Method, device and equipment for generating digital twin simulation model of photovoltaic power station

Through drones, the orthophoto image of the photovoltaic power station is collected and the digital twin simulation model is created using three-dimensional modeling software, which solves the problem of insufficient restoration of the digital twin scene after the expansion of the photovoltaic power station, and achieves higher operation and maintenance efficiency and fault positioning accuracy.

CN119784970AActive Publication Date: 2025-04-08ZHEJIANG ZHENGTAI NEW ENERGY DEV CO LTD

Patent Information

Application Number
CN202411931129.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-25
Publication Date
2025-04-08
Estimated Expiration
2044-12-25

AI Technical Summary

Technical Problem

With the expansion of the scale of photovoltaic power stations, the digital twin scenarios have insufficient restoration of the real scene of photovoltaic power stations, resulting in increased difficulty in positioning faulty equipment and difficulties in operation and maintenance.

Method used

The orthophoto image of the photovoltaic power station is collected through drones, the three-dimensional geographical information and equipment name number of the equipment unit are marked and extracted, and the three-dimensional modeling software is used to create the power station surface simulation model, equipment simulation model and its hierarchical management relationship, and a digital twin simulation model is generated.

Benefits of technology

It improves the reduction degree of digital simulation of photovoltaic power stations, reduces the difficulty of operation and maintenance, and enhances the accuracy of positioning of faulty equipment.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention discloses a method, a device and equipment for generating a digital twinborn simulation model of a photovoltaic power station. The method comprises the following steps of: obtaining an orthophoto map of a target photovoltaic power station acquired by an unmanned aerial vehicle; marking each equipment unit in the orthoimage map, and marking an equipment name number corresponding to each equipment unit; extracting terrain three-dimensional geographic information of the target photovoltaic power station, equipment three-dimensional geographic information of each equipment unit and an equipment name number from the orthoimage map; and reading the terrain three-dimensional geographic information, the equipment three-dimensional geographic information and the equipment name number by utilizing three-dimensional modeling software, creating a power station earth surface simulation model of the target photovoltaic power station, equipment simulation models and a hierarchical management relationship among the equipment simulation models, and obtaining a digital twin simulation model of the target photovoltaic power station. The digital twinborn simulation model is closer to a real scene of the photovoltaic power station, and the difficulty of polling, operation and maintenance of the photovoltaic power station is reduced.
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Description

Technical Field

[0001] The present invention relates to the field of photovoltaic technology, and in particular to a method, device and equipment for generating a digital twin simulation model of a photovoltaic power station. Background Art

[0002] Photovoltaic power generation technology has developed rapidly in recent years. With the growth of new energy demand, the generation, deployment and management of equipment in photovoltaic scenarios have become particularly important. Using 3D engine technology and digital twin technology to build a digital twin scene of a photovoltaic power station, providing a bridge between the virtual and real photovoltaic power stations, can facilitate the fault operation and maintenance of photovoltaic power stations.

[0003] However, as the scale of photovoltaic power stations continues to expand, the number of various equipment units in the entire photovoltaic power station, especially photovoltaic modules, is huge. If the digital twin scene does not restore the real scene of the photovoltaic power station sufficiently, the difficulty of locating faulty equipment based on the digital twin scene will also increase, making the operation and maintenance of the photovoltaic power station difficult. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device and equipment for generating a digital twin simulation model of a photovoltaic power station, which can improve the degree of restoration of digital simulation of the photovoltaic power station to a certain extent, thereby reducing the difficulty of operation and maintenance of the photovoltaic power station.

[0005] In order to solve the above technical problems, the present invention provides a method for generating a digital twin simulation model of a photovoltaic power station, comprising:

[0006] Obtain orthophoto images of the target photovoltaic power station collected by the drone;

[0007] Mark each device unit in the orthophoto map and annotate the device name and number corresponding to each device unit;

[0008] Extracting the three-dimensional geographical information of the terrain of the target photovoltaic power station, the three-dimensional geographical information of each of the equipment units and the equipment name number from the orthophoto map;

[0009] Use three-dimensional modeling software to read the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment and the equipment name and number, create a power station surface simulation model, an equipment simulation model of the target photovoltaic power station and a hierarchical management relationship between the equipment simulation models, and obtain a digital twin simulation model of the target photovoltaic power station.

[0010] In an optional embodiment of the present application, marking each device unit in the orthophoto map includes:

[0011] Mark the corner points of each photovoltaic string in the orthophoto and the central area position points of other equipment except the photovoltaic string; wherein the other equipment at least includes a collection circuit, a transformer and an inverter;

[0012] Accordingly, extracting the three-dimensional geographic information of each of the equipment units includes:

[0013] Extracting corner point geographic information of each corner point of each photovoltaic string, wherein the corner point geographic information includes the longitude and latitude of the corner point;

[0014] Extracting central geographic information of a central area location point of each of the other devices, wherein the central geographic information includes the longitude, latitude and altitude of the central area location point;

[0015] Accordingly, the process of creating a power station surface simulation model and an equipment simulation model of the target photovoltaic power station includes:

[0016] Determining the string type of each group of the photovoltaic strings according to the number of corner points of each photovoltaic string;

[0017] When the photovoltaic string is a regular rectangular string, according to the first center point coordinate formula and the corner point geographic information of the photovoltaic string, and calculate and determine the photovoltaic center geographic information of the photovoltaic string ;in, , , , The corner point geographic information of the four corner points of the photovoltaic string;

[0018] When the photovoltaic string is an irregular string, according to the second center point coordinate formula and the corner point geographic information of the photovoltaic string, and calculate and determine the photovoltaic center geographic information of the photovoltaic string ;in, ; , , , , The corner point geographic information of the five corner points of the photovoltaic string;

[0019] Creating a power station surface simulation model based on the three-dimensional geographic information of the terrain;

[0020] According to the central area location points of the other devices, the photovoltaic center geographical information, and the corner point geographical information, simulation models of the devices are created and configured in the power station surface simulation model.

[0021] In an optional embodiment of the present application, the process of creating and configuring simulation models of various devices in the power station surface simulation model includes:

[0022] According to the device type of the other devices, select a device simulation model corresponding to each of the other devices from the pre-created simulation models;

[0023] Configure the device simulation model corresponding to the other device in the power station surface simulation model at the central area position point of the other device;

[0024] Determining the photovoltaic position area of ​​the photovoltaic string on the surface model of the power station according to the corner point geographic information of the photovoltaic string;

[0025] According to the slope information corresponding to the photovoltaic location area, combined with the rotation angle formula , determine the rotation angle of the photovoltaic string model; where, is the vertical normal vector; is the surface normal vector of the photovoltaic location area;

[0026] According to the string type corresponding to each photovoltaic string, a corresponding string simulation model is selected from the pre-created string models;

[0027] Determine the projection center point information of the center point of each row of the photovoltaic strings on the ground according to the photovoltaic center geographic information of each photovoltaic string;

[0028] According to the projection center point information and scaling formula of each row of photovoltaic strings , determine the scaling ratio of each row of photovoltaic strings; wherein, is the height difference between the projection center points of two adjacent rows of the photovoltaic strings; The horizontal distance between the projection center points of two adjacent rows of photovoltaic strings in the horizontal direction perpendicular to the extension direction of the photovoltaic strings in a single row;

[0029] According to the photovoltaic center geographic information and the string simulation model corresponding to each photovoltaic string, the string simulation model corresponding to each photovoltaic string is configured on the power station surface simulation model according to the rotation angle and the scaling ratio.

