RTK positioning system and photovoltaic power station construction optimization method and system

Abstract

The invention relates to the technical field of photovoltaic power station construction, and discloses an RTK positioning system and a photovoltaic power station construction optimization method and system.The RTK positioning system comprises a positioning device used for sending terrain information of a target photovoltaic power station, sun position information, physical characteristic information of a target photovoltaic module and photovoltaic array layout information to a computing device; the calculating device is used for calculating the azimuth angle of the target photovoltaic module, the inclination angle of the target photovoltaic module and the position coordinates of the pile foundation based on the topographic information of the target photovoltaic power station, the sun position information, the physical characteristic information of the target photovoltaic module and the photovoltaic array layout information; based on the azimuth angle of the target photovoltaic module, the inclination angle of the target photovoltaic module and the position coordinates of the pile foundation, constructing an optimal construction strategy of the photovoltaic power station; and the mobile station is used for carrying out construction assistance by utilizing the optimal construction strategy of the photovoltaic power station. The construction quality and the power generation efficiency of the photovoltaic power station are improved, and stable operation of the power station is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of photovoltaic power station construction, and particularly relates to an RTK positioning system, a photovoltaic power station construction optimization method and system. BACKGROUND

[0002] With the increasing demand for clean energy, photovoltaic power stations, as an important renewable energy power generation method, have been continuously expanded in construction scale. Meanwhile, in the construction process of photovoltaic power stations, many challenges still exist.

[0003] In the construction process of photovoltaic power stations, the setting of photovoltaic modules does not fully consider the dynamic changes of terrain slope and solar position and the rationality of photovoltaic array layout, resulting in reduced power generation efficiency of photovoltaic power stations. SUMMARY

[0004] Therefore, the present application provides a photovoltaic power station construction optimization method and device to solve the problem that the setting of photovoltaic modules does not fully consider the dynamic changes of terrain slope and solar position and the rationality of photovoltaic array layout, resulting in reduced power generation efficiency of photovoltaic power stations.

[0005] In a first aspect, the present application provides an RTK positioning system, which comprises a positioning device, a computing device, a reference station and a mobile station; wherein the reference station is connected with the computing device and the mobile station respectively, and the positioning device is connected with the computing device.

[0006] The positioning device is configured to acquire target photovoltaic power station terrain information, solar position information, target photovoltaic module physical property information and photovoltaic array layout information, and send the target photovoltaic power station terrain information, the solar position information, the target photovoltaic module physical property information and the photovoltaic array layout information to the computing device.

[0007] The computing device is configured to calculate a target photovoltaic module azimuth angle, a target photovoltaic module inclination angle and a pile foundation position coordinate based on the target photovoltaic power station terrain information, the solar position information, the target photovoltaic module physical property information and the photovoltaic array layout information respectively, and construct an optimal photovoltaic power station construction strategy based on the target photovoltaic module azimuth angle, the target photovoltaic module inclination angle and the pile foundation position coordinate, and send the optimal photovoltaic power station construction strategy to the mobile station through the reference station.

[0008] The mobile station is configured to receive the optimal photovoltaic power station construction strategy sent by the reference station, and utilize the optimal photovoltaic power station construction strategy for construction assistance.

[0009] In a second aspect, the present application provides a photovoltaic power station construction optimization method applied to the computing device in the RTK positioning system, which comprises the following steps.

[0010] acquire terrain information of a target photovoltaic power station, solar position information, physical characteristic information of a target photovoltaic component, and photovoltaic array layout information;

[0011] calculate a target photovoltaic component azimuth angle, a target photovoltaic component tilt angle, and a pile foundation position coordinate based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic component, and the photovoltaic array layout information, respectively;

[0012] construct an optimal construction strategy for the photovoltaic power station based on the target photovoltaic component azimuth angle, the target photovoltaic component tilt angle, and the pile foundation position coordinate.

[0013] The photovoltaic power station construction optimization method provided in this embodiment acquires terrain information of a target photovoltaic power station, solar position information, physical characteristic information of a target photovoltaic component, and photovoltaic array layout information, calculates a target photovoltaic component azimuth angle, a target photovoltaic component tilt angle, and a pile foundation position coordinate based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic component, and the photovoltaic array layout information, respectively, and constructs an optimal construction strategy for the photovoltaic power station based on the target photovoltaic component azimuth angle, the target photovoltaic component tilt angle, and the pile foundation position coordinate, thereby improving the construction quality and power generation efficiency of the photovoltaic power station, ensuring stable operation of the power station, and providing strong technical support for efficient construction of the photovoltaic power station.

[0014] In an alternative implementation, calculating a target photovoltaic component azimuth angle, a target photovoltaic component tilt angle, and a pile foundation position coordinate based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic component, and the photovoltaic array layout information, respectively, includes:

[0015] acquire a projection coordinate of a target direction vector of a target photovoltaic component orientation on a horizontal plane, correct the projection coordinate of the target direction vector of the target photovoltaic component orientation on the horizontal plane based on the terrain information of the target photovoltaic power station and the solar position information, and obtain a target photovoltaic component azimuth angle;

[0016] acquire position information between target photovoltaic components, correct the position information between the target photovoltaic components based on the terrain information of the target photovoltaic power station, the solar position information, and the physical characteristic information of the target photovoltaic component, and obtain a target photovoltaic component tilt angle;

[0017] acquire an array starting point coordinate, correct the array starting point coordinate based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic component, and the photovoltaic array layout information, and obtain a pile foundation position coordinate.

[0018] The photovoltaic power station construction optimization method provided in the embodiment, by acquiring the position information between the target photovoltaic components, correcting the position information between the target photovoltaic components based on the target photovoltaic power station terrain information, the sun position information and the target photovoltaic component physical characteristic information, comprehensively considering the influence of the slope and the sun-related angle on the azimuth angle of the target photovoltaic component, the calculation of the azimuth angle of the target photovoltaic component is more in line with the actual lighting demand, so that the target photovoltaic component receives sunlight at a more optimal angle, by acquiring the position information between the target photovoltaic components, correcting the position information between the target photovoltaic components based on the target photovoltaic power station terrain information, the sun position information and the target photovoltaic component physical characteristic information, combining the slope and the sun elevation angle and other factors to calculate the tilt angle of the target photovoltaic component, so that the target photovoltaic component can better receive sunlight, thereby improving the power generation efficiency.

[0019] In an optional implementation, the target photovoltaic power station terrain information includes a target photovoltaic power station terrain slope angle and a projection amount of a slope direction vector on a horizontal plane; the sun position information includes a sun elevation angle and a sun azimuth angle; the projection coordinates of a target direction vector of a target photovoltaic component orientation on a horizontal plane are corrected based on the target photovoltaic power station terrain information and the sun position information to obtain a target photovoltaic component azimuth angle, including:

[0020] A geographical environment adjustment coefficient and a component characteristic adjustment coefficient are acquired, and a projection coordinate correction amount is calculated based on the geographical environment adjustment coefficient, the component characteristic adjustment coefficient, the target photovoltaic power station terrain slope angle, the projection amount of the slope direction vector on the horizontal plane, the sun elevation angle and the sun azimuth angle;

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

[0022] The target photovoltaic component azimuth angle is calculated based on the corrected projection coordinates.

[0023] The photovoltaic power station construction optimization method provided in the embodiment, based on the geographical environment adjustment coefficient, the component characteristic adjustment coefficient, the target photovoltaic power station terrain slope angle, the projection amount of the slope direction vector on the horizontal plane, the sun elevation angle and the sun azimuth angle to calculate the projection coordinate correction amount, accurately reflects the influence of the terrain and the sun position on the target photovoltaic component, improves the accuracy of the photovoltaic power station design, energy efficiency evaluation and the like, by calculating the corrected projection coordinates based on the projection coordinates of the target direction vector of the target photovoltaic component orientation on the horizontal plane and the projection coordinate correction amount, and calculating the target photovoltaic component azimuth angle based on the corrected projection coordinates, the target photovoltaic component azimuth angle value is accurately corrected, and the scientificity and accuracy of the target photovoltaic component daylighting efficiency evaluation and the target photovoltaic power station layout design are improved.

