An RTK positioning system, a photovoltaic power station construction optimization method and system

Abstract

The application relates to the technical field of photovoltaic power station construction, and discloses an RTK positioning system, a photovoltaic power station construction optimization method and system. The RTK positioning system comprises the following: a positioning device, which is used for sending target photovoltaic power station terrain information, solar position information, target photovoltaic component physical characteristic information and photovoltaic array layout information to a computing device; the computing device, which is used for calculating a target photovoltaic component azimuth angle, a target photovoltaic component inclination angle and a pile foundation position coordinate based on the target photovoltaic power station terrain information, the solar position information, the target photovoltaic component physical characteristic information and the photovoltaic array layout information, and constructing a photovoltaic power station optimal construction strategy based on the target photovoltaic component azimuth angle, the target photovoltaic component inclination angle and the pile foundation position coordinate; and a mobile station, which is used for performing construction assistance by using the photovoltaic power station optimal construction strategy. The application improves the construction quality and power generation efficiency of the photovoltaic power station, and ensures the stable operation of the power station.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic power plant construction technology, specifically to an RTK positioning system, a photovoltaic power plant construction optimization method and system. Background Technology

[0002] With the increasing demand for clean energy, photovoltaic power plants, as an important renewable energy power generation method, are expanding in scale. However, the construction of photovoltaic power plants still faces many challenges.

[0003] During the construction of photovoltaic power plants, the installation of photovoltaic modules did not fully consider the terrain slope, the dynamic changes in the sun's position, and the rationality of the photovoltaic array layout, resulting in a reduction in the power generation efficiency of the photovoltaic power plants. Summary of the Invention

[0004] In view of this, the present invention provides a method and apparatus for optimizing the construction of photovoltaic power plants, in order to solve the problem that the power generation efficiency of photovoltaic power plants is reduced due to insufficient consideration of terrain slope, dynamic changes in the sun's position, and the rationality of photovoltaic array layout when photovoltaic modules are installed.

[0005] In a first aspect, the present invention provides an RTK positioning system, the system comprising: a positioning device, a computing device, a base station, and a rover station; wherein the base station is connected to the computing device and the rover station respectively, and the positioning device is connected to the computing device.

[0006] The positioning device is used to acquire the terrain information, solar position information, physical characteristic information of the target photovoltaic power station, and photovoltaic array layout information, and to send the terrain information, solar position information, physical characteristic information of the target photovoltaic modules, and photovoltaic array layout information of the target photovoltaic power station to the computing device;

[0007] The computing device is used to calculate the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the position coordinates of the pile foundation based on the terrain information, solar position information, physical characteristic information of the target photovoltaic module, and photovoltaic array layout information of the target photovoltaic power station. Based on the azimuth angle, tilt angle, and position coordinates of the pile foundation, the device constructs the optimal construction strategy for the photovoltaic power station and transmits the optimal construction strategy for the photovoltaic power station to the mobile station through the base station.

[0008] The mobile station is used to receive the optimal construction strategy for photovoltaic power plants sent by the base station and to assist in construction using the optimal construction strategy for photovoltaic power plants.

[0009] Secondly, this invention provides a photovoltaic power plant construction optimization method, applied to a computing device in an RTK positioning system, the method comprising:

[0010] Acquire topographic information, solar position information, physical characteristics information of target photovoltaic modules, and photovoltaic array layout information of the target photovoltaic power station;

[0011] Based on the topographic information of the target photovoltaic power station, the solar position information, the physical characteristics information of the target photovoltaic modules, and the photovoltaic array layout information, the azimuth angle of the target photovoltaic modules, the tilt angle of the target photovoltaic modules, and the coordinates of the pile foundation are calculated respectively.

[0012] The optimal construction strategy for a photovoltaic power station is constructed based on the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the location coordinates of the pile foundation.

[0013] The photovoltaic power station construction optimization method provided in this embodiment obtains the target photovoltaic power station's terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information. Based on the target photovoltaic power station's terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information, it calculates the target photovoltaic module's azimuth angle, target photovoltaic module tilt angle, and pile foundation location coordinates, respectively. Based on the target photovoltaic module's azimuth angle, target photovoltaic module tilt angle, and pile foundation location coordinates, it constructs the optimal construction strategy for the photovoltaic power station, improving the construction quality and power generation efficiency of the photovoltaic power station, ensuring the stable operation of the power station, and providing strong technical support for the efficient construction of photovoltaic power stations.

[0014] In one optional implementation, the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the coordinates of the pile foundation are calculated based on the topographic information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic module, and the photovoltaic array layout information, including:

[0015] Obtain the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane. Based on the terrain information and solar position information of the target photovoltaic power station, correct the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane to obtain the azimuth angle of the target photovoltaic module.

[0016] The positional information between the target photovoltaic modules is obtained, and the positional information between the target photovoltaic modules is corrected based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristics information of the target photovoltaic modules to obtain the tilt angle of the target photovoltaic modules;

[0017] The coordinates of the array starting point are obtained. Based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristics information of the target photovoltaic modules, and the layout information of the photovoltaic array, the coordinates of the array starting point are corrected to obtain the coordinates of the pile foundation position.

[0018] The photovoltaic power station construction optimization method provided in this embodiment obtains the positional information between target photovoltaic modules, and corrects the positional information between target photovoltaic modules based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristics information of the target photovoltaic modules. It comprehensively considers the influence of slope and solar-related angles on the azimuth angle of the target photovoltaic modules, making the calculation of the azimuth angle of the target photovoltaic modules more in line with the actual illumination requirements, so that the target photovoltaic modules can receive sunlight at a better angle. By obtaining the positional information between target photovoltaic modules and correcting the positional information between target photovoltaic modules based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristics information of the target photovoltaic modules, and combining factors such as slope and solar altitude angle to calculate the tilt angle of the target photovoltaic modules, the target photovoltaic modules can receive sunlight better, thereby improving power generation efficiency.

[0019] In one optional implementation, the target photovoltaic power station terrain information includes the target photovoltaic power station terrain slope angle and the projection of the slope direction vector onto the horizontal plane; the solar position information includes the solar altitude angle and the solar azimuth angle; based on the target photovoltaic power station terrain information and the solar position information, the projection coordinates of the target direction vector facing the target photovoltaic module onto the horizontal plane are corrected to obtain the azimuth angle of the target photovoltaic module, including:

[0020] Obtain the geographical environment adjustment coefficient and the component characteristic adjustment coefficient, and calculate the projection coordinate correction based on the geographical environment adjustment coefficient, the component characteristic adjustment coefficient, the topographic slope angle of the target photovoltaic power station, the projection of the slope direction vector on the horizontal plane, the solar altitude angle, and the solar azimuth angle.

[0021] The corrected projection coordinates are calculated based on the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane and the projection coordinate correction amount.

[0022] The azimuth angle of the target photovoltaic module is calculated based on the corrected projected coordinates.

[0023] The photovoltaic power station construction optimization method provided in this embodiment calculates the projection coordinate correction based on the geographical environment adjustment coefficient, component characteristic adjustment coefficient, target photovoltaic power station terrain slope angle, projection of the slope direction vector on the horizontal plane, solar altitude angle, and solar azimuth angle. This accurately reflects the influence of terrain and solar position on the target photovoltaic components, improving the accuracy of photovoltaic power station design and energy efficiency assessment. By calculating the corrected projection coordinates based on the projection coordinates of the target direction vector facing the target photovoltaic components on the horizontal plane and the projection coordinate correction, and then calculating the azimuth angle of the target photovoltaic components based on the corrected projection coordinates, the azimuth angle value of the target photovoltaic components is accurately corrected, improving the scientificity and accuracy of the target photovoltaic component light-gathering efficiency assessment and the target photovoltaic power station layout design.

[0024] In one optional implementation, the physical characteristic information of the target photovoltaic modules includes the target photovoltaic module angle adjustment coefficient and the photovoltaic module size; based on the target photovoltaic power station terrain information, solar position information, and the physical characteristic information of the target photovoltaic modules, the positional information between the target photovoltaic modules is corrected to obtain the tilt angle of the target photovoltaic modules, including:

[0025] Based on the terrain slope angle of the target photovoltaic power station and the position information between the target photovoltaic modules, the height difference between the target photovoltaic modules perpendicular to the slope direction and the horizontal distance between the target photovoltaic modules parallel to the slope direction are calculated respectively.

[0026] The adjustment amounts of the target photovoltaic modules in the vertical and parallel directions caused by the solar elevation angle are calculated based on the solar elevation angle, the slope angle of the target photovoltaic power station terrain, and the adjustment coefficient of the included angle of the target photovoltaic modules, respectively.

[0027] The tilt angle of the target photovoltaic modules is calculated based on the height difference between the target photovoltaic modules perpendicular to the slope direction, the horizontal distance between the target photovoltaic modules parallel to the slope direction, and the adjustment amount of the target photovoltaic modules in the vertical and horizontal directions caused by the solar altitude angle.

[0028] The photovoltaic power station construction optimization method provided in this embodiment calculates the height difference between target photovoltaic modules perpendicular to the slope direction and the horizontal distance between target photovoltaic modules parallel to the slope direction based on the terrain slope angle of the target photovoltaic power station and the position information between target photovoltaic modules. This accurately quantifies the relative spatial relationship of target photovoltaic modules in a sloping environment, ensuring the rationality of the target photovoltaic power station design. By calculating the adjustment amount of target photovoltaic modules in the vertical and horizontal directions caused by the solar altitude angle based on the solar altitude angle, the terrain slope angle of the target photovoltaic power station, and the angle adjustment coefficient of the target photovoltaic modules, the method accurately quantifies the impact of the solar altitude angle on the spatial attitude of the target photovoltaic modules. This provides a precise basis for optimizing the tilt angle of the target photovoltaic modules and improving the light reception efficiency. Furthermore, by calculating the tilt angle of the target photovoltaic modules based on the height difference between target photovoltaic modules perpendicular to the slope direction, the horizontal distance between target photovoltaic modules parallel to the slope direction, and the adjustment amount of target photovoltaic modules in the vertical and horizontal directions caused by the solar altitude angle, the method accurately determines the tilt angle of the target photovoltaic modules that is suitable for the terrain and the sun's position, thereby improving the light utilization rate of the target photovoltaic modules.

[0029] In one optional implementation, the photovoltaic array layout information includes the row and column numbers of the target photovoltaic modules within the photovoltaic array; based on the target photovoltaic power station terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information, the array starting point coordinates are corrected to obtain the pile foundation position coordinates, including:

[0030] Obtain the component spacing adjustment coefficient, and calculate the first pile foundation position offset based on the target photovoltaic power station terrain slope angle, solar altitude angle, solar azimuth angle, photovoltaic module size, and the row and column numbers of the target photovoltaic modules in the photovoltaic array; wherein, the first pile foundation position offset is the pile foundation position offset caused by the target photovoltaic module spacing, solar azimuth angle, and solar altitude angle;

[0031] Obtain the terrain adjustment coefficient and the component layout adjustment coefficient, and calculate the offset of the second pile foundation position based on the terrain slope angle of the target photovoltaic power station, the terrain adjustment coefficient, and the component layout adjustment coefficient; wherein, the offset of the second pile foundation position is the offset of the pile foundation position caused by the terrain slope of the target photovoltaic power station.

