CN111354068A - Method for determining installation scheme of solar power station through unmanned aerial vehicle aerial photography - Google Patents

Method for determining installation scheme of solar power station through unmanned aerial vehicle aerial photography Download PDF

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Publication number
CN111354068A
CN111354068A CN201811569682.2A CN201811569682A CN111354068A CN 111354068 A CN111354068 A CN 111354068A CN 201811569682 A CN201811569682 A CN 201811569682A CN 111354068 A CN111354068 A CN 111354068A
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building
installation
determining
solar power
power station
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CN111354068B (en
Inventor
徐宁
宋强
江秀
张晨
昌菁
李舟生
潘亚露
张玉鑫
程小为
胡繁
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Envision Energy Nanjing Software Technology Co ltd
Envision Energy Co Ltd
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Envision Energy Nanjing Software Technology Co ltd
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Priority to PCT/CN2019/121177 priority patent/WO2020125358A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume

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 an unmanned aerial vehicle; generating a three-dimensional model and a positive shot map of a 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 image. The invention also relates to a system for determining the installation scheme of the solar power station through unmanned aerial vehicle aerial photography. By the invention, automatic exploration of buildings and automatic generation of an optimal installation scheme of the solar power station can be realized basically and automatically, so that dangerous and complicated labor such as building climbing, detailed measurement, manual customization and the like is avoided, the installation cost of the solar power station is reduced, and the surveying and mapping accuracy of the buildings and the reasonability of the installation scheme are improved.

Description

Method for determining installation scheme of solar power station through unmanned aerial vehicle aerial photography
Technical Field
The invention relates to the field of clean energy in general, and particularly relates to a method for determining an installation scheme of a solar power station through unmanned aerial vehicle aerial photography. In addition, the invention also relates to a system for determining the installation scheme of the solar power station through unmanned aerial vehicle aerial photography.
Background
Along with the development of modern society, the degree of dependence on energy of human beings is higher and higher, and the energy demand is also increased day by day. Currently, the primary energy source is fossil fuels. Fossil fuels are a non-renewable resource, and their combustion causes a great pollution to the environment. The solar power generation technology is one of important means for getting rid of fossil fuel and reducing greenhouse gas emission in the future.
Photovoltaic power stations are the main means of generating electricity from solar energy. In recent years, photovoltaic power stations have exhibited a rapidly growing trend: in 2017, the newly increased installed capacity of the global photovoltaic market reaches 102GW, and the same-ratio increase exceeds 37%, wherein the newly increased installed capacity of the Chinese market is 53GW, the newly increased installed capacity of the distributed photovoltaic market already exceeds 19GW, and the same-ratio increase exceeds 360%. On the other hand, with the popularization of consumer-grade drones, the drone aerial photography technology is increasingly applied to the current exploration phase of distributed photovoltaics for assisting project design. However, current unmanned aerial vehicle aerial photography can only assist the design, can not really avoid climbing the risk of building, and the spatial data of project can not accurately be restored to the data of gathering yet.
Disclosure of Invention
Starting from the prior art, the task of the present invention is to provide a method and a system for determining an installation scenario of a solar power station by unmanned aerial vehicle aerial photography, by which automatic exploration of buildings, such as roofs, and automatic generation of an optimal installation scenario of the solar power station can be achieved in a substantially automated manner, thereby avoiding dangerous and tedious labor of climbing buildings, detailed measurement, manual customization, etc., thereby reducing the installation cost of the solar power station and improving the accuracy of building surveying and mapping and the rationality of the installation scenario.
In a first aspect of the invention, the aforementioned task is solved by a method for determining an installation scenario of a solar power station by unmanned aerial vehicle aerial photography, the method comprising:
shooting a plurality of images of a building by an unmanned aerial vehicle;
generating a three-dimensional model and a positive shot map of a building from the plurality of images; and
and determining an installation scheme of the solar power station on the building according to the three-dimensional model and the positive image.
In a preferred embodiment of the invention, it is provided that 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 image with the actual size of 1:1 according to the plurality of images.
With this preferred solution, a dimension 1: a three-dimensional model and a two-dimensional orthographic view at a scale of 1, thereby providing a data base for accurately formulating an installation plan. Image synthesis may utilize existing image processing techniques, such as stitching of multiple images, and techniques for building three-dimensional models using multi-angle images.