[0024] In an alternative embodiment, the target photovoltaic component physical property information includes a target photovoltaic component included angle adjustment coefficient and a photovoltaic component size; the position information between the target photovoltaic components is corrected based on the target photovoltaic power station terrain information, the sun position information, and the target photovoltaic component physical property information, to obtain a target photovoltaic component inclination angle, including:

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

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

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

[0028] The photovoltaic power station construction optimization method provided in the embodiment accurately quantifies the relative spatial relationship of the target photovoltaic components in the slope environment, guarantees the rationality of the target photovoltaic power station design, accurately quantifies the influence of the solar elevation angle on the spatial posture of the target photovoltaic components, provides an accurate basis for optimizing the target photovoltaic component inclination angle and improving the light receiving efficiency, and accurately determines the target photovoltaic component inclination angle that adapts to the terrain and the sun position, thereby improving the light utilization rate of the target photovoltaic components.

[0029] In an alternative embodiment, the photovoltaic array layout information includes a row number and a column number of the target photovoltaic component in the photovoltaic array; the array starting point coordinates are corrected based on the target photovoltaic power station terrain information, the sun position information, the target photovoltaic component physical property information, and the photovoltaic array layout information, to obtain pile foundation position coordinates, including:

[0030] The acquisition component distance adjustment coefficient is obtained, the first pile foundation position offset is calculated based on the target photovoltaic power station terrain slope angle, the solar elevation angle, the solar azimuth angle, the photovoltaic component size and the row number and the column number of the target photovoltaic component in the photovoltaic array, wherein the first pile foundation position offset is a pile foundation position offset caused by the target photovoltaic component distance, the solar azimuth angle and the solar elevation angle;

[0031] The terrain adjustment coefficient and the component layout adjustment coefficient are obtained, and the second pile foundation position offset is calculated based on the target photovoltaic power station terrain slope angle, the terrain adjustment coefficient and the component layout adjustment coefficient, wherein the second pile foundation position offset is a pile foundation position offset caused by the target photovoltaic power station terrain slope;

[0032] The pile foundation position coordinate is calculated based on the array starting point coordinate, the first pile foundation position offset and the second pile foundation position offset.

[0033] The photovoltaic power station construction optimization method provided in the embodiment is used for calculating the first pile foundation position offset based on the target photovoltaic power station terrain slope angle, the solar elevation angle, the solar azimuth angle, the photovoltaic component size and the row number and the column number of the target photovoltaic component in the photovoltaic array, accurately quantifying the position offset of the target photovoltaic component under the complex terrain, the illumination condition and the photovoltaic array layout information, providing a data basis for correcting the pile foundation position coordinate, calculating the second pile foundation position offset based on the target photovoltaic power station terrain slope angle, the terrain adjustment coefficient and the component layout adjustment coefficient, accurately quantifying the influence of the terrain slope and the component layout on the position of the target photovoltaic component, and accurately positioning the pile foundation position coordinate based on the array starting point coordinate, the first pile foundation position offset and the second pile foundation position offset, ensuring that the pile foundation position coordinate matches the photovoltaic component layout, guaranteeing the stability of the target photovoltaic component installation and improving the accuracy and the construction efficiency of the target photovoltaic power station construction.

[0034] In a third aspect, the present application provides a photovoltaic power station construction optimization system, which comprises:

[0035] An acquisition module is configured to acquire target photovoltaic power station terrain information, solar position information, target photovoltaic component physical characteristic information and photovoltaic array layout information;

[0036] A calculation module is configured to calculate 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, respectively;

[0037] A construction module is configured to construct an optimal photovoltaic power station construction strategy based on the target photovoltaic component azimuth angle, the target photovoltaic component inclination angle and the pile foundation position coordinate.

[0038] In a fourth aspect, the present application provides a computer device, comprising a memory and a processor, which are connected to each other in communication, the memory stores computer instructions, and the processor executes the photovoltaic power station construction optimization method of the second aspect or any of the corresponding embodiments thereof by executing the computer instructions.

[0039] In a fifth aspect, the present application provides a computer readable storage medium, which stores computer instructions for making a computer execute the photovoltaic power station construction optimization method of the second aspect or any of the corresponding embodiments thereof.

[0040] In a sixth aspect, the present application provides a computer program product, which comprises computer instructions for making a computer execute the photovoltaic power station construction optimization method of the second aspect or any of the corresponding embodiments thereof. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

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

[0043] Figure 2 is a flowchart of a photovoltaic power station construction optimization method according to an embodiment of the present application;

[0044] Figure 3 is a flowchart of another photovoltaic power station construction optimization method according to an embodiment of the present application;

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

[0046] Figure 5 is a hardware structure schematic diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0048] With the increasing demand for clean energy, photovoltaic power stations, as an important renewable energy power generation method, have been expanding in construction scale. However, the related construction methods still face many challenges in the construction process of photovoltaic power stations.

[0049] The related photovoltaic module support positioning method often relies on manual measurement and simple measuring tools (such as a tape measure, theodolite, etc.), which is not only low in efficiency, but also difficult to guarantee high accuracy of support positioning due to the error of manual operation and the limitation of measuring tool accuracy. For example, in a large photovoltaic power station project, a large number of photovoltaic module supports need to be installed, and it takes a long time to manually measure the position of each support. In addition, due to the difference in operation of the measurement personnel, the positioning accuracy of the supports at different positions is uneven, which may lead to uneven installation of photovoltaic modules, affecting the overall power generation efficiency of the photovoltaic power station.

[0050] For photovoltaic module position determination, the related method is mostly based on construction drawings and experience for on-site comparison and adjustment. However, the construction site environment is complex, and factors such as terrain undulations and obstacles may make it difficult for construction personnel to accurately correspond the design position on the drawings with the actual construction site, easily causing the photovoltaic module installation position 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 terms of target photovoltaic module azimuth and target photovoltaic module inclination determination, simple angle measuring instruments are usually used, resulting in limited measurement accuracy. In actual operation, due to the interference of external environmental factors (such as wind, terrain, etc.), the accuracy of the measurement results is difficult to guarantee. Azimuth and inclination are crucial for the lighting efficiency of photovoltaic modules. Inaccurate angle settings will make photovoltaic modules unable to fully receive sunlight radiation, greatly reducing the power generation efficiency.

[0052] In the construction process of photovoltaic power stations, the calculation of photovoltaic module azimuth, inclination and pile foundation position coordinates often uses a relatively simple method, without fully considering the dynamic changes of terrain slope and solar position and the rationality of photovoltaic array layout, which may cause photovoltaic modules to be unable to receive sunlight at the optimal angle, the pile foundation position to be unable to stably support the modules, and even the problem of shadow shielding between modules, thereby reducing the power generation efficiency and affecting the long-term stable operation of the power station.

[0053] In summary, the related photovoltaic power station construction technology has the disadvantages of low precision, low efficiency, and great influence of environment in photovoltaic module support positioning, photovoltaic module position determination, azimuth angle determination, and inclination angle determination, which seriously restricts the quality and efficiency of photovoltaic power station construction, and a new method is urgently needed to solve the above problems.

[0054] To solve the above technical problems, the embodiment of the present application provides a photovoltaic power station construction optimization method, which utilizes the characteristics of the RTK positioning system that can accurately obtain the target photovoltaic power station terrain information and the sun position information, combines the target photovoltaic module physical characteristic information and the photovoltaic array layout information, improves the calculation method of the related photovoltaic module azimuth angle, inclination angle, and pile foundation position coordinates, introduces various parameters closely related to the actual situation, and constructs a rigorous mathematical relationship, so that the calculation results of the target photovoltaic module azimuth angle, the target photovoltaic module inclination angle, and the pile foundation position coordinates can more accurately reflect various complex situations in the actual construction of the photovoltaic power station. Through comprehensive consideration of the above factors, the accurate calculation of the target photovoltaic module azimuth angle, inclination angle, and pile foundation position coordinates is realized, the technical difficulties of how to make the photovoltaic module receive sunlight to the maximum extent and the pile foundation can stably support the module under complex terrain and lighting conditions while avoiding the shadow shielding between modules are solved, the construction quality and power generation efficiency of the photovoltaic power station are improved, the stable operation of the power station is ensured, and strong technical support is provided for the efficient construction of the photovoltaic power station.

[0055] The embodiment provides an RTK (Real-Time Kinematic, real-time dynamic differential positioning technology) positioning system, as shown in the figure, the system comprises a positioning device 101, a calculation device 102, a reference station 103 and a mobile station 104; wherein the reference station 103 is connected with the calculation device 102 and the mobile station 104 respectively, and the positioning device 101 is connected with the calculation device 102. Figure 1 The positioning device 101 is used for acquiring the target photovoltaic power station terrain information, the sun position information, the target photovoltaic module physical characteristic information and the photovoltaic array layout information, and sending the target photovoltaic power station terrain information, the sun position information, the target photovoltaic module physical characteristic information and the photovoltaic array layout information to the calculation device 102.

