will be synchronized with the power plant or its component arrangement.
Based on the recognized or drawn building polygons, the area of the corresponding area of the polygon can be automatically calculated in a coordinate point calculation mode, and the lengths of all sides of the polygon are displayed.
Based on the drawn building polygons, the azimuth angles and the gradient angles of the corresponding buildings of the polygons can be automatically identified through an image identification method by combining the generated 3D live-action models.
Based on the drawn obstacle polygons, the positions, the areas and the heights of the obstacles corresponding to the polygons can be automatically identified through an image identification method by combining the generated 3D live-action models and the 2D forward pictures.
Based on the drawn building polygon, the corresponding rail or parapet corresponding to each side length of the polygon can be automatically calculated through longitude and latitude, rail or parapet height and solar trackIs a shadow of (2).
Based on the drawn obstacle polygons, the corresponding shadows of the obstacle can be automatically calculated through longitude and latitude, the height of the obstacle and the solar track.
Based on the generated design scheme, the system defaults to a recommended maximum capacity scheme as a default.
According to the generated design scheme, the inverter is selected, the generated energy is measured and calculated, the typical manufacturing cost of the system is automatically generated, the electric subsidy is searched by matching the subsidy database, the electricity price is searched by matching the electricity price database, and the investment scheme is automatically generated.
The system recommends inverter models by default based on individual building capacity and multiple building similarities, and a user can select an inverter to be used in the device parameter library.
According to the identified longitude and latitude, typical meteorological year data of the area where the building is located can be obtained, the SAM SDK is called to calculate the system power generation amount, and the results of year equivalent full-time hours, year accumulated horizontal irradiation, PR and the like are returned.
According to the generated design scheme, the cost subdivision closest to the project feature can be generated through interpolation calculation of the matched query cost price library, and the latest generated cost subdivision is added into the costAnd (5) manufacturing a cost warehouse.
And according to the identified longitude and latitude, acquiring national subsidies, provincial subsidies and municipal subsidies of the area where the building is located by matching and inquiring an electricity price subsidy library.
And according to the identified longitude and latitude, the enterprise electricity price of the area where the building is located can be obtained by matching and inquiring the electricity price base, and the weighted electricity price is calculated by combining the generated energy.
According to the generated design, asset information closest to project features can be obtained by matching the query asset information base, and the latest generated asset information is added into the asset information base. The asset information comprises financing modes, financing rates, cash flow discount, operation and maintenance costs, modes and the like.
Corresponding recovery years, IRR and the like are calculated through the discount cash flow model.
The generated design scheme can be converted into dwg drawings for downloading.
The generated report may be converted to HTML format and then to PDF for download.
The invention has at least the following beneficial effects: (1) According to the invention, unmanned mapping of project buildings is realized, and the personal safety hidden trouble existing in climbing buildings is avoided; (2) According to the invention, the project live-action modeling is carried out by using a digital technology, so that the automatic design and resource evaluation of the project power station are completed based on the 3D model, repeated field investigation is not needed, and the whole design work can be completed on a computer; (3) Due to the fact that the 3D model combined with the live-action is adopted, the method can also formulate an accurate solar power station installation scheme, and therefore labor of manual design and calculation is avoided.
Fig. 2 shows a flow of a method 200 of determining an installation plan of a solar power station by aerial photography of an unmanned aerial vehicle according to the present invention, wherein the dashed boxes represent optional steps.
At step 202, a plurality of images of a building are captured by a drone. The drone may take, for example, photographs of the building from multiple angles, such that the photographs can be combined into a three-dimensional model of the building.
In step 204, a three-dimensional model and a forward map of the building are generated from the plurality of images. Image composition may utilize existing image processing techniques such as stitching of multiple images, and techniques that build three-dimensional models using multi-angle images. For example, three-dimensional modeling may be performed by a modeling engine server.
