Design method of household photovoltaic system and related product

Abstract

The invention provides a design method of a household photovoltaic system and a related product. The design method of the household photovoltaic system comprises the following steps: acquiring basic information of a to-be-built area; controlling the unmanned aerial vehicle to shoot the to-be-built area according to the basic information to obtain a survey image; generating a three-dimensional model of the to-be-built area according to the survey image; analyzing the three-dimensional model to obtain survey feature data of the photovoltaic panel laying area; performing simulation design on the photovoltaic panel laying area according to the survey feature data to obtain one or more alternative schemes; and superposing the models of the alternative schemes on the three-dimensional model of the to-be-built area to generate a display model of the household photovoltaic system. According to the scheme, the surveying process is rapid and efficient, the workload of surveying personnel is reduced, the problems that the surveying difficulty is increased and surveying data is inaccurate due to the fact that the field environment is severe are solved, and further popularization of the household photovoltaic system is facilitated.

Description

Technical Field

[0001] The present invention relates to the field of power station design, and in particular to a design method and related products of a household photovoltaic system. Background Art

[0002] Photovoltaic power generation is one of the fastest growing renewable energy sources in recent years, with the advantages of being clean, safe and efficient. In recent years, with the promotion of new energy and policy support, the new power generation capacity of photovoltaic power generation has developed rapidly.

[0003] In the early survey of traditional photovoltaic power stations, on-site surveys are conducted by personnel, total stations, and global positioning systems (GPS)-real-time kinematic (RTK) technology. Then, designers conduct photovoltaic design based on the results of the on-site surveys and provide design drawings to the construction party. This on-site survey and design method has a large survey task, a long design cycle, and high design costs, and it is difficult to meet the project construction progress and results requirements.

[0004] In particular, the design of household photovoltaic systems involves a large number of projects, diverse requirements, and low design costs. Traditional photovoltaic power station design methods are more difficult to meet the needs of construction owners. Based on this problem, some automatic design technologies have been proposed in the prior art to improve design efficiency. However, in actual applications, due to the complex terrain and irregular shape of the installation site of household photovoltaic systems, the existing automatic design is difficult to meet the design requirements and still requires a lot of on-site surveys. Summary of the invention

[0005] An object of the present invention is to provide a design method and related products for household photovoltaic systems that improve design efficiency and reduce the workload of on-site survey personnel.

[0006] A further object of the present invention is to provide a display model of a household photovoltaic system to intuitively display the design effect.

[0007] Another further object of the present invention is to improve the accuracy of surveying.

[0008] In particular, the present invention provides a design method for a household photovoltaic system. The method comprises:

[0009] Obtain basic information about the area to be built;

[0010] Control the drone to shoot the area to be built based on the basic information to obtain survey images;

[0011] Generate a three-dimensional model of the area to be built based on the survey images;

[0012] Analyze the three-dimensional model to obtain survey characteristic data of the photovoltaic panel laying area;

[0013] Perform simulation design on the photovoltaic panel laying area according to the survey characteristic data to obtain one or more alternative solutions;

[0014] The model of the alternative solution is superimposed on the three-dimensional model of the area to be built to generate a display model of the household photovoltaic system.

[0015] Optionally, the basic information includes: location information, terrain information, and grid access equipment information; and

[0016] The step of obtaining the location information and the terrain information includes: reading the location information and the terrain information from the location of the area to be built selected in the preset map;

[0017] The step of acquiring the information of the grid-connected device includes: sending a query request to the grid management device according to the location information, and acquiring the information of the grid-connected device in response to the query request from the grid management device.

[0018] Optionally, the step of controlling the drone to photograph the area to be built according to the basic information includes:

[0019] Control the UAV to conduct initial survey and photography of the area to be built to obtain the initial image;

[0020] Setting marker points on the initial image, dividing the initial image into objects based on the marker points, so as to at least determine the installation object, and estimate the area and terrain characteristics of the installation object;

[0021] Design an aerial photography plan based on the area and terrain characteristics of the installation object. The aerial photography plan includes the flight parameters and shooting parameters of the drone.

[0022] The unmanned aerial vehicle is controlled to perform a first survey and photography around the installation object according to the aerial photography plan to obtain a survey image of the installation object.