[0056] The calculation device 102 is used for calculating the target photovoltaic module azimuth angle, the target photovoltaic module inclination angle and the pile foundation position coordinates based on the target photovoltaic power station terrain information, the sun position information, the target photovoltaic module physical characteristic information and the photovoltaic array layout information respectively, and constructing the optimal construction strategy of the photovoltaic power station based on the target photovoltaic module azimuth angle, the target photovoltaic module inclination angle and the pile foundation position coordinates, and sending the optimal construction strategy of the photovoltaic power station to the mobile station 104 through the reference station 103.

[0057] The calculation device 102 is used for calculating the target photovoltaic module azimuth angle, the target photovoltaic module inclination angle and the pile foundation position coordinates based on the target photovoltaic power station terrain information, the sun position information, the target photovoltaic module physical characteristic information and the photovoltaic array layout information respectively, and constructing the optimal construction strategy of the photovoltaic power station based on the target photovoltaic module azimuth angle, the target photovoltaic module inclination angle and the pile foundation position coordinates, and sending the optimal construction strategy of the photovoltaic power station to the mobile station 104 through the reference station 103.

[0058] Specifically, the target photovoltaic power station terrain information, the sun position information, the target photovoltaic component physical characteristic information and the photovoltaic array layout information are obtained by the positioning device 101 and sent to the computing device 102, the target photovoltaic component azimuth angle, the target photovoltaic component inclination angle and the pile foundation position coordinate are calculated by the computing device 102, and the optimal construction strategy of the photovoltaic power station is constructed based on the target photovoltaic component azimuth angle, the target photovoltaic component inclination angle and the pile foundation position coordinate, and the optimal construction strategy of the photovoltaic power station is sent to the reference station 103.

[0059] The mobile station 104 is used for receiving the optimal construction strategy of the photovoltaic power station sent by the reference station 103, and assisting construction based on the optimal construction strategy of the photovoltaic power station.

[0060] Specifically, the reference station 103 is set up at a position with high terrain, wide field of view and good satellite signal reception in the photovoltaic power station construction site, and is equipped with a high-precision GNSS (Global Navigation Satellite System) receiver to receive satellite signals and connect with external networks through a wireless network module to transmit the calculated error correction data to the mobile station 104.

[0061] Further, the reference 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 receiving capability, can stably receive signals from different satellite systems, the antenna is a high-performance omnidirectional antenna installed on the top of the reference station to ensure receiving satellite signals in all directions without obstruction, the power module provides stable power supply for the entire reference station, and can use mains power supply or be equipped with a large-capacity rechargeable battery to cope with different power conditions in the construction site, and the communication module selects a device supporting 4G (4th Generation Mobile Communication Technology) / 5G (5th Generation Mobile Communication Technology) high-speed wireless network communication to transmit the calculated error correction data to the mobile station 104. The reference station 103 receives satellite signals through the GNSS receiver and calculates satellite signal error correction data by using the built-in algorithm. The core function of the reference station 103 is to provide accurate error correction information for the mobile station 104 to ensure that the mobile station 104 can achieve centimeter-level high-precision positioning.

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

[0063] Further, the reference station 103 is selected to be set at a high point on the construction site, which can effectively reduce signal shielding and improve satellite signal reception quality, thereby improving the positioning accuracy of the entire RTK positioning system and ensuring accurate measurement of the position of the construction equipment. In some complex terrain or signal interference construction sites, multiple reference stations can be considered to be added to further improve the positioning accuracy by using differential positioning technology. At the same time, the equipment of the reference station is regularly checked and maintained to ensure its normal operation and the accuracy of the error correction data.

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

[0065] Further, after receiving the correction data from the reference station, the mobile station 104 corrects the satellite signals it receives in real time to achieve centimeter-level high-precision positioning and transmits the positioning data to other modules to support the precise positioning of the construction equipment. The mobile station 104 corrects the satellite signals it receives by receiving error correction data from the reference station to eliminate 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 with buildings and trees blocking, ensuring that the 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 the data processing speed and accuracy to adapt to rapidly changing construction scenarios.

[0066] Further, taking the construction of a mountain photovoltaic power station as an example, the reference station 103 is arranged on a mountain top, which can effectively avoid signal shielding and ensure stable signal transmission. As for the mobile station 104, the construction personnel carries the integrated RTK device during the installation of the support and the component, and also is equipped with a GNSS receiver to receive satellite signals and error correction data of the reference station 103, to obtain real-time accurate self-position information, and the accuracy can reach centimeter level. Therefore, during the installation of the support, the construction personnel can quickly and accurately place the support to the designated position according to the accurate position information displayed by the mobile station, greatly improve the installation accuracy, and solve the problem of low measurement positioning accuracy.

[0067] According to the embodiment of the present application, a photovoltaic power station construction optimization method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0068] In the present embodiment, a photovoltaic power station construction optimization method is provided, which can be used in the above-mentioned computing device, Figure 2 is a flowchart of the photovoltaic power station construction optimization according to the embodiment of the present application, as Figure 2 shown, the flowchart includes the following steps:

[0069] In step S201, the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic component, and the photovoltaic array layout information are obtained.

[0070] Specifically, the terrain information of the target photovoltaic power station includes the projection amount of the terrain slope angle and the slope direction vector of the target photovoltaic power station on the horizontal plane; the solar position information includes the solar elevation angle and the solar azimuth angle; the physical characteristic information of the target photovoltaic component includes the target photovoltaic component included angle adjustment coefficient and the photovoltaic component size; and the photovoltaic array layout information includes the row number and the column number of the target photovoltaic component in the photovoltaic array.

[0071] In step S202, the target photovoltaic component azimuth angle, the target photovoltaic component inclination angle, and the pile foundation position coordinates are calculated based on the terrain information of the target photovoltaic power station, the solar position information, the physical characteristic information of the target photovoltaic component, and the photovoltaic array layout information.

[0072] In step S203, the optimal construction strategy of the photovoltaic power station is constructed based on the target photovoltaic component azimuth angle, the target photovoltaic component inclination angle, and the pile foundation position coordinates.

[0073] Specifically, the target photovoltaic component support coordinate position includes the horizontal and vertical coordinates of the target photovoltaic component support on the plane to determine the specific position of the target photovoltaic component support in the photovoltaic power station, which needs to reach a centimeter-level accuracy to ensure the accuracy of the installation of the target photovoltaic component support and avoid subsequent installation disorder of the target photovoltaic component due to position deviation.

[0074] Further, the target photovoltaic component plane position information includes a plane position parameter and a relative position parameter with the surrounding environment. The plane position parameter is the specific plane position of the target photovoltaic component on the support determined according to the construction drawings. Considering that there may be factors such as terrain undulations and obstacles on the construction site, it is necessary to accurately correspond the design position with the actual site to avoid deviation of the installation position from the design requirements. The relative position relationship of the target photovoltaic component with surrounding buildings, topography, and other facilities is determined to ensure that the light collection of the target photovoltaic component is not blocked and meet the safety distance requirements.

[0075] Further, the AR intelligent construction auxiliary device is used to realize the optimal construction strategy of the photovoltaic power station. Before construction, the detailed three-dimensional design model of the photovoltaic power station is imported into the AR intelligent construction auxiliary device. The three-dimensional design model contains the accurate position, size, and connection relationship of key equipment such as the target photovoltaic component support and the target photovoltaic component. At the same time, the AR intelligent construction auxiliary device is connected with the RTK high-precision positioning system through a data interface to realize real-time data fusion of the AR intelligent construction auxiliary device and the RTK positioning system. The virtual model position displayed by the AR intelligent construction auxiliary device accurately corresponds to the actual position of the construction site. When the construction personnel wear the AR intelligent construction auxiliary device for work, the built-in camera in the AR intelligent construction auxiliary device can capture the construction site picture in real time. Based on computer vision technology, the virtual support and component installation position are intuitively superimposed and displayed in the real-time picture. According to the preset construction guidance scheme, detailed installation step guidance is provided in the form of voice or text prompts. For example, when installing the target photovoltaic component, the AR intelligent construction auxiliary device can clearly display the component installation position, angle, and direction information to avoid installation errors caused by understanding deviation or operation mistakes of the construction personnel, effectively solving the problem that the construction personnel cannot accurately correspond the design drawings with the actual construction site, and improving the construction accuracy and efficiency.

