Wind farm site selection method and device

Abstract

The embodiment of the present invention discloses a method and device for site selection of a wind farm. The method for site selection of a wind farm includes: acquiring image data of multiple target wind farm sites; generating a measured digital surface model and a measured digital orthophoto map containing the target wind farm sites according to the image data of the multiple target wind farm sites; determining the target wind farm site that meets preset conditions based on the data of the target wind farm site contained in the measured digital surface model and the measured digital orthophoto map and the parameters of the wind farm to be constructed; determining the target wind farm site that meets the preset conditions as the address of the wind farm to be constructed. The technical solution of the embodiment of the present invention realizes the microscopic site selection of wind farms, and not only helps to improve the efficiency of wind farm site selection, but also helps to improve the accuracy of economic benefit evaluation of target wind farm sites, thereby promoting full utilization of wind resources in the wind power station after construction and improving the economy of wind farm construction.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of wind power technology, and in particular to a method and device for selecting a site for a wind farm. Background Art

[0002] As the development of wind power energy gradually increases, micro-site selection, as an important part of wind farm design, has also been increasingly valued by development and investment companies. The success or failure of micro-site selection directly affects the future income of the wind farm. If the micro-site selection is done well, the wind resources in the field can be fully utilized, the road and line plan of the wind farm will be more economical and reasonable, and the income of the wind farm will inevitably exceed expectations. On the contrary, it will cause a waste of wind resources, increase the cost of the road and line plan of the wind farm, and greatly reduce the income of the wind farm.

[0003] At present, the micro-site selection of wind farms generally requires manual on-site surveys, and surveyors often need to walk and climb mountains for several days in the wild. When the vegetation is dense, surveyors need to cut trees to clear the way, and there may even be interference from snakes, insects, rats, ants, etc., which greatly increases the time of on-site surveys and requires relatively high physical strength from surveyors. In addition, if traditional surveying and mapping methods are used for site selection, a lot of manpower and time costs will be invested, which will affect the efficiency of site selection. Summary of the invention

[0004] The embodiments of the present invention provide a method and device for site selection of a wind farm to realize micro-site selection of a wind farm, save time and labor costs consumed by manual surveys, improve the efficiency of site selection of wind farms, and improve the accuracy of economic benefit evaluation of target wind farm sites, so as to fully utilize the wind resources in the wind power station after construction, thereby improving the economy of wind farm construction.

[0005] In a first aspect, an embodiment of the present invention provides a method for selecting a site for a wind farm, comprising:

[0006] Acquire image data of multiple target wind farm sites;

[0007] Generating a measured digital surface model and a measured digital orthophoto map including the target wind farm sites according to the image data of the multiple target wind farm sites;

[0008] Determine the target wind farm site that meets preset conditions based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map;

[0009] The target wind farm site that meets the preset conditions is determined as the address of the wind farm to be constructed.

[0010] Optionally, image data of multiple target wind farm sites are obtained, including:

[0011] Acquire multiple target wind farm locations;

[0012] Using a preset classification method to divide the multiple target wind farm sites into at least one site set, each of the site sets includes at least one target wind farm site;

[0013] The target wind farm sites in each of the site sets are photographed by a drone to obtain image data of each of the target wind farm sites.

[0014] Optionally, the preset classification method includes a density clustering algorithm DBSCAN.

[0015] Optionally, photographing the target wind farm site in each of the site sets by using a drone includes:

[0016] The flight strip of the UAV is determined according to the flight performance of the UAV and the distribution of the site set, and the UAV is used to photograph the target wind farm sites in each of the site sets according to the flight strip.

[0017] Optionally, generating a measured digital surface model and a measured digital orthophoto map including the target wind farm sites according to the image data of the multiple target wind farm sites comprises:

[0018] Aerial triangulation is performed according to the image data of the plurality of target wind farm sites, and a measured digital surface model and a measured digital orthophoto map including the target wind farm sites are generated based on the data obtained by the aerial triangulation.

[0019] Optionally, before determining the target wind farm site that meets preset conditions based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map, the wind farm site selection method further includes:

[0020] Acquire a remote sensing digital surface model and a remote sensing digital orthophoto map including the target wind farm site;

[0021] According to the measured digital surface model and the measured digital orthophoto map, the remote sensing digital surface model and the remote sensing digital orthophoto map are corrected to obtain a corrected digital surface model and digital orthophoto map;

[0022] Determining the target wind farm site that meets preset conditions based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map includes:

[0023] Based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the corrected digital surface model and the digital orthophoto map, the target wind farm site that meets the preset conditions is determined.

[0024] Optionally, the parameters of the wind farm to be constructed include power parameters of wind turbines in the wind farm to be constructed;

[0025] Based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map, before determining the target wind farm site that meets the preset conditions, the wind farm site selection method further includes:

[0026] Screening out the target wind farm site that meets the preset restriction condition as the set wind farm site;

[0027] Determining the target wind farm site that meets preset conditions based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map includes:

[0028] Determining terrain parameter information and construction layout information of the set wind farm site based on the measured digital surface model and the measured digital orthophoto map;

[0029] Calculate the construction cost and power generation corresponding to constructing a wind farm at the set wind farm site according to the terrain parameter information, the construction layout information and the electric energy parameters of the wind turbine, calculate the benefit of constructing the wind farm at the set wind farm site according to the power generation and the construction cost, and obtain the set wind farm site that meets the target benefit;

[0030] Determining the target wind farm site that meets the preset conditions as the address of the wind farm to be constructed includes:

[0031] The set wind farm site that meets the target profit is determined as the address of the wind farm to be constructed.