[0023] Optionally, the initial aerial image is segmented into objects based on the marker points to further determine surrounding environment objects, and after obtaining the survey image, the following steps are further included:

[0024] Controlling the UAV to perform a second survey and shooting of the surrounding environment objects to obtain a survey image of the surrounding environment objects;

[0025] The survey image of the installation object and the survey image of the surrounding environment objects are spliced ​​to obtain a survey image of the area to be built.

[0026] Optionally, the step of stitching the survey image of the installation object and the survey image of the surrounding environment object includes:

[0027] Perform angle matching on the survey image of the installation object and the survey image of the surrounding environment object to find multiple pairs of matching images;

[0028] Perform grayscale histogram equalization processing and geometric distortion elimination on multiple pairs of matching images to obtain multiple groups of images to be stitched;

[0029] Feature information is extracted from multiple groups of images to be stitched respectively, and image stitching and fusion are performed according to the feature information to obtain multi-angle survey images of the area to be built.

[0030] Optionally, the step of generating a three-dimensional model of the area to be built according to the survey image includes:

[0031] Discretize the survey image using set grid points to generate point cloud data of the area to be built;

[0032] Use point cloud data to construct the surface and obtain the surface model;

[0033] Perform object recognition on survey images to determine object boundaries;

[0034] Compare the object boundary with the surface model and perform contour segmentation on the surface model;

[0035] The surface model after contour segmentation is visualized to obtain a three-dimensional model.

[0036] Optionally, the step of visualizing the surface model after contour segmentation to obtain a three-dimensional model includes:

[0037] The surface model after contour segmentation is subjected to object entity processing to obtain contour surfaces of multiple objects;

[0038] Collect color and pattern features of multiple objects in survey images;

[0039] The appearance of the contour surfaces of multiple objects is processed according to color and pattern characteristics to obtain a three-dimensional model of the area to be built.

[0040] Optionally, after obtaining the three-dimensional model of the area to be built, the method further includes:

[0041] Perform data statistics on the three-dimensional model to obtain data information of the three-dimensional model;

[0042] Assign attribute information to multiple objects in a 3D model.

[0043] Optionally, the step of simulating and designing the photovoltaic panel laying area according to the survey characteristic data includes:

[0044] According to the survey characteristic data, the technical index and economic index of various optional photovoltaic laying methods are estimated and calculated for the photovoltaic panel laying area;

[0045] According to the results of technical index estimation and economic index estimation, the performance of different photovoltaic laying methods is compared;

[0046] One or more alternatives are selected from various optional photovoltaic laying methods based on the performance comparison results.

[0047] Optionally, the step of superimposing the model of the alternative solution on the three-dimensional model of the area to be built includes:

[0048] Retrieve the unit model and installation model of the photovoltaic panel; splice the unit model and the installation model according to the alternative solution to obtain the model of the alternative solution;

[0049] The models of alternative solutions are spliced ​​onto the 3D model of the area to be built.

[0050] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, which implements the steps of any of the above-mentioned methods for designing a household photovoltaic system when executed by a processor.

[0051] According to another aspect of the present invention, there is also provided a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned methods for designing a household photovoltaic system are implemented.

[0052] According to another aspect of the present invention, a computer device is provided, which includes a memory, a processor and a computer program stored in the memory, and the processor executes the computer program to implement any of the steps of the above-mentioned method for designing a household photovoltaic system.

[0053] The design method of the household photovoltaic system of the present invention uses a drone to photograph the area to be built to obtain a survey image, and by virtue of the characteristics of the drone's flexibility and low cost, the field survey results are obtained quickly and efficiently. A three-dimensional model of the area to be built is further generated based on the survey image; the three-dimensional model is analyzed to obtain survey feature data of the photovoltaic panel laying area. The survey process is fast and efficient, reducing the workload of survey personnel and solving the problems of increased survey difficulty and inaccurate survey data caused by the harsh on-site environment.

[0054] Furthermore, the design method of the household photovoltaic system of the present invention generates a three-dimensional model of the area to be built based on the survey image, which is convenient for intuitively understanding the situation of the area to be built. The method further superimposes the model of the alternative plan on the three-dimensional model of the area to be built to generate a display model of the household photovoltaic system. The construction owner can quickly and intuitively obtain the photovoltaic construction results, reduce the survey cost, and greatly facilitate the further promotion of household photovoltaic systems.

[0055] Furthermore, the design method of the household photovoltaic system of the present invention improves the intelligence of the design by developing and utilizing survey images, automatically setting landmark points and designing aerial photography plans, further reduces the operations of survey personnel, streamlines the survey operation process, and shortens the survey time.