[0076] Further, the AR intelligent construction auxiliary device is usually a head-mounted device or a handheld terminal, which is built-in with a high-performance processor, a memory, a camera, and a display module. The processor is responsible for processing various data and running AR application programs. The memory is used to store the three-dimensional design model of the photovoltaic power station and related construction guidance information. The camera is used to capture the site environment picture. The display module uses a high-resolution display screen to superimpose and display virtual information and real scenes to the construction personnel.

[0077] Further, the three-dimensional design model of the photovoltaic power station is imported into the device and fused with the RTK positioning data to provide a basis for subsequent virtual information superposition and construction guidance. Through specific software algorithms, the coordinate information in the three-dimensional design model is matched and calibrated with the actual position information in the RTK positioning data, so that the virtual model can accurately correspond to the actual position of the construction site. The accurate model import and fusion ensure the real-time matching of virtual information and the site environment, and the virtual installation position seen by the construction personnel is highly consistent with the actual construction site, improving the accuracy of construction guidance. Before importing the model, the model is processed to reduce the data volume and improve the running speed and response efficiency of the device. At the same time, the model data is updated regularly to ensure consistency with the latest design scheme.

[0078] Further, based on the hardware architecture of the AR intelligent construction auxiliary device, the camera captures the on-site environment image, determines the scene feature points through image recognition technology, and combines the fused three-dimensional design model and RTK positioning data to superimpose the virtual support, component installation position and other information onto the real-time picture, providing intuitive virtual installation information combined with the real scene for the construction personnel, so that they can clearly see the relationship between the installation position and the site environment. Image recognition technology identifies feature points in the on-site environment as a reference basis for virtual information superposition. By calculating the spatial position relationship between the virtual model and the real scene, the virtual information is accurately superimposed into the picture captured by the camera. The construction personnel no longer need to understand the installation position through complex drawings or imagination, but can directly see the combination of virtual and reality through the AR intelligent construction auxiliary device, greatly reducing the construction difficulty and improving the construction precision. Advanced image recognition algorithms are used to improve recognition speed and accuracy, especially in complex lighting conditions or when there are many interference objects in the construction site. According to different construction scenes and needs, the display mode of virtual information such as color and transparency can be adjusted to enhance the display effect. In the software system of the AR intelligent construction auxiliary device, detailed construction guidance schemes are pre-set, including text description, animation demonstration and voice prompt function modules. The text description describes each construction step in detail, the animation demonstration shows the construction process in a dynamic way, and the voice prompt reminds the construction personnel in time at key steps or error-prone links. According to the pre-set construction guidance scheme, real-time and accurate installation guidance is provided for the construction personnel to ensure that the construction process meets the specification and design requirements.

[0079] Further, according to the construction specification and design requirements of the photovoltaic power station, the construction process is divided into detailed steps and converted into a visual and interactive form, which is presented to the construction personnel through AR intelligent construction assistance equipment. This full- range construction guidance method meets the learning and operation habits of different construction personnel, effectively reduces installation errors caused by human understanding bias or operation errors, improves construction quality and efficiency, and continuously optimizes the construction guidance scheme according to actual construction feedback, updates the text description, animation demonstration and voice prompt content, so that it is more suitable for actual construction conditions. At the same time, the user feedback function is added, and the construction personnel can timely put forward questions and suggestions to further improve the construction guidance scheme.

[0080] Further, a real-time data transmission module is provided, high-precision sensors are installed at key positions in the construction site and construction equipment, RTK positioning data, support and component installation parameters, construction progress information and other construction-related data are collected, and the data is transmitted through a wireless network module using 4G or 5G communication technology. Data encryption and verification techniques are used to ensure the stability and reliability of data transmission. For example, after the construction personnel complete the installation of a support, the relevant installation position data, bolt tightening degree data, etc. are immediately transmitted to the integrated application service platform, realizing real-time collection and transmission of construction data and providing data support for subsequent construction management.

[0081] Further, sensors are installed at various key positions in the construction site and construction equipment to collect various construction-related data, including RTK positioning data, support and component installation parameters (such as bolt tightening force, component inclination angle, etc.), construction progress information (completed work amount, estimated completion time, etc.). The above sensors have high-precision data collection capabilities and can ensure that the collected data accurately reflects the actual situation of the construction site. The collected data is transmitted through a wireless network module. The wireless network module uses 4G or 5G communication technology to ensure high bandwidth and low latency of data transmission. In order to ensure the stability and reliability of data transmission, data encryption and verification techniques are used to prevent data loss or errors during transmission. For example, when the construction personnel complete the installation of a support, the relevant installation position data, bolt tightening degree data, etc. are immediately transmitted to the integrated application service platform through the wireless network.

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

[0083] Further, the real-time and high-speed transmission of construction site data to the integrated application service platform is realized, the timeliness and integrity of the data are ensured, the high bandwidth and low delay characteristics of 4G / 5G wireless network are utilized, the construction data is digitally encoded and then transmitted to the base station through wireless signals, and then the base station forwards the data to the integrated application service platform. The high-bandwidth 4G / 5G communication technology can meet the rapid transmission demand of a large amount of construction data, and the low delay ensures the real-time nature of the data, so that the management personnel can obtain the latest information of the construction site in time. In the construction site where the signal is weak, the coverage range and strength of the wireless signal can be enhanced by increasing signal relay equipment such as wireless signal amplifiers or small base stations, to ensure the stability of data transmission. At the same time, data encryption technology is adopted to protect the security of the transmitted data and prevent data leakage or tampering.

[0084] Further, the integrated application service platform is constructed, the platform receives the real-time transmitted data of the construction site through the network interface, and the massive data is quickly analyzed and processed by using efficient data processing algorithms, such as analyzing the RTK positioning data to determine whether the construction position meets the design requirements, and statistically analyzing the installation parameter data to evaluate whether the construction quality meets the standard. The platform presents the processed data to the management personnel in a visual manner, such as generating construction progress charts and error analysis reports, and the management personnel can quickly view and analyze the data through the friendly user interface of the platform, and real-time monitor the construction progress, so as to timely adjust the construction scheme and allocate resources when problems such as construction progress lag are found, to ensure the construction precision and efficiency.

[0085] Further, the integrated application service platform receives the real-time transmitted data from the construction site through the network interface, and quickly analyzes and processes the massive data by using efficient data processing algorithms, such as analyzing the RTK positioning data to determine whether the construction position meets the design requirements, and statistically analyzing the installation parameter data to evaluate whether the construction quality meets the standard. At the same time, the platform will store the data in a classified manner, which is convenient for subsequent query and calling. The integrated application service platform presents the processed data to the management personnel in a visual manner, such as generating construction progress charts to represent the progress of each construction area with different colors and icons, and generating error analysis reports to intuitively display the position deviation and angle deviation information occurring in the construction process. The management personnel can quickly view and analyze these data through the friendly user interface provided by the platform, and real-time monitor the construction progress, such as timely adjusting the construction scheme and allocating resources when the construction progress of a certain area lags behind, to ensure the construction precision and efficiency.

[0086] Further, the data processing part of the integrated application service platform is composed of high-performance servers, data storage devices, and data analysis software. The server is responsible for receiving and processing a large amount of data from the construction site, with strong computing power and data processing speed. The data storage device is used for long-term storage of construction data, which can use large-capacity hard disk arrays or cloud storage services. The data analysis software is based on specific algorithms to analyze and process the received data, generating construction progress reports, error feedback, and other information.

[0087] Further, the real-time transmission of construction data is analyzed and processed to convert into intuitive and guiding information for construction management, helping managers make decisions. Through pre-set data analysis algorithms, construction data is mined and analyzed, such as comparing positioning data with design positions to calculate installation errors and generating construction progress reports based on construction progress information. Efficient data analysis algorithms can quickly and accurately process large amounts of construction data, providing timely and accurate construction information for managers, 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. At the same time, data is backed up and cleaned regularly to ensure the effective space of data storage devices and the security of data.

[0088] Further, the data receiving module of the integrated application service platform uses high-performance network interfaces and data buffering mechanisms to ensure stable reception of a large amount of real-time data from the construction site. The data processing module is composed of a series of data analysis, calculation, and analysis programs that can classify and process different types of data and generate visual construction progress charts and error analysis reports. The data storage module uses a distributed storage architecture to ensure data security and scalability.

