Photovoltaic power station full-field component deployment orientation surveying method, device and electronic equipment

Abstract

The application relates to a survey method and device for deployment directions of all components of a photovoltaic power station and electronic equipment, wherein the method comprises the following steps: constructing a basic image model of the photovoltaic power station containing three-dimensional space positions; constructing an identification rule of photovoltaic components in the basic image model, and establishing a model identification rule based on image characteristics corresponding to the frame and panel of the photovoltaic components to extract a calculation image model; determining three-dimensional space coordinates of a photovoltaic component support row in the calculation image model to identify an azimuth angle and an inclination angle, and generating deployment direction information of all components in the photovoltaic power station. Thus, the problems in the prior art that the number of photovoltaic components is large, the on-site direction distribution is complex and changeable, the manual on-site measurement method is low in efficiency and insufficient in measurement accuracy, the actual direction distribution of all components cannot be quickly and accurately mastered, and the like are solved.

Description

Technical Field

[0001] This application relates to the field of new energy - photovoltaic power generation technology, and in particular to a method, device and electronic equipment for surveying the orientation of all photovoltaic power plant modules. Background Technology

[0002] Currently, photovoltaic (PV) modules are the basic power generation units in PV power plants, with a typical 100MWp PV power plant containing approximately 200,000 PV modules. The installation orientation of PV modules directly affects their ability to receive solar radiation, thus impacting their power generation capacity. For a selected PV power plant site, there is usually an optimal design orientation for PV module installation to maximize solar radiation. However, due to constraints imposed by actual construction conditions and site topography, especially in mountainous areas and rooftop distributed systems, the installation of PV modules is often forced to deviate from the optimal design orientation. This results in the power plant's power generation efficiency deviating from the design target, thereby affecting the accurate operation and management of the PV power plant and the prediction of solar power output.

[0003] In related technologies, the actual orientation of photovoltaic power plant components is determined by on-site manual measurement. The deployment information is obtained by measuring the specific orientation angle of each photovoltaic module on-site.

[0004] However, in related technologies, due to the large number of photovoltaic modules and the complex and variable orientation distribution on site, the manual on-site measurement method is inefficient and lacks accuracy. This results in a lack of efficient and accurate survey and measurement methods, making it impossible to quickly and accurately grasp the actual orientation distribution of all modules in the site. This is not conducive to the precise operation and management of photovoltaic power plants and the accurate prediction of photovoltaic power output, and urgently needs to be improved. Summary of the Invention

[0005] This application provides a method, apparatus, and electronic equipment for surveying the orientation of all photovoltaic power plant modules, in order to solve the problem in related technologies that, due to the large number of photovoltaic modules and the complex and variable orientation distribution on site, manual on-site measurement is inefficient and lacks accuracy, making it impossible to quickly and accurately grasp the actual orientation distribution of all modules, which is not conducive to the precise operation and management of photovoltaic power plants.

[0006] The first aspect of this application provides a method for surveying the orientation of all photovoltaic (PV) power plant components, comprising the following steps: constructing a basic image model of the PV power plant containing three-dimensional spatial locations; constructing identification rules for PV components in the basic image model, and establishing model identification rules based on the image characteristics of the PV component's frame and panel to extract a computational image model; determining the three-dimensional spatial coordinates of the PV component support rows in the computational image model to identify azimuth and tilt angles, and generating the orientation information of all components in the PV power plant.

[0007] Through the above-mentioned technical means, the embodiments of this application can construct a three-dimensional basic image model and establish recognition rules in combination with the image characteristics of photovoltaic modules to extract and calculate the image model, accurately identify the azimuth and tilt angles of the module support row, and quickly complete the accurate measurement of the orientation of the modules in the entire photovoltaic power station. This enables automated and high-precision surveying of the orientation of photovoltaic power station modules, fills the gap in photovoltaic module orientation surveying technology, can serve the refined operation and management of photovoltaic power stations, improve management efficiency, and has strong application value.

[0008] Optionally, in one embodiment of this application, the method further includes: generating an installation consistency report and / or construction quality report for the photovoltaic power station based on the deployment orientation information; and / or, identifying the deployment status of all components based on the deployment orientation information, and obtaining at least one of the photovoltaic support deformation information, component appearance damage information, and terrain change information of all components to generate a fault warning.

[0009] Through the aforementioned technical means, the embodiments of this application can generate installation consistency reports and construction quality reports based on deployment orientation information, which can intuitively reflect the compliance and uniformity of photovoltaic module installation, providing a basis for power plant acceptance and quality control. At the same time, by identifying the deployment status of all modules and obtaining photovoltaic bracket deformation information, module appearance damage information and terrain change information, early detection and accurate location of potential faults are achieved, effectively reducing the operation risk of the power plant and improving the operation and maintenance efficiency and safety of the photovoltaic power plant.

[0010] Optionally, in one embodiment of this application, the method further includes: assessing the solar irradiance resources that the photovoltaic power station can receive based on the deployment orientation information; and calculating the theoretical power generation capacity and actual operating system efficiency of the photovoltaic power station based on the solar irradiance resources to predict the power station's solar power.