[0030] In an optional embodiment of the present application, the process of creating a hierarchical management relationship between the device simulation models includes:

[0031] Constructing POI data of each of the device simulation models;

[0032] According to the device name numbers respectively corresponding to the device units, the hierarchical management relationship between the device units is determined, so as to display the POI data corresponding to the device simulation models according to the hierarchical management relationship.

[0033] In an optional embodiment of the present application, extracting the topographic three-dimensional geographic information of the target photovoltaic power station, the equipment three-dimensional geographic information of each equipment unit and the equipment name number from the orthophoto map includes:

[0034] Exporting a labeling file from the Aowei map corresponding to the orthophoto; wherein the labeling file is a KML / XML file;

[0035] Accordingly, the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment and the name and number of the equipment are read using three-dimensional modeling software, including:

[0036] The annotation file is interpreted using the three-dimensional modeling software to obtain the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment, and the name and number of the equipment.

[0037] In an optional embodiment of the present application, after creating the device simulation model, the method further includes:

[0038] Marking and storing rendering surface geometric parameters of each of the device simulation models;

[0039] storing rendering parameters of the device simulation model according to different types;

[0040] Correspondingly, after obtaining the digital twin simulation model of the target photovoltaic power station, when the digital twin simulation scene is displayed through the digital twin simulation model, each device simulation model in the display interface is rendered according to the corresponding rendering parameters, and the rendering surface determined by the rendering surface geometric parameters on the device simulation model is rendered.

[0041] In an optional embodiment of the present application, after creating the device simulation model, the method further includes:

[0042] A plurality of LOD models of different levels are configured for each of the device simulation models;

[0043] When the digital twin simulation scene is displayed through the digital twin simulation model, the LOD model of the corresponding level is selected for display according to the display distance of the device simulation model in the display interface; wherein, the farther the display distance is, the lower the level of the LOD model displayed is.

[0044] In an optional embodiment of the present application, for each device simulation model in the display interface, rendering a rendering surface determined by the rendering surface geometric parameters on the device simulation model according to the corresponding rendering parameters includes:

[0045] Determine the rendering priority of each device simulation model according to the current LOD model level displayed by each device simulation model in the display interface, wherein the higher the LOD model level, the higher the rendering priority level;

[0046] The device simulation models in the display interface are rendered in sequence according to the rendering priority.

[0047] A device for generating a digital twin simulation model of a photovoltaic power station, comprising:

[0048] The data acquisition module obtains the orthophoto image of the target photovoltaic power station collected by the drone;

[0049] An equipment marking module is used to mark each equipment unit in the orthophoto map and annotate the equipment name and number corresponding to each equipment unit;

[0050] A data extraction module, used to extract the three-dimensional geographic information of the terrain of the target photovoltaic power station, the three-dimensional geographic information of each of the equipment units and the equipment name number from the orthophoto map;

[0051] The model creation module is used to use three-dimensional modeling software to read the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment and the equipment name and number, create a power station surface simulation model, an equipment simulation model of the target photovoltaic power station and a hierarchical management relationship between the equipment simulation models, and obtain a digital twin simulation model of the target photovoltaic power station.

[0052] A digital twin simulation model generation device for a photovoltaic power station, comprising:

[0053] Memory for storing computer programs;

[0054] A processor is used to execute the computer program to perform the steps of the method for generating a digital twin simulation model of a photovoltaic power station as described in any one of the above items.

[0055] The present invention provides a method, device and equipment for generating a digital twin simulation model of a photovoltaic power station. The method for generating a digital twin simulation model of a photovoltaic power station includes: obtaining an orthophoto map collected by a drone of a target photovoltaic power station; marking each equipment unit in the orthophoto map, and annotating the equipment name number corresponding to each equipment unit; extracting the three-dimensional geographic information of the terrain of the target photovoltaic power station, the three-dimensional geographic information of the equipment of each equipment unit and the equipment name number from the orthophoto map; using three-dimensional modeling software to read the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment and the equipment name number, creating a power station surface simulation model, an equipment simulation model and a hierarchical management relationship between each equipment simulation model of the target photovoltaic power station, and obtaining a digital twin simulation model of the target photovoltaic power station.

[0056] In this application, based on the orthophoto image of the real scene in the target photovoltaic power station collected by drone, the three-dimensional geographic information of the equipment unit is obtained through the orthophoto image, and the three-dimensional geographic information of the terrain where the target photovoltaic power station is located is also obtained. Therefore, when actually creating a digital twin simulation model of the photovoltaic power station, a power station surface simulation model with slope changes in the photovoltaic power station can be more realistically simulated, and an equipment simulation model with a layout that changes with the surface slope is created on the power station surface simulation model, thereby making the entire digital twin simulation model closer to the real scene of the photovoltaic power station, rather than simply digitally simulating the entire photovoltaic power station from a two-dimensional perspective. Therefore, when determining the inspection route of the faulty equipment based on the photovoltaic power station scene displayed by the digital twin simulation model, the problem of inaccurate inspection route due to complex actual terrain can be avoided, thereby reducing the difficulty of inspection and operation and maintenance of the photovoltaic power station.

[0057] In addition, the three-dimensional geographic information of the terrain and the equipment geographic information in this application are directly extracted from the orthophoto map and automatically read and obtained through three-dimensional modeling software, thereby ensuring the efficiency of obtaining the three-dimensional geographic information corresponding to the power station terrain and equipment units, etc., which is conducive to the rapid creation of digital twin models of large-scale photovoltaic power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative work.

[0059] Figure 1 A schematic diagram of a flow chart of a method for generating a digital twin simulation model of a photovoltaic power station provided in an embodiment of the present application;

[0060] Figure 2A partial image schematic diagram of a photovoltaic string provided in an embodiment of the present application;

[0061] Figure 3 A schematic diagram of a simulation model of a box-type transformer provided in an embodiment of the present application;

[0062] Figure 4 A schematic diagram of a simulation model of an inverter provided in an embodiment of the present application;

[0063] Figure 5 A schematic diagram of a simulation model of a photovoltaic string provided in an embodiment of the present application;

[0064] Figure 6 A schematic diagram of another simulation model of a photovoltaic string provided in an embodiment of the present application;

[0065] Figure 7 A schematic diagram of the framework of the hierarchical management relationship in the photovoltaic resistor provided in the embodiment of the present application;

[0066] Figure 8 A structural block diagram of a device for generating a digital twin simulation model of a photovoltaic power station provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0067] The core of the present invention is to provide a method, device and equipment for generating a digital twin simulation model of a photovoltaic power station, which can make the digital twin simulation model of the photovoltaic power station more closely aligned with the actual scene of the power station, and is conducive to improving the convenience of operation and maintenance of the photovoltaic power station.