[0056] Furthermore, the design method of the household photovoltaic system of the present invention can complete drone surveys, 3D modeling, photovoltaic design, technical indicator estimation calculations, and economic indicator estimation calculations in one stop, digitally manage the entire process, and improve the business efficiency and response speed of photovoltaic power station construction. It has good application prospects and promotion value.

[0057] Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will become more aware of the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings:

[0059] Figure 1 is a schematic diagram of a design system architecture of a design method for a photovoltaic system for a user according to an embodiment of the present invention;

[0060] Figure 2 is a schematic diagram of a design method for a household photovoltaic system according to an embodiment of the present invention;

[0061] Figure 3 is a schematic diagram of a process of performing aerial photography of an area to be built by a drone in a design method for a household photovoltaic system according to an embodiment of the present invention;

[0062] Figure 4 It is a schematic diagram of a process of generating a three-dimensional model of a to-be-built area in a design method for a household photovoltaic system according to an embodiment of the present invention;

[0063] Figure 5 It is a schematic diagram of a process of simulating and designing a photovoltaic panel laying area in a design method for a household photovoltaic system according to an embodiment of the present invention;

[0064] Figure 6 is a schematic diagram of a three-dimensional model of an area to be built obtained by surveying a design method for a household photovoltaic system according to an embodiment of the present invention;

[0065] Figure 7 yes Figure 6 The top view of the model is shown after the 3D model is superimposed with photovoltaic panels;

[0066] Figure 8 is a schematic diagram of a computer program product according to an embodiment of the present invention;

[0067] Fig. 9 is a schematic diagram of a computer-readable storage medium according to an embodiment of the present invention; and

[0068] Fig.10 is a schematic block diagram of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0069] It should be understood by those skilled in the art that the embodiments described below are only some embodiments of the present invention, rather than all embodiments of the present invention, and these embodiments are intended to explain the technical principles of the present invention, rather than to limit the protection scope of the present invention. Based on the embodiments provided by the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should still fall within the protection scope of the present invention.

[0070] Figure 1 1 is a schematic diagram of a design system architecture of a design method for a photovoltaic system for a household appliance according to an embodiment of the present invention. The design system may include: a drone 10, a wireless communication device 20, a data processing device 30, and an interactive terminal 40.

[0071] The drone 10 may include: a flight control system, a positioning system, an aerial photography system, and a measurement system. The flight control system is used to adjust the flight attitude (including altitude, speed, and direction) of the drone, and the positioning system is used to obtain the location information of the drone 10, which may use positioning devices such as GPS and Beidou. The aerial photography system is used to photograph the target during flight. In order to realize the functions of the method of this embodiment, the aerial photography system uses a camera with adjustable focal length and shooting parameters that meet the design requirements. The measurement system is used to record the flight process of the drone 10 and collect status data such as flight altitude, flight attitude, and shooting parameters.

[0072] The drone 10 exchanges data with the data processing device 30 through the wireless communication device 20, and transmits its own flight data and the data of the airborne equipment (positioning system, aerial photography system, and measurement system) to the data processing device 30. The data processing device 30 collects and processes the data provided by the drone 10 to complete the flight control of the drone 10. With the characteristics of the drone's flexibility and low cost, it completes the functions that cannot be achieved by traditional manual surveys, greatly improving the processing efficiency.

[0073] The wireless communication device 20 can select a communication method according to actual communication conditions, such as 5G, Wi-Fi, Bluetooth, etc. The interactive terminal 40 is data-connected to the drone 10 and the data processing device 30, respectively, and can display the interface generated by the drone 10 and the data processing device 30, and serve as an interactive device with survey and design personnel to provide manual instructions to the drone 10 and the data processing device 30, and adjust the operating status and processing results of the drone 10 and the data processing device 30. The interactive terminal 40 may include a personal computer, a smart phone, a tablet computer, or other dedicated electronic client devices with a survey application installed.

[0074] Household photovoltaic systems are solar photovoltaic power generation systems designed for families or small users, and are usually required to be compact and highly adaptable. The solution of this embodiment can be flexibly installed according to the installation surface structure (such as slope, plane) and area of ​​different buildings. Especially for complex photovoltaic installation scenarios of self-built houses in rural areas, the design of the photovoltaic system can be flexibly implemented, which can significantly reduce the design cost while improving efficiency.