[0011] Through the above-mentioned technical means, the embodiments of this application can accurately assess the solar radiation resources that a photovoltaic power station can receive through the orientation information of photovoltaic modules, and scientifically evaluate the theoretical power generation capacity and actual operating system efficiency of the power station to predict the light power. Thus, based on the actual on-site deployment orientation prediction power, it is closer to the actual operating state of the power station, significantly improves the prediction accuracy, and provides a scientific basis for power station operation decisions.

[0012] Optionally, in one embodiment of this application, identifying the azimuth and tilt angle includes: determining the vertical normal direction of the plane where the target photovoltaic module is located; calculating the angle between the projection of the module onto the horizontal plane and the south-direction coordinate axis based on the vertical normal direction of the plane, and determining the azimuth.

[0013] Through the above-mentioned technical means, the embodiments of this application can determine the azimuth angle by determining the vertical normal direction of the plane where the target photovoltaic module is located, and calculating the angle between the projection of the vertical normal direction on the horizontal plane and the south-direction coordinate axis. This can accurately reflect the actual orientation of the photovoltaic module, avoid measurement errors caused by terrain undulations and installation deviations, ensure the consistency and reliability of the azimuth angle data of the entire field of modules, and lay the foundation for the accurate generation of orientation information for the subsequent deployment of the entire field of modules.

[0014] Optionally, in one embodiment of this application, identifying the azimuth angle and tilt angle includes: determining the angle between the plane where the target photovoltaic module is located and the horizontal plane; and determining the tilt angle based on the angle between the plane where the module is located and the horizontal plane.

[0015] Through the above-mentioned technical means, the embodiments of this application can determine the tilt angle by determining the angle between the plane where the target photovoltaic module is located and the horizontal plane, which directly reflects the relative positional relationship between the photovoltaic module panel and the horizontal plane. This can effectively reduce the difficulty and error of tilt angle identification, further improve the overall accuracy of module orientation information identification, and effectively support the accurate analysis and optimization of photovoltaic power plant power generation efficiency.

[0016] A second aspect of this application provides a surveying device for determining the orientation of all photovoltaic (PV) power plant components, comprising: a construction module for constructing a basic image model of the PV power plant containing its three-dimensional spatial location; an extraction module for constructing identification rules for PV components in the basic image model and establishing model identification rules based on the image characteristics of the PV component's border and panel to extract a computational image model; and a surveying module for determining the three-dimensional spatial coordinates of the PV component support rows in the computational image model to identify azimuth and tilt angles and generate orientation information for all components in the PV power plant.

[0017] Through the above-mentioned technical means, the embodiments of this application can construct a three-dimensional basic image model and establish recognition rules in combination with the image characteristics of photovoltaic modules to extract and calculate the image model, accurately identify the azimuth and tilt angles of the module support row, and quickly complete the accurate measurement of the orientation of the modules in the entire photovoltaic power station. This enables automated and high-precision surveying of the orientation of photovoltaic power station modules, fills the gap in photovoltaic module orientation surveying technology, can serve the refined operation and management of photovoltaic power stations, improve management efficiency, and has strong application value.

[0018] Optionally, in one embodiment of this application, it further includes: a first generation module, used to generate an installation consistency report and / or construction quality report of the photovoltaic power station based on the deployment orientation information; and a second generation module, used to identify the deployment status of all the components based on the deployment orientation information, and obtain at least one of the photovoltaic support deformation information, component appearance damage information, and terrain change information of all the components, so as to generate a fault warning.

[0019] Through the aforementioned technical means, the embodiments of this application can generate installation consistency reports and construction quality reports based on deployment orientation information, which can intuitively reflect the compliance and uniformity of photovoltaic module installation, providing a basis for power plant acceptance and quality control. At the same time, by identifying the deployment status of all modules and obtaining photovoltaic bracket deformation information, module appearance damage information and terrain change information, early detection and accurate location of potential faults are achieved, effectively reducing the operation risk of the power plant and improving the operation and maintenance efficiency and safety of the photovoltaic power plant.

[0020] Optionally, in one embodiment of this application, it further includes: an evaluation module, used to evaluate the solar irradiance resources that the photovoltaic power station can receive based on the deployment orientation information; and a prediction module, used to calculate the theoretical power generation capacity and actual operating system efficiency of the photovoltaic power station based on the solar irradiance resources, so as to predict the power station photovoltaic power.

[0021] Through the above-mentioned technical means, the embodiments of this application can accurately assess the solar radiation resources that a photovoltaic power station can receive through the orientation information of photovoltaic modules, and scientifically evaluate the theoretical power generation capacity and actual operating system efficiency of the power station to predict the light power. Thus, based on the actual on-site deployment orientation prediction power, it is closer to the actual operating state of the power station, significantly improves the prediction accuracy, and provides a scientific basis for power station operation decisions.

[0022] Optionally, in one embodiment of this application, the survey module includes: a first determining unit, used to determine the vertical normal direction of the plane where the target photovoltaic module is located; and a second determining unit, used to calculate the angle between the projection on the horizontal plane and the south-direction coordinate axis based on the vertical normal direction of the plane, and to determine the azimuth angle.