[0068] In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0069] like Figure 1 As shown, Figure 1 A schematic flow chart of a method for generating a digital twin simulation model of a photovoltaic power station provided in an embodiment of the present application.

[0070] In a specific embodiment of the present application, the method for generating a digital twin simulation model of a photovoltaic power station may include:

[0071] S1: Obtain the orthophoto image of the target photovoltaic power station collected by the drone.

[0072] By adjusting and setting the flight parameters of the drone, such as the flight range, flight altitude, heading overlap and lateral overlap, through the drone application software, the drone can fly along multiple different flight routes above the target PV power station and collect orthophotos. For example, the first route is for the drone camera to shoot vertically downward, and the second to fifth routes are for the drone camera to take pictures at a certain angle (for example, about 45 degrees) toward the center of the measurement area.

[0073] S2: Mark each equipment unit in the orthophoto map and annotate the equipment name and number corresponding to each equipment unit.

[0074] Based on the current image acquisition and processing functions of drones, the orthophotos collected can be a three-dimensional map of the entire photovoltaic power station. The orthophotos can be displayed and edited using mapping software such as Aowei Map.

[0075] Therefore, in the process of marking the equipment units in the orthophoto and labeling the equipment name and number of each equipment unit, the orthophoto can be displayed using the Aowei map, and each equipment unit can be manually marked in the orthophoto. The equipment units in the photovoltaic power station mainly include large-area photovoltaic strings. In addition, it should also include the collection circuit, transformer and inverter. Figure 2 As shown, when marking the photovoltaic strings, the corner points of each photovoltaic string can be marked, and the area surrounded by the lines connecting the corner points of each photovoltaic string in sequence is also the imaging area of ​​the photovoltaic string; Figure 2 A rectangular photovoltaic string and an irregular photovoltaic string are circled in the figure, wherein the rectangular photovoltaic string contains 4 corner points, while the irregular photovoltaic string contains 5 corner points.

[0076] For devices other than photovoltaic strings, since their number is relatively small, even if their positions are slightly deviated in the digital twin scenario, it is not difficult to locate them. Therefore, in the process of marking devices other than photovoltaic strings, you can only select any position point in the central area of ​​each other device to represent the location of the device.

[0077] In addition to marking the locations of PV strings and other equipment in the orthophoto map, it is also necessary to further label each equipment unit with the equipment name and number.

[0078] It can be understood that the target photovoltaic power station in the present application is constructed based on the two-dimensional design drawing of the power station. Although the equipment units in the target photovoltaic power station that is finally completed are slightly geographically different from the two-dimensional design drawing of the power station, the number and type of equipment units included should be completely consistent. In the two-dimensional design drawing of the power station, the equipment name number of each equipment unit is also set in advance. The equipment name number consists of two parts, one is the equipment name, and the other is the number. For example, the box transformer XB01 refers to the box transformer, and XB01 is the number; for example, the string inverter XB01-NB01 refers to the first string inverter connected to the box transformer numbered XB01; it can be seen that the equipment name number of each equipment unit in the present application can not only be used as an identification to distinguish each equipment unit, but also contains information that characterizes the equipment type of the equipment unit and the circuit connection relationship between the equipment units.

[0079] In addition, in the present application, the process of marking the equipment units in the orthophoto image and annotating the equipment name and number of each equipment unit is not necessarily completed manually. For example, the marking of each equipment unit in the orthophoto image can be completed based on image recognition technology. For example, a recognition model for each type of equipment in the orthophoto image is pre-trained. After the equipment units in the orthophoto image are identified, the two-dimensional design drawing of the power station is used for identification and calibration, and finally each equipment unit is identified more accurately, thereby achieving the marking of each equipment unit. On this basis, each equipment unit in the equipment image is labeled based on the equipment name and number that has been marked in the two-dimensional design drawing of the power station, which can also achieve the technical solution of the present application.

[0080] S3: Extracting the topographic three-dimensional geographic information of the target photovoltaic power station, the equipment three-dimensional geographic information of each equipment unit, and the equipment name number from the orthophoto map.

[0081] It can be understood that the orthophoto image in the present application is a three-dimensional geographic image, and therefore, the three-dimensional geographic information corresponding to each position point in the orthophoto image can be obtained; thus, the three-dimensional geographic information of the terrain of the photovoltaic power station, the three-dimensional geographic information of the equipment of each equipment unit, and the equipment name number can be extracted from the orthophoto image; wherein, the three-dimensional geographic information of the terrain should refer to the longitude, latitude and altitude information of each position point on the ground in the area where the target photovoltaic power station is located, and thus the three-dimensional geographic information of the terrain can also characterize the slope information of the ups and downs of the ground where the target photovoltaic power station is located to a certain extent; on this basis, for the photovoltaic strings in the equipment unit, the three-dimensional geographic information of the equipment can be the longitude, latitude and altitude corresponding to each corner point of each photovoltaic string; and the three-dimensional geographic information of the equipment corresponding to other equipment except the photovoltaic strings can be the longitude and latitude of the position point in the central area marked above.

[0082] In addition, in an optional embodiment of the present application, the terrain three-dimensional geographic information, equipment three-dimensional geographic information and equipment name number extracted from the orthophoto map can be specifically: exporting a labeling file from the Ovi map corresponding to the orthophoto map; wherein the labeling file is a KML / XML file.

[0083] It can be understood that the annotation file is a file that records the above-mentioned three-dimensional geographic information of the terrain, three-dimensional geographic information of the equipment, and data information such as the equipment name and number. In this embodiment, it is exported in the format of a KML / XML file to ensure that the subsequent three-dimensional modeling software can directly read the annotation file to obtain data information such as the three-dimensional geographic information of the terrain, three-dimensional geographic information of the equipment, and equipment name and number.

[0084] S4: Use 3D modeling software to read the 3D geographic information of the terrain, the 3D geographic information of the equipment, and the equipment name and number, create a surface simulation model of the target photovoltaic power station, an equipment simulation model, and a hierarchical management relationship between the equipment simulation models, and obtain a digital twin simulation model of the target photovoltaic power station.

[0085] The 3D modeling software in this embodiment can be any commonly used digital scene 3D modeling software, such as Cinema 4D software, Blender software, 3ds Max software, and Unreal Engine software. On this basis, because the terrain 3D geographic information, equipment 3D geographic information, equipment name number and other data information are exported in the form of annotation files, the terrain 3D geographic information, equipment 3D geographic information, equipment name number and other data information can be directly imported into the 3D modeling software, thereby realizing the digital twin simulation model of the target photovoltaic power station.