[0032] Optionally, the terrain parameter information includes the slope, slope direction and wind parameters of the set wind farm site, and the construction layout information includes the access road information and collector line length information required for constructing the set wind farm site;

[0033] Calculating the construction cost and power generation corresponding to constructing a wind farm at the set wind farm site according to the terrain parameter information, the construction layout information and the power parameters of the wind turbine, including:

[0034] Calculating the construction cost of the wind farm at the set wind farm location according to the access road information and the collector line length information;

[0035] The power generation corresponding to the construction of a wind farm at the set wind farm site is calculated according to the electric energy parameters of the wind turbine and the slope, slope direction and wind parameters of the set wind farm site.

[0036] Optionally, calculating the construction cost and power generation corresponding to constructing a wind farm at the set wind farm site according to the terrain parameter information, the construction layout information and the electric energy parameters of the wind turbine, so as to calculate the benefit of constructing the wind farm at the set wind farm site according to the power generation and the construction cost, including:

[0037] If the power generation corresponding to the set wind farm site meets the load requirement of the wind turbine, the benefit of constructing the wind farm at the set wind farm site is directly calculated based on the power generation and the construction cost;

[0038] If the power generation corresponding to the set wind farm site does not meet the load requirement of the wind turbine, repeatedly screen out the target wind farm site that meets the preset restriction conditions as the set wind farm site, determine the terrain parameter information and construction layout information of the set wind farm site based on the measured digital surface model and the measured digital orthophoto map, calculate the construction cost and power generation corresponding to constructing the wind farm at the set wind farm site according to the terrain parameter information, the construction layout information and the electric energy parameters of the wind turbine, until the power generation corresponding to the set wind farm site meets the load requirement of the wind turbine, and calculate the benefit of constructing the wind farm at the set wind farm site according to the power generation and the construction cost;

[0039] The set wind farm sites after re-screening are different from at least part of the set wind farm sites before re-screening.

[0040] In a second aspect, an embodiment of the present invention further provides a wind farm site selection device, comprising:

[0041] An image data acquisition module, used to acquire image data of multiple target wind farm sites;

[0042] A model and image map generation module, used to generate a measured digital surface model and a measured digital orthophoto map containing the target wind farm sites according to the image data of the multiple target wind farm sites;

[0043] A first determination module is used to determine the target wind farm site that meets preset conditions based on the data of the target wind farm site contained in the measured digital surface model and the measured digital orthophoto map and the parameters of the wind farm to be constructed;

[0044] The second determination module is used to determine the target wind farm site that meets the preset conditions as the address of the wind farm to be constructed.

[0045] The wind farm site selection method and device provided by the embodiment of the present invention generates a measured digital surface model and a measured digital orthophoto map containing the target wind farm site according to the image data of multiple target wind farm sites, so as to perform the site selection work of the wind farm to be constructed according to the measured digital surface model and the measured digital orthophoto map, without the need for manual site selection. Compared with the traditional wind farm site selection method, it can save the time and labor cost consumed by manual site selection, which helps to improve the efficiency of wind farm site selection. The data of the target wind farm site contained in the measured digital surface model and the measured digital orthophoto map are of high accuracy. Based on the data of the target wind farm site contained in the measured digital surface model and the measured digital orthophoto map and the parameters of the wind farm to be constructed, the target wind farm site that meets the preset conditions is determined, and the target wind farm site that meets the preset conditions is determined as the address of the wind farm to be constructed, which helps to improve the accuracy of the economic benefit evaluation of the target wind farm site, thereby promoting the full utilization of wind resources in the wind power station after construction and improving the economy of wind farm construction.

[0046] In summary, the technical solution of the embodiment of the present invention not only realizes the micro-site selection of wind farms, but also helps to save the time and manpower costs consumed in manual surveys, thereby improving the efficiency of wind farm site selection, and helps to improve the accuracy of economic benefit evaluation of the target wind farm site, thereby promoting the full utilization of wind resources in the wind power station after construction and improving the economy of wind farm construction.

[0047] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0049] Figure 1It is a schematic diagram of a flow chart of a method for selecting a site for a wind farm provided by an embodiment of the present invention;

[0050] Figure 2 is a schematic flow chart of another method for selecting a site for a wind farm provided by an embodiment of the present invention;

[0051] Figure 3 is a schematic flow chart of another method for selecting a site for a wind farm provided by an embodiment of the present invention;

[0052] Figure 4 is a schematic flow chart of another method for selecting a site for a wind farm provided by an embodiment of the present invention;

[0053] Figure 5 It is a schematic diagram of the module structure of a wind farm site selection device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0055] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0056] As described in the background art, the existing site selection method for wind farms requires a long time for on-site surveys, places high demands on the physical strength of the surveyors, and requires a large amount of manpower and time costs, thereby affecting the efficiency of the site selection work.

[0057] In view of the above problems, an embodiment of the present invention provides a method for selecting a site for a wind farm. Figure 1This is a flow chart of a method for selecting a site for a wind farm provided by an embodiment of the present invention. This embodiment is applicable to the situation of selecting a site for a wind farm to be constructed. The method can be executed by a site selection device for a wind farm. The site selection device for a wind farm can be implemented in the form of hardware and / or software. The site selection device for a wind farm can be configured in an electronic device, such as a server or a terminal device. Typical terminal devices include mobile terminals, specifically mobile phones, computers or tablet computers, etc. See Figure 1 , the site selection method of the wind farm specifically includes the following steps:

[0058] S110: Acquire image data of multiple target wind farm sites.

[0059] Specifically, multiple target wind farm sites may be different sites within the same area or different areas, and the site may be an area or a location, and the target wind farm site is a site suitable for building a wind farm. For example, multiple different target wind farm sites may be selected from the same mountainous area based on experience, and image data of each target wind farm site may be obtained. The image data may be image data obtained by shooting, such as image data obtained by low-altitude shooting of each target wind farm site by a drone, and the image data includes terrain information and location information of each target wind farm site. When the target wind farm site is an area, the image data may include terrain information and location information of each location point in the target wind farm site; when the target wind farm site is a location, the image data may include terrain information and location information of the location.