[0089] Further, the integrated application service platform efficiently receives real-time data from the construction site, accurately processes and analyzes the data, and provides data support for construction management. The platform receives data through a network protocol stack, converts the received binary data into meaningful information using a data parsing program, and generates various reports and charts required for construction management through calculation and analysis algorithms. The high-reliability communication protocol and data processing mechanism ensure the integrity and real-time nature of the data. The visual construction progress chart and error analysis report provide intuitive and clear construction information for managers, facilitating their decision-making. The platform uses load balancing technology to evenly distribute data reception and processing tasks across multiple servers, improving the platform's processing capacity and response speed. In addition, a data backup and recovery mechanism is established to prevent data loss due to hardware failure or other reasons. The real-time monitoring interface of the platform is designed with intuitive graphics, allowing managers to log in through terminals such as computers, tablets, or mobile phones to view real-time data such as construction progress, equipment location, and error information. The optimization decision module provides suggestions for optimizing construction plans based on data analysis results, such as adjusting the construction sequence, increasing or reducing construction resources, etc.

[0090] Further, the integrated application service platform helps managers to real-time grasp the construction progress, optimize the construction plan according to the actual situation, and ensure the construction precision and efficiency. Through real-time data display, managers can intuitively understand the construction status. The optimization decision module uses data analysis algorithms and pre-set optimization rules to evaluate construction data and generate optimization suggestions. The friendly user interface allows managers to quickly obtain the required information. Data-based optimization decision improves the scientificity and accuracy of construction management, effectively improves construction efficiency and quality. By introducing artificial intelligence and machine learning technology, historical construction data and real-time data are deeply analyzed to continuously optimize the recommendation algorithm of the construction plan, providing more accurate and personalized optimization suggestions. At the same time, integration with other construction management systems is strengthened to achieve data sharing and collaborative work, improving the overall construction management level.

[0091] The photovoltaic power station construction optimization method provided by the embodiment improves the construction quality and power generation efficiency of the photovoltaic power station, ensures the stable operation of the power station, and provides strong technical support for the efficient construction of the photovoltaic power station.

[0092] The application provides a photovoltaic power station construction optimization method, which can be used for the above computing device, Figure 3 is a flowchart of the photovoltaic power station construction optimization method according to an embodiment of the application, as shown in the figure, the flowchart comprises the following steps: Figure 3

[0093] Step S301: acquiring target photovoltaic power station terrain information, solar position information, target photovoltaic component physical characteristic information and photovoltaic array layout information. For details, refer to step S201 of the embodiment shown in the figure, which will not be repeated here. Figure 2

[0094] Step S302: calculating the target photovoltaic component azimuth angle, the target photovoltaic component tilt angle and the pile foundation position coordinates 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.

[0095] The target photovoltaic power station terrain information comprises a target photovoltaic power station terrain slope angle and a projection amount of a slope direction vector on a horizontal plane; the solar position information comprises a solar elevation angle and a solar azimuth angle; the target photovoltaic component physical characteristic information comprises a target photovoltaic component included angle adjustment coefficient and a photovoltaic component size; and the photovoltaic array layout information comprises a row number and a column number of the target photovoltaic component in the photovoltaic array.

[0096] Further, in the process of calculating the target photovoltaic component azimuth angle, the target photovoltaic component tilt angle and the pile foundation position coordinates, the sin (sine) function and the cos (cosine) function are widely used, because when describing the influence of the target photovoltaic power station terrain slope angle, the solar elevation angle and the solar azimuth angle and other angle-related factors on the target photovoltaic component azimuth angle, the target photovoltaic component tilt angle and the pile foundation position coordinates, the trigonometric function can effectively convert the angle information into quantified components in the horizontal and vertical directions, for example, the terrain slope in the vertical direction can be obtained by sin (α), and cos (α) is used to calculate the terrain slope in the horizontal direction, so as to accurately quantify the influence degree of the terrain slope on each parameter; wherein α is the target photovoltaic power station terrain slope angle, and β and γ are the solar elevation angle and the solar azimuth angle, respectively. Similarly, the trigonometric function is used to convert the angle information into effective data for adjusting the target photovoltaic component related parameters, so as to accurately adjust the direction and tilt angle of the photovoltaic component.

[0097] ​​Further, a plurality of adjustment coefficients are introduced, such as a geographical environment adjustment coefficient k1, a component characteristic adjustment coefficient k2, a target photovoltaic component adjustment coefficient m, a terrain adjustment coefficient k3, a component layout adjustment coefficient k4, and a component spacing adjustment coefficient n. The above adjustment coefficients are determined according to the specific geographical environment of the photovoltaic power station, the physical characteristics of the photovoltaic component itself, and the shadow analysis of the photovoltaic array, etc. The role of the above adjustment coefficients is to adjust the weight of the influence degree of different factors, so that the calculated target photovoltaic component azimuth angle, target photovoltaic component inclination angle and pile foundation position coordinates can better fit the specific photovoltaic power station construction scene. For example, k1 and k2 are used to balance the influence weight of factors such as target photovoltaic power station terrain slope and solar position information on the target photovoltaic component azimuth angle; m adjusts the influence of solar elevation angle and terrain slope on the inclination angle according to 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 shielding; k3 and k4 fine-tune the pile foundation position coordinates according to the terrain characteristics and component layout.

[0098] Further, a series of intermediate variables are calculated, such as the horizontal offset of the pile foundation position caused by the terrain slope of the target photovoltaic power station Δx slope , the vertical offset of the pile foundation position caused by the terrain slope of the target photovoltaic power station Δy slope , the height difference between the target photovoltaic components perpendicular to the slope direction Δh perp , the horizontal distance between the target photovoltaic components Δd para , the horizontal offset of the first pile foundation position Δx array , and the vertical offset of the first pile foundation position Δy array , etc. The influence of different factors on the target photovoltaic component azimuth angle, target photovoltaic component inclination angle and pile foundation position coordinates is gradually integrated. The above intermediate variables play a role in connecting the previous and the next in the calculation process, gradually transmitting and integrating the influence of various factors, making the calculation process more logical and hierarchical. For example, Δx slope and Δy slope integrate the influence of the terrain slope angle of the target photovoltaic power station, the solar elevation angle and the solar azimuth angle on the projection of the target direction vector on the horizontal plane, providing correction data for the subsequent accurate calculation of the photovoltaic component azimuth angle, Δh perp and Δd para consider the influence of terrain slope on height difference and horizontal distance, which is an important intermediate step for optimizing the calculation of photovoltaic component inclination angle, Δx slope and Δy slope integrate the influence of component spacing, solar angle and slope on the pile foundation position coordinates, laying the foundation for accurately determining the pile foundation position.

[0099] Further, by using trigonometric function and adjustment coefficient calculation, the problem of accurately calculating the azimuth angle of the target photovoltaic module and the inclination angle of the target photovoltaic module under the consideration of terrain slope and solar position change is solved. In actual photovoltaic power station construction, the fluctuation of terrain and the dynamic change of solar position will significantly affect the efficiency of photovoltaic modules receiving sunlight. The related simple calculation method cannot accurately cope with the above complex situation. By comprehensively considering multiple factors and using trigonometric functions and adjustment coefficients to accurately quantify the influence of each factor, the target photovoltaic module can receive sunlight at the best 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 function sin(α)cos(β)cos(γ) comprehensively considers the influence of the terrain slope angle of the target photovoltaic power station, the solar elevation angle and the solar azimuth angle on the azimuth angle of the target photovoltaic module, avoiding the azimuth deviation caused by simple calculation, and ensuring that the target photovoltaic module can be more accurately directed to the sun, improving the photovoltaic power generation efficiency. In the calculation of the inclination angle of the target photovoltaic module, the function combination msin(α)cos(β) fully considers the influence of the characteristics of the target photovoltaic module, the terrain slope of the target photovoltaic power station and the solar elevation angle on the inclination angle of the target photovoltaic module, so that the calculated inclination angle of the target photovoltaic module is more in line with the actual power generation demand.

[0100] Further, by means of intermediate variable calculation and coefficient adjustment function construction, the problem of reasonably determining the pile foundation position coordinates under complex terrain and photovoltaic array layout requirements is solved. The terrain of the target photovoltaic power station may be complex and diverse, and in order to improve the power generation efficiency, it is necessary to reasonably layout the photovoltaic module array to avoid shadow shielding between modules. The related pile foundation position determination method is difficult to meet these complex requirements. By calculating intermediate variables such as Δx array and Δy array , the influence of multiple factors such as module spacing, solar angle and slope on the pile foundation position is considered, which provides a basis for accurately determining the pile foundation position. At the same time, adjustment coefficients such as k3 and k4 further adjust the pile foundation position according to the terrain and module layout, ensuring that the pile foundation can adapt to the terrain slope and meet the module spacing and layout requirements, avoiding shadow shielding, thereby ensuring the stable operation and efficient power generation of the photovoltaic power station.