[0032] The coordinates of the pile foundations are calculated based on the coordinates of the array starting point, the offset of the first pile foundation position, and the offset of the second pile foundation position.

[0033] The photovoltaic power station construction optimization method provided in this embodiment calculates the position offset of the first pile foundation based on the terrain slope angle, solar altitude angle, solar azimuth angle, photovoltaic module size, and row and column numbers of the target photovoltaic module in the photovoltaic array. This accurately quantifies the position offset of the target photovoltaic module under complex terrain, lighting conditions, and photovoltaic array layout information, providing data basis for correcting the pile foundation position coordinates. The position offset of the second pile foundation is calculated using the terrain slope angle, terrain adjustment coefficient, and module layout adjustment coefficient of the target photovoltaic power station. This accurately quantifies the impact of terrain slope and module layout on the position of the target photovoltaic module. Based on the array starting point coordinates, the position offset of the first pile foundation, and the position offset of the second pile foundation, the pile foundation position coordinates are accurately located, ensuring that the pile foundation position coordinates match the photovoltaic module layout, guaranteeing the stability of the target photovoltaic module installation, and improving the accuracy and construction efficiency of the target photovoltaic power station.

[0034] Thirdly, the present invention provides a photovoltaic power plant construction optimization system, the system comprising:

[0035] The acquisition module is used to acquire terrain information, solar position information, physical characteristic information of target photovoltaic modules, and photovoltaic array layout information of the target photovoltaic power station;

[0036] The calculation module is used to calculate the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the coordinates of the pile foundation based on the terrain information, solar position information, physical characteristic information of the target photovoltaic module, and photovoltaic array layout information of the target photovoltaic power station.

[0037] The module is used to construct the optimal construction strategy for a photovoltaic power station based on the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the location coordinates of the pile foundation.

[0038] Fourthly, the present invention provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the photovoltaic power plant construction optimization method of the second aspect above or any corresponding embodiment thereof.

[0039] Fifthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the photovoltaic power plant construction optimization method of the second aspect or any corresponding embodiment described above.

[0040] In a sixth aspect, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the photovoltaic power plant construction optimization method of the second aspect or any corresponding embodiment described above. Attached Figure Description

[0041] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of the structure of an RTK positioning system according to an embodiment of the present invention;

[0043] Figure 2 This is a flowchart illustrating a photovoltaic power plant construction optimization method according to an embodiment of the present invention;

[0044] Figure 3 This is a flowchart illustrating another photovoltaic power plant construction optimization method according to an embodiment of the present invention;

[0045] Figure 4 This is a structural block diagram of a photovoltaic power plant construction optimization system according to an embodiment of the present invention;

[0046] Figure 5 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] With the increasing demand for clean energy, photovoltaic power plants, as an important renewable energy power generation method, are being built on an ever-expanding scale. However, the construction methods for photovoltaic power plants still face many challenges.

[0049] The current methods for positioning photovoltaic (PV) module supports often rely on manual measurement and simple measuring tools (such as tape measures and theodolites). This is not only inefficient, but also makes it difficult to guarantee high precision in support positioning due to human error and limitations in the accuracy of the measuring tools. For example, in large-scale PV power plant projects, a large number of PV module supports need to be installed. Manually measuring the position of each support takes a long time, and due to differences in the operation of the measuring personnel, the positioning accuracy of supports at different positions varies. This may lead to uneven installation of PV modules and affect the overall power generation efficiency of the PV power plant.

[0050] For determining the location of photovoltaic modules, most methods rely on on-site comparison and adjustment based on construction drawings and experience. However, the complex environment of the construction site may include factors such as terrain undulations and obstacles, making it difficult for construction personnel to accurately match the design location on the drawings with the actual construction site. This can easily cause the installation location of the photovoltaic modules to deviate from the design requirements, failing to achieve the best lighting effect and thus reducing the power generation of the photovoltaic power station.

[0051] In determining the azimuth and tilt angle of the target photovoltaic module, simple angle measuring instruments are usually used, resulting in limited measurement accuracy. Furthermore, in actual operation, the accuracy of the measurement results is difficult to guarantee due to interference from external environmental factors (such as wind and terrain). The azimuth and tilt angles are crucial to the light-gathering efficiency of photovoltaic modules. Inaccurate angle settings will prevent the photovoltaic modules from fully receiving solar radiation, greatly reducing power generation efficiency.

[0052] During the construction of photovoltaic power plants, the calculation of the azimuth angle, tilt angle of photovoltaic modules and the coordinates of the pile foundation position often adopts a relatively simple method, without fully considering the terrain slope, the dynamic changes of the sun's position and the rationality of the photovoltaic array layout. This may result in the photovoltaic modules not being able to receive sunlight at the optimal angle, the pile foundation position not being able to stably support the modules, and even the problem of shading between modules, thereby reducing power generation efficiency and affecting the long-term stable operation of the power plant.

[0053] In summary, the existing photovoltaic power plant construction technologies suffer from drawbacks such as low accuracy, low efficiency, and significant susceptibility to environmental influences in photovoltaic module bracket positioning, photovoltaic module location determination, azimuth angle determination, and tilt angle determination. These shortcomings severely restrict the quality and efficiency of photovoltaic power plant construction, necessitating a new method to address these issues.

[0054] To address the aforementioned technical problems, this invention provides a photovoltaic power station construction optimization method. Utilizing the ability of an RTK positioning system to accurately acquire terrain and solar position information of the target photovoltaic power station, and combining this with the physical characteristics of the target photovoltaic modules and the layout information of the photovoltaic array, the method improves the calculation of the azimuth angle, tilt angle, and pile foundation coordinates of the relevant photovoltaic modules. By introducing various parameters closely related to actual conditions and constructing rigorous mathematical relationships, the calculation results of the azimuth angle, tilt angle, and pile foundation coordinates of the target photovoltaic modules more accurately reflect various complex situations in the actual construction of the photovoltaic power station. By comprehensively considering these factors, the method achieves accurate calculation of the azimuth angle, tilt angle, and pile foundation coordinates of the target photovoltaic modules. This solves the technical challenge of maximizing sunlight reception for photovoltaic modules under complex terrain and lighting conditions, ensuring stable pile foundation support for the modules, and avoiding shading between modules. This improves the construction quality and power generation efficiency of the photovoltaic power station, ensures stable operation, and provides strong technical support for the efficient construction of photovoltaic power stations.

[0055] This embodiment provides an RTK (Real-Time Kinematic) positioning system, such as... Figure 1 As shown, the system includes: a positioning device 101, a computing device 102, a base station 103, and a mobile station 104; wherein, the base station 103 is connected to the computing device 102 and the mobile station 104 respectively, and the positioning device 101 is connected to the computing device 102.

[0056] The positioning device 101 is used to acquire the terrain information, solar position information, physical characteristic information of the target photovoltaic power station, and photovoltaic array layout information of the target photovoltaic power station, and send the terrain information, solar position information, physical characteristic information of the target photovoltaic modules, and photovoltaic array layout information of the target photovoltaic power station to the computing device 102.

[0057] The computing device 102 is used to calculate the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the position coordinates of the pile foundation based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic module, and the layout information of the photovoltaic array, and to construct the optimal construction strategy of the photovoltaic power station based on the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the position coordinates of the pile foundation, and to send the optimal construction strategy of the photovoltaic power station to the mobile station 104 through the base station 103.

[0058] Specifically, the positioning device 101 obtains and sends the target photovoltaic power station's terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information to the computing device 102. The computing device 102 calculates the target photovoltaic module's azimuth angle, target photovoltaic module tilt angle, and pile foundation position coordinates. Based on the target photovoltaic module's azimuth angle, target photovoltaic module tilt angle, and pile foundation position coordinates, the optimal construction strategy for the photovoltaic power station is constructed and sent to the reference station 103.

[0059] The mobile station 104 is used to receive the optimal construction strategy for the photovoltaic power station sent by the base station 103, and to provide construction assistance based on the optimal construction strategy for the photovoltaic power station.

[0060] Specifically, in setting up the base station 103, a location with high terrain, open view, and good satellite signal reception is selected at the photovoltaic power station construction site. The base station 103 is equipped with a high-precision GNSS (Global Navigation Satellite System) receiver to receive satellite signals and connects to an external network through a wireless network module to transmit the calculated error correction data to the mobile station 104.

[0061] Furthermore, the base station 103 mainly consists of a GNSS receiver, an antenna, a power module, and a communication module. The GNSS receiver has high sensitivity and multi-band reception capabilities, enabling it to stably receive signals from different satellite systems. The antenna is a high-performance omnidirectional antenna, installed on the top of the base station to ensure unobstructed reception of satellite signals from all directions. The power module provides a stable power supply for the entire base station, and can be powered by mains electricity or equipped with a large-capacity rechargeable battery to cope with the power conditions of different construction sites. The communication module is selected to support high-speed wireless network communication such as 4G (4th Generation Mobile Communication Technology) / 5G (5th Generation Mobile Communication Technology), and is used to transmit the calculated error correction data to the mobile station 104. The base station 103 receives satellite signals through the GNSS receiver and uses the built-in algorithm to calculate satellite signal error correction data. The core function of the base station 103 is to provide accurate error correction information to the mobile station 104, ensuring that the mobile station 104 can achieve centimeter-level high-precision positioning.

[0062] Furthermore, the base station 103 adopts the principle of satellite positioning system, that is, the signals emitted by different satellites will be affected by factors such as the atmosphere and multipath effect during the propagation process, resulting in errors. The base station 103 calculates the error through its own accurate position information and analysis of satellite signals, and sends the correction data to the rover station, thereby improving the positioning accuracy of the rover station.

[0063] Furthermore, setting up base station 103 at a high point on the construction site can effectively reduce signal obstruction, improve the quality of satellite signal reception, and thus enhance the positioning accuracy of the entire RTK positioning system, ensuring accurate measurement of the location of construction equipment. In some complex terrains or construction sites with signal interference, multiple base stations can be added, and differential positioning technology can be used to further improve positioning accuracy. At the same time, the equipment of the base stations should be inspected and maintained regularly to ensure their normal operation and guarantee the accuracy of error correction data.

[0064] Furthermore, the mobile station 104 is integrated into the construction equipment and mainly includes a high-sensitivity GNSS receiver, a data processing unit, a communication interface, and a power supply. The GNSS receiver is responsible for receiving satellite signals and correction data sent by the base station 103. The data processing unit processes the received data in real time and calculates the precise location of the mobile station. The communication interface is used to transmit the positioning data to AR (Augmented Reality) intelligent construction auxiliary equipment, which can use wired or wireless communication methods such as Bluetooth, 4G / 5G, etc. The power supply provides power to the various components of the mobile station and can share a power system with the construction equipment or be equipped with an independent small battery.

[0065] Furthermore, after receiving the correction data from the base station, the mobile station 104 corrects its own received satellite signals in real time to achieve centimeter-level high-precision positioning. It then transmits the positioning data to other modules to support the precise positioning of construction equipment. By receiving error correction data from the base station, the mobile station 104 corrects its own received satellite signals, eliminating positioning deviations caused by satellite signal propagation errors, thereby achieving high-precision positioning. The high-sensitivity GNSS receiver ensures that the mobile station can still stably receive satellite signals in complex environments, such as construction sites where buildings or trees may obstruct the view, ensuring that positioning accuracy is not affected. To cope with signal interference in different construction environments, an anti-interference filter can be added to the GNSS receiver of the mobile station 104 to improve its signal reception capability in harsh electromagnetic environments. At the same time, the algorithm of the data processing unit is optimized to improve data processing speed and accuracy to adapt to rapidly changing construction scenarios.