[0023] Through the above-mentioned technical means, the embodiments of this application can determine the azimuth angle by determining the vertical normal direction of the plane where the target photovoltaic module is located, and calculating the angle between the projection of the vertical normal direction on the horizontal plane and the south-direction coordinate axis. This can accurately reflect the actual orientation of the photovoltaic module, avoid measurement errors caused by terrain undulations and installation deviations, ensure the consistency and reliability of the azimuth angle data of the entire field of modules, and lay the foundation for the accurate generation of orientation information for the subsequent deployment of the entire field of modules.

[0024] Optionally, in one embodiment of this application, the survey module includes: a third determining unit, configured to determine the angle between the plane where the target photovoltaic module is located and the horizontal plane; and a fourth determining unit, configured to determine the tilt angle based on the angle between the plane where the module is located and the horizontal plane.

[0025] Through the above-mentioned technical means, the embodiments of this application can determine the tilt angle by determining the angle between the plane where the target photovoltaic module is located and the horizontal plane, which directly reflects the relative positional relationship between the photovoltaic module panel and the horizontal plane. This can effectively reduce the difficulty and error of tilt angle identification, further improve the overall accuracy of module orientation information identification, and effectively support the accurate analysis and optimization of photovoltaic power plant power generation efficiency.

[0026] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the survey method for determining the orientation of all photovoltaic power plant modules as described in the above embodiments.

[0027] A fourth aspect of this application provides a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the survey method for determining the orientation of all photovoltaic power plant modules as described above.

[0028] A fifth aspect of this application provides a computer program product that stores a computer program that, when executed by a processor, implements the survey method for determining the orientation of all photovoltaic power plant components as described above.

[0029] This application's embodiments can generate installation consistency reports and construction quality reports based on deployment orientation information, which can intuitively reflect the compliance and uniformity of photovoltaic module installation, providing a basis for power plant acceptance and quality control. Simultaneously, by identifying the deployment status of all modules and obtaining information on photovoltaic support deformation, module appearance damage, and terrain changes, it enables early detection and precise location of potential faults, effectively reducing power plant operational risks and improving the operation and maintenance efficiency and safety of photovoltaic power plants. Therefore, it solves the problems in related technologies where, due to the large number of photovoltaic modules and the complex and variable orientation distribution on site, manual on-site measurement methods are inefficient and lack accuracy, making it impossible to quickly and accurately grasp the actual orientation distribution of all modules, which is detrimental to the precise operation and management of photovoltaic power plants.

[0030] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0031] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a survey method for determining the orientation of all photovoltaic power plant modules according to an embodiment of this application. Figure 2 This is a schematic diagram of a three-dimensional basic image model of a photovoltaic power station according to an embodiment of this application; Figure 3 This is a schematic diagram of a photovoltaic module support structure in a three-dimensional basic image model provided according to an embodiment of this application; Figure 4 This is a schematic diagram illustrating the extraction of a photovoltaic module support array from a base image model according to an embodiment of this application; Figure 5 This is a schematic diagram of a computational image model for extracting the photovoltaic module support structure according to an embodiment of this application; Figure 6 This is a schematic diagram of the three-dimensional spatial coordinates of a photovoltaic module support array in an image model provided according to an embodiment of this application. Figure 7 This is a schematic diagram of a surveying device for determining the orientation of all photovoltaic power plant modules according to an embodiment of this application. Figure 8 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application.

[0032] Figure label: 10 - Surveying device for the orientation of all photovoltaic power plant components; 100 - Construction module, 200 - Extraction module, 300 - Surveying module; 801 - Memory, 802 - Processor, 803 - Communication interface. Detailed Implementation

[0033] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0034] The following description, with reference to the accompanying drawings, describes a method, apparatus, and electronic equipment for surveying the orientation of all photovoltaic (PV) power plant modules across an embodiment of this application. Addressing the issues raised in the background section regarding the large number of PV modules and their complex and variable orientation distribution, the inefficiency and lack of accuracy of manual on-site measurements hinder the accurate and rapid determination of the actual orientation distribution of all modules, thus impeding precise operation and management of PV power plants. This application provides a method for surveying the orientation of all PV power plant modules. This method generates installation consistency reports and construction quality reports based on the orientation information, directly reflecting the compliance and uniformity of PV module installation, providing a basis for power plant acceptance and quality control. Furthermore, by identifying the deployment status of all modules and acquiring information on PV support deformation, module surface damage, and terrain changes, it enables early detection and precise location of potential faults, effectively reducing power plant operational risks and improving the operation and maintenance efficiency and safety of PV power plants. This solves the problems in related technologies, such as the large number of photovoltaic modules and their complex and variable orientation distribution on site, coupled with the low efficiency and insufficient accuracy of manual on-site measurement methods, which makes it impossible to quickly and accurately grasp the actual orientation distribution of all modules in the entire station, thus hindering the precise operation and management of photovoltaic power plants.

[0035] Specifically, Figure 1 This is a flowchart illustrating a survey method for determining the orientation of all photovoltaic power plant modules, as provided in an embodiment of this application.

[0036] like Figure 1 As shown, the survey method for determining the orientation of all photovoltaic power plant modules includes the following steps: In step S101, a basic image model of the photovoltaic power station containing its three-dimensional spatial location is constructed.