[0060] S120 . Generate a measured digital surface model and a measured digital orthophoto map including the target wind farm sites according to the image data of the multiple target wind farm sites.

[0061] According to the terrain information and location information of each target wind farm site included in the image data, the elevation and plane location information of each target wind farm site can be determined, thereby generating a measured digital surface model containing the target wind farm site and a measured digital orthophoto map containing the target wind farm site. Wherein, the digital surface model (DigitalSurface Model, DSM) refers to a ground elevation model including the heights of surface buildings, bridges and trees, and the digital surface model DSM can reflect the undulation of the ground. The digital orthophoto map (Digital Orthophoto Map, DOM) is an image data generated by using a digital elevation model (Digital Elevation Model, DEM) to scan and process the image map, and performing radiation correction, differential correction and mosaicking pixel by pixel, and cutting the generated image data according to the specified map range, with a kilometer grid, map outline decoration and annotations. The measured digital surface model and the measured digital orthophoto map in this embodiment refer to the digital surface model and digital orthophoto map containing the target wind farm site generated according to the image data of multiple target wind farm sites.

[0062] S130: Determine a target wind farm site that meets preset conditions based on the data of the target wind farm site included in the measured digital surface model and the measured digital orthophoto map and the parameters of the wind farm to be constructed.

[0063] The measured digital surface model and the measured digital orthophoto map contain relatively accurate data of the target wind farm site, such as the terrain data and location data of the target wind farm site. Exemplarily, based on the data of the target wind farm site contained in the measured digital surface model and the measured digital orthophoto map, the slope, slope direction and other information of the target wind farm site, as well as the access road information and the collector line length information required for the construction of the target wind farm site can be determined. According to the parameters of the wind farm to be constructed (i.e., the wind farm to be constructed) and the slope, slope direction and other information of the target wind farm site, the corresponding power generation under the condition of constructing the wind farm to be constructed at the target wind farm site can be calculated, and according to the access road information and the collector line length information required for the construction of the target wind farm site, the corresponding construction cost under the condition of constructing the wind farm to be constructed at the target wind farm site can be calculated. In this way, the target wind farm site that meets the preset conditions can be determined according to the power generation and construction cost corresponding to each target wind farm site. The preset conditions may be set according to the requirements of the wind farm to be constructed, for example, the preset conditions include at least one of power generation conditions, cost conditions and benefit conditions, or may be set to other conditions according to requirements.

[0064] S140: Determine the target wind farm site that meets preset conditions as the address of the wind farm to be constructed.

[0065] Exemplarily, when the preset conditions include power generation conditions, the target wind farm site that meets the preset conditions may be a target wind farm site with a power generation higher than the preset power generation. When the preset conditions include cost conditions, the target wind farm site that meets the preset conditions may be a target wind farm site with a construction cost lower than the preset construction cost. When the preset conditions include benefit conditions, the target wind farm site that meets the preset conditions may be a target wind farm site that meets the target benefit. In this case, the benefit of constructing the wind farm to be constructed at the target wind farm site may be calculated based on the power generation and construction cost corresponding to each target wind farm site. For example, the benefit of constructing the wind farm to be constructed at the target wind farm site may be calculated based on the benefit brought by the power generation corresponding to the target wind farm site minus the construction cost. Among them, the specific value of the target benefit may be set according to demand, such as the target benefit may be any value of the benefits corresponding to each target wind farm site, or may also be other values. When the target benefit is the maximum value of the benefits corresponding to each target wind farm site, the target wind farm site with the highest benefit may be determined as the address of the wind farm to be constructed. When the target revenue is a value between the minimum and maximum values ​​of the revenues corresponding to the target wind farm sites, any one of the target wind farm sites with a revenue greater than the target revenue can be used as the address of the wind farm to be constructed.

[0066] The technical solution of the embodiment of the present invention generates a measured digital surface model and a measured digital orthophoto map containing the target wind farm site according to the image data of multiple target wind farm sites, so as to select the site of the wind farm to be constructed according to the measured digital surface model and the measured digital orthophoto map, without the need for manual site survey. Compared with the traditional wind farm site selection method, it can save the time and labor cost consumed by manual site survey, which helps to improve the efficiency of wind farm site selection. The data of the target wind farm site contained in the measured digital surface model and the measured digital orthophoto map are of high accuracy. Based on the data of the target wind farm site contained in the measured digital surface model and the measured digital orthophoto map and the parameters of the wind farm to be constructed, the target wind farm site that meets the preset conditions is determined, and the target wind farm site that meets the preset conditions is determined as the address of the wind farm to be constructed, which helps to improve the accuracy of the economic benefit evaluation of the target wind farm site, thereby promoting the full utilization of wind resources in the wind power station after construction and improving the economy of wind farm construction.

[0067] In summary, the technical solution of the embodiment of the present invention not only realizes the micro-site selection of wind farms, but also helps to save the time and manpower costs consumed in manual surveys, thereby improving the efficiency of wind farm site selection, and helps to improve the accuracy of economic benefit evaluation of the target wind farm site, thereby promoting the full utilization of wind resources in the wind power station after construction and improving the economy of wind farm construction.

[0068] Figure 2 FIG. 1 is a flow chart of another method for selecting a site for a wind farm provided by an embodiment of the present invention. Based on the above embodiment, this embodiment further optimizes the method for selecting a site for a wind farm. Figure 2 , the method specifically comprises the following steps:

[0069] S210: Acquire multiple target wind farm sites.