[0066] Furthermore, taking the construction of a photovoltaic power station in a mountainous area as an example, setting the base station 103 on the mountaintop can effectively avoid signal obstruction and ensure stable signal transmission. As for the mobile station 104, construction personnel carry equipment with integrated RTK and GNSS receivers when installing brackets and components. It receives satellite signals and error correction data from the base station 103, and accurately determines its own position information in real time with centimeter-level accuracy. This allows construction personnel to quickly and accurately place the brackets in the designated positions based on the precise position information displayed by the mobile station, greatly improving installation accuracy and solving the problem of low measurement and positioning accuracy.

[0067] According to an embodiment of the present invention, a method for optimizing the construction of a photovoltaic power plant is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0068] This embodiment provides a method for optimizing the construction of a photovoltaic power plant, which can be used with the aforementioned computing device. Figure 2 This is a flowchart of the construction optimization of a photovoltaic power plant according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps:

[0069] Step S201: Obtain the target photovoltaic power station's terrain information, solar position information, target photovoltaic module physical characteristics information, and photovoltaic array layout information.

[0070] Specifically, the target photovoltaic power station topographic information includes the slope angle and the projection of the slope direction vector onto the horizontal plane; the solar position information includes the solar altitude angle and the solar azimuth angle; the target photovoltaic module physical characteristic information includes the angle adjustment coefficient and the size of the photovoltaic module; and the photovoltaic array layout information includes the row and column numbers of the target photovoltaic module in the photovoltaic array.

[0071] Step S202: Calculate the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the coordinates of the pile foundation based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic module, and the layout information of the photovoltaic array.

[0072] Step S203: Construct the optimal construction strategy for the photovoltaic power station based on the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the location coordinates of the pile foundation.

[0073] Specifically, the coordinates of the target photovoltaic module support include the horizontal and vertical coordinates of the target photovoltaic module support on the plane to determine the specific position of the target photovoltaic module support in the photovoltaic power station. It needs to achieve centimeter-level accuracy to ensure the accuracy of the installation of the target photovoltaic module support and avoid subsequent misalignment of the target photovoltaic modules due to positional deviation. The height of the target photovoltaic module support ensures that the target photovoltaic modules can have a suitable installation height under different terrain conditions, which is conducive to lighting and maintenance.

[0074] Furthermore, the planar position information of the target photovoltaic module includes planar position parameters and relative position parameters with respect to the surrounding environment. The planar position parameters are the specific planar positions of the target photovoltaic module on the support determined according to the construction drawings. Considering that there may be terrain undulations and obstacles at the construction site, it is necessary to accurately correspond the design position with the actual site to avoid the installation position deviating from the design requirements. The relative positional relationship between the target photovoltaic module and the surrounding buildings, terrain and other facilities is clarified to ensure that the target photovoltaic module's light is not obstructed and meets the requirements such as safety distance.

[0075] Furthermore, AR intelligent construction assistance equipment is used to achieve the optimal construction strategy for photovoltaic power plants. Before construction, a detailed 3D design model of the photovoltaic power plant is imported into the AR intelligent construction assistance equipment. The 3D design model includes information such as the precise location, size, and connection relationship of key equipment such as the target photovoltaic module support and the target photovoltaic module. At the same time, the AR intelligent construction assistance equipment is connected to the RTK high-precision positioning system through a data interface to achieve real-time data fusion between the AR intelligent construction assistance equipment and the RTK positioning system. This ensures that the virtual model position displayed by the AR intelligent construction assistance equipment accurately corresponds to the actual position on the construction site. When construction personnel wear the AR intelligent construction assistance equipment, the built-in camera can capture the construction site scene in real time. Based on computer vision technology, the virtual support and module installation positions are intuitively superimposed and displayed on the real-time screen. According to the preset construction guidance plan, detailed installation steps are provided in the form of voice or text prompts. For example, when installing the target photovoltaic module, the AR intelligent construction assistance equipment can clearly display information such as the module installation position, angle, and direction, avoiding installation errors caused by misunderstandings or operational mistakes by construction personnel. This effectively solves the problem that construction personnel have difficulty accurately matching the design drawings with the actual construction site, improving construction accuracy and efficiency.

[0076] Furthermore, AR intelligent construction assistance equipment is typically a head-mounted device or a handheld terminal, with a built-in high-performance processor, memory, camera, and display module. The processor is responsible for processing various data and running AR applications, the memory is used to store the 3D design model of the photovoltaic power station and related construction guidance information, the camera is used to capture images of the on-site environment, and the display module uses a high-resolution display screen to overlay virtual information with the real scene and display it to the construction personnel.

[0077] Furthermore, the 3D design model of the photovoltaic power station is imported into the equipment and fused with RTK positioning data, providing a foundation for subsequent virtual information overlay and construction guidance. Through specific software algorithms, the coordinate information in the 3D design model is matched and calibrated with the actual location information in the RTK positioning data, enabling the virtual model to accurately correspond to the actual location on the construction site. Precise model import and fusion ensures real-time matching between virtual information and the site environment. The virtual installation location seen by construction personnel is highly consistent with the actual construction site, improving the accuracy of construction guidance. Before importing the model, it is lightweighted to reduce the amount of data and improve the operating speed and response efficiency of the equipment. At the same time, the model data is updated regularly to ensure consistency with the latest design scheme.

[0078] Furthermore, based on the hardware architecture of the AR intelligent construction assistance equipment, its camera captures images of the on-site environment. Image recognition technology identifies scene feature points, and combined with the fused 3D design model and RTK positioning data, virtual support structures and component installation locations are overlaid onto the real-time image. This provides construction workers with intuitive virtual installation information integrated with the real-world scene, allowing them to clearly see the relationship between the installation location and the on-site environment. Image recognition technology identifies feature points in the on-site environment as a reference for virtual information overlay. By calculating the spatial relationship between the virtual model and the real-world scene, the virtual information is accurately overlaid onto the camera-captured image. Construction workers no longer need to rely on complex drawings or imagination to understand the installation location; they can directly and intuitively see the virtual and real aspects through the AR intelligent construction assistance equipment. This combination significantly reduces construction difficulty and improves construction precision. Utilizing advanced image recognition algorithms, it enhances recognition speed and accuracy, especially under complex lighting conditions or when there are many interfering objects at the construction site. Furthermore, the display method of virtual information, such as color and transparency, can be adjusted according to different construction scenarios and needs to enhance the display effect. The software system of the AR intelligent construction assistance equipment includes pre-set detailed construction guidance plans, including text descriptions, animation demonstrations, and voice prompts. Text descriptions provide detailed descriptions of each construction step, animation demonstrations dynamically showcase the construction process, and voice prompts promptly remind construction personnel of key steps or error-prone areas. Based on the pre-set construction guidance plans, it provides construction personnel with real-time and accurate installation guidance, ensuring that the construction process meets specifications and design requirements.

[0079] Furthermore, based on the construction specifications and design requirements of photovoltaic power stations, the construction process is broken down into detailed steps and transformed into a visual and interactive format. These steps are then presented to construction personnel through AR intelligent construction assistance equipment. This comprehensive construction guidance approach caters to the learning and operational habits of different construction personnel, effectively reducing installation errors caused by human misunderstandings or operational mistakes, and improving construction quality and efficiency. Based on actual construction feedback, the construction guidance plan is continuously optimized, and the text descriptions, animation demonstrations, and voice prompts are updated to better reflect actual construction conditions. Additionally, a user feedback function has been added, allowing construction personnel to promptly raise questions and suggestions, further refining the construction guidance plan.

[0080] Furthermore, a real-time data transmission module is set up, and high-precision sensors are installed at key locations on the construction site and on construction equipment to collect construction-related data such as RTK positioning data, support and component installation parameters, and construction progress information. This data is transmitted through a wireless network module using 4G or 5G communication technology, and data encryption and verification technologies are used to ensure the stability and reliability of data transmission. For example, after the construction personnel complete the support installation, data such as the relevant installation position and bolt tightening degree are immediately transmitted to the integrated application service platform, realizing the real-time collection and transmission of construction data and providing data support for subsequent construction management.

[0081] Furthermore, sensors are installed at various key locations on the construction site and on construction equipment to collect various construction-related data, including RTK positioning data, installation parameters of supports and components (such as bolt tightening force, component tilt angle, etc.), and construction progress information (completed work, estimated completion time, etc.). These sensors have high-precision data acquisition capabilities, ensuring that the collected data accurately reflects the actual situation on the construction site. The collected data is transmitted through a wireless network module using 4G or 5G communication technology to ensure high bandwidth and low latency data transmission. At the same time, to ensure the stability and reliability of data transmission, data encryption and verification technologies are used to prevent data loss or errors during transmission. For example, when construction workers complete the installation of a support, the relevant installation position data, bolt tightening degree data, etc., will be immediately transmitted to the integrated application service platform via the wireless network.

[0082] Furthermore, the wireless transmission equipment at the construction site includes a 4G / 5G communication module, an antenna, and related signal processing circuits. The 4G / 5G communication module is responsible for encoding and modulating positioning data, installation parameters, progress information, etc., and transmitting them to the wireless network through the antenna. The antenna is a high-gain, directional, or omnidirectional antenna, selected according to the environment and signal coverage requirements of the construction site. The signal processing circuit amplifies and filters the signal output by the communication module to ensure signal quality and strength.

[0083] Furthermore, to achieve real-time, high-speed transmission of construction site data to the integrated application service platform, ensuring data timeliness and integrity, the high bandwidth and low latency characteristics of 4G / 5G wireless networks are utilized. Construction data is digitized and encoded before being transmitted wirelessly to the base station, which then forwards it to the integrated application service platform. The high bandwidth of 4G / 5G communication technology meets the rapid transmission needs of large amounts of construction data, while low latency ensures real-time data transmission, enabling managers to obtain the latest information from the construction site promptly. In construction sites with weak signals, signal relay equipment, such as wireless signal amplifiers or small base stations, can be added to enhance the coverage and strength of the wireless signal, ensuring stable data transmission. Simultaneously, data encryption technology is employed to ensure the security of transmitted data and prevent data leakage or tampering.

[0084] Furthermore, an integrated application service platform is constructed. The platform receives real-time data transmitted from the construction site through a network interface, and uses efficient data processing algorithms to quickly analyze and process massive amounts of data. For example, it analyzes RTK positioning data to determine whether the construction location meets design requirements, and statistically analyzes installation parameter data to assess whether the construction quality meets standards. The platform also categorizes and stores the data. The platform presents the processed data to managers in a visual manner, such as generating construction progress charts and error analysis reports. Managers can log in to the platform through a user-friendly interface to quickly view and analyze data, monitor construction progress in real time, and promptly adjust construction plans and allocate resources when problems such as construction delays are found, ensuring construction accuracy and efficiency.