[0075] This embodiment first provides a design method for a household photovoltaic system. The method can be executed by the above-mentioned data processing device 30 to complete the survey and design work of the area to be built for the household photovoltaic system. Figure 2 Schematic diagram of a design method for a household photovoltaic system according to an embodiment of the present invention. The design method for a household photovoltaic system may generally include:

[0076] Step S201, obtain the basic information of the area to be built. The basic information may include: location information, terrain information, and grid access equipment information. The location information includes the geographic coordinates (latitude and longitude) of the area to be built, the administrative area address (administrative divisions, road house numbers), the distance to surrounding markers, etc. The terrain information includes the altitude, slope and slope direction (the degree of inclination and inclination direction of the ground), the type of foundation layout (roof, wall, ground, other supports), landform type, and infrastructure information (foundation surface flatness, foundation surface covering type). The grid access equipment information includes the access transformer capacity, inverter type, PCS specifications, etc.

[0077] The step of obtaining the position information and terrain information may include: reading the position information and terrain information from the position of the area to be built selected from the preset map. The map may be a digital map, which is obtained by digitally processing geographic information using computer technology, and in addition to graphics, may also include relevant data such as terrain data, vector data, and description information. In actual application, the method of this embodiment may determine the position of the area to be built on the digital map through the selection operation of the surveyor on the map or according to the input selection information, and read the corresponding position information and terrain information. The position information and terrain information are used as positioning information for surveying on the one hand, and can also be used as basic data for surveying on the other hand.

[0078] The step of obtaining the information of the equipment connected to the grid includes: sending a query request to the grid management device according to the location information, and obtaining the information of the equipment connected to the grid in response to the query request from the grid management device. The grid management device can find the corresponding equipment information connected to the grid according to the grid deployment data of the area to be built. The equipment information connected to the grid can be used to limit the technical indicators and economic indicators of the photovoltaic system, such as providing the capacity limit parameters of the photovoltaic system, the consumable cost of the photovoltaic equipment connected to the grid (cable specifications and quantity, transformer and PCS expansion cost, etc.), and the grid's restriction conditions for absorbing microgrid power transmission (whether to operate reverse transmission to the grid, and the grid electricity price).

[0079] Step S202: Control the drone to take photos of the area to be built according to the basic information to obtain a survey image. The survey image can be multiple images at different angles, reflecting the conditions of the area to be built at different angles.

[0080] Step S203: generating a three-dimensional model of the area to be built according to the survey image.

[0081] Step S204: Analyze the three-dimensional model to obtain survey feature data of the photovoltaic panel laying area. The survey feature data includes: shape, area, inclination, orientation, height, etc. of the photovoltaic panel laying area.

[0082] Step S205 , performing simulation design on the photovoltaic panel laying area according to the survey characteristic data to obtain one or more alternative solutions.

[0083] Step S206, superimposing the model of the alternative solution on the three-dimensional model of the area to be built to generate a display model of the household photovoltaic system.

[0084] The above-mentioned design method for household photovoltaic systems uses drones to photograph the area to be built to obtain survey images, and with the help of the maneuverability and low cost of drones, the field survey results can be obtained quickly and efficiently. A three-dimensional model of the area to be built is further generated based on the survey image; the three-dimensional model is analyzed to obtain the survey feature data of the photovoltaic panel laying area. The survey process is fast and efficient, which reduces the workload of the survey personnel and solves the problems of increased survey difficulty and inaccurate survey data caused by the harsh on-site environment. The above-mentioned design method for household photovoltaic systems generates a three-dimensional model of the area to be built based on the survey image, which is convenient for intuitively understanding the situation of the area to be built. This method further superimposes the model of the alternative plan on the three-dimensional model of the area to be built to generate a display model of the household photovoltaic system. Construction owners can quickly and intuitively obtain photovoltaic construction results, reduce survey costs, and greatly facilitate the further promotion of household photovoltaic systems.

[0085] For areas with complex terrain where photovoltaic systems are to be built, traditional terrain and edge measurement methods are difficult to operate, have low accuracy, and low efficiency in data transmission between computer automatic design software. The design method of the household photovoltaic system in this embodiment optimizes the drone's shooting process and data processing process to achieve more efficient surveying. Figure 3 The present invention is a schematic diagram of a process of performing aerial photography of a to-be-built area by a drone in a design method for a household photovoltaic system according to an embodiment of the present invention. The steps of controlling the drone to photograph the to-be-built area based on basic information include:

[0086] Step S301, control the drone to perform initial survey and photography of the area to be constructed, and obtain an initial image. The initial survey and photography can be performed using the drone's default cruise mode. For example, the drone can photograph the area to be constructed at a certain height in a preset scanning photography mode (such as reciprocating flight along a straight line). The initial image obtained is used to obtain a general understanding of the area to be constructed.