[0070] S220. Divide the plurality of target wind farm sites into at least one site set using a preset classification method, each site set including at least one target wind farm site.

[0071] Specifically, the preset classification method may be a method for classification based on the distribution position, density or distance between each target wind farm site. Optionally, the preset classification method includes a clustering algorithm, such as a density clustering algorithm (Density-Based Spatial Clustering of Applications with Noise, DBSCAN), that is, a density-based clustering algorithm. The density clustering algorithm DBSCAN can be used to determine whether each target wind farm site belongs to the same cluster based on whether the target wind farm sites are densely connected. A cluster is a maximum density-connected sample set derived from a density-reachable relationship, thereby enabling multiple target wind farm sites to be divided into at least one site set.

[0072] Exemplarily, a plurality of target wind farm sites include at least one sample site, then an area determined by taking any sample site as the center and a preset distance as the radius is the neighborhood of the sample site. If the number of target wind farm sites within the neighborhood of any sample site is greater than or equal to a preset value, the sample site is called a core site. The first site within the neighborhood of the core site is a target wind farm site directly accessible by the core site density, the second site directly accessible by the first site density among the plurality of target wind farm sites is a target wind farm site reachable by the core site density, and both the first site and the second site are reachable by the core site density, and the first site and the second site are density-connected. Based on this, the maximum set of density-connected target wind farm sites, i.e., the site set, can be determined, thereby realizing the division of a plurality of target wind farm sites into different site sets.

[0073] S230: photographing the target wind farm sites in each point set by using a drone to obtain image data of each target wind farm site.

[0074] Specifically, the target wind farm sites in each point set are photographed at low altitude by the drone to obtain image data of each target wind farm site. Optionally, photographing the target wind farm sites in each point set by the drone includes: determining the flight belt of the drone according to the flight performance of the drone and the distribution of the point set, and photographing the target wind farm sites in each point set by the drone according to the flight belt.

[0075] The flight performance of a UAV includes the altitude, radius and distance at which the UAV can fly. Based on the flight performance of the UAV and the distribution of each site set, the flight strip of the UAV can be planned and the take-off position corresponding to each flight strip can be determined. For example, the position of the flight strip is determined according to the distribution of each site set, and the length of the flight strip is determined according to the flight performance of the UAV. Combined with the flight performance of the UAV and the size of the overall area where each site set is located, the overall area where each site set is located can be planned into one or more flight strips, or the overall area where one or more site sets that are close to each other are located can be planned into the same flight strip.

[0076] The technical solution of this embodiment divides multiple target wind farm sites into different site sets through a preset classification method, and uses a drone to photograph the target wind farm sites in the classified site set, which can not only save the time and labor costs consumed by manual surveys, but also help to improve the shooting efficiency of the drone. The flight strip of the drone is determined according to the flight performance of the drone and the distribution of the site set, and the drone is used to photograph the target wind farm sites in each point set according to the flight strip. This helps to reduce the power and energy requirements of the drone for the shooting operation, while reducing the operating level requirements for the drone operator for the shooting operation, and reducing the field operation time in the wind farm site selection process, thereby improving the efficiency of wind farm site selection.

[0077] S240, performing aerial triangulation according to the image data of the plurality of target wind farm sites, and generating a measured digital surface model and a measured digital orthophoto map including the target wind farm sites based on the data obtained by the aerial triangulation.

[0078] Specifically, aerial triangulation (or aerial triangulation encryption) is a measurement method in stereo photogrammetry that encrypts control points indoors based on a small number of field control points to obtain the elevation and plane position of the encrypted points. Aerial triangulation can restore a flight path stereo model similar to or corresponding to that taken by a drone. By selecting each target wind farm site as an encrypted point, its elevation and plane position can be determined, thereby obtaining a measured digital surface model and a measured digital orthophoto map containing the target wind farm site.

[0079] S250, obtaining a remote sensing digital surface model and a remote sensing digital orthophoto map including the target wind farm site.

[0080] The remote sensing digital surface model and the remote sensing digital orthophoto map may be a digital surface model DSM and a digital orthophoto map DOM obtained based on remote sensing images from a remote sensing terrain database, such as the Shuttle Radar Topography Mission (SRTM) database.

[0081] S260. According to the measured digital surface model and the measured digital orthophoto map, the remote sensing digital surface model and the remote sensing digital orthophoto map are corrected to obtain a corrected digital surface model and digital orthophoto map.

[0082] Exemplarily, the terrain and location data of each target wind farm site contained in the measured digital surface model and the measured digital orthophoto map are corrected according to the terrain and location data of each target wind farm site contained in the remote sensing digital surface model and the remote sensing digital orthophoto map, thereby obtaining a corrected digital surface model and digital orthophoto map. The advantage of this setting is that the image data obtained by low-altitude photography of the drone and the remote sensing image data can be combined, which helps to improve the accuracy of the corrected digital surface model and digital orthophoto map, thereby obtaining data of the target wind farm site with higher accuracy.

[0083] Optionally, based on the measured digital surface model and the measured digital orthophoto map, a preset coordinate transformation model is used to perform point correction on the remote sensing digital surface model and the remote sensing digital orthophoto map to obtain a corrected digital surface model and digital orthophoto map.