[0085] Furthermore, the integrated application service platform receives real-time data transmitted from the construction site via a network interface. It employs efficient data processing algorithms to rapidly analyze and process massive amounts of data. For example, it analyzes RTK positioning data to determine if the construction location meets design requirements; it statistically analyzes installation parameter data to assess whether the construction quality meets standards. Simultaneously, the platform categorizes and stores the data for easy retrieval and access later. The integrated application service platform presents the processed data to management personnel in a visual manner, such as generating construction progress charts that use different colors and icons to represent the progress of each construction area; and generating error analysis reports that intuitively display information such as positional and angular deviations during construction. Management personnel can quickly view and analyze this data and monitor construction progress in real time by logging into the platform and utilizing its user-friendly interface. For instance, if a construction delay is detected in a certain area, management personnel can adjust the construction plan and allocate resources promptly based on the data provided by the platform to ensure construction accuracy and efficiency.

[0086] Furthermore, the data processing component of the integrated application service platform consists of high-performance servers, data storage devices, and data analysis software. The servers are responsible for receiving and processing large amounts of data from the construction site, possessing powerful computing capabilities and data processing speeds. The data storage devices are used for long-term storage of construction data and can employ large-capacity hard disk arrays or cloud storage services. The data analysis software, based on specific algorithms, analyzes and processes the received data to generate construction progress reports, error feedback, and other information.

[0087] Furthermore, the real-time transmitted construction data is analyzed and processed, transforming it into intuitive information that guides construction management and helps managers make decisions. Pre-set data analysis algorithms are used to mine and analyze the construction data; for example, by comparing location data with the design location, installation errors are calculated, and construction progress reports are generated based on construction progress information. Efficient data analysis algorithms can quickly and accurately process large amounts of construction data, providing managers with timely and accurate construction information, which helps optimize construction plans and improve construction efficiency and quality. As the amount of construction data continues to increase, distributed computing technology can be used to distribute data processing tasks to multiple servers for parallel processing, improving data processing efficiency. Simultaneously, data is regularly backed up and cleaned to ensure effective storage space on data storage devices and data security.

[0088] Furthermore, the integrated application service platform's data receiving module adopts a high-performance network interface and data buffering mechanism to ensure stable reception of large amounts of real-time data from the construction site. The data processing module consists of a series of data parsing, calculation, and analysis programs, which can classify and process different types of data and generate visualized construction progress charts and error analysis reports. The data storage module adopts a distributed storage architecture to ensure data security and scalability.

[0089] Furthermore, the integrated application service platform efficiently receives real-time data from the construction site and performs accurate processing and analysis, providing data support for construction management. It receives data through a network protocol stack, uses a data parsing program to convert the received binary data into meaningful information, and then generates various reports and charts required for construction management through calculation and analysis algorithms. Highly reliable communication protocols and data processing mechanisms ensure data integrity and real-time performance. Visualized construction progress charts and error analysis reports provide managers with intuitive and clear construction information, facilitating decision-making. Load balancing technology evenly distributes data reception and processing tasks across multiple servers, improving the platform's processing capacity and response speed. Simultaneously, a data backup and recovery mechanism is established to prevent data loss due to hardware failures or other reasons. The platform's real-time monitoring interface features an intuitive graphical design, allowing managers to log in via computers, tablets, or mobile phones to view real-time data such as construction progress, equipment location, and error information. The optimization decision-making module provides suggestions for optimizing construction plans based on data analysis results, such as adjusting the construction sequence or increasing or decreasing construction resources.

[0090] Furthermore, the integrated application service platform helps managers monitor construction progress in real time, optimize construction plans based on actual conditions, and ensure construction accuracy and efficiency. Through real-time updated data displays, managers can intuitively understand the construction status. The optimization decision-making module uses data analysis algorithms and preset optimization rules to evaluate construction data and generate optimization suggestions. The user-friendly interface allows managers to quickly obtain the information they need. Data-driven optimization decisions improve the scientific nature and accuracy of construction management, effectively enhancing construction efficiency and quality. By introducing artificial intelligence and machine learning technologies, the platform conducts in-depth analysis of historical and real-time construction data, continuously optimizing the recommendation algorithm for construction plans and providing more accurate and personalized optimization suggestions. At the same time, it strengthens integration with other construction management systems to achieve data sharing and collaborative work, thereby improving the overall level of construction management.

[0091] The photovoltaic power station construction optimization method provided in this embodiment obtains the target photovoltaic power station's terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information. Based on the target photovoltaic power station's terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information, it calculates the target photovoltaic module's azimuth angle, target photovoltaic module tilt angle, and pile foundation location coordinates, respectively. Based on the target photovoltaic module's azimuth angle, target photovoltaic module tilt angle, and pile foundation location coordinates, it constructs the optimal construction strategy for the photovoltaic power station, improving the construction quality and power generation efficiency of the photovoltaic power station, ensuring the stable operation of the power station, and providing strong technical support for the efficient construction of photovoltaic power stations.

[0092] This embodiment provides a method for optimizing the construction of a photovoltaic power plant, which can be used with the aforementioned computing device. Figure 3 This is a flowchart of a photovoltaic power plant construction optimization method according to an embodiment of the present invention, such as... Figure 3 As shown, the process includes the following steps:

[0093] Step S301: Obtain the target photovoltaic power station's terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information. For details, please refer to [link to relevant documentation]. Figure 2 Step S201 of the illustrated embodiment will not be described again here.

[0094] Step S302: Calculate the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the coordinates of the pile foundation based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic module, and the layout information of the photovoltaic array.

[0095] The target photovoltaic power station topographic information includes the slope angle and the projection of the slope direction vector onto the horizontal plane; the solar position information includes the solar altitude angle and the solar azimuth angle; the target photovoltaic module physical characteristic information includes the angle adjustment coefficient and the size of the photovoltaic module; and the photovoltaic array layout information includes the row and column numbers of the target photovoltaic module in the photovoltaic array.

[0096] Furthermore, the sin (sine) and cos (cosine) functions are widely used in calculating the azimuth angle, tilt angle, and pile foundation coordinates of the target photovoltaic module. This is because trigonometric functions can effectively convert angle information into quantitative components in the horizontal and vertical directions when describing the influence of angle-related factors such as the terrain slope angle, solar altitude angle, and solar azimuth angle of the target photovoltaic power station on the azimuth angle, tilt angle, and pile foundation coordinates of the target photovoltaic module. For example, sin(α) can be used to obtain the influence of the terrain slope in the vertical direction, while cos(α) is used to calculate the effect of the terrain slope in the horizontal direction, thereby accurately quantifying the degree of influence of the terrain slope on each parameter. Here, α represents the terrain slope angle of the target photovoltaic power station relative to the solar altitude angle β and solar azimuth angle γ. Similarly, trigonometric functions are used to convert angle information into effective data for adjusting the relevant parameters of the target photovoltaic module, thereby achieving precise adjustment of the orientation and tilt angle of the photovoltaic module.

[0097] Furthermore, several adjustment coefficients are introduced, such as the geographical environment adjustment coefficient k1, the component characteristic adjustment coefficient k2, the target photovoltaic component adjustment coefficient m, the terrain adjustment coefficient k3, the component layout adjustment coefficient k4, and the component spacing adjustment coefficient n. These adjustment coefficients are determined based on the specific geographical environment of the photovoltaic power station, the physical characteristics of the photovoltaic components themselves, and the shadow analysis of the photovoltaic array. The purpose of these adjustment coefficients is to adjust the weight of the influence of different factors, so that the calculated azimuth angle of the target photovoltaic component, the tilt angle of the target photovoltaic component, and the coordinates of the pile foundation can better fit the specific construction scenario of the photovoltaic power station. For example, k1 and k2 are used to balance the influence weight of factors such as the terrain slope and solar position information of the target photovoltaic power station on the azimuth angle of the target photovoltaic component; m adjusts the influence of the solar altitude angle and terrain slope on the tilt angle based on the characteristics of the photovoltaic component itself; n is determined through shadow analysis and is used to reasonably adjust the component spacing to avoid shadow shading; k3 and k4 are used to fine-tune the coordinates of the pile foundation based on terrain characteristics and component layout.

[0098] Furthermore, by calculating a series of intermediate variables, such as the horizontal offset Δx of the pile foundation position caused by the terrain slope of the target photovoltaic power station, the calculation is performed. slope Vertical offset Δy of pile foundation position caused by the terrain slope of the target photovoltaic power station slope The height difference Δh between the target photovoltaic modules perpendicular to the slope direction perp Horizontal distance Δd between target photovoltaic modules para Horizontal offset Δx of the first pile foundation position array Vertical offset Δy from the position of the first pile foundation array The calculation process gradually integrates the influence of different factors on the azimuth angle, tilt angle, and pile foundation coordinates of the target photovoltaic module. These intermediate variables play a crucial role in the calculation, progressively transmitting and integrating the influence of each factor, making the calculation process more logical and hierarchical. For example, Δx... slope and Δy slope This study integrates the influence of the target photovoltaic power station's terrain slope angle, solar altitude angle, and solar azimuth angle on the projection of the target direction vector onto the horizontal plane, providing corrective data for subsequent accurate calculation of the photovoltaic module azimuth angle, Δh. perp and Δd para Taking into account the impact of terrain slope on elevation difference and horizontal distance is an important intermediate step in optimizing the tilt angle calculation of photovoltaic modules, Δx slope and Δy slope The influence of factors such as component spacing, solar angle, and slope on the location coordinates of the pile foundation was considered, laying the foundation for accurately determining the location of the pile foundation.

[0099] Furthermore, by employing trigonometric functions and adjustment coefficients, the problem of accurately calculating the azimuth and tilt angles of target photovoltaic modules under the consideration of terrain slope and changes in the sun's position is solved. In actual photovoltaic power plant construction, the undulations of the terrain and the dynamic changes in the sun's position significantly affect the efficiency of photovoltaic modules in receiving sunlight. Simple calculation methods cannot accurately handle these complex situations. By comprehensively considering multiple factors and using trigonometric functions and adjustment coefficients to accurately quantify the influence of each factor, the target photovoltaic modules can receive sunlight at the optimal angle according to the actual geographical and lighting conditions. For example, in the calculation of the azimuth angle of the target photovoltaic module... The combination of functions such as sin(α), cos(β), and cos(γ) comprehensively considers the influence of the target photovoltaic power station's terrain slope angle, solar altitude angle, and solar azimuth angle on the target photovoltaic module's azimuth angle. This avoids azimuth deviations caused by simple calculations, ensuring that the target photovoltaic module can face the sun more accurately and improve photovoltaic power generation efficiency. In the calculation of the target photovoltaic module's tilt angle, the combination of functions such as m sin(α) and cos(β) fully considers the inherent characteristics of the target photovoltaic module, the terrain slope of the target photovoltaic power station, and the influence of the solar altitude angle on the target photovoltaic module's tilt angle, making the calculated target photovoltaic module tilt angle more consistent with actual power generation needs.

[0100] Furthermore, by utilizing intermediate variable calculations and coefficient adjustments to construct functions, the problem of rationally determining the coordinates of pile foundation locations under complex terrain and photovoltaic array layout requirements was solved. The terrain of the target photovoltaic power station may be complex and diverse. Simultaneously, to improve power generation efficiency, a reasonable layout of the photovoltaic module array is needed to avoid shading between modules. Existing pile foundation location determination methods are insufficient to meet these complex requirements. Through calculations such as Δx... array and Δy array Intermediate variables, such as component spacing, solar angle, and slope, are comprehensively considered to influence the location of the pile foundation, providing a basis for accurately determining the location of the pile foundation. At the same time, adjustment coefficients such as k3 and k4 are used to further fine-tune the location of the pile foundation according to the terrain and component layout, ensuring that the pile foundation can adapt to the terrain slope and meet the requirements of component spacing and layout, avoiding shading, thereby ensuring the stable operation and efficient power generation of the photovoltaic power station.