[0037] It is understood that the basic image model in the embodiments of this application can be understood as a digital model of the three-dimensional spatial location information of the photovoltaic power station obtained by means of technologies such as drone aerial photography, satellite remote sensing or laser scanning. The basic image model can accurately reflect the actual position coordinates and spatial relationships of various components, supports, buildings and other facilities in the photovoltaic power station in three-dimensional space.

[0038] For example, in this application embodiment, a drone equipped with a professional camera can be used to perform a full-field scan of a photovoltaic power station based on laser point cloud technology, which can generate a basic image model containing three-dimensional spatial information of the entire field at once.

[0039] Specifically, in this embodiment, a drone equipped with a laser point cloud camera can be used to scan the photovoltaic modules within the entire photovoltaic power station area, capturing three-dimensional point cloud data of the photovoltaic power station to generate a basic image model containing three-dimensional spatial location. The basic image model also includes azimuth information (east, south, west, and north) based on satellite positioning output. The horizontal positioning accuracy of the basic image model is better than 1 cm, and the vertical positioning accuracy is better than 1.5 cm. The generated basic image model of the power station containing the photovoltaic modules is shown below. Figure 2 As shown.

[0040] The embodiments of this application can construct a basic image model containing three-dimensional spatial location information, and completely reconstruct the entire photovoltaic power station in digital form. This provides a unified spatial reference benchmark and measurement platform for automatically extracting the orientation information of each photovoltaic module throughout the entire site, thereby improving the basic accuracy of the survey work.

[0041] In step S102, the recognition rules for photovoltaic modules in the basic image model are constructed, and the model recognition rules are established based on the image characteristics of the photovoltaic module's frame and panel to extract and calculate the image model.

[0042] It is understood that the photovoltaic module identification rules in this application embodiment refer to the judgment criteria used to accurately distinguish photovoltaic modules from other objects from the basic image model, and a photovoltaic module support row can be defined as a minimum identification unit; the model identification rules refer to the differential features (such as color, texture, shape, etc.) of the photovoltaic module's frame and panel in the image, and the judgment criteria for determining whether an image area belongs to a photovoltaic module based on the differential features. The computational image model refers to the sub-model that is accurately identified and segmented from the basic image model and contains only the photovoltaic module support row. By extracting this sub-model, the calculation scope of subsequent spatial analysis is narrowed from the entire scene to the photovoltaic module itself, eliminating the interference of irrelevant elements such as the ground, roads, and vegetation.

[0043] In actual execution, the basic image model does not yet have the function of automatically identifying photovoltaic modules. In order to effectively extract the outer boundaries of all photovoltaic modules from the basic model and apply them to subsequent orientation calculations, the embodiments of this application can process the basic model.

[0044] Specifically, embodiments of this application can construct recognition rules for photovoltaic modules in a basic image model, defining a photovoltaic module support row as a minimum recognition unit. A photovoltaic module support row contains a fixed number of photovoltaic modules, all installed in a plane and having the same orientation, such as... Figure 3As shown. Furthermore, embodiments of this application can define the image characteristics of the photovoltaic module frame and panel, establish model recognition rules, and separate all photovoltaic module support rows (recognition units) in the basic image model from the environmental background to extract the computational image model. Each recognition unit row contained therein can be numbered, such as... Figure 4 and Figure 5 As shown.

[0045] For example, embodiments of this application can construct model recognition rules based on the structural characteristics of photovoltaic modules. First, the image features of the photovoltaic module are analyzed. The photovoltaic module panel typically has a dark, uniform texture (e.g., dark blue, black), with weak and evenly distributed reflectivity. The frame is mostly made of light-colored metallic material (e.g., silver, gray), with strong reflectivity, and the frame has a regular rectangular structure, creating a clear color and reflectivity difference from the panel. Embodiments of this application can establish model recognition rules based on the structural characteristics of the photovoltaic module. Based on the photovoltaic module recognition rules, model recognition rules, and image recognition technology, the basic image model is scanned traversally to filter out areas that meet the recognition rules, remove irrelevant objects, and extract a computational image model containing only the photovoltaic module. Simultaneously, edge calibration is performed on the extracted module area to ensure the integrity and accuracy of the module outline.

[0046] This application embodiment can extract the photovoltaic module support row from the three-dimensional basic image model based on image recognition technology, and automatically convert it into a computational image model that can be used for orientation data analysis. This avoids the subjectivity and inefficiency of manual annotation, greatly improves the efficiency and accuracy of module identification, and provides a foundation for the accurate calculation of the orientation of all modules in the field.

[0047] In step S103, the three-dimensional spatial coordinates of the photovoltaic module support row in the computational image model are determined to identify the azimuth and tilt angles and generate the deployment orientation information of all modules in the photovoltaic power station.

[0048] It is understood that the three-dimensional spatial coordinate diagram of the photovoltaic module support row in this application embodiment refers to the set of three-dimensional spatial coordinates of the key feature points (such as the two ends of the support row and the vertices of the modules) of the support row composed of multiple photovoltaic modules in the computational image model. The photovoltaic module support row contains a fixed number of photovoltaic modules, all of which are installed in a plane and have the same orientation. The azimuth angle refers to the angle between the vertical normal direction of the plane where the photovoltaic module support row (identification unit) is located and the projection of its projection onto the horizontal plane and the due south coordinate axis; the tilt angle refers to the angle between the plane where the photovoltaic module support row (identification unit) is located and the horizontal plane.