[0101] Specifically, the above step S302 includes:

[0102] Step S3021, obtaining the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane, correcting the projection coordinates of the target direction vector of the target photovoltaic module on the horizontal plane based on the terrain information and the solar position information of the target photovoltaic power station, and obtaining the azimuth angle of the target photovoltaic module.

[0103] Specifically, under the horizontal ground and without considering the complex environmental factors, assuming that the horizontal coordinates and vertical coordinates of the target direction vector of the photovoltaic module are x and y respectively, the azimuth angle of the module without considering the complex environmental factors The azimuth angle of the module without considering the complex environmental factors is calculated by the arctangent function The expression is:

[0104]

[0105] wherein, the azimuth angle of the module without considering the complex environmental factors, the initial azimuth angle of the photovoltaic module calculated based on the simple horizontal direction vector relationship, without considering the complex factors such as the terrain and the position of the sun, as the basis value before the optimization of the azimuth angle calculation, x is the horizontal coordinate of the projection of the target direction vector on the horizontal plane, which is the horizontal coordinate component of the target direction vector of the photovoltaic module on the horizontal plane, used for the calculation of the azimuth angle, and the related reference direction information can be obtained by the RTK positioning system to determine x, y is the vertical coordinate of the projection of the target direction vector on the horizontal plane, which is the vertical coordinate component of the target direction vector of the photovoltaic module on the horizontal plane, used for the calculation of the arctangent of the azimuth angle, and used for the auxiliary determination of the approximate direction of the target photovoltaic module, and the value range of the azimuth angle of the module without considering the complex environmental factors is Only applicable to the ideal horizontal ground scene, without considering the influence of the complex factors such as the terrain slope angle, the solar elevation angle and the solar azimuth angle of the target photovoltaic power station on the azimuth angle of the photovoltaic module in the actual application, 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 the position information of the sun of the target photovoltaic power station, to obtain the azimuth angle of the target photovoltaic module.

[0106] In some optional embodiments, the above step S4021 comprises:

[0107] Step a1, obtaining the geographical environment adjustment coefficient and the module characteristic adjustment coefficient, and calculating 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 elevation angle and the solar azimuth angle.

[0108] Specifically, considering the terrain slope angle α (unit: radian, of the target photovoltaic power station obtained by the RTK positioning measurement, reflecting the inclination degree of the terrain where the target photovoltaic power station is located, affecting the adjustment of the azimuth angle and the inclination angle of the photovoltaic module, and being an important basis for the optimization calculation combined with the actual terrain, the solar elevation angle β (unit: radian, ), is the solar elevation angle (radian) obtained by combining RTK positioning with astronomical data, is the angle between the solar ray and the horizontal plane, is crucial for the accurate calculation of the target photovoltaic module azimuth and the target photovoltaic module tilt angle, and can help to adjust the module orientation to maximize the reception of solar energy, is the solar azimuth (unit: radian, 0≤γ≤2π), is the solar azimuth (radian) obtained by combining RTK positioning with astronomical data, is used to determine the direction of the sun in the horizontal plane, and in the optimization of the target photovoltaic module azimuth calculation, makes the target photovoltaic module orientation more consistent with the solar orbit, and the projection of the slope direction vector on the horizontal plane (s x and s y is the projection of the slope direction vector on the horizontal plane, which is determined by combining topographic survey data with the slope direction x and s y is the horizontal coordinate s x of the projection of the slope direction vector on the horizontal plane, which is calculated from the topographic information of the target photovoltaic power station obtained by RTK positioning x , which represents the horizontal component of the topographic slope of the target photovoltaic power station, is used to correct the target photovoltaic module azimuth to adapt to the best orientation under the topographic conditions, s y is the vertical coordinate s x of the projection of the slope direction vector on the horizontal plane, which together with s x completely describes the projection of the slope direction vector on the horizontal plane, and helps to calculate the influence of the topographic slope angle of the target photovoltaic power station on the target photovoltaic module azimuth, and improves the calculation accuracy of the target photovoltaic module azimuth.

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

[0110] Let the projection coordinate correction in x and y directions caused by the slope be Δx slope and Δy slope , Δx slope is the correction of the projection of the target direction vector in the x direction caused by the combined action of the topographic slope, the solar elevation angle and the solar azimuth, which is an intermediate variable in the optimization of the azimuth calculation process, and is used to adjust the deviation of the traditional azimuth calculation which does not consider complex factors, and Δy slopeThe correction amount in the y direction due to the above factors is Δx slope The target direction vector projection is accurately adjusted in cooperation, thereby optimizing the calculation of the azimuth angle of the target photovoltaic module; wherein 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, based on the projection coordinates of the target direction vector of the target photovoltaic module orientation on the horizontal plane and the projection coordinate correction amount, the corrected projection coordinates are calculated.

[0114] Specifically, the projection coordinate correction amount is added to the projection coordinates of the target direction vector of the target photovoltaic module orientation on the horizontal plane, to obtain the corrected horizontal coordinate x mod and the vertical coordinate y mod (namely, the corrected projection coordinates), x mod is the corrected horizontal coordinate obtained by adding the correction amount Δx slope due to factors such as slope to the horizontal coordinate x of the target direction vector, which provides data support for the subsequent accurate calculation of the optimized azimuth angle, and is a transition variable in the optimization calculation process, y mod is the corrected vertical coordinate obtained by adding the correction amount Δy slope to the vertical coordinate y of the original target direction vector, which is used together with x mod to accurately calculate the target photovoltaic azimuth angle, and the expression of the corrected projection coordinates is as follows:

[0115] x mod = x + Δx slope (4)

[0116] y mod = y + Δy slope (5)

[0117] Step a3, based on the corrected projection coordinates, the azimuth angle of the target photovoltaic module is calculated.

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

[0119]

[0120] wherein, is the azimuth angle of the target photovoltaic module, is the azimuth angle of the target photovoltaic module obtained by accurate calculation, fully considering the factors such as terrain slope, solar elevation angle and azimuth angle, and combining the accurate geographic and solar position data obtained by the RTK positioning system, so that the target photovoltaic module can be more accurately oriented to receive sunlight, which is a key parameter to realize efficient construction assistance, and the value range is

[0121] In step S3022, the position information between the target photovoltaic modules is obtained, and the position 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 characteristic information of the target photovoltaic module to obtain the inclination angle of the target photovoltaic module.

[0122] Specifically, when the slope and other complex factors are not considered, it is assumed that the height difference between the target photovoltaic modules is Δh and the horizontal distance between the target photovoltaic modules is Δd (i.e. the position information between the target photovoltaic modules), and the inclination angle θ old is calculated by the following formula:

[0123]

[0124] wherein θ old is the inclination angle of the module without considering the slope and other complex factors, is the initial inclination angle of the photovoltaic module calculated based on the height difference and the horizontal distance between the target photovoltaic modules, without considering the actual influencing factors such as terrain slope and solar elevation angle, as the starting reference value for inclination angle optimization calculation, Δh is the height difference between the target photovoltaic modules, which is the height difference between the target photovoltaic modules measured by the RTK positioning system, and is the basic parameter for the calculation of the inclination angle of the target photovoltaic module, but in the actual complex environment, it needs to be further optimized in combination with other factors, Δd is the horizontal distance between the target photovoltaic modules, which is the horizontal distance between the target photovoltaic modules obtained by RTK positioning, and together with Δh constitutes the basic data for the calculation of the inclination angle of the target photovoltaic module, which needs to be adjusted in combination with more factors in the optimization process, θ old The value range of θ However, in actual application scenarios, environmental factors such as the terrain slope angle of the target photovoltaic power station and the solar elevation angle will significantly affect the optimal inclination angle of the target photovoltaic module, so the inclination angle of the module without considering the slope and other complex factors needs to be corrected.

[0125] In some optional embodiments, the above step S3022 comprises:

[0126] In step b1, 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 based on the terrain slope angle of the target photovoltaic power station and the position information between the target photovoltaic modules, respectively.