[0101] Specifically, step S302 includes:

[0102] Step S3021: Obtain the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane. Based on the terrain information and solar position information of the target photovoltaic power station, correct the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane to obtain the azimuth angle of the target photovoltaic module.

[0103] Specifically, assuming a horizontal ground surface and without considering complex environmental factors, the horizontal and vertical coordinates of the projection of the target direction vector of the photovoltaic module onto the horizontal plane are x and y, respectively. The azimuth angle of the module, without considering complex environmental factors... The component azimuth angle is calculated using the arctangent function, without considering complex environmental factors. The expression is:

[0104]

[0105] in, The azimuth angle of the photovoltaic module is calculated based on a simple horizontal direction vector relationship, without considering complex environmental factors. This initial azimuth angle is the base value before azimuth angle calculation optimization. x is the abscissa of the target direction vector projected onto the horizontal plane, representing the abscissa component of the vector pointing towards the photovoltaic module's target orientation. It is used for azimuth angle calculation, and relevant reference direction information can be obtained through an RTK positioning system to determine x. y is the ordinate of the target direction vector projected onto the horizontal plane, representing the ordinate component of the vector pointing towards the photovoltaic module's target orientation. It is used together with x for the arctangent calculation of the azimuth angle, helping to determine the approximate orientation of the target photovoltaic module. The value range of the azimuth angle without considering complex environmental factors is as follows: This method is only applicable to ideal horizontal ground scenarios and does not take into account the influence of complex factors such as the slope angle of the target photovoltaic power station, the solar altitude angle, and the solar azimuth angle on the azimuth angle of the photovoltaic module in actual applications. Therefore, the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane are corrected by using the terrain information and solar position information of the target photovoltaic power station to obtain the azimuth angle of the target photovoltaic module.

[0106] In some optional implementations, step S4021 above includes:

[0107] Step a1: Obtain the geographical environment adjustment coefficient and the component characteristic adjustment coefficient. Based on the geographical environment adjustment coefficient, the component characteristic adjustment coefficient, the slope angle of the target photovoltaic power station terrain, the projection of the slope direction vector on the horizontal plane, the solar altitude angle, and the solar azimuth angle, calculate the projection coordinate correction.

[0108] Specifically, considering the terrain slope angle α of the target photovoltaic power station (unit: radians), The terrain slope angle α (in radians) of the target photovoltaic power station, obtained through RTK positioning measurement, reflects the inclination of the terrain where the target photovoltaic power station is located. This affects the adjustment of the azimuth and tilt angles of the photovoltaic modules and is an important basis for optimization calculations based on the actual terrain. The solar altitude angle β (in radians) is also important. The solar altitude angle β (in radians), obtained using RTK positioning combined with astronomical data, is the angle between the sun's rays and the ground plane. Accurate calculation of the azimuth and tilt angles of the target photovoltaic (PV) module is crucial, helping to adjust the module's orientation to maximize solar energy reception. The solar azimuth angle γ (in radians, 0 ≤ γ ≤ 2π), obtained through RTK positioning combined with astronomical data, is used to determine the sun's direction on the horizontal plane. Optimizing the target PV module's azimuth angle calculation ensures that the module's orientation better aligns with the sun's trajectory, and also considers the projection of the slope direction vector onto the horizontal plane. (s x and s y (Determined by combining topographic survey data with slope direction), the projection of the slope direction vector onto the horizontal plane includes: the abscissa s of the projection of the slope direction vector onto the horizontal plane. x The vertical coordinate s of the projection of the slope direction vector onto the horizontal plane y The horizontal coordinate s of the slope direction vector projected onto the horizontal plane, calculated based on the terrain information of the target photovoltaic power station obtained through RTK positioning. x This reflects the horizontal component of the target photovoltaic power station's terrain slope, used to correct the azimuth angle of the target photovoltaic modules to adapt to the optimal orientation under terrain conditions. The vertical coordinate s of the slope direction vector projected onto the horizontal plane is... y With s x Together, they comprehensively describe the projection of the slope direction vector onto the horizontal plane, assisting in the calculation of the impact of the terrain slope angle of the target photovoltaic power station on the azimuth angle of the target photovoltaic module, thereby improving the calculation accuracy of the azimuth angle of the target photovoltaic module.

[0109] Meanwhile, two adjustment coefficients, k1 and k2, are introduced, which are respectively related to the specific geographical environment of the photovoltaic power station and the characteristics of the components. k1 is the geographical environment adjustment coefficient, which is used to weigh the degree of influence of different factors on the azimuth angle of the photovoltaic components. It is an important parameter in the process of optimizing the calculation of the azimuth angle of the target photovoltaic components. At the same time, the influence of the slope on the projection of the target direction vector on the horizontal plane (i.e., the projection coordinate correction) is calculated. k2 is the component characteristic adjustment coefficient, which further refines the weight of the influence of different factors on the azimuth angle of the target photovoltaic components, making the calculation of the azimuth angle of the target photovoltaic components more in line with the actual construction scenario.

[0110] Let the projected coordinate corrections in the x and y directions caused by the slope be Δx and Δy, respectively. slope and Δy slope Δx slope The correction factor Δy is the projection of the target direction vector onto the x-direction due to the combined effects of terrain slope, solar altitude angle, and solar azimuth angle. It is an intermediate variable used to adjust for deviations in traditional azimuth angle calculations that do not consider complex factors. slopeThe correction in the y-direction caused by the above factors, and Δx slope Through synergistic effect, the target direction vector projection was precisely adjusted, thereby optimizing the calculation of the target photovoltaic module's azimuth angle; where Δx slope and Δy slope The expressions are as follows:

[0111] Δx slope =k1sin(α)cos(β)cos(γ)+k2s x (2)

[0112] Δu slope =k1sin(α)cos(β)sin(γ)+k2s y (3)

[0113] Step a2: Calculate the corrected projection coordinates based on the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane and the projection coordinate correction amount.

[0114] Specifically, the projection coordinate correction is added to the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane to obtain the corrected horizontal coordinate x. mod and the vertical coordinate y mod (i.e., the corrected projected coordinates), x mod This is to add a correction amount Δx due to factors such as slope to the x-coordinate of the target direction vector. slope The corrected x-coordinate obtained later provides data support for the subsequent accurate calculation of the optimized azimuth angle. It serves as a transitional variable in the optimization calculation process. mod It is the original target direction vector's ordinate y plus the correction amount Δy. slope The corrected ordinate obtained later, and x mod Together with the target photovoltaic azimuth angle, the expression for the corrected projected coordinates is as follows:

[0115] x mod =x + Δx slope (4)

[0116] y mod =y+Δy slope (5)

[0117] Step a3: Calculate the azimuth angle of the target photovoltaic module based on the corrected projection coordinates.

[0118] Specifically, the expression for the azimuth angle of the target photovoltaic module is:

[0119]

[0120] in, The azimuth angle of the target photovoltaic module is the precisely calculated azimuth angle, taking into full account factors such as terrain slope, solar altitude angle, and azimuth angle. Combined with accurate geographical and solar position data obtained from the RTK positioning system, this ensures the target photovoltaic module is oriented more precisely to receive sunlight. It is a key parameter for achieving efficient construction assistance, with a value range of [value range missing].

[0121] Step S3022: Obtain the position information between the target photovoltaic modules. Based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristic information of the target photovoltaic modules, correct the position information between the target photovoltaic modules to obtain the tilt angle of the target photovoltaic modules.

[0122] Specifically, without considering slope and other complex factors, assuming the measured height difference between the target photovoltaic modules is Δh and the horizontal distance between them is Δd (i.e., the positional information between the target photovoltaic modules), and without considering slope and other complex factors, the module tilt angle θ... old Calculated using the following formula:

[0123]

[0124] Where, θ old The initial tilt angle of the photovoltaic modules is calculated based on the height difference and horizontal distance between the target photovoltaic modules, without considering slope and other complex factors. It does not account for actual influencing factors such as terrain slope and solar altitude angle, and serves as the starting reference value for tilt angle optimization calculations. Δh represents the height difference between the target photovoltaic modules, measured using an RTK positioning system. This is a fundamental parameter for calculating the tilt angle, but in complex real-world environments, further optimization is needed considering other factors. Δd represents the horizontal distance between the target photovoltaic modules, obtained using RTK positioning. Together with Δh, it forms the basis for calculating the tilt angle and requires adjustment based on more factors during optimization. θ old The range of values ​​is However, in practical applications, environmental factors such as the slope angle and solar altitude angle of the target photovoltaic power station will significantly affect the optimal tilt angle of the target photovoltaic modules. Therefore, it is necessary to correct the tilt angle of the modules that do not take into account the slope and other complex factors.

[0125] In some optional implementations, step S3022 above includes:

[0126] Step b1: Based on the terrain slope angle of the target photovoltaic power station and the position information between the target photovoltaic modules, calculate the height difference between the target photovoltaic modules perpendicular to the slope direction and the horizontal distance between the target photovoltaic modules parallel to the slope direction.

[0127] Specifically, Δh perp The height difference perpendicular to the slope direction, obtained by multiplying the measured height difference between two points by the cosine of the slope angle Δh (cos(α)), reflects the height difference component that truly affects the tilt angle of photovoltaic modules when considering the terrain slope. It is an important intermediate variable for optimizing tilt angle calculations. Δd para The horizontal distance parallel to the slope direction, obtained by multiplying the measured horizontal distance Δd by the cosine of the slope angle cos(α), is used to accurately calculate the tilt angle of photovoltaic modules when considering the terrain slope. It is a key intermediate parameter in the optimization calculation process.

[0128] Among them, the height difference Δh between the target photovoltaic modules perpendicular to the slope direction perp The horizontal distance Δd between the target photovoltaic module and the slope direction para The expressions are as follows:

[0129] Δh perp =Δhcos(α) (8)

[0130] Δd para =Δdcos(α) (9)

[0131] Step b2: Calculate the adjustment amount of the target photovoltaic module in the vertical and parallel directions caused by the solar altitude angle based on the solar altitude angle, the slope angle of the target photovoltaic power station terrain, and the adjustment coefficient of the included angle of the target photovoltaic module.

[0132] Specifically, based on the target photovoltaic power station's terrain slope angle α (unit: radians) and solar altitude angle β (unit: radians), an adjustment coefficient m for the target photovoltaic module's tilt angle is introduced. m is an adjustment coefficient determined based on the photovoltaic module's material, structure, and other physical characteristics. This coefficient is used to adjust the influence of the solar altitude angle and terrain slope on the target photovoltaic module's tilt angle, making the calculated tilt angle more consistent with the module's actual power generation requirements. Furthermore, considering the influence of the solar altitude angle β on the tilt angle, the adjustment amounts of the target photovoltaic module in the vertical and parallel directions caused by the solar altitude angle are calculated. The expressions for the adjustment amounts of the target photovoltaic module in the vertical and parallel directions caused by the solar altitude angle are:

[0133] Δh sun =msin(α)cos(β) (10)

[0134] Δd sun =mcos(α)cos(β) (11)

[0135] Where, Δh sunThe vertical adjustment of the target photovoltaic module caused by the solar altitude angle is calculated by considering the angle adjustment coefficient m and multiplying it by the sine of the slope angle sin(α) and the cosine of the solar altitude angle cos(β). This reflects the effect of the solar altitude angle on the vertical tilt angle adjustment of the photovoltaic module and is used for calculating the tilt angle of the target photovoltaic module. Δd sun The adjustment amount in the parallel direction of the target photovoltaic module caused by the solar altitude angle is the adjustment amount in the parallel direction of the slope obtained by multiplying the measured horizontal distance Δd by the cosine value of the slope angle cos(α). It is used to accurately calculate the tilt angle of the target photovoltaic module when considering the terrain slope and is a key intermediate parameter in the optimization calculation process.