[0087] Step S302, set marker points for the initial image, and divide the initial image into objects based on the marker points to at least determine the installation object and estimate the regional area and terrain characteristics of the installation object. The marker points can be obtained by analyzing the initial image, for example, by finding obvious marker points using pixel threshold segmentation, edge detection, regional growth clustering, machine learning model classification, etc. The marker points may include points such as demarcation points, edge points, feature intensity change points, cluster centers or representative points. In addition to the installation objects (installation roofs, installation walls, vacant ground, etc.), the objects obtained by object division may also include the basic objects of the installation objects (installed building objects, walls, supports, etc.). The estimated regional area and terrain characteristics of the installation object are used for the formulation of the aerial photography plan, not the final survey results.

[0088] Step S303, design an aerial photography plan according to the area and terrain characteristics of the installation object. The aerial photography plan includes the flight parameters and shooting parameters of the drone. The flight parameters may include calculating the navigation altitude, speed, route length, flight time and other data. To ensure the accuracy of the measurement, the same target position can be photographed from at least three directions. The aerial photography plan requires that the captured images have a certain degree of overlap to facilitate subsequent stitching. The aerial photography plan can shoot in multiple directions and at multiple heights for the installation object.

[0089] Step S304, control the drone to perform a first survey and shooting around the installation object according to the aerial photography plan to obtain a survey image of the installation object. The survey image of the installation object may include images taken from multiple directions and multiple heights from multiple shooting points. The shooting points can be arranged in an open, unobstructed location with a large shooting range. After the first survey and shooting is completed, the shooting quality of the survey image (such as clarity, overlap, occlusion status, etc.) can be checked. If an image that does not meet the requirements appears, repeat the shooting.

[0090] Step S305, control the drone to perform a second survey and photography of the surrounding environment objects to obtain a survey image of the surrounding environment objects. The second survey and photography photographs the periphery of the installation object to obtain an image reflecting the overall state of the area to be built.

[0091] Step S306, stitching the survey image of the installation object and the survey image of the surrounding environment object to obtain the survey image of the area to be built. An optional survey image stitching method includes: performing angle matching on the survey image of the installation object and the survey image of the surrounding environment object to find multiple pairs of matching images; performing grayscale histogram equalization processing and geometric distortion elimination on the multiple pairs of matching images to obtain multiple groups of images to be stitched; extracting feature information from the multiple groups of images to be stitched, stitching and fusing the images according to the feature information, and obtaining multi-angle survey images of the area to be built.

[0092] Angle matching can be done by searching for images with similar shooting directions and shooting ranges through the flight records of drones. The matching images found have similar angles, which can reduce the image calculations (including image translation, scaling, and twisting) in the stitching process and improve processing efficiency. Grayscale histogram equalization and geometric distortion elimination can eliminate the problems caused by geometric distortion and color brightness differences in image processing.

[0093] Feature information is extracted from multiple groups of images to be spliced, and an image transformation model can be established based on the matched features, and finally transformation mapping is performed. The transformation mapping of the method of this embodiment first uses point, line and angle features to estimate the homography matrix of the global transformation, and pre-aligns the spliced ​​images; then the image is gridded, and the grid deformation is constrained by the energy function to achieve grid refinement alignment. Since the shooting angle is matched in advance, the complexity of the image transformation model can be reduced. The image alignment process can use a feature-based image registration method. Alignment is performed by adding feature line segments and feature points of the shooting angle, which greatly reduces the amount of calculation. For example, the scale-invariant feature transformation algorithm (ScaleInvariant Feature Transform, referred to as SIFT) can be used to determine the feature points of the image and the angle information of the feature points; for example, the line segment detector (LSD) can be used to extract the straight line characteristics of the image.

[0094] Image stitching and fusion are performed based on feature information to convert each pixel of the transformed image into the same image, and then the image fusion method is used to perform pixel fusion on the transition area of ​​the stitched image to optimize the image stitching quality.