It should be noted herein that in the present invention, the "building" covers not only various kinds of artificial facilities such as buildings, houses, etc., but also other natural places or semi-natural places developed by human, as long as these places need to be explored and the solution of the present invention can be applied, and falls within the scope of the present invention.
In a further preferred embodiment of the invention, it is provided that the determination of the installation plan of the solar power station on the building from the three-dimensional model and the positive map comprises:
determining the orientation and gradient of the building according to the three-dimensional model;
determining the installable area of the building according to the orientation and gradient of the building and a positive map of the building; and
arranging solar power stations according to the mountable area.
With this preferred solution, the orientation and grade and area of the building can be accurately determined, thereby providing a data basis for accurate planning of installation solutions. Here, the installable area refers to an area of an area suitable for installing the solar power plant determined according to respective conditions of the building, such as a free area and an orientation.
In a further preferred embodiment of the invention, it is provided that 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 embodiment, the presence of obstacles can be taken into account in the making of the installation plan, thereby making an installation plan that conforms to the actual topography of the building. The obstacle is identified, for example, by identifying one or more specific obstacles of the building by means of image recognition technology 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 positive shot image to a user in a webpage or an application window;
receiving a query from a user for a solar power station;
searching the 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, a user can conveniently inquire the parameters of the corresponding solar power station, so that the user can modify the installation scheme.
In a further embodiment of the invention, it is provided that the installation plan includes one or more of the following: the brand, model, installation mode and installation quantity of the solar power station. In addition to this, the installation solution may also include the installation location, orientation, wiring arrangement, etc. of the solar power station.
In a preferred embodiment of the invention, it is provided that the method further comprises:
determining a geographical location of a building;
acquiring historical meteorological data of an area where a building is located;
determining the capacity or the power generation capacity of the solar power station according to the geographic position, the historical meteorological data and the installation scheme; and
adjusting the installation scheme to maximize the capacity or power generation.
By this preferred solution, an installation solution with maximum capacity or power production can be generated, thereby achieving optimal resource utilization. Adjusting the scheme includes, for example: adjusting the position or orientation of the solar power station according to the light conditions, selecting the corresponding brand or model, and the like. Determining the geographic location and weather data of a building, for example, by invoking GPS positioning data or electronic map data to obtain geographic location information; and calling a weather database to obtain historical weather data of the place, such as average sunshine time, average sunshine intensity, typical weather year data, historical ultralow temperature and the like.
In one embodiment of the invention, it is provided that the method further comprises:
determining electricity price and electricity price subsidies 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 income can be automatically determined, so that a user can make a decision conveniently. The electricity price and the subsidy of the electricity price may be automatically obtained from an official website by a Web Crawler (Web Crawler), retrieved from a database, or manually input by a user, for example.
In a second aspect of the invention, the aforementioned task is solved by a system for determining an installation scenario 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
sending the plurality of images to a server;
a server configured to perform the following actions:
generating a three-dimensional model and a positive shot map of a building from the plurality of images;
determining an installation scheme of the solar power station on the building according to the three-dimensional model and the positive shot image;
sending the installation scheme to a client;
receiving a user modification to the installation scheme from the client; and
generating an updated installation plan 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 scenario from a user;
sending the modification to a server;
receiving an updated installation plan from the server; and
the updated installation scheme is displayed to the user.
In a preferred embodiment of the invention, it is provided that the server is further configured to perform the following actions:
determining a geographical location of a building;
acquiring historical meteorological data of an area where a building is located;
determining the power generation amount of the solar power station according to the geographic position, the historical meteorological data and the installation scheme;
adjusting the installation scheme to maximize the power generation;
determining electricity price and electricity price subsidies 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 income can be automatically determined, so that a user can make a decision conveniently. The electricity usage rates and subsidies may be obtained automatically from an official website, for example, by a web crawler, or retrieved from a database.
The invention has at least the following beneficial effects: (1) the invention realizes unmanned surveying and mapping of project buildings, and avoids the potential personal safety hazard existing in climbing buildings; (2) according to the invention, project scene modeling is carried out by using a digital technology, so that automatic design and resource evaluation of a project power station are completed based on a 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 real scene is adopted, an accurate solar power station installation scheme can be formulated, and therefore labor of manual design and calculation is avoided.