[0084] The preset coordinate transformation model can be selected according to the requirements. For example, the preset coordinate transformation model includes the Bursa seven-parameter coordinate transformation model. The Bursa seven-parameter coordinate transformation model can be expressed as follows:

[0085]

[0086] Among them, X 1 , Y 1 , Z 1 is the coordinate in the original coordinate system, X 2 , Y 2 , Z 2 is the coordinate in the target coordinate system, K is the scale factor from the original coordinate system to the target coordinate system, D x , D y , D zis the translation parameter from the original coordinate system to the target coordinate system, ωx, ωy, ωz are the rotation parameters from the original coordinate system to the target coordinate system. The target coordinate system is the coordinate system where the revised digital surface model and the digital orthophoto map are located, and the original coordinate system is the coordinate system where the measured digital surface model and the measured digital orthophoto map are located before the correction. First, the seven parameters K, D can be calculated based on the coordinates of the three sets of original coordinate systems and their corresponding target coordinate systems. x , D y , D z , ωx, ωy, ωz, and then, according to the Bursa seven-parameter coordinate transformation model, the coordinates in the target coordinate system corresponding to the remaining coordinates in the original coordinate system can be determined, so as to obtain the corrected digital surface model and digital orthophoto map.

[0087] S270: Determine the target wind farm site that meets preset conditions based on the data of the target wind farm site contained in the revised digital surface model and the digital orthophoto map and the parameters of the wind farm to be constructed.

[0088] The data of the target wind farm site contained in the revised digital surface model and digital orthophoto map are of high accuracy. Determining the target wind farm site that meets the preset conditions based on this data will help improve the accuracy of the economic benefit evaluation of the target wind farm site.

[0089] S280: Determine the target wind farm site that meets preset conditions as the address of the wind farm to be constructed.

[0090] Figure 3 FIG. 1 is a flow chart of another method for selecting a site for a wind farm provided by an embodiment of the present invention. Based on the above embodiment, this embodiment further optimizes the method for selecting a site for a wind farm. Figure 3 , the method specifically comprises the following steps:

[0091] S310: Acquire image data of multiple target wind farm sites.

[0092] Optionally, multiple target wind farm sites are obtained, and a preset classification method is used to divide the multiple target wind farm sites into at least one site set, each site set includes at least one target wind farm site, and the target wind farm sites in each point set are photographed by a drone to obtain image data of each target wind farm site.

[0093] S320 . Generate a measured digital surface model and a measured digital orthophoto map including the target wind farm sites according to the image data of the multiple target wind farm sites.

[0094] Optionally, a remote sensing digital surface model and a remote sensing digital orthophoto map including the target wind farm site are obtained, and the remote sensing digital surface model and the remote sensing digital orthophoto map are corrected according to the measured digital surface model and the measured digital orthophoto map to obtain a corrected digital surface model and digital orthophoto map.

[0095] S330: Filter out target wind farm sites that meet preset restriction conditions as set wind farm sites.

[0096] Exemplarily, each target wind farm site is screened according to the corrected digital orthophoto map DOM to determine the set wind farm site. The preset restriction conditions include site restriction conditions and land compliance restriction conditions. Among them, the site restriction conditions may include that the target wind farm site does not cover high-voltage lines and residential houses, etc., and the land compliance restriction conditions may include that the target wind farm site does not cover ecological red lines, nature reserves, mining areas and forestry areas, etc.

[0097] S340. Determine the terrain parameter information and construction layout information of the wind farm site based on the measured digital surface model and the measured digital orthophoto map.

[0098] Optionally, terrain parameter information and construction layout information of the set wind farm site are determined based on the corrected digital surface model and digital orthophoto map. The terrain parameter information includes the slope, slope direction and wind parameters of the set wind farm site, and the construction layout information includes the access road information and collector line length information required for the construction of the set wind farm site.

[0099] Exemplarily, through simulation software (such as ArcGIS, etc.), the terrain and location data of the set wind farm site can be determined based on the corrected digital surface model and digital orthophoto map, thereby determining the wind parameters of the set wind farm location, calculating the slope and slope direction of the set wind farm site, and calculating the access road information and collection line length information required for the construction of the set wind farm site.

[0100] S350. Calculate the construction cost and power generation corresponding to constructing a wind farm at a set wind farm site based on terrain parameter information, construction layout information and electric energy parameters of the wind turbine, calculate the profit of constructing a wind farm at the set wind farm site based on the power generation and construction cost, and obtain the set wind farm site that meets the target profit.

[0101] Optionally, the parameters of the wind farm to be constructed include power parameters of wind turbines in the wind farm to be constructed. The construction cost corresponding to the construction of the wind farm at the set wind farm site is calculated based on the access road information and the collector line length information. The power generation corresponding to the construction of the wind farm at the set wind farm site is calculated based on the power parameters of the wind turbines and the slope, slope direction and wind parameters of the set wind farm site.

[0102] Exemplarily, in this embodiment, the preset condition is set as a profit condition, and the wind farm site that meets the preset condition may be a wind farm site that meets the target profit. The cost required for opening the access road is determined based on the access road information required for building the wind farm at the set wind farm site, and the cost required for the collector line is determined based on the collector line length information required for building the wind farm at the set wind farm site, so that the sum of the above two costs is determined as the construction cost required for building the wind farm at the set wind farm site. The wind energy at the set wind farm site can be determined based on the wind turbine's power parameters and the slope, slope direction and wind parameters of the set wind farm site. Combining the wind turbine's power parameters helps to calculate the power generation corresponding to the construction of the wind farm at the set wind farm site, and the power generation may be the power generation within a set time.

[0103] Based on the corrected digital surface model and digital orthophoto map, a terrain file containing the terrain and location data of the set wind farm site can be obtained. The terrain file, wind parameters, electric energy parameters of the wind turbine, and parameters such as the surface roughness of the set wind farm site are input into the simulation software (such as WT and WAsP, etc.), and the power generation and wake simulation of the wind farm built at the set wind farm site can be carried out, thereby calculating the corresponding power generation of the wind farm built at the set wind farm site.

[0104] S360: Determine the set wind farm site that meets the target return as the address of the wind farm to be constructed.