[0136] Step b3: Calculate the tilt angle of the target photovoltaic modules based on the height difference between the target photovoltaic modules perpendicular to the slope direction, the horizontal distance between the target photovoltaic modules parallel to the slope direction, and the adjustment amount of the target photovoltaic modules in the vertical and horizontal directions caused by the solar altitude angle.

[0137] Specifically, the expression for the target photovoltaic module tilt angle is:

[0138]

[0139] Where θ is the target photovoltaic module tilt angle, and is the optimized target photovoltaic module tilt angle, which comprehensively considers multiple factors such as terrain slope, solar altitude angle, and the characteristics of the photovoltaic module itself. Using terrain and solar position information provided by the RTK positioning system, the tilt angle that allows the target photovoltaic module to receive sunlight at the optimal angle is accurately calculated. This is a key parameter for achieving high-efficiency photovoltaic power generation and an important indicator for precise construction assistance. Its value range is [value range missing].

[0140] Step S3023: Obtain the coordinates of the array starting point. Based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristics information of the target photovoltaic module, and the photovoltaic array layout information, correct the coordinates of the array starting point to obtain the coordinates of the pile foundation position.

[0141] Specifically, assuming a fixed origin within the target photovoltaic power station as the reference, the coordinates of the center position of a single target photovoltaic module on the horizontal plane are (x0, y0). This is the coordinate value of the center position of a single photovoltaic module on the horizontal plane determined by the RTK positioning system. It is the starting point for calculating the pile foundation position coordinates and also the basic reference for subsequent coordinate correction considering various factors. The dimension of the target photovoltaic module in the x-direction is 'a', used to determine the space occupied by the target photovoltaic module in the horizontal direction. This has a significant impact on the calculation of the pile foundation position coordinates and is a basic parameter for construction assistance based on the actual size of the module. The dimension of the target photovoltaic module in the y-direction is 'b', a key parameter considering the actual size of the module when determining the pile foundation position coordinates. The pile foundation position coordinates (x0, y0) without considering the module layout are not considered. p_old ,y p_old The coordinates of the center position of a single photovoltaic module on the horizontal plane, determined by the RTK positioning system, are the starting point for calculating the coordinates of the pile foundation position and the basis for subsequent coordinate correction considering various factors.

[0142] The expression for the location coordinates of the pile foundation, without considering the component layout, is as follows:

[0143]

[0144] Among them, (x p_old ,y p_old (x0, y0) represents the position coordinates of the pile foundation without considering the component layout. (x0, y0) is the value of the center position coordinate of a single target photovoltaic module on the horizontal plane. a is the size of the target photovoltaic module in the x-direction, and b is the size of the target photovoltaic module in the y-direction. The position coordinates of the pile foundation without considering the component layout only consider the size of a single target photovoltaic module and do not take into account the terrain slope angle, shading, and layout requirements of the entire photovoltaic array. Therefore, the position coordinates of the pile foundation without considering the component layout need to be corrected.

[0145] In some optional implementations, step S3023 above includes:

[0146] Step c1: Obtain the component spacing adjustment coefficient, and calculate the first pile foundation position offset based on the target photovoltaic power station terrain slope angle, solar altitude angle, solar azimuth angle, photovoltaic module size, and the row and column numbers of the target photovoltaic module in the photovoltaic array; wherein, the first pile foundation position offset is the pile foundation position offset caused by the target photovoltaic module spacing, solar azimuth angle, and solar altitude angle.

[0147] Specifically, based on the target photovoltaic power station's terrain slope angle α (in radians), solar altitude angle β (in radians), solar azimuth angle γ (in radians), and the module spacing adjustment coefficient n (a module spacing adjustment coefficient determined through detailed analysis of the solar trajectory and shading conditions at the photovoltaic power station's location, used to reasonably adjust the spacing between target photovoltaic modules to prevent front-row modules from shading rear-row modules and ensure that each module receives sufficient sunlight, it is a key parameter for optimizing the pile foundation position coordinate calculation), and assuming the row number of the i-th module in the photovoltaic array is r... i (Row number r of the target photovoltaic module in the photovoltaic array) i Let be the row number of the i-th target photovoltaic module in the photovoltaic array, serving as an identifier for the module's row position within the array. This parameter is crucial for calculating the pile foundation coordinates, ensuring the pile foundation position conforms to the overall photovoltaic array layout requirements, and is an important index parameter for construction assistance considering the array layout. (Column number c) i (the column number of the target photovoltaic module in the photovoltaic array c) i Let r be the column number of the i-th target photovoltaic module in the photovoltaic array. i In conjunction with precise identification of the photovoltaic modules' positions within the array, the calculation of the pile foundation's position coordinates, in collaboration with other factors, ensures that the pile foundation's position corresponds to the module's position within the array, meeting the array layout requirements. The calculation also includes the offset Δx in the x and y directions caused by module spacing, solar azimuth angle, and altitude angle. array and Δy array (i.e., the offset of the first pile foundation position, Δx) array To comprehensively consider factors such as the component spacing adjustment coefficient n, solar altitude angle β, solar azimuth angle γ, component dimension a in the x-direction, and target photovoltaic power station slope angle α, the offset in the x-direction caused by component spacing, solar azimuth angle, and solar altitude angle reflects the influence of various factors on the position of the pile foundation in the x-direction. It is an important intermediate variable in the process of optimizing the pile foundation position coordinate calculation. Δy array With Δx array Similarly, the offset in the y-direction caused by component spacing, solar azimuth angle, and altitude angle, taking into account multiple factors, reflects the influence of these factors on the position of the pile foundation in the y-direction and is an important intermediate variable in the process of optimizing the pile foundation position coordinate calculation.

[0148] The expression for the offset of the first pile foundation is as follows:

[0149] Δx array =c i (a+nsin(β)cos(γ))cos(α) (14)

[0150] Δy array =r i(b+nsin(β)sin(γ))sin(α) (15)

[0151] Step c2: Obtain the terrain adjustment coefficient and the component layout adjustment coefficient, and calculate the offset of the second pile foundation position based on the terrain slope angle of the target photovoltaic power station, the terrain adjustment coefficient and the component layout adjustment coefficient; wherein, the offset of the second pile foundation position is the offset of the pile foundation position caused by the terrain slope of the target photovoltaic power station.

[0152] Specifically, the terrain adjustment coefficient k3 and the component layout adjustment coefficient k4 are introduced to calculate the offset of the second pile foundation position. The offset of the second pile foundation position includes the horizontal and vertical offset of the pile foundation position caused by the slope of the target photovoltaic power station terrain; where Δx slope_p The offset in the x-direction caused by the terrain slope (i.e., the horizontal offset of the pile foundation position caused by the terrain slope of the target photovoltaic power station) is calculated by considering only the terrain slope angle α and the terrain adjustment coefficient k3. It is used to correct the influence of the terrain slope on the pile foundation position in the x-direction, ensuring that the pile foundation position adapts to terrain changes. It is a key adjustment parameter for optimizing the pile foundation position coordinates. Δy array With Δx array Similarly, the offset in the y-direction caused by the spacing between components and the solar azimuth and elevation angles (i.e., the vertical offset of the pile foundation position caused by the terrain slope of the target photovoltaic power station) comprehensively considers various factors and reflects their influence on the position of the pile foundation in the y-direction. It is an important intermediate variable in the process of optimizing the calculation of the pile foundation position coordinates.

[0153] Furthermore, the expression for the offset of the second pile foundation position is:

[0154] Δx slope_p =k3sin(α) (16)

[0155] Δy slope_p =k4cos(α) (17)

[0156] Among them, k3 is a terrain adjustment coefficient determined based on the terrain characteristics of the photovoltaic power station and the layout of the components in the array. It is used to fine-tune the pile foundation position coordinates to better adapt them to the terrain and layout requirements. It is an important parameter for optimizing the calculation of pile foundation position coordinates. k4 is a component layout adjustment coefficient, which further considers the influence of terrain and component layout on the pile foundation position coordinates. By adjusting the value of the component layout adjustment coefficient, the pile foundation position is made more in line with actual needs, ensuring the stability of the pile foundation and the rationality of the component layout. Δx slope_pThe offset in the x-direction caused by the terrain slope, calculated considering only the terrain slope angle α and the terrain adjustment coefficient k3, is used to correct the influence of the terrain slope on the position of the pile foundation in the x-direction. This ensures that the pile foundation position adapts to terrain changes and is a key adjustment parameter for optimizing the pile foundation position coordinates. Δy array With Δx array Similarly, the offset in the y-direction caused by component spacing, solar azimuth angle, and altitude angle, taking into account multiple factors, reflects its influence on the position of the pile foundation in the y-direction and is an important intermediate variable in the process of optimizing the calculation of the pile foundation position coordinates.

[0157] Step c3: Calculate the position coordinates of the pile foundations based on the array starting point coordinates, the offset of the first pile foundation position, and the offset of the second pile foundation position.

[0158] Specifically, the expression for the location coordinates of the pile foundation is:

[0159] x p =x start +Δx array +Δx slope_p =x start +c i (a+nsin(β)cos(γ))cos(α)+k3sin(α)(18)

[0160] y p =y start +Δy array +Δy slope_p =y start +r i (b+nsin(β)sin(γ))sin(α)+k4cos(α)(19)

[0161] Step S303: Construct the optimal construction strategy for the photovoltaic power station based on the azimuth angle of the target photovoltaic modules, the tilt angle of the target photovoltaic modules, and the coordinates of the pile foundation location. For details, please refer to [link to relevant documentation]. Figure 1 Step S203 of the illustrated embodiment will not be described again here.

[0162] The photovoltaic power station construction optimization method provided in this embodiment obtains the positional information between target photovoltaic modules, and corrects the positional information between target photovoltaic modules based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristics information of the target photovoltaic modules. It comprehensively considers the influence of slope and solar-related angles on the azimuth angle of the target photovoltaic modules, making the calculation of the azimuth angle of the target photovoltaic modules more in line with the actual illumination requirements, so that the target photovoltaic modules can receive sunlight at a better angle. By obtaining the positional information between target photovoltaic modules and correcting the positional information between target photovoltaic modules based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristics information of the target photovoltaic modules, and combining factors such as slope and solar altitude angle to calculate the tilt angle of the target photovoltaic modules, the target photovoltaic modules can receive sunlight better, thereby improving power generation efficiency.

[0163] The following specific examples illustrate the detailed steps of a photovoltaic power plant construction optimization method.