[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 adjustment amount of the target photovoltaic module in the vertical direction caused by the solar elevation angle is multiplied by the included angle adjustment coefficient m, the sine value sin(a) of the slope angle and the cosine value cos(b) of the solar elevation angle to obtain the adjustment amount in the vertical direction caused by the solar elevation angle, which reflects the effect of the solar elevation angle on the adjustment of the vertical direction of the photovoltaic module, is used for the target photovoltaic module tilt calculation, and is denoted as sun The adjustment amount of the target photovoltaic module in the parallel direction caused by the solar elevation angle is the adjustment amount in the parallel direction of the slope direction obtained by multiplying the measured horizontal distance Ad by the cosine value cos(a) of the slope angle, is used for accurate calculation of the target photovoltaic module tilt when the terrain slope is considered, and is a key intermediate parameter in the optimization calculation process.

[0136] In step b3, the target photovoltaic module tilt is calculated based on the height difference between the target photovoltaic modules in the vertical direction of the slope, the horizontal distance between the target photovoltaic modules in the parallel direction of the slope, and the adjustment amount of the target photovoltaic module in the vertical and parallel directions caused by the solar elevation angle.

[0137] Specifically, the expression of the target photovoltaic module tilt is as follows:

[0138]

[0139] Wherein, θ is the target photovoltaic module tilt, is the optimized target photovoltaic module tilt, which comprehensively considers the terrain slope, the solar elevation angle and the characteristics of the photovoltaic module, accurately calculates the tilt angle that can make the target photovoltaic module receive sunlight at the best angle with the help of the terrain and solar position information provided by the RTK positioning system, is a key parameter for realizing efficient photovoltaic power generation, and is an important index for precise construction assistance, and the value range is

[0140] In step S3023, the array starting point coordinates are obtained, and the array starting point coordinates are corrected 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 to obtain the pile foundation position coordinates.

[0141] Specifically, assuming that a certain fixed origin in the target photovoltaic power station is taken as a reference, the coordinate of the center position of a single target photovoltaic component on the horizontal plane is (x0, y0), which is the coordinate value of the center position of a single photovoltaic component on the horizontal plane determined by the RTK positioning system, is the starting point of the pile foundation position coordinate calculation, and is the basic reference for subsequent coordinate correction considering multiple factors. The size of the target photovoltaic component in the x direction is a, which is used to determine the space occupied by the target photovoltaic component in the horizontal direction and has an important influence on the pile foundation position coordinate calculation, and is a basic parameter for construction assistance based on the actual size of the component. The size of the target photovoltaic component in the y direction is b, which is a key parameter for determining the pile foundation position coordinate considering the actual size of the component. The pile foundation position coordinate (x p_old ,y p_old ) not considering the component layout is the coordinate value of the center position of a single photovoltaic component on the horizontal plane determined by the RTK positioning system, which is the starting point of the pile foundation position coordinate calculation and is the basic reference for subsequent coordinate correction considering multiple factors.

[0142] The expression of the pile foundation position coordinate not considering the component layout is:

[0143]

[0144] The expression of the pile foundation position coordinate not considering the component layout is: p_old ,y p_old ) is the coordinate value of the center position of a single photovoltaic component on the horizontal plane determined by the RTK positioning system, which is the starting point of the pile foundation position coordinate calculation and is the basic reference for subsequent coordinate correction considering multiple factors.

[0145] In some optional embodiments, the above step S3023 comprises:

[0146] Step c1, obtaining a component spacing adjustment coefficient, calculating a first pile foundation position offset based on the terrain slope angle of the target photovoltaic power station, the solar elevation angle, the solar azimuth angle, the photovoltaic component size, and the row number 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, the solar azimuth angle, and the solar elevation angle.

[0147] Specifically, based on the target photovoltaic power station terrain slope angle a (unit: radian), the solar elevation angle β (unit: radian), the solar azimuth angle γ (unit: radian), the component spacing adjustment coefficient n (the component spacing adjustment coefficient determined by detailed analysis of the solar running track and shadow blocking condition of the location of the photovoltaic power station, used for reasonably adjusting the spacing between the target photovoltaic components to prevent the front row components from blocking the rear row components and ensure that each component fully receives sunlight, which is a key parameter for optimizing the pile foundation position coordinate calculation), and the row number r of the i th component in the photovoltaic array i (the row number r of the target photovoltaic component in the photovoltaic array i , as an identification of the row position of the component in the array, when calculating the pile foundation position coordinate, the pile foundation position meets the layout requirements of the entire photovoltaic array, which is an important index parameter for construction assistance considering the array layout), the column number c i (the column number c of the target photovoltaic component in the photovoltaic array i , which is the column number of the i th target photovoltaic component in the photovoltaic array, and r i cooperating with accurately identifying the position of the photovoltaic component in the array, in the calculation of the pile foundation position coordinate, cooperates with other factors to ensure that the pile foundation position corresponds to the position of the component in the array and meets the array layout requirements) calculates the offset Δx array and Δy array in the x direction and y direction caused by the component spacing and the solar azimuth angle, the height angle array (that is, the first pile foundation position offset, Δx array is the offset in the x direction caused by the component spacing and the solar azimuth angle, the solar elevation angle, considering the component spacing adjustment coefficient n, the solar elevation angle β, the solar azimuth angle γ, the component size a in the x direction, and the slope angle a of the target photovoltaic power station, which reflects the influence of multiple factors on the x direction position of the pile foundation, is an important intermediate variable in the optimization of the pile foundation position coordinate calculation process, and Δy array is similar to Δx array , which is the offset in the y direction caused by the component spacing and the solar azimuth angle, the height angle, considering multiple factors, reflecting the influence on the y direction position of the pile foundation, which is an important intermediate variable in the optimization of the pile foundation position coordinate calculation process).

[0148] wherein the expression of the first pile foundation position offset is:

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

[0150] Δy 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 is calculated by only considering the terrain slope angle a and the terrain adjustment factor k3, used to correct the influence of the terrain slope on the position of the pile foundation in the x direction, ensure that the position of the pile foundation adapts to the change of the terrain, and is a key adjustment parameter for optimizing the position coordinates of the pile foundation, Δy array Similar to Δx array , is the offset in the y direction caused by the component spacing and the solar azimuth angle, height angle, comprehensively considers multiple factors, reflects the influence on the position of the pile foundation in the y direction, and is an important intermediate variable in the calculation process of optimizing the position coordinates of the pile foundation.

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

[0158] Specifically, the expression of the pile foundation position coordinates 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, constructing the optimal construction strategy of the photovoltaic power station based on the target photovoltaic component azimuth angle, the target photovoltaic component inclination angle and the pile foundation position coordinates. For details, please refer to Figure 1 the step S203 of the embodiment shown in the figure, which will not be repeated 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] The geographic coordinate information of the photovoltaic power station is obtained based on the RTK high-precision positioning system, and then the x value and y value of the projection of the target direction vector on the horizontal plane are determined. Meanwhile, the sun elevation angle β and the sun azimuth angle γ are obtained by astronomical data or real-time monitoring. The calculated target photovoltaic module azimuth is displayed in a visual manner on the site by the construction personnel using the AR intelligent auxiliary construction equipment, which guides the installation direction of the target photovoltaic module. The value range of the target photovoltaic module azimuth represents the angle of the target photovoltaic module relative to the reference direction. In the above case, the calculated target photovoltaic module azimuth can make the photovoltaic module face the sun as much as possible in the flat terrain without shadow blocking to obtain the maximum illumination. For example, if it is calculated that represents that the photovoltaic module should be oriented to the south (assuming that the reference direction is the south).

[0170] 2) Complex terrain and shadow blocking risk: In actual cases, the terrain slope angle α of the target photovoltaic power station ≠ 0, and the shadow blocking of the front row of components to the rear row of components needs to be considered. First, the terrain slope angle α of the target photovoltaic power station and the s x and s y are accurately measured by the RTK positioning system. At the same time, the sun elevation angle β and the sun azimuth angle γ at different times are determined by long-term monitoring of the sun's orbit or professional software simulation. The component spacing adjustment coefficient n is determined according to the shadow analysis, and the adjustment coefficients k1 and k2 related to the geographic environment of the photovoltaic power station and the characteristics of the components, respectively. The above parameters are substituted into the target photovoltaic module azimuth, and the expression of the target photovoltaic module azimuth is:

[0171]

[0172] The calculated target photovoltaic module azimuth is superimposed and displayed with the actual terrain and installed components on site by the construction personnel using the AR intelligent auxiliary construction equipment, and the installation direction of the photovoltaic module is adjusted in real time to ensure that it can adapt to the terrain slope and minimize shadow blocking to the greatest extent, thereby improving the power generation efficiency. In the above case, the value range of the target photovoltaic module azimuth is still In this complex case, the calculated target photovoltaic module azimuth considers multiple factors. For example, if is slightly deviated from the ideal flat terrain, it indicates that the photovoltaic module needs to be adjusted in direction to adapt to the terrain and avoid shadow blocking. Through the visual display of the AR intelligent construction auxiliary equipment, the construction personnel can intuitively understand and accurately perform the adjustment of the installation direction.