Drawings
The invention is further elucidated with reference to specific embodiments in the following description, in conjunction with the appended drawings.
Fig. 1 shows a schematic view of a system for determining an installation scenario of a solar power station by unmanned aerial vehicle aerial photography according to the present invention; and
fig. 2 shows a flow of a method according to the invention for determining an installation scenario of a solar power station by unmanned aerial vehicle aerial photography.
Detailed Description
It should be noted that the components in the figures may be exaggerated and not necessarily to scale for illustrative purposes. In the figures, identical or functionally identical components are provided with the same reference symbols.
In the present invention, the embodiments are only intended to illustrate the aspects of the present invention, and should not be construed as limiting.
In the present invention, the terms "a" and "an" do not exclude the presence of a plurality of elements, unless otherwise specified.
It is further 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, given the teachings of the present invention, required components or assemblies may be added as needed in a particular scenario.
It is also noted herein that, within the scope of the present invention, the terms "same", "equal", and the like do not mean that the two values are absolutely equal, but allow some reasonable error, that is, the terms also encompass "substantially the same", "substantially equal".
The numbering of the steps of the methods of the present invention does not limit the order of execution of the steps of the methods. Unless specifically stated, the method steps may be performed in a different order.
The invention provides an unmanned aerial vehicle aerial photography-based distributed photovoltaic power station intelligent current exploration, three-dimensional digital design and resource evaluation method, aiming at the current situation that unmanned aerial vehicle aerial photography data cannot be truly and efficiently utilized in distributed photovoltaic project current exploration, design and resource evaluation links. The method not only realizes accurate surveying and mapping of the project building and avoids the potential personal safety hazard existing in climbing the building, but also realizes project scene modeling through a digital technology, and completes automatic design and resource assessment of a project power station based on a 3D model.
Fig. 1 shows a schematic view of a system 100 for determining an installation scenario of a solar power station by unmanned aerial vehicle aerial photography 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., a Wi-Fi router). The user equipment 105 has access to the internet 104, for example, 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 embodiment is merely exemplary, and in other embodiments, the drone 101 may also communicate directly with the server, e.g. via a bluetooth, ZigBee or cellular mobile connection, etc., and the clients 106 on the drone 101, server 102 and user device 105 may also communicate with each other via an enterprise network, a local area network, etc. The communication between them may also be wired. For communication security, encrypted communication may be provided, or the user equipment may be authenticated.
The components are further described below, some of which are optional:
drone 101 equipped with one or more cameras. The drone 101 is configured to perform the following actions:
(a) multiple images of a building are taken from multiple angles, enabling the generation of three-dimensional models and orthographic views of the building from the multiple images. The drone 101 may take photographs of a building, for example, from multiple angles, so that the photographs can be combined into a three-dimensional model of the building. To take a positive photograph, the drone 101 may, for example, fly directly above a building and take one or more photographs vertically or obliquely downward so that the photograph or photographs can generate a complete positive photograph of the building. The orthographic view can be understood as a top view.
(b) And sending the plurality of images to a server. For this purpose, the drone 101 may be equipped with a wireless communication module, for example a cellular communication module, a bluetooth module, an infrared communication module, etc.
A server configured to perform the following actions:
(a) and generating a three-dimensional model and a positive shot map of the building according to the plurality of images. For example, a comparison with actual size 1: a three-dimensional model and a two-dimensional orthographic view at a scale of 1, thereby providing a data base for accurately formulating an installation plan. Image synthesis may utilize existing image processing techniques, such as stitching of multiple images, and techniques for building three-dimensional models using multi-angle images. For example, three-dimensional modeling may be performed by a modeling engine server.
(b) And determining an installation scheme of the solar power station on the building according to the three-dimensional model and the positive image. The mounting 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 to this, the installation solution 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 customized to various building shapes and terrains, including installation location and solar power station make and model, among others. Installation rules may also include various rules, such as: how to install solar power stations near various obstacles; how and what power plants are installed on buildings of various orientations and slopes; how to divide a building into a number of spaces where power plants can be installed, how large power plants are installed and in each space, etc.
(c) And sending the installation scheme to a client. This may be done, for example, over a wireless communication connection. The installation plan may be digitized parameter data or image data of an installation map.