[0095] The survey images of the area to be built obtained in the above steps reflect the characteristics of the installation object and the surrounding environment objects from different angles. Compared with the prior art in which surveyors manually set marker points and aerial photography points for the area to be built, the method of this embodiment uses three aerial photography to complete the entire survey task, designs the aerial photography plan with the help of the initial images obtained by the initial survey, and automatically completes the aerial photography task, which has a higher accuracy rate and reduces the dependence on the operation of the surveyors.

[0096] Figure 4 The present invention is a schematic diagram of a flow chart of generating a three-dimensional model of a to-be-built area in a design method for a household photovoltaic system according to an embodiment of the present invention. The step of generating a three-dimensional model of a to-be-built area based on a survey image may include:

[0097] Step S401, discretize the survey image using set grid points to generate point cloud data of the area to be constructed. One discretization method is: discretize using three-dimensional space grid points, and then sample a point in each grid point. Each small grid contains several points, and the point closest to the center point of the grid is taken as the discrete sampling point.

[0098] Step S402, using the point cloud data to construct a surface to obtain a surface model; the data captured by the drone can be processed to obtain sufficient point cloud data. Through surface construction, a surface model in the form of a point cloud can be obtained.

[0099] Step S403: perform object recognition on the survey image to determine the object boundary. The object recognition results include: installation objects (installation roofs, installation walls, vacant ground, etc.), basic objects of installation objects (installed building objects, walls, supports, etc.), surrounding environment objects, etc.

[0100] Step S404: compare the object boundary with the surface model and perform contour segmentation on the surface model.

[0101] Step S405, visualize the surface model after contour segmentation to obtain a three-dimensional model. The specific visualization process may include: performing object entity processing on the surface model after contour segmentation to obtain contour surfaces of multiple objects; collecting color and pattern features of multiple objects in the survey image; performing appearance processing on the contour surfaces of multiple objects according to the color and pattern features to obtain a three-dimensional model of the area to be built.

[0102] The final three-dimensional model of the area to be built is similar to the actual visual state of the area to be built, which is convenient for the owner of the photovoltaic system to intuitively understand the situation of the area to be built. After obtaining the three-dimensional model of the area to be built, it also includes: performing data statistics on the three-dimensional model to obtain data information of the three-dimensional model; assigning attribute information to multiple objects of the three-dimensional model. The data information of the three-dimensional model includes: coordinates, elevation data, area, length, height, slope, direction, etc., which can be read from the three-dimensional model. Object attribute information includes: project name, object type, etc.

[0103] Figure 5 The present invention is a schematic diagram of a flow chart of simulating and designing a photovoltaic panel laying area in a design method for a household photovoltaic system according to an embodiment of the present invention. The steps of simulating and designing a photovoltaic panel laying area according to survey feature data may include:

[0104] Step S501 , performing technical index estimation calculation and economic index estimation calculation of various optional photovoltaic laying methods for the photovoltaic panel laying area according to the survey characteristic data.

[0105] Technical indicators may include: installed capacity (kWp), comprehensive reduction coefficient (%), annual utilization hours (h), annual average power generation (MWh) and multi-year average utilization hours (h). The technical indicator estimation calculation process may include: determining the installed capacity of each solar photovoltaic panel arrangement method, determining the installed capacity restriction conditions based on the grid access equipment information obtained, and re-modifying the photovoltaic laying method to reduce the installed capacity if the installed capacity of various optional photovoltaic laying methods exceeds the installed capacity restriction conditions; determining the comprehensive reduction coefficient based on the type of solar photovoltaic panels; calculating the annual power generation of the photovoltaic power station based on the parameters such as the photovoltaic power station lighting resource conditions, installed capacity, comprehensive reduction coefficient and array maintenance rate under different installation methods; converting the annual utilization hours based on the calculated annual power generation of the photovoltaic system; calculating the multi-year average power generation and the multi-year average annual utilization hours based on the annual utilization hours of the photovoltaic power station and the comprehensive reduction coefficient.

[0106] The economic indicator estimation calculation estimates investment and financial indicators based on various optional photovoltaic laying methods, such as the failure rate and maintenance cost of various optional photovoltaic laying methods, component price (yuan / Wp), total static investment, static investment per unit of electricity, and financial rate of return.

[0107] Step S502: comparing the performance of different photovoltaic laying methods based on the results of the technical indicator estimation calculation and the economic indicator estimation calculation.