[0049] In actual implementation, the embodiments of this application can define and automatically identify the azimuth and tilt angles of the unit orientation based on the boundary coordinates of the photovoltaic module support row (identification unit) in the calculation image model, so as to realize the standardized output of the calculation results of the orientation of the entire photovoltaic power station module deployment and generate a statistical information report containing the layout and wiring relationship.

[0050] For example, embodiments of this application can determine the three-dimensional spatial coordinates of a photovoltaic module support array in a computational image model. First, the photovoltaic module support array (identification unit) in the computational image model is simplified into a rectangle in three-dimensional space. Second, the four vertices P1, P2, P3, and P4 of the rectangle are defined, and their spatial coordinates are extracted as P1 (X1, Y1, Z1), P2 (X2, Y2, Z2), P3 (X3, Y3, Z3), and P4 (X4, Y4, Z4). In this model coordinate system, the positive X-axis direction is east, the positive Y-axis direction is north, and the positive Z-axis direction is up. Furthermore, P1-P4 and P2-P3 are defined as the shorter sides of the rectangle, such as... Figure 6 As shown.

[0051] Furthermore, this embodiment of the application can identify the azimuth and tilt angles of the photovoltaic module support rows based on the three-dimensional spatial coordinate diagram of the photovoltaic module support rows in the computational image model. Based on the azimuth and tilt angles of the photovoltaic module support rows, the orientation of the identification unit is defined, generating the deployment orientation information of all modules in the photovoltaic power station. Specifically, this embodiment of the application can refer to the wiring diagram of the photovoltaic power station layout and mark the wiring hierarchy of the photovoltaic module support rows corresponding to the identification unit in the three-dimensional computational image model (each photovoltaic module support row corresponds to one inverter DC branch), including the DC branch number, the inverter number, the box transformer number, etc. This embodiment of the application can generate a statistical information report of the deployment orientation of all modules in the photovoltaic power station, and the information format contained in the report is shown in Table 1. Table 1 is a statistical information report of the deployment orientation of all modules in the photovoltaic power station.

[0052] Table 1

[0053] This application embodiment can accurately generate the orientation information of the entire photovoltaic module deployment by determining the three-dimensional spatial coordinates of the photovoltaic module support row and identifying the azimuth and tilt angles. This effectively fills the technical gap in the survey of the actual deployment orientation of photovoltaic modules. The generated orientation information can comprehensively reflect the actual deployment status of the modules, providing accurate data support for power plant power generation efficiency analysis, precise operation management, and photovoltaic power prediction.

[0054] Optionally, in one embodiment of this application, identifying the azimuth and tilt angle includes: determining the vertical normal direction of the plane on which the target photovoltaic module is located; calculating the angle between the projection on the horizontal plane and the south-direction coordinate axis based on the vertical normal direction of the plane on which the module is located, and determining the azimuth.

[0055] It is understood that in this embodiment, the azimuth angle α is the angle between the projection of the vertical normal direction of the plane where the identification unit is located and the south-direction coordinate axis on the horizontal plane. The value of α is between 0° and 360°, and the south direction is defined as α = 0°. α increases clockwise, such as α = 90° for the west direction, α = 180° for the north direction, and α = 270° for the east direction. It should be noted that the azimuth angle α is numerically equal to the angle between the projection of the shorter side P1-P4 or P2-P3 on the horizontal plane and the north-direction coordinate axis, such as... Figure 6 As shown.

[0056] In actual implementation, the embodiments of this application can extract the coordinates of the four vertices of the target photovoltaic module from the computational image model, determine the equation of the plane on which the target photovoltaic module is located based on the four coordinates through a plane fitting algorithm, and then calculate the vertical normal direction vector of the plane, project the normal direction vector onto the horizontal plane, and calculate the angle between the horizontal projection vector and the south direction coordinate axis.

[0057] For example, in this embodiment of the application, the azimuth angle α can be calculated using the shorter sides P1-P4 and P2-P3 of the rectangle, respectively. Taking P1-P4 as an example, there are four possible scenarios: X1≥X4 and Y1≥Y4 indicates that α is in the southwest-southwest orientation interval. The current azimuth angle α is calculated as follows: ; X1 > X4 and Y1 < Y4, indicating that α is in the west-north direction interval, the current azimuth angle α is calculated as: ; X1≤X4 and Y1≤Y4 indicates that α is in the east-north direction interval. The current azimuth angle α is calculated as follows: ; X1 < X4 and Y1 > Y4, indicating that α is in the east-south direction interval, the current azimuth angle α is calculated as: .

[0058] The azimuth angle calculated from the shorter sides P1-P4 is denoted as α. 1—4 The azimuth angle calculated from the shorter sides P2-P3 using the same method is denoted as α. 2—3 The final azimuth calculation result is the average value. The formula for calculating the average azimuth value is: .

[0059] Among them, the calculation resolution of azimuth angle α is better than 0.1°, and the calculation accuracy is better than ±2°.