(d) A user modification to the installation scenario is received from the client. The system allows a user to manually draw and set buildings and obstacles on the 2D positive shot picture, and after the drawing is completed by the user, the system can automatically identify and display the information such as the size of the building, the area of the building, the azimuth angle of the building, the slope angle of the building and the like. The system supports automatic identification of the roof and the obstacles, displays the height of the obstacles and the influence of corresponding shadows in real time after the obstacles are drawn, and automatically avoids the shadows when the assemblies are arranged. In a 3D live-action model window, the system supports the measurement of the lengths of any two points, the measurement of the area of any plane and the arrangement of display components, can freely perform operations such as rotation, zooming, dragging, light and shadow simulation and the like, and also supports the one-key switching to a 45-degree oblique view or a completely overlooked view angle. In the 2D positive shooting window, the system supports operations of building drawing, obstacle drawing, display component arrangement, free zooming, dragging and the like.
(e) Generating an updated installation plan based on the modification. This may include, for example, optimizing the power generation based on a user-modified profile, such as modifying the solar generator type, size, location, etc., or receiving a user modification and adapting the profile.
(f) Resource evaluation is optionally performed. After the user finishes drawing and setting the buildings and the obstacles, the system can realize one-click resource assessment. The resource assessment content comprises but is not limited to intelligent equipment type selection, capacity and design scheme assessment, power generation amount measurement and calculation, asset information recommendation such as financing mode and financing rate, subsidy information matching, enterprise power consumption information calculation, cost and cost estimation, financial measurement and calculation, investment income assessment 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, acquire geographical location information of the building and associated historical weather data, such as invoking GPS positioning data or electronic map data to acquire the geographical location information, invoking a weather database to acquire historical weather data for the site, such as average sunshine duration and average sunshine intensity, and so forth.
(g) Optionally optimizing the installation scheme based on the resource assessment results. The server may for example optimize the installation scenario based on relevant data such as geographical data of the building and historical meteorological data, adjust the position or orientation of the solar power station, e.g. based on light conditions, select the respective brand or model, etc. After the optimization is finished, the capacity or the power generation amount is recalculated. The optimization process may iterate multiple times until an optimal result is achieved. In the present invention, capacity refers to 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 include, for example: mobile devices, such as smart phones, laptop computers, personal digital assistants, tablet computers, and the like; or a stationary device such as a desktop. Displaying the installation scheme to the user may include, for example, displaying the installation scheme on a display or outputting the installation scheme via a printer or other device. In addition, the user can draw buildings, obstacles and execute related functional operations in a 2D view through the client, or perform operations such as real-scene model viewing and obstacle measurement in a 3D view.
(b) Receiving a modification to the installation scenario from a user. The user's 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 result is automatically refreshed in the 2D view and the 3D view.
(c) Sending the modification to a server. The modification may be a modification of a key parameter or may be a graphical modification.
(d) An updated installation scheme is received from the server. The updated installation schema is generated by the server based on the user modifications.
(e) The updated installation scheme is displayed to the user. Examples of the display mode include output through a display, a speaker, a printer, and the like.
Further, the system may optionally perform the following operations:
Figure BDA0001915175630000081
and attaching the generated 3D live-action model and/or the positioning of the 2D positive shot map to the satellite map based on the longitude and latitude of the target building.
Figure BDA0001915175630000091
On the client, the user can zoom or drag the 2D positive image freely.
Figure BDA0001915175630000092
In a 2D view, polygons may be drawn on a 2D orthographic view to represent buildings or obstacles. Building types are generally divided into flat buildings and inclined buildings, the buildings being the areas where the components are installed. The obstacle refers to an object which itself or its shadow may affect the area where the power plant is installed. After the building is drawn, the building is constructedThe power plant or its component arrangement will be automatically generated according to default settings. The power plant or its component arrangement of the building structure will be automatically updated when obstacles are added or removed. The power plant or its component arrangement of the building will be automatically updated when the power plant or its component arrangement settings are modified. The power station or the component arrangement content thereof comprises a component brand, a component model, an installation mode, an installation row number and the like. According to the component brand and the component model selected by the user, matching query can be performed in the equipment library, and the size parameter and the electrical parameter of the corresponding component can be obtained.