[0164] Example 1:

[0165] Taking the specific steps of the construction optimization method for a photovoltaic power station as an example, it includes: 1) obtaining the topographic information, solar position information, physical characteristic information of the target photovoltaic module, and photovoltaic array layout information of the target photovoltaic power station; 2) calculating the azimuth angle, tilt angle, and pile foundation coordinates of the target photovoltaic module based on the topographic information, solar position information, physical characteristic information of the target photovoltaic module, and photovoltaic array layout information; 3) constructing the optimal construction strategy for the photovoltaic power station based on the azimuth angle, tilt angle, and pile foundation coordinates; among which, the calculation of the azimuth angle, tilt angle, and pile foundation coordinates needs to be adaptively adjusted according to different construction scenarios.

[0166] For example, in different construction scenarios, the calculation of the target photovoltaic module azimuth angle corresponding to the photovoltaic power station construction optimization method includes two cases:

[0167] 1) Ideal flat terrain with no shading: The slope angle α of the target photovoltaic power station is 0, and the solar altitude angle β and solar azimuth angle γ are relatively stable. Therefore, the influence of the slope angle on the direction vector can be ignored. In this case, the expression for the azimuth angle of the target photovoltaic module is:

[0168]

[0169] Based on the RTK high-precision positioning system, the geographic coordinates of the photovoltaic power station are obtained, thereby determining the x and y values ​​of the target direction vector projected onto the horizontal plane. Simultaneously, combined with astronomical data or real-time monitoring, the solar altitude angle β and solar azimuth angle γ are obtained. Construction personnel use AR intelligent auxiliary construction equipment to visualize the calculated azimuth angle of the target photovoltaic modules on-site, guiding the installation orientation of the target photovoltaic modules. The range of values ​​is This represents the angle of the target photovoltaic module relative to the reference direction. In the above situation, the calculated azimuth angle of the target photovoltaic module allows it to face the sun as much as possible on flat terrain without shading, thus obtaining maximum sunlight. For example, if the calculated azimuth angle... This indicates that the photovoltaic modules should be oriented due south (assuming the reference direction is due south).

[0170] 2) Complex terrain with the risk of shading: In reality, the slope angle α of the target photovoltaic power station is not equal to 0, and the shading of the front-row modules on the rear-row modules must be considered. First, the RTK positioning system is used to accurately measure the slope angle α of the target photovoltaic power station terrain and the projection s of the slope direction vector on the horizontal plane. x and s y Simultaneously, through long-term monitoring of the sun's trajectory or simulation using specialized software, the solar altitude angle β and solar azimuth angle γ at different times are determined. Based on shading analysis, the module spacing adjustment coefficient n, as well as adjustment coefficients k1 and k2 related to the geographical environment of the photovoltaic power station and the characteristics of the modules, are determined. Substituting these parameters into the target photovoltaic module azimuth angle, the expression for the target photovoltaic module azimuth angle is:

[0171]

[0172] Construction workers utilize AR-assisted construction equipment to overlay the calculated azimuth angle of the target photovoltaic modules with the actual terrain and the status of already installed modules. This allows for real-time adjustments to the installation orientation of the photovoltaic modules, ensuring they can adapt to slope variations in complex terrain while minimizing shading and maximizing power generation efficiency. Under these conditions, the azimuth angle of the target photovoltaic modules remains within a certain range. In this complex situation, the calculated azimuth angle of the target photovoltaic module takes into account multiple factors, such as... The value deviates from the ideal flat terrain, indicating that the photovoltaic modules need to be oriented differently to adapt to the terrain and avoid shading. Through the visualization of AR smart construction auxiliary equipment, construction personnel can intuitively understand and accurately implement the adjustment of the installation direction.

[0173] In different construction scenarios, the calculation of the target photovoltaic module tilt angle corresponding to the photovoltaic power plant construction optimization method includes two cases:

[0174] 1) Flat terrain and stable sunlight: When the terrain of the target photovoltaic power station area is flat, i.e., α = 0, and the sunlight conditions are relatively stable, the expression for the tilt angle of the target photovoltaic module simplifies to:

[0175]

[0176] Among them, because there is no slope effect, Δh perp =Δh, Δd para =Δd, using an RTK positioning system to obtain the height difference Δh and horizontal distance Δd between the target photovoltaic modules, and determining the angle adjustment coefficient m based on the physical characteristics of the photovoltaic modules, and obtaining the solar altitude angle β, the tilt angle θ of the target photovoltaic modules is calculated. Construction personnel can then use AR intelligent auxiliary construction equipment to directly mark the tilt angle at which the photovoltaic modules should be installed on-site, ensuring that the modules receive sunlight at the appropriate angle. At this point, the range of the target photovoltaic module tilt angle θ is... Under the above conditions, the calculated target tilt angle of the photovoltaic module can enable the photovoltaic module to achieve better power generation efficiency when there is no slope and the illumination is stable. For example, when θ is close to a certain empirical optimal value, it indicates that the module installation tilt angle is appropriate; if the deviation is large, it needs to be adjusted.

[0177] 2) Slope with significant variations in sunlight: For sloped terrain, α≠0, and sunlight varies considerably with time and season. First, accurately measure the slope angle α of the target photovoltaic power station using an RTK positioning system to obtain the height difference Δh and horizontal distance Δd between the target photovoltaic modules. Determine m based on the characteristics of the photovoltaic modules. Monitor in real time or obtain the solar altitude angle β using an astronomical model. Calculate the tilt angle of the target photovoltaic modules based on the above parameters. The expression for the tilt angle of the target photovoltaic modules is:

[0178]

[0179] During construction, AR-assisted construction equipment is used to display the calculated target photovoltaic module tilt angle at the module installation location in the form of virtual auxiliary lines, facilitating adjustments to the module tilt angle by construction personnel. Simultaneously, due to significant variations in sunlight, the tilt angle can be recalculated periodically or in real-time based on these changes, and the displayed information is updated promptly via the AR-assisted construction equipment. This ensures that the target photovoltaic module always receives sunlight at the optimal tilt angle, with the tilt angle θ value remaining constant. Under these conditions, the calculated target photovoltaic module tilt angle comprehensively considers terrain slope and sunlight variations. For example, when the slope is steep and the solar altitude angle changes frequently, the value of θ will be dynamically adjusted accordingly. Through the real-time display provided by the AR-assisted construction equipment, construction personnel can respond promptly, ensuring the power generation efficiency of the photovoltaic module.

[0180] In different construction scenarios, the calculation of the pile foundation location coordinates corresponding to the photovoltaic power station construction optimization method includes two cases:

[0181] 1) Small-scale, simple-layout photovoltaic power plants: For small-scale, simple-layout photovoltaic power plants, some factors can be simplified. Assuming the module spacing adjustment coefficient n is taken as an empirical value (due to the small scale of the power plant, shading problems are relatively minor), and the terrain is relatively flat with α≈0, the expression for the pile foundation location coordinates can be simplified as follows:

[0182] x p =x start +c i (a+nsin(β)cos(γ))+k3 (24)

[0183] y p =y start +r i (b+nsin(β)sin(γ))+k4 (25)

[0184] Determine the array starting point coordinates (x) using an RTK positioning system start ,y start And determine the row number r based on the position of the target component in the array. i and column number c i The solar altitude angle β and solar azimuth angle γ are obtained through astronomical data or real-time monitoring, and correction coefficients k3 and k4 are determined. These parameters are then substituted into a simplified formula to calculate the pile foundation location coordinates. Construction personnel use AR intelligent construction assistance equipment to display the calculated pile foundation location coordinates as virtual markers on the construction site, guiding the accurate construction of the pile foundation. The calculated (x... p ,y p The coordinate values ​​determine the position of the pile foundation on the plane of the photovoltaic power station. In the above case, the pile foundation position coordinates calculated by the simplified formula can meet the approximate requirements of the pile foundation position for small-scale, simple-layout photovoltaic power stations. For example, if the calculated x... p If the value deviates significantly from the expected location, construction personnel can check whether the parameter settings or measurement data are accurate.

[0185] 2) Large-scale, complex photovoltaic power plant layouts: Large-scale photovoltaic power plants have complex terrain and layouts, requiring comprehensive consideration of various factors. An RTK positioning system is used to accurately measure the slope angle α of the target photovoltaic power plant terrain to determine the coordinates of the array's starting point (x). start ,y start ), and the row number r of the component in the array. i and column number c iThe component spacing adjustment coefficient n is determined through detailed shadow analysis. k3 and k4 are determined based on the terrain and component layout. The solar altitude angle β and solar azimuth angle γ are obtained through real-time monitoring or simulation using professional software. Combined with the target photovoltaic component dimensions a and b, the pile foundation location coordinates are calculated based on these parameters. The expression for the pile foundation location coordinates is:

[0186] x p =x start +c i (a+nsin(β)cos(γ))cos(α)+k3sin(α) (26)

[0187] y p =y start +r i (b+nsin(β)sin(γ))sin(α)+k4cos(α) (27)

[0188] During construction, AR intelligent construction assistance equipment is used to display the coordinates of the pile foundation in a three-dimensional visualization on site. Construction personnel can intuitively see the spatial relationship between the pile foundation and the terrain and other components, enabling precise construction. Furthermore, as construction progresses and the environment changes (such as local terrain changes or changes in the sun's position), the coordinates of the pile foundation can be recalculated in real time and updated via the AR intelligent construction assistance equipment, ensuring that the pile foundation position always meets the requirements of complex terrain and layout. p ,y p The coordinate range covers the entire photovoltaic power station area. In the case of large and complex layouts, the calculated pile foundation location coordinates take into account a variety of factors. For example, if the calculated pile foundation location coordinates are close to an area with a large terrain slope, the coordinates are adjusted by slope-related terms to ensure the stability of the pile foundation. If it is close to an area where the shadow of the front row of modules may be blocked, the coordinates are adjusted by adjusting parameters such as n to avoid shadow blocking. Through the intuitive display of AR intelligent construction auxiliary equipment, construction personnel can accurately grasp the rationality of the pile foundation location and adjust the construction in a timely manner.

[0189] This embodiment also provides a photovoltaic power plant construction optimization system. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0190] This embodiment provides a photovoltaic power plant construction optimization system, such as... Figure 4 As shown, the system includes:

[0191] The acquisition module 401 is used to acquire the target photovoltaic power station's terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information.

[0192] The calculation module 402 is used to calculate the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the coordinates of the pile foundation based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic module, and the layout information of the photovoltaic array.

[0193] Module 403 is used to construct the optimal construction strategy for a photovoltaic power station based on the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the location coordinates of the pile foundation.

[0194] In some alternative implementations, the computing module 402 includes:

[0195] The first correction unit is used to obtain the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane, and correct the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane based on the terrain information and solar position information of the target photovoltaic power station to obtain the azimuth angle of the target photovoltaic module.

[0196] The second correction unit is used to obtain the position information between the target photovoltaic modules, and correct the position information between the target photovoltaic modules based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristic information of the target photovoltaic modules to obtain the tilt angle of the target photovoltaic modules.

[0197] The third correction unit is used to obtain the coordinates of the array starting point. Based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristics information of the target photovoltaic module, and the layout information of the photovoltaic array, the coordinates of the array starting point are corrected to obtain the coordinates of the pile foundation position.

[0198] In some optional implementations, the first correction unit includes:

[0199] The first calculation subunit is used to obtain the geographical environment adjustment coefficient and the component characteristic adjustment coefficient, and calculate the projection coordinate correction based on the geographical environment adjustment coefficient, the component characteristic adjustment coefficient, the slope angle of the target photovoltaic power station, the projection of the slope direction vector on the horizontal plane, the solar altitude angle, and the solar azimuth angle.