[0060] This application embodiment can determine the azimuth angle by determining the vertical normal direction of the plane where the target photovoltaic module is located, and calculating the angle between the projection of the vertical normal direction on the horizontal plane and the south-direction coordinate axis. This can accurately reflect the actual orientation of the photovoltaic module, avoid measurement errors caused by terrain undulations and installation deviations, ensure the consistency and reliability of the azimuth angle data of the entire field of modules, and lay the foundation for the accurate generation of orientation information for the subsequent deployment of the entire field of modules.

[0061] Optionally, in one embodiment of this application, identifying the azimuth angle and tilt angle includes: determining the angle between the plane where the target photovoltaic module is located and the horizontal plane; and determining the tilt angle based on the angle between the plane where it is located and the horizontal plane.

[0062] It is understood that in the embodiments of this application, the tilt angle β is the angle between the plane where the recognition unit is located and the horizontal plane. The value of β is between 0° and 90°, where 0° indicates that the recognition unit is completely horizontal and 90° indicates that the recognition unit is completely vertical. Figure 6 As shown.

[0063] In practical implementation, this embodiment of the application can identify the tilt angle based on the three-dimensional spatial coordinates of the photovoltaic module support array in the computational image model. Specifically, this embodiment of the application can use the shorter sides P1-P4 and P2-P3 of the rectangle to calculate the tilt angle β respectively. Taking P1-P4 as an example, the tilt angle calculation formula is: .

[0064] The tilt angle calculated from the shorter sides P1-P4 is denoted as β. 1—4 The tilt angle, which can be calculated from the shorter sides P2-P3 using the same method, is denoted as β. 2—3 The final tilt angle calculation result is the average value. The formula for calculating the average tilt angle is: .

[0065] Among them, the calculation resolution of the tilt angle β is better than 0.1°, and the calculation accuracy is better than ±2°.

[0066] The embodiments of this application can determine the tilt angle by determining the angle between the plane where the target photovoltaic module is located and the horizontal plane, which directly reflects the relative positional relationship between the photovoltaic module panel and the horizontal plane. This can effectively reduce the difficulty and error of tilt angle identification, further improve the overall accuracy of module orientation information identification, and effectively support the accurate analysis and optimization of photovoltaic power plant power generation efficiency.

[0067] Optionally, in one embodiment of this application, it further includes: generating an installation consistency report and / or construction quality report for the photovoltaic power station based on the deployment orientation information; and / or, identifying the deployment status of all modules based on the deployment orientation information, and obtaining at least one of the photovoltaic support deformation information, module appearance damage information, and terrain change information of all modules to generate a fault warning.

[0068] It is understood that, in this application embodiment, the installation consistency report can be interpreted as a report analyzing the differences between the actual deployment orientation and the design orientation, used to evaluate the degree of consistency between the installation and the design. The construction quality report can be understood as a report assessing the construction quality of the power plant based on the accuracy of component orientation installation. The fault warning refers to early warning information generated based on the detection of abnormal deployment status, used to alert to potential safety hazards or performance problems.

[0069] In actual implementation, this application embodiment can utilize statistical information report data on deployment orientation to check the installation consistency of all modules in a newly built photovoltaic power station and to check the construction quality of the photovoltaic power station against the construction plan. It can also check the deployment status of all modules in an operating photovoltaic power station to identify faults and potential hazards such as photovoltaic support deformation, module damage, and terrain changes.

[0070] For example, embodiments of this application can compare the actual azimuth and tilt angle of each component with the design values ​​based on the generated orientation information of all components deployed in the field. This allows for the statistical analysis of the number of components with orientation deviations within the allowable deviation range (e.g., ±3°, which can be set by those skilled in the art based on actual conditions, without specific limitations), the locations of components with deviations exceeding the range, and the deviation values, thereby generating an installation consistency report. Embodiments of this application can also combine information such as orientation deviation and component installation regularity to assess the installation quality during power plant construction and generate a construction quality report.

[0071] Furthermore, for power plants already in operation, this application embodiment can compare the actual orientation of the same component with historical orientation data based on the component deployment orientation information. If abnormal changes occur in the azimuth or tilt angle (such as a sudden increase in tilt angle of more than 5°), it is determined to be a bracket deformation. Image recognition technology is used to detect whether there is damage or stains on the component panel to obtain component appearance damage information. The basic image model is compared with historical terrain data to identify changes such as terrain subsidence and protrusions to obtain terrain change information. When any one of the abnormal information, such as photovoltaic bracket deformation information, component appearance damage information, and terrain change information, is obtained, a fault warning is generated, clearly indicating the abnormal location, abnormal type, and severity, and pushed to the staff terminal.

[0072] The embodiments of this application can generate installation consistency reports and construction quality reports based on deployment orientation information, which can intuitively reflect the compliance and uniformity of photovoltaic module installation, providing a basis for power plant acceptance and quality control. At the same time, by identifying the deployment status of all modules and obtaining photovoltaic bracket deformation information, module appearance damage information and terrain change information, early detection and accurate location of potential faults are achieved, effectively reducing the operation risk of the power plant and improving the operation and maintenance efficiency and safety of the photovoltaic power plant.

[0073] Optionally, in one embodiment of this application, the method further includes: assessing the solar irradiance resources that the photovoltaic power station can receive based on the deployment orientation information; and calculating the theoretical power generation capacity and actual operating system efficiency of the photovoltaic power station based on the solar irradiance resources to predict the power station's photovoltaic power.