[0108] Step S503, one or more alternatives are selected from various optional photovoltaic laying methods according to the performance comparison results. The alternatives can be output according to the order of merit of different indicators. The optional photovoltaic laying methods may include: solar cell type (monocrystalline silicon, polycrystalline silicon, amorphous silicon), installation method (such as fixed installation, single-axis tracking, dual-axis tracking), photovoltaic panel inclination, photovoltaic panel spacing, etc.

[0109] After one or more alternatives are determined, the models of the alternatives may be superimposed on the three-dimensional model of the area to be built. The process may include:

[0110] Step S504, retrieve the unit model and installation model of the photovoltaic panel, and splice the unit model and the installation model according to the alternative solution to obtain a model of the alternative solution;

[0111] Step S505, splicing the model of the alternative solution on the three-dimensional model of the area to be built. Specifically, the step of superimposing the model of the alternative solution on the three-dimensional model of the area to be built may include: retrieving the unit model and installation model of the photovoltaic panel; splicing the unit model and the installation model according to the alternative solution to obtain the model of the alternative solution; splicing the model of the alternative solution on the three-dimensional model of the area to be built.

[0112] The above-mentioned design method of household photovoltaic system superimposes the model of the alternative scheme on the three-dimensional model of the area to be built to generate a display model of the household photovoltaic system. The construction owner can quickly and intuitively obtain the photovoltaic construction results, reduce the survey cost, and greatly facilitate the further promotion of household photovoltaic system.

[0113] Figure 6 It is a schematic diagram of a three-dimensional model of an area to be built obtained by surveying a design method for a household photovoltaic system according to an embodiment of the present invention. The roof part in the three-dimensional model serves as an installation object, and the walls and ground below the roof of the three-dimensional model serve as basic objects of the installation object. Figure 7 yes Figure 6 The top view of the display model after the photovoltaic panels are superimposed on the three-dimensional model. The display model of the household photovoltaic system can show the layout of the photovoltaic panels. The final design scheme makes the best use of the roof space.

[0114] This embodiment also provides a computer program product 112 , a computer readable storage medium 113 , and a computer device 114 . Figure 8 is a schematic diagram of a computer program product 112 according to one embodiment of the present invention, Fig. 9 is a schematic diagram of a computer-readable storage medium 113 according to an embodiment of the present invention, Fig.10 is a schematic block diagram of a computer device 114 according to one embodiment of the present invention.

[0115] The computer program product 112 includes a computer program 111, which implements the steps of any of the above-mentioned methods for designing a household photovoltaic system when executed by the processor 310. The computer-readable storage medium 113 stores the above-mentioned computer program 111, which implements the steps of any of the above-mentioned methods for designing a household photovoltaic system when executed by the processor 310. The computer device 114 may include a memory 320, a processor 310, and a computer program 111 stored in the memory 320 and running on the processor 310.

[0116] The computer program 111 used to perform the operations of the present invention can be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, configuration data of an integrated circuit, or source code or object code written in any combination of one or more programming languages ​​and procedural programming languages.

[0117] The computer program 111 may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, in order to perform various aspects of the present invention, electronic circuits including, for example, programmable logic circuits, field programmable gate arrays (FPGAs), or programmable logic arrays (PLAs) may execute computer-readable program instructions by utilizing state information of the computer-readable program instructions to personalize the electronic circuits.

[0118] In the description of this embodiment, the computer program product 112 is a related product including the computer program 111 .

[0119] For the purposes of the description of this embodiment, the computer-readable storage medium 113 is a tangible device capable of retaining and storing the computer program 111, which may be any device that can contain, store, communicate, propagate or transmit the program 111 for use with or in conjunction with an instruction execution system, device or apparatus. More specific examples (a non-exhaustive list) of the computer-readable storage medium 113 include the following: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, and any suitable combination of the foregoing.

[0120] At this point, those skilled in the art should recognize that, although multiple exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications that conform to the principles of the present invention can still be directly determined or derived based on the content disclosed in the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and recognized as covering all these other variations or modifications.

Claims

1. A design method for a household photovoltaic system, characterized in that include: Obtain basic information about the area to be built; Controlling the drone to photograph the area to be built according to the basic information to obtain a survey image; generating a three-dimensional model of the area to be built according to the survey image; Analyzing the three-dimensional model to obtain survey characteristic data of the photovoltaic panel laying area; Performing simulation design on the photovoltaic panel laying area according to the survey characteristic data to obtain one or more alternative solutions; The model of the alternative solution is superimposed on the three-dimensional model of the area to be built to generate a display model of the household photovoltaic system.