[0086] In this embodiment, the creation of the digital twin simulation model of the target photovoltaic power station mainly includes the power station surface simulation model, the equipment simulation model and the hierarchical management relationship between the equipment simulation models.

[0087] Optionally, the process of creating a digital twin simulation model of the target photovoltaic component may specifically include:

[0088] S41: determining the string type of each photovoltaic string according to the number of corner points of each photovoltaic string;

[0089] S42: When the photovoltaic string is a regular rectangular string, according to the first center point coordinate formula and the corner point geographic information of the photovoltaic string, and calculate and determine the photovoltaic center geographic information of the photovoltaic string ;in, , , , They are the corner point geographic information of the four corner points of the photovoltaic string;

[0090] S43: When the photovoltaic string is an irregular string, according to the second center point coordinate formula and the corner point geographic information of the photovoltaic string, and calculate and determine the photovoltaic center geographic information of the photovoltaic string ;in, ; , , , , The corner point geographic information of the five corner points of the photovoltaic string;

[0091] S44: creating a power station surface simulation model based on the three-dimensional geographic information of the terrain;

[0092] S45: creating and configuring simulation models of various devices in the power station surface simulation model according to the central area location points of other devices, the photovoltaic center geographic information, and the corner point geographic information.

[0093] In this embodiment, in order to more accurately locate the geographical location of each photovoltaic string, and then more realistically simulate and restore the position of the photovoltaic string in the target photovoltaic power station in the digital twin simulation model, the center point of the photovoltaic string is determined based on the corner point of each photovoltaic string.

[0094] like Figure 2 As shown in the figure, the number of photovoltaic modules in each photovoltaic string in the target photovoltaic power station can be an odd number or an even number. When the number of photovoltaic modules in the photovoltaic string is an even number, the photovoltaic modules can be spliced ​​together to form a rectangular photovoltaic string; when the number of photovoltaic modules in the photovoltaic string is an odd number, the photovoltaic modules can be spliced ​​together to form a rectangular photovoltaic string. Figure 2 The irregular photovoltaic string shown in the figure contains two rows of photovoltaic modules, and the number of photovoltaic modules in one row is one more than that in the other row. Obviously, for a regular rectangular photovoltaic string, the number of corner points should be 4, while for an irregular photovoltaic string, the number of corner points should be 5; therefore, the type of photovoltaic string can be determined based on the number of corner points corresponding to each photovoltaic string.

[0095] When the PV string is a regular rectangle, the three-dimensional geographic information determined by directly averaging the geographic information of the four corner points is the photovoltaic center geographic information of the PV string.

[0096] When the photovoltaic strings are irregular, the maximum and minimum values ​​corresponding to the longitude, latitude and altitude of the five corner points can be determined first, and the photovoltaic center geographic information of the photovoltaic strings can be determined based on the average value between the maximum and minimum values ​​corresponding to the geographic information of the above three dimensions. In the subsequent process of creating the string simulation model of each photovoltaic string, the simulation model of each string can be created and configured based on the photovoltaic center geographic information location corresponding to each photovoltaic string.

[0097] In the process of creating a digital twin simulation model, a power station surface simulation model can be first created based on the three-dimensional geographic information of the terrain. The power station surface simulation model is a ground model that can accurately restore the slope changes of the ground where the target photovoltaic power station is located. After the power station surface simulation model is created, the device simulation model of each device unit can be created on the surface simulation model. Because each device simulation model is created and configured on the power station surface simulation model with slope changes, the location of each device simulation model can not only accurately restore the latitude and longitude coordinates of each device unit in the real target photovoltaic module, but also restore the height information of the device unit, so that the digital twin scene displayed by the digital twin simulation model is closer to the real power station.

[0098] On this basis, in an optional implementation of this embodiment, the process of creating and configuring simulation models of various devices in the power station surface model may further include:

[0099] S451: Selecting a device simulation model corresponding to each other device from pre-created simulation models according to the device type of the other device;

[0100] S452: configuring device simulation models corresponding to other devices in the power station surface simulation model at the central area location of other devices;

[0101] S453: Determine the photovoltaic position area of ​​the photovoltaic string on the power station surface model according to the corner point geographic information of the photovoltaic string;

[0102] S454: Based on the slope information corresponding to the photovoltaic location area, combined with the rotation angle formula , determine the rotation angle of the photovoltaic string model; where, is the vertical normal vector; is the surface normal vector of the photovoltaic location area;

[0103] S455: According to the string type corresponding to each photovoltaic string, a corresponding string simulation model is selected from pre-created string models;

[0104] S456: Determine the projection center point information of the center point of each row of photovoltaic strings on the ground according to the photovoltaic center geographic information of each photovoltaic string;

[0105] S457: Based on the projection center point information and scaling formula of each row of photovoltaic strings , determine the scaling ratio of each row of PV strings; where, is the height difference between the projection center points of two adjacent rows of photovoltaic strings; It is the horizontal distance between the projection center points of two adjacent rows of photovoltaic strings in the horizontal direction perpendicular to the extension direction of the single row of photovoltaic strings;

[0106] S458: According to the photovoltaic center geographic information and string simulation model corresponding to each photovoltaic string, the string simulation model corresponding to each photovoltaic string is configured on the power station surface simulation model according to the rotation angle and the scaling ratio.

[0107] like Figures 3 to 6 As shown, in this embodiment, in order to improve the efficiency of creating each device simulation model in the digital twin simulation model, a corresponding device simulation model is pre-created for each device unit, for example, Figure 3 and Figure 4 The simulation models of a box-type transformer and a string inverter are shown respectively; Figure 5 and Figure 6 Two different types of string simulation models are shown respectively.

[0108] Therefore, when configuring the device simulation models corresponding to other equipment except photovoltaic strings on the surface simulation model of each power station, it is only necessary to determine the spatial position of the corresponding device simulation model on the surface simulation model of the power station based on the three-dimensional geographic information of the central area location point corresponding to the other equipment, and then select the corresponding device simulation model and configure it on the surface simulation model of the power station according to the central area location point.

[0109] Unlike other devices, in the target photovoltaic power station, the number of photovoltaic strings is huge and closely arranged, so the simulation accuracy of each photovoltaic string is relatively higher. On this basis, it can be understood that for horizontal ground, when configuring the string simulation model corresponding to the photovoltaic string, it is only necessary to configure the string simulation model of the corresponding model in the power station surface simulation model according to the photovoltaic center geographic information; and for the ground with an inclined slope, the corresponding string simulation model should also be rotated and tilted accordingly with the ground slope where it is located. For this reason, in this embodiment, the projection center point information of the center point of the photovoltaic string on the ground is further determined based on the photovoltaic center point geographic information of the photovoltaic string. It can be understood that the longitude and latitude of the projection center point information should be the same as the longitude and latitude of the photovoltaic center point geographic information, and the height of the projection center point information should be the height corresponding to the position point on the ground surface of the target photovoltaic power station at the same longitude and latitude; and the angle between the normal vector corresponding to the projection center point on the ground of the target photovoltaic power station and the vertical direction is the angle that the string simulation model corresponding to the photovoltaic string needs to rotate when it is configured in the power station surface simulation model.