[0074] It is understood that the solar irradiance resource assessment in this application embodiment can be understood as calculating the total amount of solar irradiance that the power station can receive based on the actual component orientation and geographical and meteorological conditions.

[0075] In actual implementation, the embodiments of this application can accurately assess the solar radiation resources that a photovoltaic power station can receive through the orientation information of photovoltaic modules, scientifically evaluate the theoretical power generation capacity and actual operating system efficiency of the power station, and serve as a necessary input parameter for realizing the photovoltaic power prediction function of the power station.

[0076] For example, embodiments of this application can collect historical solar irradiance data of the power plant location, combine it with the deployment orientation information of all modules, calculate the solar irradiance that each module can receive, and summarize the data to obtain the total amount and distribution of solar irradiance resources that the entire photovoltaic power plant can receive. Combined with parameters such as the rated power and conversion efficiency of the photovoltaic modules, the theoretical power generation capacity of the power plant can be calculated. Simultaneously, embodiments of this application can collect actual power generation data of the power plant, combine it with the theoretical power generation capacity, calculate the actual operating system efficiency, and output the predicted value of the power plant's photovoltaic power.

[0077] The embodiments of this application can accurately assess the solar radiation resources that a photovoltaic power station can receive by using photovoltaic module orientation information, and scientifically evaluate the theoretical power generation capacity and actual operating system efficiency of the power station to predict the light power. Thus, based on the actual on-site deployment orientation, the predicted power is closer to the actual operating state of the power station, significantly improving the prediction accuracy and providing a scientific basis for power station operation decisions.

[0078] The survey method for determining the orientation of all photovoltaic (PV) power plant modules proposed in this application can generate installation consistency reports and construction quality reports based on the orientation information. These reports directly reflect the compliance and uniformity of PV module installation, providing a basis for power plant acceptance and quality control. Furthermore, by identifying the deployment status of all modules and obtaining information on PV support deformation, module surface damage, and terrain changes, early detection and precise location of potential faults are achieved, effectively reducing power plant operational risks and improving the efficiency and safety of PV power plant operation and maintenance. This solves the problem in related technologies where the large number of PV modules and their complex and variable orientation distribution, coupled with the inefficiency and insufficient accuracy of manual on-site measurement methods, makes it impossible to quickly and accurately grasp the actual orientation distribution of all modules, hindering the precise operation and management of PV power plants.

[0079] Next, referring to the accompanying drawings, a surveying device for the orientation of all photovoltaic power plant modules according to an embodiment of this application is described.

[0080] Figure 7 This is a schematic diagram of the structure of a surveying device for the orientation of all photovoltaic power plant modules in an embodiment of this application.

[0081] like Figure 7 As shown, the surveying device 10 for the orientation of all photovoltaic power plant components includes: a construction module 100, an extraction module 200, and a surveying module 300.

[0082] Among them, the construction module 100 is used to construct a basic image model of a photovoltaic power station that includes its three-dimensional spatial location.

[0083] The extraction module 200 is used to construct the recognition rules of photovoltaic modules in the basic image model, and to establish model recognition rules based on the image characteristics of the photovoltaic module's border and panel to extract and calculate the image model.

[0084] The survey module 300 is used to determine the three-dimensional spatial coordinates of the photovoltaic module support row in the computational image model, so as to identify the azimuth and tilt angles and generate the deployment orientation information of all modules in the photovoltaic power station.

[0085] Optionally, in one embodiment of this application, it further includes: a first generation module and a second generation module.

[0086] The first generation module is used to generate an installation consistency report and / or construction quality report for the photovoltaic power station based on the deployment orientation information.

[0087] The second generation module is used to identify the deployment status of all components based on the deployment orientation information, and to obtain at least one of the following: photovoltaic bracket deformation information, component appearance damage information, and terrain change information, in order to generate a fault warning.

[0088] Optionally, in one embodiment of this application, it further includes an evaluation module and a prediction module.

[0089] The evaluation module is used to assess the solar radiation resources that a photovoltaic power station can receive based on the deployment orientation information.

[0090] The prediction module is used to calculate the theoretical power generation capacity and actual operating system efficiency of a photovoltaic power station based on solar irradiance resources, in order to predict the power station's solar power output.

[0091] Optionally, in one embodiment of this application, the exploration module 300 includes: a first determining unit and a second determining unit.

[0092] The first determining unit is used to determine the direction of the vertical normal to the plane on which the target photovoltaic module is located.

[0093] The second determining unit is used to calculate the angle between the projection on the horizontal plane and the south-direction coordinate axis based on the vertical normal direction of the plane it is located in, and to determine the azimuth angle.

[0094] Optionally, in one embodiment of this application, the exploration module 300 includes a third determining unit and a fourth determining unit.

[0095] The third determining unit is used to determine the angle between the plane where the target photovoltaic module is located and the horizontal plane.

[0096] The fourth determining unit is used to determine the tilt angle based on the angle between the plane in which it is located and the horizontal plane.

[0097] It should be noted that the explanation of the above-mentioned method for surveying the orientation of all photovoltaic power plant modules also applies to the surveying device for the orientation of all photovoltaic power plant modules in this embodiment, and will not be repeated here.