[0105] Exemplarily, after a plurality of target wind farm sites are classified by a preset classification method, a first point set {T1, T2, T3, ..., Tm} and a second site set {F1, F2, F3, ..., Fn} are obtained. Wherein, Ti represents the target wind farm site in the first point set, 1≤i≤m, m is the total number of sites in the first point set, Fj represents the target wind farm site in the second site set, 1≤j≤n, n is the total number of sites in the second site set. By screening the target wind farm sites in the first point set and the second site set, a screened set of set wind farm sites {X1, X2, X3, ..., Xa} can be obtained, where Xp represents the target wind farm site in the first point set, 1≤p≤a, a is the total number of sites in the set of set wind farm sites. By calculating the benefits corresponding to building wind farms at various set wind farm sites, a set of set wind farm sites that meet the target benefits can be determined, and the set includes at least one set wind farm site in {X1, X2, X3, ..., Xa}.

[0106] Based on the above embodiment, optionally, step S350 specifically includes:

[0107] Determine whether the power generation corresponding to the set wind farm site meets the load requirements of the wind turbine.

[0108] If the power generation corresponding to the set wind farm site meets the load requirements of the wind turbine, the profit of building a wind farm at the set wind farm site is calculated directly based on the power generation and construction cost.

[0109] If the power generation corresponding to the set wind farm site does not meet the load requirements of the wind turbine, then repeat steps S330 and S340, re-screen the target wind farm site that meets the preset restriction conditions as the set wind farm site, determine the terrain parameter information and construction layout information of the set wind farm site based on the measured digital surface model and the measured digital orthophoto map, and then calculate the construction cost and power generation corresponding to the construction of the wind farm at the set wind farm site based on the terrain parameter information, the construction layout information and the electric energy parameters of the wind turbine, until the power generation corresponding to the set wind farm site meets the load requirements of the wind turbine, and calculate the benefits of constructing the wind farm at the set wind farm site based on the power generation and the construction cost. Among them, the set wind farm site after re-screening is different from at least part of the set wind farm sites in the set wind farm sites before re-screening.

[0110] Specifically, according to the power generation corresponding to the set wind farm site and the load of the wind turbine in the wind farm to be constructed, it is determined whether the power generation that can be generated by constructing the wind farm at the set wind farm site will exceed the load of the wind turbine. If the power generation that can be generated by constructing the wind farm at the set wind farm site does not exceed the load of the wind turbine, the profit of constructing the wind farm at the set wind farm site is directly calculated according to the power generation and the construction cost, and then step S360 is continued to be executed to determine the set wind farm site that meets the target profit as the address of the wind farm to be constructed.

[0111] If the amount of power generated by building a wind farm at the set wind farm site will exceed the load of the wind turbine, then other target wind farm sites that meet the preset restrictions are re-screened as new set wind farm sites, and the terrain parameter information and construction layout information of the new set wind farm site are determined based on the corrected digital surface model and digital orthophoto map. According to the terrain parameter information, construction layout information and the electric energy parameters of the wind turbine, the construction cost and power generation corresponding to the construction of the wind farm at the set wind farm site are calculated, and it is further judged whether the power generation corresponding to the new set wind farm site meets the load requirements of the wind turbine. If the power generation corresponding to the new set wind farm site meets the load requirements of the wind turbine, If the power generation corresponding to the set wind farm site does not meet the load requirement of the wind turbine, the benefit of constructing the wind farm at the set wind farm site is directly calculated according to the power generation and construction cost. If the power generation corresponding to the set wind farm site does not meet the load requirement of the wind turbine, other target wind farm sites that meet the preset restriction conditions are re-screened as new set wind farm sites, and the subsequent steps of calculating the construction cost and power generation corresponding to the set wind farm site are continued to be executed until the power generation corresponding to the set wind farm site meets the load requirement of the wind turbine, so that the power generation corresponding to all the set wind farm sites finally meets the load requirement of the wind turbine, and step S360 is continued to be executed to determine the set wind farm site that meets the target benefit as the address of the wind farm to be constructed.

[0112] Figure 4 FIG. 1 is a flow chart of another method for selecting a site for a wind farm provided by an embodiment of the present invention. Based on the above embodiments, this embodiment further optimizes the method for selecting a site for a wind farm. Figure 4 , the method specifically comprises the following steps:

[0113] S410: Acquire multiple target wind farm sites.

[0114] S411. Divide a plurality of target wind farm sites into at least one site set using a preset classification method, each site set including at least one target wind farm site.

[0115] The preset classification method may be a density clustering algorithm DBSCAN.

[0116] S412: Determine the flight route of the UAV according to the flight performance of the UAV and the distribution of the site set, and use the UAV to photograph the target wind farm site in each site set according to the flight route.

[0117] S413, performing aerial triangulation according to the image data of multiple target wind farm sites, and generating a measured digital surface model and a measured digital orthophoto map including the target wind farm sites based on the data obtained by the aerial triangulation.

[0118] S414, obtaining a remote sensing digital surface model and a remote sensing digital orthophoto map including the target wind farm site, and correcting the remote sensing digital surface model and the remote sensing digital orthophoto map according to the measured digital surface model and the measured digital orthophoto map to obtain a corrected digital surface model and digital orthophoto map.

[0119] Among them, the Bursa seven-parameter coordinate transformation model is used to perform point correction on the remote sensing digital surface model and remote sensing digital orthophoto map to obtain the corrected digital surface model and digital orthophoto map.

[0120] S415. Filter out target wind farm sites that meet preset restriction conditions as set wind farm sites.

[0121] Specifically, the target wind farm sites that meet the preset restrictions are selected according to the corrected digital orthophoto map as the set wind farm sites. The preset restrictions include on-site restrictions such as the target wind farm sites not covering high-voltage lines and residential houses, and land compliance restrictions such as the target wind farm sites not covering ecological red lines, nature reserves, mining areas and forestry areas.