[0110] In addition, in order to avoid the situation where two adjacent rows of photovoltaic strings offset each other due to different slopes of the ground terrain, which is inconsistent with the actual installation situation, the scaling ratio between the two adjacent rows of photovoltaic strings is further determined.

[0111] It should be noted that, in the actual installation of photovoltaic strings, the ground terrain where the same row of photovoltaic strings is located should be a flat ground with the same slope; therefore, the scaling formula in this embodiment is The scaling ratio determined in is also the scaling ratio between two adjacent rows of photovoltaic strings; It is the height difference between the projection center points of two adjacent rows of photovoltaic strings; theoretically, the center points of the same row of photovoltaic strings should be on the same straight line. For this reason, the common center point of each photovoltaic string in the same row can be taken (that is, the average value of the photovoltaic center geographic information corresponding to the center points of each photovoltaic module). Based on the projection point of the center point of each photovoltaic string in the same row on the ground, it is also the projection center point of the row of photovoltaic strings. Therefore, the height difference h and the horizontal distance d can be determined based on the three-dimensional geographic information of the projection center point of each row of photovoltaic strings.

[0112] After determining the rotation angle corresponding to each PV string and the scaling ratio corresponding to two adjacent rows of PV strings, you can select a pre-created string simulation model based on the type of each PV string, and then batch configure all string simulation models on the power station surface simulation model according to the rotation angle and scaling ratio, which can greatly improve the simulation efficiency of large-scale PV strings.

[0113] In addition, it should be noted that when scaling the string simulation models corresponding to two adjacent rows of photovoltaic strings based on the above-mentioned scaling ratio, all photovoltaic strings in the second row of photovoltaic strings can be scaled according to the scaling ratio corresponding to the first row of photovoltaic strings and the second row of photovoltaic strings, and then based on the scaling ratio determined between the second row of photovoltaic strings and the third row of photovoltaic strings, each photovoltaic string in the third row of photovoltaic strings is scaled, and so on and so forth to achieve the configuration of the string simulation models corresponding to each row of photovoltaic strings, and ultimately ensure that the string simulation models of each adjacent and fitted photovoltaic string can be seamlessly spliced, thereby avoiding the problem of spatial overlap between the string simulation models, thereby ensuring the authenticity of the string simulation models of each photovoltaic string.

[0114] Based on the above discussion, after implementing the configuration of each equipment simulation model on the power station surface simulation model, it is necessary to further create a hierarchical management relationship between the equipment simulation models. Figure 7 It can be understood that the hierarchical management relationship in the present application is essentially a hierarchical division between the equipment units according to the electrical connection relationship between the equipment units, and the divided hierarchical relationship is mainly used to determine the way of displaying the POI data of each equipment unit. Therefore, the hierarchical management relationship between the equipment units is essentially the same circuit connection relationship between the equipment units. For example, each box-type transformer belongs to the same level; the inverter belongs to the relationship between the box-type transformer and the upper and lower levels. On this basis, this relationship is further used to set the POI data display method of each equipment unit by first displaying the POI data of the previous level and then the next level, and searching for the POI data of the next level through the previous level.

[0115] In this process, the POI data corresponding to each device simulation model can be constructed first. The POI data corresponding to each device simulation model can be displayed in the digital twin scene and is data that represents the working status parameters of the device.

[0116] As mentioned above, the device name number corresponding to each device unit includes the hierarchical management relationship between the device units, such as Figure 7 As shown in the figure, the simulation models of each device are organized according to the parent-child relationship (i.e., the upper and lower hierarchical relationship) of the device name number, and a scene display method is created to ensure that the collection circuit, box transformer, string inverter and photovoltaic string are connected according to Figure 7 The hierarchical management relationship shown is used to generate POI data configuration corresponding to each level of equipment, such as POI data of the central line circuit, box transformer, string inverter, etc.

[0117] In the future, the front-end secondary development of the two-dimensional panel can be carried out according to the data that the digital twin project needs to present. The front-end display interaction methods include:

[0118] Based on the interactive settings in the digital twin scene displayed by the digital twin simulation model, when the user clicks on the box-type transformer POI, the box-type transformer information panel pops up;

[0119] When the user clicks on a specific inverter POI, a string simulation model associated with the inverter is located and displayed, and real-time operation data of the photovoltaic string corresponding to the string simulation model is obtained.

[0120] Based on any of the above embodiments, in an optional embodiment of the present application, it further includes:

[0121] Marking and storing the rendering surface geometry parameters of each device simulation model;

[0122] Rendering parameters of simulation models according to different types of storage devices;

[0123] Accordingly, after obtaining the digital twin simulation model of the target photovoltaic power station, when the digital twin simulation scene is displayed through the digital twin simulation model, each device simulation model in the display interface is rendered according to the corresponding rendering parameters, and the rendering surface determined by the rendering surface geometric parameters on the device simulation model is rendered.

[0124] In this embodiment, in order to improve the similarity between the digital twin scene displayed by the digital twin simulation model and the actual scene, when the digital twin simulation model is displayed as a digital twin scene, each device simulation model in the display interface is further rendered. However, considering that if each device simulation model is rendered with independent color, it will lead to an excessively high number of draw calls, especially when there are hundreds of thousands or even millions of photovoltaic panels in the display interface, the rendering performance drops sharply and the frame rate becomes extremely low, which seriously affects the real-time performance and stability of the system.

[0125] To this end, in this embodiment, the geometric data sharing of the device simulation model can be established. For example, the geometric data of the string simulation model refers to the three-dimensional structural information such as vertices, edges, and faces corresponding to the rendering surface that the model needs to render, which characterizes the shape, size, normal direction, and surface texture of the string simulation model corresponding to each photovoltaic string. And when each string simulation model is configured in the digital twin simulation model, the geometric data of the rendering surface of each string simulation model is loaded into the GPU memory at one time and used as a shared resource. When batch rendering the string simulation models of N photovoltaic strings, the GPU can directly render by referencing the stored geometric data, avoiding repeated loading and processing of each string simulation model, thereby reducing memory usage and reducing the data transmission cost between the CPU and the GPU. In the batch-generated N string simulation models, all N string simulation models share the same set of rendering surface geometry parameters. Each instantiated string simulation model is defined by the position information matrix, rotation matrix, and scaling matrix to define its specific position, direction, and size change in the three-dimensional digital twin simulation scene. The GPU adjusts the rendering of the model by applying the position information matrix, rotation matrix, and scaling matrix according to the position parameters of each string simulation model. By using shared geometry data, the GPU does not need to process the geometry information of the surface to be rendered for each photovoltaic string separately. It only needs to perform the above transformation on the matrix to render the string simulation model at different positions, thereby significantly improving the rendering performance by reducing the number of draw calls.