In step 206, a solar power plant installation scheme on the building is determined according to the three-dimensional model and the forward map. The installation scheme may include, for example, one or more of the following: the brand, model, installation mode and installation quantity of the solar power station. In addition, the installation scheme may also include the installation location, orientation, wiring arrangement, etc. of the solar power station.
At optional step 208, a modification to the installation scheme is received from the user. The system allows a user to manually draw and set buildings and obstacles on the 2D positive shot map, and when the user draws, the system automatically recognizes and displays information such as building size, building area, building azimuth angle, building gradient angle and the like.
At optional step 210, the geographic location of the building is determined. For example, GPS positioning data or electronic map data may be invoked to obtain geographic location information.
In optional step 212, historical weather data is obtained for the area in which the building is located. For example, a weather database may be invoked to obtain historical weather data for the ground, such as average sunlight time and average sunlight intensity, and so forth.
In optional step 214, the power generation of the solar power plant is determined based on the geographic location and the historical meteorological data and the installation plan. The power generation amount may be calculated, for example, according to the corresponding calculation formula.
In optional step 216, the installation scheme is adjusted to maximize the power generation. The server may, for example, optimize the installation scheme based on related data such as geographical data of the building and historical meteorological data, adjust the position or orientation of the solar power station based on light conditions, select a corresponding make or model, etc. After the optimization is finished, the generated energy is recalculated. The optimization process may be iterated multiple times until an optimal result is reached.
While certain embodiments of the present invention have been described herein, those skilled in the art will appreciate that these embodiments are shown by way of example only. Numerous variations, substitutions and modifications will occur to those skilled in the art in light of the present teachings without departing from the scope of the invention. The appended claims are intended to define the scope of the invention and to cover such methods and structures within the scope of these claims themselves and their equivalents.
Claims (8)
1. A method of determining an installation plan for a solar power station by unmanned aerial vehicle aerial photography, comprising:
shooting a plurality of images of a building by the unmanned aerial vehicle;
generating a three-dimensional model and a two-dimensional forward graph of the building according to the plurality of images, wherein the three-dimensional model and the two-dimensional forward graph which are in a ratio of 1:1 with the actual size are synthesized according to the plurality of images;
determining an installation scheme of the solar power station on a building according to the three-dimensional model and the forward graph;
determining a geographic location of a building;
acquiring historical meteorological data of an area where a building is located;
determining the capacity or the generating capacity of the solar power station according to the geographic position and the historical meteorological data and the installation scheme; and
adjusting the installation scheme to maximize the capacity or power generation, wherein the method further comprises:
allowing a user to draw polygons on a 2D proactive map to represent a building or obstacle, wherein:
based on the drawn building polygon, automatically calculating the area of a corresponding area of the polygon in a coordinate point calculation mode, and displaying the length of each side of the polygon;
based on the drawn obstacle polygons, combining the generated 3D live-action models and the 2D forward pictures, and automatically identifying the positions, the areas and the heights of the obstacles corresponding to the polygons by an image identification method; and
based on the drawn obstacle polygons, the corresponding shadows of the obstacle are automatically calculated through longitude and latitude, the height of the obstacle and the solar track.
2. The method of claim 1, wherein determining a solar power plant installation plan on a building from the three-dimensional model and a forward map comprises:
determining the orientation and gradient of the building according to the three-dimensional model;
determining the mountable area of the building according to the orientation and gradient of the building and the forward map of the building; and
and arranging the solar power station according to the mountable area.
3. The method of claim 2, further comprising:
determining an obstacle on the building from the three-dimensional model, wherein the obstacle affects installation of the solar power station; and
and determining the installation scheme of the solar power station according to the position, the size and/or the height of the obstacle.
4. The method of claim 1, further comprising:
displaying the three-dimensional model and the forward graph to a user in a webpage or an application window;
receiving a query for a solar power station from a user;
searching parameters of the solar power station matched with the query in the equipment library; and
and displaying the parameters to a user.
5. The method of claim 1, wherein the installation scheme comprises one or more of: the brand, model, installation mode and installation quantity of the solar power station.