Figure BDA0001915175630000093
The user can freely rotate, zoom or drag the 3D live-action model. In the 3D view, the user can perform 45 ° oblique view viewing or top view viewing on 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 measure the area of multiple points of any plane in the 3D real scene model. The component arrangement in the 3D view will follow the power plant or its component arrangement in synchronization.
Figure BDA0001915175630000094
Based on the identified or drawn building polygon, the area of the corresponding area of the polygon can be automatically calculated in a coordinate point calculation mode, and the length of each side of the polygon is displayed.
Figure BDA0001915175630000095
Based on the drawn building polygon, the generated 3D real scene model is combined, and the azimuth angle and the gradient angle of the building corresponding to the polygon can be automatically identified through an image identification method.
Figure BDA0001915175630000096
Based on what has been drawnThe position, the area and the height of the obstacle corresponding to the polygon can be automatically identified through an image identification method by combining the generated 3D live-action model and the 2D positive shot image.
Figure BDA0001915175630000097
Based on the drawn building polygon, the corresponding shadow of the fence or the parapet corresponding to each side length of the polygon can be automatically calculated through longitude and latitude, the height of the fence or the parapet and the sun track.
Figure BDA0001915175630000098
Based on the drawn barrier polygon, the corresponding shadow of the barrier can be automatically calculated through longitude and latitude, the height of the barrier and the sun track.
Figure BDA0001915175630000099
Based on the generated design solutions, the system recommends the maximum capacity solution as a default value by default.
Figure BDA00019151756300000910
According to the generated design scheme, the inverter model selection is completed, the generated energy measurement and calculation are carried out, the typical manufacturing cost of the system is automatically generated, the electricity subsidy is matched and searched through the subsidy database, the electricity price is matched and searched through the electricity price database, and the investment scheme is automatically generated.
Figure BDA0001915175630000101
The system recommends the inverter model by default according to the capacity of a single building and the similarity of a plurality of buildings, and a user can select an inverter to be adopted in an equipment parameter library.
Figure BDA0001915175630000102
According to the recognized longitude and latitude, the typical meteorological annual data of the area where the building is located can be obtained, and SAM is calledAnd the SDK calculates the system power generation amount and returns results of annual equivalent full-time, annual cumulative horizontal irradiation, PR and the like.
Figure BDA0001915175630000103
According to the generated design scheme, the cost subdivision closest to the project characteristics can be generated through interpolation calculation of the matching query cost library, and the newly generated cost subdivision is added into the cost library.
Figure BDA0001915175630000104
According to the recognized longitude and latitude, the national subsidy, provincial subsidy and city subsidy of the area where the building is located can be obtained by matching and inquiring the electricity price subsidy library.
Figure BDA0001915175630000105
According to the recognized longitude and latitude, the power price of the enterprise in the area where the building is located can be obtained through matching and inquiring the power price library, and the weighted power price is calculated by combining the generated energy.
Figure BDA0001915175630000106
According to the generated design scheme, the asset information closest to the project characteristics can be obtained by matching and querying the asset information base, and the newly generated asset information is added into the asset information base. The asset information comprises the contents of financing mode, financing rate, cash flow discount, operation and maintenance cost and mode and the like.
Figure BDA0001915175630000107
And calculating corresponding recovery years, IRR and the like through a cash flow model. When adjusting the results returned by claim 15/16/17/18/19, the corresponding recovery years, IRRs, etc. are recalculated.
Figure BDA0001915175630000108
The generated design may be converted to dwg drawings for downloading.
Figure BDA0001915175630000109
The generated report can be converted into an HTML format and then converted into a PDF for downloading.
The invention has at least the following beneficial effects: (1) the invention realizes unmanned surveying and mapping of project buildings, and avoids the potential personal safety hazard existing in climbing buildings; (2) according to the invention, project scene modeling is carried out by using a digital technology, so that automatic design and resource evaluation of a project power station are completed based on a 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 real scene is adopted, an accurate solar power station installation scheme can be formulated, and therefore labor of manual design and calculation is avoided.
Fig. 2 shows a flow of a method 200 for determining an installation scenario of a solar power station by unmanned aerial vehicle aerial photography according to the invention, wherein the dashed boxes represent optional steps.