[0126] On this basis, the rendering parameters for each device simulation model can also be pre-set and stored. When the device simulation model in the actual rendering display interface is displayed, the existing rendering parameters can be directly called from the database for rendering, which can also improve the rendering efficiency to a certain extent.

[0127] In addition, in the digital twin simulation scene, different equipment simulation models may need to dynamically adjust their positions, rotations, and scales due to factors such as terrain slope and lighting angle, and the corresponding rendering methods should also change accordingly. According to the real-time status currently displayed in the display interface, the rendering parameters corresponding to each equipment simulation model are dynamically updated without reloading geometric data, thus ensuring efficient rendering of a large number of string simulation models in complex terrain.

[0128] Based on the above embodiment, in another optional embodiment of the present application, after creating and configuring each device simulation model on the power station surface simulation model, the following may be further included:

[0129] Multiple LOD models of different levels are configured for each device simulation model;

[0130] When a digital twin simulation scene is displayed through a digital twin simulation model, a LOD model of a corresponding level is selected for display according to the display distance of the device simulation model in the display interface; the longer the display distance, the lower the level of the displayed LOD model.

[0131] It is understandable that when using a digital twin simulation model to display a digital twin simulation scene, based on the different display angles and directions, the distances of the simulation models of each device displayed in the display screen in the display field of view are also different, and the display rules also conform to the visual law that things are small when far away and big when near.

[0132] On this basis, in this embodiment, different levels of LOD models are constructed for each device simulation model in the digital twin simulation model according to different levels. In the digital twin scene displayed by the digital twin simulation model, the perspective of the virtual camera is used as the display perspective, and the display distance between the virtual camera and each device simulation model is calculated. The LOD models of different levels corresponding to the distance are determined according to the set threshold, and the detail levels of the LOD models of different levels are automatically adjusted and displayed. For example, a low-polygon version of the LOD model is used for a photovoltaic string at a long distance, and a high-precision LOD model is used for a photovoltaic string at a close distance.

[0133] Furthermore, in another optional embodiment of the present embodiment, the process of rendering each device simulation model displayed in the digital twin simulation scene displayed by the digital twin simulation model may further include:

[0134] The rendering priority of each device simulation model is determined according to the current LOD model level displayed by each device simulation model in the display interface, wherein the higher the LOD model level, the higher the rendering priority level;

[0135] Render each device simulation model in the display interface in sequence according to the rendering priority.

[0136] In this embodiment, when rendering each device simulation model, the rendering priority can be set based on the different levels of the LOD models corresponding to each device unit; generally speaking, the device unit with a higher LOD model level is also the device model currently displayed, so it can be rendered first. On this basis, as the display screen changes dynamically, the rendering priority of rendering each device simulation model can also change accordingly with the LOD model level of the device simulation model.

[0137] And when the perspective of the digital twin scene moves or rotates, the viewing cone range of the current display perspective is calculated in real time, and the device simulation models that are not within the field of view are eliminated. For device simulation models in areas outside the viewing cone, they are delayed loading or not loaded. Only when the device simulation model enters the viewing cone, it is loaded step by step.

[0138] In addition, in the digital twin scenario of a large-scale photovoltaic power station with repeated equipment units, the scene rendering task can be distributed on multiple computing nodes for processing. Each node is responsible for rendering a different area, and finally the rendering results of all areas are aggregated.

[0139] Furthermore, an area adjacent to the display area in the current display interface can be used as an area to be displayed, and the device simulation model and rendering parameters in the area to be displayed can be pre-loaded into the memory. Once the area to be displayed enters the viewing cone of the display perspective, the device simulation model in the area to be displayed can be quickly rendered and displayed, thereby avoiding rendering freezes when the perspective is switched or moved.

[0140] In summary, in this application, based on the orthophoto image of the real scene in the target photovoltaic power station collected by drone, the three-dimensional geographic information of the equipment unit is obtained through the orthophoto image, and the three-dimensional geographic information of the terrain where the target photovoltaic power station is located is also obtained. Therefore, when actually creating a digital twin simulation model of the photovoltaic power station, a power station surface simulation model with slope changes in the photovoltaic power station can be more realistically simulated, and a device simulation model with a layout that changes with the surface slope is created on the power station surface simulation model, thereby making the entire digital twin simulation model closer to the real scene of the photovoltaic power station, rather than simply digitally simulating the entire photovoltaic power station from a two-dimensional perspective. Therefore, when determining the inspection route of the faulty equipment based on the photovoltaic power station scene displayed by the digital twin simulation model, the problem of inaccurate inspection routes caused by complex actual terrain can be avoided, thereby reducing the difficulty of inspection and operation and maintenance of photovoltaic power stations. In addition, the three-dimensional geographic information of the terrain and the geographic information of the equipment in this application are directly extracted from the orthophoto image, and are automatically read and obtained through three-dimensional modeling software, thereby ensuring the efficiency of obtaining the three-dimensional geographic information corresponding to the power station terrain and equipment units, etc., which is conducive to the rapid creation of digital twin models of large-scale photovoltaic power stations.

[0141] The digital twin simulation model generation device for a photovoltaic power station provided in an embodiment of the present invention is introduced below. The digital twin simulation model generation device for a photovoltaic power station described below and the digital twin simulation model generation method for a photovoltaic power station described above can refer to each other.

[0142] Figure 8 The structural block diagram of the digital twin simulation model generation device of the photovoltaic power station provided by the embodiment of the present invention is shown in FIG. Figure 8 The digital twin simulation model generation device of the photovoltaic power station may include:

[0143] The data acquisition module 100 obtains an orthophoto image of the target photovoltaic power station collected by the drone;

[0144] The equipment marking module 200 is used to mark each equipment unit in the orthophoto map and mark the equipment name number corresponding to each equipment unit;

[0145] A data extraction module 300 is used to extract the three-dimensional geographic information of the terrain of the target photovoltaic power station, the three-dimensional geographic information of each of the equipment units and the equipment name number from the orthophoto map;

[0146] The model creation module 400 is used to use three-dimensional modeling software to read the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment and the equipment name and number, create a power station surface simulation model, an equipment simulation model and a hierarchical management relationship between each of the equipment simulation models of the target photovoltaic power station, and obtain a digital twin simulation model of the target photovoltaic power station.