[0122] S416. Determine the slope, slope direction and wind parameters of the set wind farm site, as well as the access road information and collector line length information required for constructing the set wind farm site based on the corrected digital surface model and digital orthophoto map.

[0123] S417. Calculate the construction cost of a wind farm at the set wind farm site based on the access road information and the collector line length information. Calculate the power generation of a wind farm at the set wind farm site based on the wind turbine's power parameters and the slope, slope direction and wind parameters of the set wind farm site.

[0124] S418: Determine whether the power generation corresponding to the set wind farm site meets the load requirement of the wind turbine.

[0125] If the power generation corresponding to the set wind farm site meets the load requirement of the wind turbine, execute step S419; if the power generation corresponding to the set wind farm site does not meet the load requirement of the wind turbine, return to execute S415.

[0126] The set wind farm sites after re-screening are different from at least part of the set wind farm sites before re-screening.

[0127] S419. Calculate the benefits of constructing a wind farm at a set wind farm site based on power generation and construction costs.

[0128] S420: Determine the set wind farm site that meets the target return as the address of the wind farm to be constructed.

[0129] The technical solution of the embodiment of the present invention divides multiple target wind farm sites into different site sets by a preset classification method, and uses a drone to shoot the target wind farm sites in the classified site set, which can not only save the time and labor cost of manual survey, but also help improve the shooting efficiency of the drone. Determine the flight belt of the drone according to the flight performance of the drone and the distribution of the site set, and use the drone to shoot the target wind farm sites in each site set according to the flight belt, which helps to reduce the power and energy requirements of the drone for the shooting operation, while reducing the operating level requirements for the drone operator for the shooting operation, and reducing the field operation time in the process of wind farm site selection, thereby improving the efficiency of wind farm site selection. Combining the image data obtained by low-altitude shooting of the drone with the remote sensing image data helps to improve the accuracy of the corrected digital surface model and the digital orthophoto map, thereby obtaining the data of the target wind farm site with higher accuracy, and calculating the benefits of building a wind farm at each target wind farm site, which helps to improve the accuracy of the target wind farm site benefit evaluation.

[0130] An embodiment of the present invention further provides a wind farm site selection device, which is suitable for executing the wind farm site selection method in any of the above embodiments. Figure 5 Schematic diagram of the module structure of a wind farm site selection device provided by an embodiment of the present invention. Figure 5 The device specifically includes: an image data acquisition module 510, a model and image map generation module 520, a first determination module 530 and a second determination module 540, wherein:

[0131] The image data acquisition module 510 is used to acquire image data of multiple target wind farm sites;

[0132] The model and image map generation module 520 is used to generate a measured digital surface model and a measured digital orthophoto map containing the target wind farm site according to the image data of the multiple target wind farm sites;

[0133] The first determination module 530 is used to determine the target wind farm site that meets the preset conditions based on the data of the target wind farm site included in the measured digital surface model and the measured digital orthophoto map and the parameters of the wind farm to be constructed;

[0134] The second determination module 540 is used to determine the target wind farm site that meets the preset conditions as the address of the wind farm to be constructed.

[0135] The wind farm site selection device provided in the embodiment of the present invention can execute the wind farm site selection method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method, which will not be described in detail here.

[0136] Based on the above embodiment, optionally, the wind farm site selection device further includes:

[0137] A remote sensing data acquisition module is used to obtain a remote sensing digital surface model and a remote sensing digital orthophoto map containing the target wind farm site;

[0138] A correction module is used to correct the remote sensing digital surface model and the remote sensing digital orthophoto map according to the measured digital surface model and the measured digital orthophoto map to obtain a corrected digital surface model and digital orthophoto map;

[0139] Accordingly, the first determination module 530 is specifically configured to determine a target wind farm site that meets preset conditions based on the data of the target wind farm site and the parameters of the wind farm to be constructed included in the revised digital surface model and the digital orthophoto.

[0140] Optionally, the parameters of the wind farm to be constructed include the electric energy parameters of the wind turbines in the wind farm to be constructed. Accordingly, the site selection device of the wind farm also includes: a screening module, which is used to screen out the target wind farm site that meets the preset restriction conditions as the set wind farm site. Accordingly, the first determination module 530 is specifically used to: determine the terrain parameter information and construction layout information of the set wind farm site based on the measured digital surface model and the measured digital orthophoto map; calculate the construction cost and power generation corresponding to the construction of the wind farm at the set wind farm site according to the terrain parameter information, the construction layout information and the electric energy parameters of the wind turbine, so as to calculate the benefits of constructing the wind farm at the set wind farm site according to the power generation and the construction cost, and obtain the set wind farm site that meets the target benefits; the second determination module 540 is specifically used to: determine the set wind farm site that meets the target benefits as the address of the wind farm to be constructed.

[0141] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0142] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for selecting a site for a wind farm, characterized in that: include: Acquire image data of multiple target wind farm sites; Generating a measured digital surface model and a measured digital orthophoto map including the target wind farm sites according to the image data of the multiple target wind farm sites; Determine the target wind farm site that meets preset conditions based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map; Determining the target wind farm site that meets the preset conditions as the address of the wind farm to be constructed; The parameters of the wind farm to be constructed include the electric energy parameters of the wind turbines in the wind farm to be constructed; Determining the target wind farm site that meets preset conditions based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map includes: Based on the measured digital surface model and the measured digital orthophoto map, determining terrain parameter information and construction layout information of a set wind farm site; wherein the set wind farm site is the target wind farm site that meets preset conditions; The construction cost and power generation corresponding to constructing a wind farm at the set wind farm site are calculated based on the terrain parameter information, the construction layout information and the electric energy parameters of the wind turbine, so as to calculate the profit of constructing the wind farm at the set wind farm site based on the power generation and the construction cost, so as to obtain the set wind farm site that meets the target profit.