At step 202, a plurality of images of a building are taken by a drone. The drone may take photographs of a building, for example, from multiple angles, so that the photographs can be combined into a three-dimensional model of the building.
At step 204, a three-dimensional model and a proactive map of the building are generated from the plurality of images. Image synthesis may utilize existing image processing techniques, such as stitching of multiple images, and techniques for building three-dimensional models using multi-angle images. For example, three-dimensional modeling may be performed by a modeling engine server.
In step 206, the installation scheme of the solar power station on the building is determined according to the three-dimensional model and the positive image. The mounting 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 to this, the installation solution 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 picture, and after the drawing is completed by the user, the system can automatically identify and display the information such as the size of the building, the area of the building, the azimuth angle of the building, the slope angle of the building 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.
At 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 site, such as average sunshine duration and average sunshine intensity, etc.
At optional step 214, the power generation of the solar power plant is determined based on the geographic location and historical meteorological data and the installation plan. The power generation amount may be calculated, for example, according to a 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 scenario based on relevant data such as geographical data of the building and historical meteorological data, adjust the position or orientation of the solar power station, e.g. based on light conditions, select the respective brand or model, etc. And after the optimization is finished, recalculating the power generation amount. The optimization process may iterate multiple times until an optimal result is achieved.
Although some embodiments of the present invention have been described herein, those skilled in the art will appreciate that they have been presented by way of example only. Numerous variations, substitutions and modifications will occur to those skilled in the art in light of the teachings of the present invention without departing from the scope thereof. It is intended that the following claims define the scope of the invention and that methods and structures within the scope of these claims and their equivalents be covered thereby.

Claims (10)

1. A method of determining an installation scenario for a solar power station by unmanned aerial vehicle aerial photography, comprising:
shooting a plurality of images of a building by an unmanned aerial vehicle;
generating a three-dimensional model and a positive shot map of a building from the plurality of images; and
and determining an installation scheme of the solar power station on the building according to the three-dimensional model and the positive image.
2. The method of claim 1, wherein generating a three-dimensional model and a proactive map of a building from the plurality of images comprises:
and synthesizing a three-dimensional model and a two-dimensional positive shot image in a ratio of 1:1 to the actual size according to the plurality of images.
3. The method of claim 1, wherein determining an installation plan for a solar power station on a building from the three-dimensional model and the proactive map comprises:
determining the orientation and gradient of the building according to the three-dimensional model;
determining the installable area of the building according to the orientation and gradient of the building and a positive map of the building; and
arranging solar power stations according to the mountable area.
4. The method of claim 3, 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.
5. The method of claim 1, further comprising:
displaying the three-dimensional model and the positive shot image to a user in a webpage or an application window;
receiving a query from a user for a solar power station;
searching the parameters of the solar power station matched with the query in the equipment library; and
and displaying the parameters to a user.
6. 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.
7. The method of claim 1, further comprising:
determining a geographical location of a building;
acquiring historical meteorological data of an area where a building is located;
determining the capacity or the power generation capacity of the solar power station according to the geographic position, the historical meteorological data and the installation scheme; and
adjusting the installation scheme to maximize the capacity or power generation.
8. The method of claim 7, further comprising:
determining electricity price and electricity price subsidies 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.
9. A system for determining an installation scenario for 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
sending the plurality of images to a server;
a server configured to perform the following actions:
generating a three-dimensional model and a positive shot map of a building from the plurality of images;
determining an installation scheme of the solar power station on the building according to the three-dimensional model and the positive shot image;
sending the installation scheme to a client;
receiving a user modification to the installation scheme from the client; and
generating an updated installation plan 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 scenario from a user;
sending the modification to a server;
receiving an updated installation plan from the server; and
the updated installation scheme is displayed to the user.
10. The system of claim 9, wherein the server is further configured to perform the following acts:
determining a geographical location of a building;
acquiring historical meteorological data of an area where a building is located;
determining the capacity or the power generation capacity of the solar power station according to the geographic position, the historical meteorological data and the installation scheme;
adjusting the installation scheme to maximize the capacity or power generation;
determining electricity price and electricity price subsidies 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.
CN201811569682.2A 2018-12-21 2018-12-21 Method for determining installation scheme of solar power station through unmanned aerial vehicle aerial photography Active CN111354068B (en)

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