[0147] In an optional embodiment of the present application, the equipment marking module 200 is specifically used to mark the corner points of each photovoltaic string in the orthophoto image and the central area position points of other equipment except the photovoltaic string; wherein the other equipment at least includes a collection circuit, a transformer and an inverter;

[0148] Accordingly, the data extraction module 300 is specifically used to extract the corner point geographic information of each corner point of each photovoltaic string, wherein the corner point geographic information includes the longitude and latitude of the corner point;

[0149] Extracting the central geographic information of the central area location point of each of the other devices, wherein the central geographic information includes the longitude, latitude and altitude of the central area location point

[0150] Accordingly, the model creation module 400 is specifically used to determine the string type of each group of photovoltaic strings according to the number of corner points of each photovoltaic string; when the photovoltaic string is a regular rectangular string, according to the first center point coordinate formula and the corner point geographic information of the photovoltaic string, and calculate and determine the photovoltaic center geographic information of the photovoltaic string ;in, , , , are the corner point geographic information of the four corner points of the photovoltaic string; when the photovoltaic string is an irregular string, the second center point coordinate formula is used and the corner point geographic information of the photovoltaic string, and calculate and determine the photovoltaic center geographic information of the photovoltaic string ;in, ; , , , , The corner point geographic information of the five corner points of the photovoltaic string are respectively; according to the central area location point of the other equipment, the photovoltaic center geographic information, and the corner point geographic information, the simulation model of each device is created and configured in the power station surface simulation model.

[0151] In an optional embodiment of the present application, the model creation module 400 specifically includes:

[0152] A first creation unit is used to select a device simulation model corresponding to each of the other devices from a pre-created simulation model according to the device type of the other devices; and configure the device simulation model corresponding to the other devices in the power station surface simulation model at a central area position point of the other devices;

[0153] The processing unit is used to determine the photovoltaic position area of ​​the photovoltaic string on the surface model of the power station according to the corner point geographic information of the photovoltaic string; according to the slope information corresponding to the photovoltaic position area, combined with the rotation angle formula , determine the rotation angle of the photovoltaic string model; where, is the vertical normal vector; is the surface normal vector of the photovoltaic position area; according to the string type corresponding to each photovoltaic string, the corresponding string simulation model is selected from the pre-created string models; according to the photovoltaic center geographic information of each photovoltaic string, the projection center point information of the center point of each row of photovoltaic strings on the ground is determined; according to the projection center point information of each row of photovoltaic strings and the scaling formula , determine the scaling ratio of each row of photovoltaic strings; wherein, is the height difference between the projection center points of two adjacent rows of the photovoltaic strings; The horizontal distance between the projection center points of two adjacent rows of photovoltaic strings in the horizontal direction perpendicular to the extension direction of the photovoltaic strings in a single row;

[0154] The second creation unit is used to configure the string simulation model corresponding to each photovoltaic string on the power station surface simulation model according to the photovoltaic center geographic information corresponding to each photovoltaic string and the string simulation model, according to the rotation angle and the scaling ratio.

[0155] In an optional embodiment of the present application, the model creation module 400 is specifically used to construct POI data for each of the device simulation models; according to the device name numbers corresponding to each of the device units, the hierarchical management relationship between the device units is determined, so as to display the POI data corresponding to each of the device simulation models according to the hierarchical management relationship.

[0156] In an optional embodiment of the present application, the data extraction module 300 is specifically used to export a labeling file from the Aowei map corresponding to the orthophoto map; wherein the labeling file is a KML / XML file;

[0157] The model creation module 400 is also specifically used to interpret the annotation file using the three-dimensional modeling software to obtain the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment, and the name and number of the equipment.

[0158] In an optional embodiment of the present application, it also includes a model rendering module, which is used to mark and store the rendering surface geometric parameters of each of the device simulation models; store the rendering parameters of the device simulation models according to different types; after obtaining the digital twin simulation model of the target photovoltaic power station, when the digital twin simulation scene is displayed through the digital twin simulation model, for each of the device simulation models in the display interface, render the rendering surface determined by the rendering surface geometric parameters on the device simulation model according to the corresponding rendering parameters.

[0159] In an optional embodiment of the present application, the model creation module 400 is specifically used to configure multiple LOD models of different levels for each of the device simulation models; when the digital twin simulation scene is displayed through the digital twin simulation model, the LOD model of the corresponding level is selected for display according to the display distance of the device simulation model in the display interface; wherein, the longer the display distance, the lower the level of the LOD model displayed.

[0160] In an optional embodiment of the present application, the model rendering module is also used to determine the rendering priority of each device simulation model according to the current LOD model level displayed by each device simulation model in the display interface, wherein the higher the LOD model level, the higher the rendering priority level; and each device simulation model in the display interface is rendered in sequence according to the rendering priority.

[0161] The digital twin simulation model generation device of the photovoltaic power station in this embodiment is used to implement the aforementioned digital twin simulation model generation method of the photovoltaic power station. Therefore, the specific implementation method of the digital twin simulation model generation device of the photovoltaic power station can be seen in the embodiment part of the digital twin simulation model generation method of the photovoltaic power station in the previous text. Its specific implementation method can refer to the description of the corresponding each part embodiment, which will not be repeated here.

[0162] The present application also provides an embodiment of a device for generating a digital twin simulation model of a photovoltaic power station, which may include:

[0163] Memory for storing computer programs;

[0164] A processor is used to execute the computer program to perform the steps of the method for generating a digital twin simulation model of a photovoltaic power station as described in any one of the above items.

[0165] The method for generating a digital twin simulation model of a photovoltaic power station executed by the processor in this embodiment may include:

[0166] Obtain an orthophoto map of a target photovoltaic power station collected by a drone; mark each equipment unit in the orthophoto map, and annotate the equipment name number corresponding to each equipment unit; extract the three-dimensional geographic information of the terrain of the target photovoltaic power station, the three-dimensional geographic information of the equipment of each equipment unit, and the equipment name number from the orthophoto map; use three-dimensional modeling software to read the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment, and the equipment name number, create a power station surface simulation model of the target photovoltaic power station, an equipment simulation model, and a hierarchical management relationship between each of the equipment simulation models, and obtain a digital twin simulation model of the target photovoltaic power station.

[0167] The memory may be a random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the technical field.

[0168] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the term "includes", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or equipment comprising a series of elements are inherent to the elements. In the absence of more restrictions, the elements limited by the sentence "comprising one..." do not exclude the presence of other identical elements in the process, method, article or equipment comprising the elements. In addition, the above-mentioned technical solution provided in the embodiment of the present application is consistent with the corresponding technical solution in the prior art in principle, and the part is not described in detail, so as to avoid too much redundancy.

[0169] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core ideas of the present invention. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, the present invention can also be improved and modified, and these improvements and modifications also fall within the scope of protection of the present invention.

Claims

1. A method for generating a digital twin simulation model of a photovoltaic power station, characterized in that: include: Obtain the orthophoto image of the target photovoltaic power station collected by the drone; Mark each device unit in the orthophoto map and annotate the device name and number corresponding to each device unit; Extracting the three-dimensional geographical information of the terrain of the target photovoltaic power station, the three-dimensional geographical information of each of the equipment units and the equipment name number from the orthophoto map; Use three-dimensional modeling software to read the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment and the equipment name and number, create a power station surface simulation model, an equipment simulation model of the target photovoltaic power station and a hierarchical management relationship between the equipment simulation models, and obtain a digital twin simulation model of the target photovoltaic power station.