2. The method for selecting a site for a wind farm according to claim 1, characterized in that: Acquire image data of multiple target wind farm sites, including: Acquire multiple target wind farm locations; Using a preset classification method to divide the multiple target wind farm sites into at least one site set, each of the site sets includes at least one target wind farm site; The target wind farm sites in each of the site sets are photographed by a drone to obtain image data of each of the target wind farm sites.

3. The method for selecting a site for a wind farm according to claim 2, characterized in that: The preset classification method includes the density clustering algorithm DBSCAN.

4. The method for selecting a site for a wind farm according to claim 2, characterized in that: Photographing the target wind farm site in each of the site sets by using a drone includes: The flight strip of the UAV is determined according to the flight performance of the UAV and the distribution of the site set, and the UAV is used to photograph the target wind farm sites in each of the site sets according to the flight strip.

5. The method for selecting a site for a wind farm according to claim 1, characterized in that: Generating a measured digital surface model and a measured digital orthophoto map containing the target wind farm sites according to the image data of the multiple target wind farm sites, including: Aerial triangulation is performed according to the image data of the plurality of target wind farm sites, and a measured digital surface model and a measured digital orthophoto map including the target wind farm sites are generated based on the data obtained by the aerial triangulation.

6. The method for selecting a site for a wind farm according to claim 1, characterized in that: Based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map, before determining the target wind farm site that meets the preset conditions, the wind farm site selection method further includes: Acquire a remote sensing digital surface model and a remote sensing digital orthophoto map including the target wind farm site; According to the measured digital surface model and the measured digital orthophoto map, the remote sensing digital surface model and the remote sensing digital orthophoto map are corrected to obtain a corrected digital surface model and digital orthophoto map; Determining the target wind farm site that meets preset conditions based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map includes: Based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the corrected digital surface model and the digital orthophoto map, the target wind farm site that meets the preset conditions is determined.

7. The method for selecting a site for a wind farm according to claim 1, characterized in that: Based on the data of the target wind farm site and the parameters of the wind farm to be constructed contained in the measured digital surface model and the measured digital orthophoto map, before determining the target wind farm site that meets the preset conditions, the wind farm site selection method further includes: Screening out the target wind farm site that meets the preset restriction condition as the set wind farm site; Determining the target wind farm site that meets the preset conditions as the address of the wind farm to be constructed includes: The set wind farm site that meets the target profit is determined as the address of the wind farm to be constructed.

8. The method for selecting a site for a wind farm according to claim 7, characterized in that: The terrain parameter information includes the slope, slope direction and wind parameters of the set wind farm site, and the construction layout information includes the access road information and collector line length information required for the construction of the set wind farm site; Calculating the construction cost and power generation corresponding to constructing a wind farm at the set wind farm site according to the terrain parameter information, the construction layout information and the power parameters of the wind turbine, including: Calculating the construction cost of the wind farm at the set wind farm location according to the access road information and the collector line length information; The power generation corresponding to the construction of a wind farm at the set wind farm site is calculated according to the electric energy parameters of the wind turbine and the slope, slope direction and wind parameters of the set wind farm site.

9. The method for selecting a site for a wind farm according to claim 7, characterized in that: Calculating the construction cost and power generation corresponding to constructing a wind farm at the set wind farm site according to the terrain parameter information, the construction layout information and the electric energy parameters of the wind turbine, so as to calculate the benefit of constructing the wind farm at the set wind farm site according to the power generation and the construction cost, including: If the power generation corresponding to the set wind farm site meets the load requirement of the wind turbine, the benefit of constructing the wind farm at the set wind farm site is directly calculated based on the power generation and the construction cost; If the power generation corresponding to the set wind farm site does not meet the load requirement of the wind turbine, repeatedly screen out the target wind farm site that meets the preset restriction conditions as the set wind farm site, determine the terrain parameter information and construction layout information of the set wind farm site based on the measured digital surface model and the measured digital orthophoto map, calculate the construction cost and power generation corresponding to constructing the wind farm at the set wind farm site according to the terrain parameter information, the construction layout information and the electric energy parameters of the wind turbine, until the power generation corresponding to the set wind farm site meets the load requirement of the wind turbine, and calculate the benefit of constructing the wind farm at the set wind farm site according to the power generation and the construction cost; The set wind farm sites after re-screening are different from at least part of the set wind farm sites before re-screening.

10. A wind farm site selection device, characterized in that: include: An image data acquisition module, used to acquire image data of multiple target wind farm sites; A model and image map generation module, used to generate a measured digital surface model and a measured digital orthophoto map containing the target wind farm sites according to the image data of the multiple target wind farm sites; A first determination module is used to determine the target wind farm site that meets preset conditions based on the data of the target wind farm site contained in the measured digital surface model and the measured digital orthophoto map and the parameters of the wind farm to be constructed; A second determination module is used to determine the target wind farm site that meets the preset conditions as the address of the wind farm to be constructed; The parameters of the wind farm to be constructed include the electric energy parameters of the wind turbines in the wind farm to be constructed; The first determination module is further used to determine the terrain parameter information and construction layout information of the set wind farm site based on the measured digital surface model and the measured digital orthophoto map; calculate the construction cost and power generation corresponding to the construction of the wind farm at the set wind farm site according to the terrain parameter information, the construction layout information and the electric energy parameters of the wind turbine, so as to calculate the benefit of constructing the wind farm at the set wind farm site according to the power generation and the construction cost, and obtain the set wind farm site that meets the target benefit; wherein the set wind farm site is the target wind farm site that meets the preset conditions.

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