2. The design method of household photovoltaic system according to claim 1, characterized in that The basic information includes: location information, terrain information, and grid access equipment information; and The step of acquiring the position information and the terrain information comprises: reading the position information and the terrain information from the position of the area to be built selected from a preset map; The step of acquiring the grid access device information includes: sending a query request to a grid management device according to the location information, and acquiring the grid access device information from the grid management device in response to the query request.

3. The design method of household photovoltaic system according to claim 1, characterized in that The step of controlling the drone to photograph the area to be built according to the basic information includes: Controlling the UAV to perform initial survey and photography of the area to be built to obtain an initial image; Setting marker points on the initial image, and dividing the initial image into objects based on the marker points to at least determine the installation object, and estimate the area and terrain characteristics of the installation object; Designing an aerial photography plan according to the area and terrain characteristics of the installation object, wherein the aerial photography plan includes flight parameters and shooting parameters of the drone; The unmanned aerial vehicle is controlled to perform a first survey and photography around the installation object according to the aerial photography plan to obtain a survey image of the installation object.

4. The design method of household photovoltaic system according to claim 3, characterized in that The initial aerial image is segmented into objects based on the marker points to determine surrounding environment objects, and after obtaining the survey image, the following steps are further included: Controlling the UAV to perform a second survey and photography of the surrounding environment object to obtain a survey image of the surrounding environment object; The survey image of the installation object and the survey image of the surrounding environment object are spliced ​​to obtain a survey image of the area to be built.

5. The design method of household photovoltaic system according to claim 4, characterized in that: The step of stitching the survey image of the installation object and the survey image of the surrounding environment object comprises: Performing angle matching on the survey image of the installation object and the survey image of the surrounding environment object to find out a plurality of pairs of matching images; Performing grayscale histogram equalization processing and geometric distortion elimination on the multiple pairs of matching images respectively to obtain multiple groups of images to be stitched; Feature information is extracted from the multiple groups of images to be stitched respectively, and image stitching and fusion are performed according to the feature information to obtain multi-angle survey images of the area to be built.

6. The design method of household photovoltaic system according to claim 1, characterized in that: The step of generating the three-dimensional model of the area to be built according to the survey image comprises: Discretize the survey image using set grid points to generate point cloud data of the area to be built; Using the point cloud data to construct a surface to obtain a surface model; Performing object recognition on the survey image to determine the object boundary; Comparing the object boundary with the surface model, and performing contour segmentation on the surface model; The surface model after contour segmentation is visualized to obtain the three-dimensional model.

7. The design method of household photovoltaic system according to claim 6, characterized in that: The step of visualizing the surface model after contour segmentation to obtain the three-dimensional model comprises: Performing object entity processing on the surface model after the contour segmentation to obtain contour surfaces of multiple objects; collecting color and pattern features of the plurality of objects in the survey image; The appearance of the contour surfaces of the multiple objects is processed according to the color and pattern features to obtain a three-dimensional model of the area to be built.

8. The design method of household photovoltaic system according to claim 7, characterized in that: After obtaining the three-dimensional model of the area to be built, the method further includes: Performing data statistics on the three-dimensional model to obtain data information of the three-dimensional model; Attribute information is assigned to multiple objects of the three-dimensional model.

9. The design method of household photovoltaic system according to claim 1, characterized in that: The step of simulating and designing the photovoltaic panel laying area according to the survey feature data comprises: According to the survey characteristic data, the technical index estimation calculation and economic index estimation calculation of various optional photovoltaic laying methods are performed on the photovoltaic panel laying area; Performing a performance comparison of different photovoltaic laying methods based on the results of the technical indicator estimation calculation and the economic indicator estimation calculation; One or more alternative solutions are selected from the various optional photovoltaic laying methods according to the performance comparison results.

10. The design method of household photovoltaic system according to claim 1, characterized in that: The step of superimposing the model of the alternative solution on the three-dimensional model of the area to be built comprises: Retrieving the unit model and the installation model of the photovoltaic panel; splicing the unit model and the installation model according to the alternative solution to obtain a model of the alternative solution; The model of the alternative solution is spliced ​​on the three-dimensional model of the area to be built.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method for designing a household photovoltaic system according to any one of claims 1 to 10 are implemented.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that When the computer program is executed by a processor, the steps of the method for designing a household photovoltaic system according to any one of claims 1 to 10 are implemented.

13. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method for designing a household photovoltaic system according to any one of claims 1 to 10.

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