[0098] The photovoltaic power plant module deployment orientation survey device proposed in this application can generate installation consistency reports and construction quality reports based on deployment orientation information. These reports directly reflect the compliance and uniformity of photovoltaic module installation, providing a basis for power plant acceptance and quality control. Simultaneously, by identifying the deployment status of all modules and obtaining information on photovoltaic support deformation, module appearance damage, and terrain changes, it enables early detection and precise location of potential faults, effectively reducing power plant operational risks and improving the operation and maintenance efficiency and safety of the photovoltaic power plant. Therefore, it solves the problem in related technologies where the large number of photovoltaic modules and their complex and variable on-site orientation distribution, coupled with the inefficiency and insufficient accuracy of manual on-site measurement methods, makes it impossible to quickly and accurately grasp the actual orientation distribution of all modules, hindering the precise operation and management of photovoltaic power plants.

[0099] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 801, the processor 802, and the computer program stored on the memory 801 and capable of running on the processor 802.

[0100] When the processor 802 executes the program, it implements the survey method for the orientation of all photovoltaic power plant components provided in the above embodiments.

[0101] Furthermore, electronic devices also include: Communication interface 803 is used for communication between memory 801 and processor 802.

[0102] The memory 801 is used to store computer programs that can run on the processor 802.

[0103] The memory 801 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0104] If the memory 801, processor 802, and communication interface 803 are implemented independently, then the communication interface 803, memory 801, and processor 802 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized into address buses, data buses, control buses, etc. For ease of representation, Figure 8 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0105] Optionally, in a specific implementation, if the memory 801, processor 802, and communication interface 803 are integrated on a single chip, then the memory 801, processor 802, and communication interface 803 can communicate with each other through an internal interface.

[0106] The processor 802 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0107] This application also provides a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described survey method for determining the orientation of all photovoltaic power plant modules.

[0108] This application also provides a computer program product storing a computer program that, when executed by a processor, implements the above-described survey method for determining the orientation of all photovoltaic power plant components.

[0109] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0110] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0111] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0112] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0113] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or more of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0114] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0115] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0116] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for surveying the orientation of all photovoltaic power plant modules, characterized in that, Includes the following steps: Construct a basic image model of a photovoltaic power station that includes its three-dimensional spatial location; The recognition rules for photovoltaic modules in the basic image model are constructed, and the model recognition rules are established based on the image characteristics of the photovoltaic module's border and panel to extract and calculate the image model. The three-dimensional spatial coordinates of the photovoltaic module support row in the computational image model are determined to identify the azimuth and tilt angles, and to generate the deployment orientation information of all modules in the photovoltaic power station.

2. The method according to claim 1, characterized in that, Also includes: Based on the deployment orientation information, an installation consistency report and / or construction quality report for the photovoltaic power station are generated; And / or, based on the deployment orientation information, identify the deployment status of the entire field of components, and obtain at least one of the photovoltaic bracket deformation information, component appearance damage information, and terrain change information of the entire field of components to generate a fault warning.

3. The method according to claim 1, characterized in that, Also includes: Assess the solar radiation resources that the photovoltaic power station can receive based on the deployment orientation information; The theoretical power generation capacity and actual operating system efficiency of the photovoltaic power station are calculated based on the solar irradiance resources to predict the power station's solar power output.

4. The method according to claim 1, characterized in that, The identification of azimuth and tilt angles includes: Determine the direction of the perpendicular normal to the plane on which the target photovoltaic module is located; The azimuth angle is determined by calculating the angle between the projection of the plane onto the horizontal plane and the south-facing coordinate axis based on the vertical normal direction of the plane.

5. The method according to claim 4, characterized in that, The identification of azimuth and tilt angles includes: Determine the angle between the plane where the target photovoltaic module is located and the horizontal plane; The tilt angle is determined based on the angle between the plane in which it is located and the horizontal plane.

6. A surveying device for determining the orientation of all photovoltaic power plant modules, characterized in that, include: The building module is used to construct a basic image model of a photovoltaic power station that includes its three-dimensional spatial location. The extraction module is used to construct the recognition rules of the photovoltaic module in the basic image model, and to establish model recognition rules based on the image characteristics of the photovoltaic module's border and panel to extract and calculate the image model. The survey module is used to determine the three-dimensional spatial coordinates of the photovoltaic module support row in the computational image model, so as to identify the azimuth and tilt angles and generate the deployment orientation information of all modules in the photovoltaic power station.

7. The apparatus according to claim 6, characterized in that, Also includes: The first generation module is used to generate an installation consistency report and / or construction quality report for the photovoltaic power station based on the deployment orientation information. The second generation module is used to identify the deployment status of the entire field of components based on the deployment orientation information, and to obtain at least one of the photovoltaic support deformation information, component appearance damage information, and terrain change information of the entire field of components, so as to generate a fault warning.

8. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to implement the survey method for the orientation of all photovoltaic power plant modules as described in any one of claims 1-5.

9. A non-volatile computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the survey method for determining the orientation of all photovoltaic power plant modules as described in any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, The computer program is executed to implement the survey method for determining the orientation of all photovoltaic power plant modules as described in any one of claims 1-5.

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