2. The method for generating a digital twin simulation model of a photovoltaic power station according to claim 1, characterized in that: Mark out each equipment unit in the orthophoto map, including: Mark the corner points of each photovoltaic string in the orthophoto and the central area position points of other equipment except the photovoltaic string; wherein the other equipment at least includes a collection circuit, a transformer and an inverter; Accordingly, extracting the three-dimensional geographic information of each of the equipment units includes: Extracting corner point geographic information of each corner point of each photovoltaic string, wherein the corner point geographic information includes the longitude and latitude of the corner point; Extracting central geographic information of a central area location point of each of the other devices, wherein the central geographic information includes the longitude, latitude and altitude of the central area location point; Accordingly, the process of creating a power station surface simulation model and an equipment simulation model of the target photovoltaic power station includes: Determining the string type of each group of the photovoltaic strings according to the number of corner points of each photovoltaic string; When the photovoltaic string is a regular rectangular string, according to the first center point coordinate formula and the corner point geographic information of the photovoltaic string, and calculate and determine the photovoltaic center geographic information of the photovoltaic string ;in, , , , The corner point geographic information of the four corner points of the photovoltaic string; When the photovoltaic string is an irregular string, according to the second center point coordinate formula and the corner point geographic information of the photovoltaic string, and calculate and determine the photovoltaic center geographic information of the photovoltaic string ;in, ; , , , , The corner point geographic information of the five corner points of the photovoltaic string; Creating a power station surface simulation model based on the three-dimensional geographic information of the terrain; According to the central area location points of the other devices, the photovoltaic center geographical information, and the corner point geographical information, simulation models of the devices are created and configured in the power station surface simulation model.

3. The method for generating a digital twin simulation model of a photovoltaic power station according to claim 2, characterized in that: The process of creating and configuring simulation models of various devices in the power station surface simulation model includes: According to the device type of the other devices, select a device simulation model corresponding to each of the other devices from the pre-created simulation models; Configure the device simulation model corresponding to the other device in the power station surface simulation model at the central area position point of the other device; Determining the photovoltaic position area of ​​the photovoltaic string on the surface model of the power station according to the corner point geographic information of the photovoltaic string; According to the slope information corresponding to the photovoltaic location area, combined with the rotation angle formula , determine the rotation angle of the photovoltaic string model; where, is the vertical normal vector; is the surface normal vector of the photovoltaic location area; According to the string type corresponding to each photovoltaic string, a corresponding string simulation model is selected from the pre-created string models; Determine the projection center point information of the center point of each row of the photovoltaic strings on the ground according to the photovoltaic center geographic information of each photovoltaic string; According to the projection center point information and scaling formula of each row of photovoltaic strings , determine the scaling ratio of each row of photovoltaic strings; wherein, is the height difference between the projection center points of two adjacent rows of the photovoltaic strings; The horizontal distance between the projection center points of two adjacent rows of photovoltaic strings in the horizontal direction perpendicular to the extension direction of the photovoltaic strings in a single row; According to the photovoltaic center geographic information and the string simulation model corresponding to each photovoltaic string, the string simulation model corresponding to each photovoltaic string is configured on the power station surface simulation model according to the rotation angle and the scaling ratio.

4. The method for generating a digital twin simulation model of a photovoltaic power station according to claim 1, characterized in that: The process of creating a hierarchical management relationship between the device simulation models includes: Constructing POI data of each of the device simulation models; According to the device name numbers respectively corresponding to the device units, the hierarchical management relationship between the device units is determined, so as to display the POI data corresponding to the device simulation models according to the hierarchical management relationship.

5. The method for generating a digital twin simulation model of a photovoltaic power station according to claim 1, characterized in that: Extracting the three-dimensional geographic information of the terrain of the target photovoltaic power station, the three-dimensional geographic information of each of the equipment units and the equipment name number from the orthophoto map includes: Exporting a labeling file from the Aowei map corresponding to the orthophoto; wherein the labeling file is a KML / XML file; Accordingly, the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment and the name and number of the equipment are read using three-dimensional modeling software, including: The annotation file is interpreted using the three-dimensional modeling software to obtain the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment, and the name and number of the equipment.

6. The method for generating a digital twin simulation model of a photovoltaic power station according to any one of claims 1 to 5, characterized in that: After creating the device simulation model, it also includes: Marking and storing rendering surface geometric parameters of each of the device simulation models; storing rendering parameters of the device simulation model according to different types; Correspondingly, after obtaining the digital twin simulation model of the target photovoltaic power station, when the digital twin simulation scene is displayed through the digital twin simulation model, each device simulation model in the display interface is rendered according to the corresponding rendering parameters, and the rendering surface determined by the rendering surface geometric parameters on the device simulation model is rendered.

7. The method for generating a digital twin simulation model of a photovoltaic power station according to claim 6, characterized in that: After creating the device simulation model, it also includes: A plurality of LOD models of different levels are configured for each of the device simulation models; When the digital twin simulation scene is displayed through the digital twin simulation model, the LOD model of the corresponding level is selected for display according to the display distance of the device simulation model in the display interface; wherein, the farther the display distance is, the lower the level of the LOD model displayed is.

8. The method for generating a digital twin simulation model of a photovoltaic power station according to claim 7, characterized in that: Rendering the rendering surface determined by the rendering surface geometric parameters on the device simulation model according to the corresponding rendering parameters for each device simulation model in the display interface includes: Determine the rendering priority of each device simulation model according to the current LOD model level displayed by each device simulation model in the display interface, wherein the higher the LOD model level, the higher the rendering priority level; The device simulation models in the display interface are rendered in sequence according to the rendering priority.

9. A device for generating a digital twin simulation model of a photovoltaic power station, characterized in that: include: The data acquisition module obtains the orthophoto image of the target photovoltaic power station collected by the drone; An equipment marking module is used to mark each equipment unit in the orthophoto map and annotate the equipment name and number corresponding to each equipment unit; A data extraction module, used to extract the three-dimensional geographic information of the terrain of the target photovoltaic power station, the three-dimensional geographic information of each of the equipment units and the equipment name number from the orthophoto map; The model creation module is used to use three-dimensional modeling software to read the three-dimensional geographic information of the terrain, the three-dimensional geographic information of the equipment and the equipment name and number, create a power station surface simulation model, an equipment simulation model of the target photovoltaic power station and a hierarchical management relationship between the equipment simulation models, and obtain a digital twin simulation model of the target photovoltaic power station.

10. A digital twin simulation model generation device for a photovoltaic power station, characterized in that: include: Memory for storing computer programs; A processor is used to execute the computer program to perform the steps of the method for generating a digital twin simulation model of a photovoltaic power station as described in any one of claims 1 to 8.

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