[0200] The second calculation subunit is used to calculate the corrected projection coordinates based on the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane and the projection coordinate correction amount.

[0201] The third calculation subunit is used to calculate the azimuth angle of the target photovoltaic module based on the corrected projection coordinates.

[0202] In some optional implementations, the second correction unit includes:

[0203] The fourth calculation subunit is used to calculate the height difference between the target photovoltaic modules perpendicular to the slope direction and the horizontal distance between the target photovoltaic modules parallel to the slope direction, based on the slope angle of the target photovoltaic power station and the position information between the target photovoltaic modules.

[0204] The fifth calculation subunit is used to calculate the adjustment amount of the target photovoltaic module in the vertical and parallel directions caused by the solar altitude angle, based on the solar altitude angle, the slope angle of the target photovoltaic power station terrain, and the adjustment coefficient of the included angle of the target photovoltaic module.

[0205] The sixth calculation subunit is used to calculate the tilt angle of the target photovoltaic modules based on the height difference between the target photovoltaic modules perpendicular to the slope direction, the horizontal distance between the target photovoltaic modules parallel to the slope direction, and the adjustment amount of the target photovoltaic modules in the vertical and horizontal directions caused by the solar altitude angle.

[0206] In some optional implementations, the third correction unit includes:

[0207] The seventh calculation subunit is used to obtain the component spacing adjustment coefficient and calculate the first pile foundation position offset based on the target photovoltaic power station terrain slope angle, solar altitude angle, solar azimuth angle, photovoltaic component size, and the row and column number of the target photovoltaic component in the photovoltaic array; wherein, the first pile foundation position offset is the pile foundation position offset caused by the target photovoltaic component spacing, solar azimuth angle, and solar altitude angle.

[0208] The eighth calculation subunit is used to obtain the terrain adjustment coefficient and the component layout adjustment coefficient, and to calculate the offset of the second pile foundation position based on the terrain slope angle of the target photovoltaic power station, the terrain adjustment coefficient and the component layout adjustment coefficient; wherein, the offset of the second pile foundation position is the offset of the pile foundation position caused by the terrain slope of the target photovoltaic power station.

[0209] The ninth calculation subunit is used to calculate the position coordinates of the pile foundations based on the array starting point coordinates, the offset of the first pile foundation position, and the offset of the second pile foundation position.

[0210] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0211] In this embodiment, the photovoltaic power plant construction optimization system is presented in the form of functional units. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0212] This invention also provides a computer device having the above-described features. Figure 4 The photovoltaic power plant construction optimization device shown is shown.

[0213] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 5 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 5 Take a processor 10 as an example.

[0214] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0215] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0216] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0217] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0218] The computer device also includes an input device 30 and an output device 40. The processor 10, memory 20, input device 30, and output device 40 can be connected via a bus or other means. Figure 5 Taking the example of a connection between China and Israel via a bus.

[0219] Input device 30 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the computer device, such as a touchscreen, keypad, mouse, trackpad, touchpad, joystick, one or more mouse buttons, trackball, joystick, etc. Output device 40 may include display devices, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors). The aforementioned display devices include, but are not limited to, liquid crystal displays, light-emitting diodes, displays, and plasma displays. In some alternative embodiments, the display device may be a touchscreen.

[0220] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0221] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0222] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. An RTK positioning system, characterized in that, The system includes: a positioning device, a computing device, a base station, and a rover station; wherein the base station is connected to the computing device and the rover station respectively, and the positioning device is connected to the computing device; The positioning device is used to acquire target photovoltaic power station terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information, and to send the target photovoltaic power station terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information to the computing device; the target photovoltaic power station terrain information includes the target photovoltaic power station terrain slope angle and the projection of the slope direction vector onto the horizontal plane; the solar position information includes the solar altitude angle and solar azimuth angle; The computing device is used to obtain the projected coordinates of the target direction vector of the target photovoltaic module on a horizontal plane, obtain a geographical environment adjustment coefficient and a module characteristic adjustment coefficient, and calculate a projection coordinate correction amount based on the geographical environment adjustment coefficient, the module characteristic adjustment coefficient, the terrain slope angle of the target photovoltaic power station, the projection amount of the slope direction vector on the horizontal plane, the solar altitude angle, and the solar azimuth angle; calculate the corrected projection coordinates based on the projected coordinates of the target direction vector of the target photovoltaic module on the horizontal plane and the projection coordinate correction amount, calculate the azimuth angle of the target photovoltaic module based on the corrected projection coordinates, and obtain the positional information between the target photovoltaic modules. Based on the target photovoltaic power station terrain information, the solar position information, and the target photovoltaic module physical characteristic information, the position information between the target photovoltaic modules is corrected to obtain the tilt angle of the target photovoltaic modules and the array starting point coordinates. Based on the target photovoltaic power station terrain information, the solar position information, the target photovoltaic module physical characteristic information, and the photovoltaic array layout information, the array starting point coordinates are corrected to obtain the pile foundation position coordinates. Based on the target photovoltaic module azimuth angle, the target photovoltaic module tilt angle, and the pile foundation position coordinates, the optimal construction strategy for the photovoltaic power station is constructed and transmitted to the mobile station through the base station. The mobile station is used to receive the optimal construction strategy for the photovoltaic power station sent by the base station, and to use the optimal construction strategy for the photovoltaic power station for construction assistance.

2. A method for optimizing the construction of a photovoltaic power station, characterized in that, The method, applied to a computing device in the RTK positioning system as described in claim 1, comprises: Acquire target photovoltaic power station topography information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information; the target photovoltaic power station topography information includes the slope angle and the projection of the slope direction vector onto the horizontal plane; the solar position information includes the solar altitude angle and the solar azimuth angle; Obtain the projected coordinates of the target direction vector of the target photovoltaic module on the horizontal plane, and obtain the geographical environment adjustment coefficient and the module characteristic adjustment coefficient; calculate the projection coordinate correction amount based on the geographical environment adjustment coefficient, the module characteristic adjustment coefficient, the terrain slope angle of the target photovoltaic power station, the projection amount of the slope direction vector on the horizontal plane, the solar altitude angle, and the solar azimuth angle; calculate the corrected projection coordinates based on the projected coordinates of the target direction vector of the target photovoltaic module on the horizontal plane and the projection coordinate correction amount; calculate the azimuth angle of the target photovoltaic module based on the corrected projection coordinates; The positional information between target photovoltaic modules is obtained, and the positional information between target photovoltaic modules is corrected based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristic information of the target photovoltaic modules to obtain the tilt angle of the target photovoltaic modules; The coordinates of the array starting point are obtained, and the coordinates of the array starting point are corrected based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic module, and the photovoltaic array layout information to obtain the coordinates of the pile foundation position. The optimal construction strategy for the photovoltaic power station is constructed based on the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the location coordinates of the pile foundation.

3. The method according to claim 2, characterized in that, The target photovoltaic module physical characteristic information includes the target photovoltaic module angle adjustment coefficient and the photovoltaic module size; the step of correcting the positional information between the target photovoltaic modules based on the target photovoltaic power station terrain information, the solar position information, and the target photovoltaic module physical characteristic information to obtain the target photovoltaic module tilt angle includes: Based on the terrain slope angle of the target photovoltaic power station and the position information between the target photovoltaic modules, the height difference between the target photovoltaic modules perpendicular to the slope direction and the horizontal distance between the target photovoltaic modules parallel to the slope direction are calculated respectively. The adjustment amount of the target photovoltaic module in the vertical and parallel directions caused by the solar altitude angle is calculated based on the solar altitude angle, the slope angle of the target photovoltaic power station terrain, and the adjustment coefficient of the included angle of the target photovoltaic module, respectively. The tilt angle of the target photovoltaic modules is calculated based on the height difference between the target photovoltaic modules perpendicular to the slope direction, the horizontal distance between the target photovoltaic modules parallel to the slope direction, and the adjustment amount of the target photovoltaic modules in the vertical and horizontal directions caused by the solar altitude angle.

4. The method according to claim 3, characterized in that, The photovoltaic array layout information includes the row and column numbers of the target photovoltaic modules in the photovoltaic array; based on the target photovoltaic power station terrain information, the solar position information, the physical characteristic information of the target photovoltaic modules, and the photovoltaic array layout information, the coordinates of the array starting point are corrected to obtain the pile foundation position coordinates, including: Obtain the component spacing adjustment coefficient, and calculate the first pile foundation position offset based on the target photovoltaic power station terrain slope angle, the solar altitude angle, the solar azimuth angle, the photovoltaic module size, and the row and column numbers of the target photovoltaic module in the photovoltaic array; wherein, the first pile foundation position offset is the pile foundation position offset caused by the target photovoltaic module spacing, the solar azimuth angle, and the solar altitude angle; Obtain the terrain adjustment coefficient and the component layout adjustment coefficient, and calculate the offset of the second pile foundation position based on the terrain slope angle of the target photovoltaic power station, the terrain adjustment coefficient, and the component layout adjustment coefficient; wherein, the offset of the second pile foundation position is the offset of the pile foundation position caused by the terrain slope of the target photovoltaic power station; The position coordinates of the pile foundation are calculated based on the coordinates of the array starting point, the offset of the first pile foundation position, and the offset of the second pile foundation position.

5. A photovoltaic power plant construction optimization system, characterized in that, The system includes: The acquisition module is used to acquire the target photovoltaic power station's terrain information, solar position information, target photovoltaic module physical characteristic information, and photovoltaic array layout information; the target photovoltaic power station's terrain information includes the target photovoltaic power station's terrain slope angle and the projection of the slope direction vector onto the horizontal plane; the solar position information includes the solar altitude angle and solar azimuth angle; The calculation module is used to obtain the projected coordinates of the target direction vector of the target photovoltaic module on the horizontal plane, obtain the geographical environment adjustment coefficient and the module characteristic adjustment coefficient, and calculate the projection coordinate correction amount based on the geographical environment adjustment coefficient, the module characteristic adjustment coefficient, the terrain slope angle of the target photovoltaic power station, the projection amount of the slope direction vector on the horizontal plane, the solar altitude angle, and the solar azimuth angle; calculate the corrected projection coordinates based on the projected coordinates of the target direction vector of the target photovoltaic module on the horizontal plane and the projection coordinate correction amount, calculate the azimuth angle of the target photovoltaic module based on the corrected projection coordinates, obtain the position information between the target photovoltaic modules, correct the position information between the target photovoltaic modules based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristic information of the target photovoltaic modules to obtain the tilt angle of the target photovoltaic modules, obtain the array starting point coordinates, and correct the array starting point coordinates based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic modules, and the photovoltaic array layout information to obtain the pile foundation position coordinates; The module is used to construct the optimal construction strategy for the photovoltaic power station based on the azimuth angle of the target photovoltaic module, the tilt angle of the target photovoltaic module, and the location coordinates of the pile foundation.

6. A computer device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the photovoltaic power plant construction optimization method as described in any one of claims 2 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the photovoltaic power plant construction optimization method according to any one of claims 2 to 4.

8. A computer program product, characterized in that, It includes computer instructions, which are used to cause a computer to execute the photovoltaic power plant construction optimization method according to any one of claims 2 to 4.

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