6. The method of claim 1, further comprising:
determining electricity utilization price and electricity price subsidy according to the geographical position of the building; and
and determining investment income according to the electricity price, the electricity price subsidy and the generated energy.
7. A system for determining a mounting scheme for a solar power station by aerial photography of an unmanned aerial vehicle, comprising:
a drone configured to perform the following actions:
capturing a plurality of images of a building from a plurality of angles such that a three-dimensional model and a forward map of the building can be generated from the plurality of images; and
transmitting the plurality of images to a server;
a server configured to perform the following actions:
generating a three-dimensional model and a two-dimensional forward graph of the building according to the plurality of images, wherein the three-dimensional model and the two-dimensional forward graph which are in a ratio of 1:1 with the actual size are synthesized according to the plurality of images;
determining an installation scheme of the solar power station on a building according to the three-dimensional model and the forward graph;
determining a geographic location of a building;
acquiring historical meteorological data of an area where a building is located;
determining the capacity or the generating capacity of the solar power station according to the geographic position and the historical meteorological data and the installation scheme;
adjusting the installation scheme to maximize the capacity or power generation;
sending the installation scheme to a client;
receiving a user modification to the installation scheme from the client; and
generating an updated installation scheme according to the modification;
a client configured to perform the following actions:
displaying the installation scheme to a user;
receiving a modification to the installation scheme from a user;
transmitting the modification to a server;
receiving an updated installation plan from a server; and
displaying the updated installation scheme to the user, wherein the client is further configured to allow the user to draw polygons on the 2D elevation map to represent the building or obstacle, wherein:
based on the drawn building polygon, automatically calculating the area of a corresponding area of the polygon in a coordinate point calculation mode, and displaying the length of each side of the polygon;
based on the drawn obstacle polygons, combining the generated 3D live-action models and the 2D forward pictures, and automatically identifying the positions, the areas and the heights of the obstacles corresponding to the polygons by an image identification method; and
based on the drawn obstacle polygons, the corresponding shadows of the obstacle are automatically calculated through longitude and latitude, the height of the obstacle and the solar track.
8. The system of claim 7, wherein the server is further configured to perform the following actions:
determining a geographic location of a building;
acquiring historical meteorological data of an area where a building is located;
determining the capacity or the generating capacity of the solar power station according to the geographic position and the historical meteorological data and the installation scheme;
adjusting the installation scheme to maximize the capacity or power generation;
determining electricity utilization price and electricity price subsidy according to the geographical position of the building; and
and determining investment income according to the electricity price, the electricity price subsidy and the generated energy.
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| CN201811569682.2A CN111354068B (en) | 2018-12-21 | 2018-12-21 | Method for determining installation scheme of solar power station through unmanned aerial vehicle aerial photography |
| PCT/CN2019/121177 WO2020125358A1 (en) | 2018-12-21 | 2019-11-27 | Method for determining installation scheme for solar power station by aerial photography by unmanned aerial vehicle |
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| CN108073180B (en) * | 2016-11-08 | 2020-07-28 | 北京金风科创风电设备有限公司 | Control method, device and system of unmanned aerial vehicle |
| US10800522B2 (en) * | 2016-12-05 | 2020-10-13 | Samsung Electronics Co., Ltd. | Flight control method and electronic device for supporting the same |
| CN107341851A (en) * | 2017-06-26 | 2017-11-10 | 深圳珠科创新技术有限公司 | Real-time three-dimensional modeling method and system based on unmanned plane image data |
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| CN104657563A (en) * | 2015-03-10 | 2015-05-27 | 阳光电源股份有限公司 | Intelligent design platform and intelligent design method of photovoltaic power station |
| CN106528914A (en) * | 2016-09-21 | 2017-03-22 | 中国葛洲坝集团电力有限责任公司 | Montanic photovoltaic power station layout platform and layout method |
| CN106650078A (en) * | 2016-12-16 | 2017-05-10 | 亚坦能源科技（上海）有限公司 | Method and device for designing photovoltaic power generation system |
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