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

[0174] ​1) No slope and stable light conditions: When the target photovoltaic power station is located in a flat terrain, i.e. α = 0, and the light conditions are relatively stable, the expression of the target photovoltaic component inclination is simplified as:

[0175]

[0176] Where, because of the influence of no slope, Δh perp = Δh, Δd para = Δd, the height difference Δh and the horizontal distance Δd between the target photovoltaic components are obtained by using the RTK positioning system, the angle adjustment coefficient m is determined according to the physical characteristics information of the photovoltaic components, and the solar elevation angle β is obtained, and the target photovoltaic component inclination θ is calculated. Construction personnel can directly mark the inclination at which the photovoltaic components should be installed on site with the help of AR intelligent auxiliary construction equipment, ensuring that the components receive sunlight at the appropriate angle. At this time, the value range of the target photovoltaic component inclination θ is In the above case, the calculated target photovoltaic component inclination can make the photovoltaic components achieve better power generation efficiency when there is no slope and the light is stable. For example, when θ is close to an empirical optimal value, it indicates that the component installation inclination is appropriate. If it deviates greatly, it needs to be adjusted.

[0177] 2) With slope and large light changes: For terrain with slope, α ≠ 0, and light changes greatly over time and season, first measure the terrain slope angle α of the target photovoltaic power station accurately by RTK positioning system, obtain the height difference Δh and the horizontal distance Δd between the target photovoltaic components, determine m according to the characteristics of the photovoltaic components, and monitor the solar elevation angle β in real time or through astronomical model. Calculate the target photovoltaic component inclination based on the above parameters. The expression of the target photovoltaic component inclination is:

[0178]

[0179] During construction, the calculated target photovoltaic component inclination is displayed in the form of virtual auxiliary lines or the like at the component installation position by using AR intelligent auxiliary construction equipment, which facilitates the adjustment of the component inclination by construction personnel. At the same time, due to large changes in light, the inclination can be recalculated periodically or in real time according to changes in light, and the display information can be updated in time through AR intelligent auxiliary construction equipment, ensuring that the target photovoltaic component always receives sunlight at the optimal inclination. The value range of the inclination θ is unchanged. In the above case, the calculated target photovoltaic component inclination takes into account the terrain slope and light changes. For example, when the slope is large and the solar elevation angle changes frequently, the value of θ will be adjusted dynamically. Through the real-time display of AR intelligent auxiliary construction equipment, construction personnel can respond in time to ensure the power generation efficiency of photovoltaic components.

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

[0181] 1) Small, simple layout of photovoltaic power plant case: for small, simple layout of photovoltaic power plant, some factors can be simplified, assuming that the component spacing adjustment coefficient n takes the empirical value (because the scale of the power plant is small, the problem of shadow shielding is relatively not serious), and the terrain is relatively flat α≈0, at this time the expression of the pile foundation position coordinates can be simplified as:

[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] The RTK positioning system is used to determine the array starting point coordinates (x start ,y start ), and the row number r i and column number c i of the target component in the array are determined according to the position of the target component in the array, and the component size a and b are determined. The sun elevation angle β and the sun azimuth angle γ are obtained through astronomical data or real-time monitoring, and the correction coefficients k3 and k4 are determined. The above parameters are substituted into the simplified formula to calculate the pile foundation position coordinates. The calculated pile foundation position coordinates are displayed in the form of virtual markers on the construction site with the help of AR intelligent construction auxiliary equipment, guiding the accurate construction of the pile foundation. The calculated (x p ,y p ) coordinate values determine the position of the pile foundation on the plane of the photovoltaic power plant. In the above case, the pile foundation position coordinates calculated by the simplified formula can meet the general requirements of the pile foundation position of small, simple layout of photovoltaic power plant. For example, if the calculated x p value deviates greatly from the expected position, the construction personnel can check whether the parameter setting or measurement data is accurate.

[0185] 2) Large, complex layout of photovoltaic power plant case: large photovoltaic power plants have complex terrain and layout, and various factors need to be considered comprehensively. The RTK positioning system is used to accurately measure the terrain slope angle α of the target photovoltaic power plant, determine the array starting point coordinates (x start ,y start ), and the row number r i and column number c i of the component in the array., the adjustment coefficient n of the component spacing is determined through detailed shadow analysis, k3 and k4 are determined according to the terrain and component layout, the solar elevation angle β and the solar azimuth angle γ are obtained in real time or through professional software simulation, and the pile foundation position coordinates are calculated based on the above parameters in combination with the target photovoltaic component sizes a and b, the expression of the pile foundation position 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] In the construction process, the pile foundation position coordinates are displayed in a three-dimensional visual form on the site with the aid of an AR intelligent construction auxiliary device, construction personnel can directly see the spatial relationship between the pile foundation and the terrain, other components, and accurately construct, at the same time, as the construction progresses and the environment changes (such as local changes in the terrain, changes in the position of the sun, etc.), the pile foundation position coordinates can be recalculated in real time and updated and displayed through the AR intelligent construction auxiliary device, ensuring that the pile foundation position always meets the requirements of complex terrain and layout, the (x p ,y p ) coordinate value domain covers the entire photovoltaic power station area, in the case of large and complex layout, the calculated pile foundation position coordinates take into account a variety of factors, for example, if the calculated pile foundation position coordinates are close to an area with a large terrain slope, the coordinates are adjusted through the slope-related term to ensure the stability of the pile foundation; if close to the front row of components, the coordinates are adjusted through the adjustment parameters such as n to avoid shadow shielding, through the intuitive display of the AR intelligent construction auxiliary device, construction personnel can accurately grasp the rationality of the pile foundation position and adjust the construction in a timely manner.

[0189] In the present embodiment, a photovoltaic power station construction optimization system is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and has been described and will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, hardware, or a combination of software and hardware implementations are also possible and contemplated.

[0190] The present embodiment provides a photovoltaic power station construction optimization system, as shown in Figure 4 , the system comprises:

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

[0192] The calculation module 402 is configured to calculate a target photovoltaic component azimuth angle, a target photovoltaic component tilt 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.

[0193] The construction module 403 is configured to construct an optimal construction strategy of the photovoltaic power station based on the target photovoltaic component azimuth angle, the target photovoltaic component tilt angle, and the pile foundation position coordinate.

[0194] In some optional embodiments, the calculation module 402 includes:

[0195] The first correction unit is configured to acquire a projection coordinate of a target direction vector of a target photovoltaic component orientation on a horizontal plane, correct the projection coordinate of the target direction vector of the target photovoltaic component orientation on the horizontal plane based on the target photovoltaic power station terrain information and the solar position information, and obtain the target photovoltaic component azimuth angle.

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

[0197] The third correction unit is configured to acquire an array starting point coordinate, correct the array starting point 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 obtain the pile foundation position coordinate.

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

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

[0200] The second calculation subunit is configured to calculate a corrected projection coordinate based on the projection coordinate of the target direction vector of the target photovoltaic component orientation on the horizontal plane and the projection coordinate correction amount.

[0201] The third calculation subunit is configured to calculate the target photovoltaic component azimuth angle based on the corrected projection coordinate.

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

[0203] The fourth calculating sub-unit is configured to calculate a height difference between the target photovoltaic modules in a direction perpendicular to the slope and a horizontal distance between the target photovoltaic modules in a direction parallel to the slope based on the slope angle of the target photovoltaic power station terrain and the position information between the target photovoltaic modules.

[0204] The fifth calculating sub-unit is configured to calculate an adjustment amount of the target photovoltaic modules in the vertical and parallel directions caused by the solar elevation angle based on the solar elevation angle, the slope angle of the target photovoltaic power station terrain and the target photovoltaic module included angle adjustment coefficient.

[0205] The sixth calculating sub-unit is configured to calculate the target photovoltaic module included angle based on the height difference between the target photovoltaic modules in the direction perpendicular to the slope, the horizontal distance between the target photovoltaic modules in the direction parallel to the slope and the adjustment amount of the target photovoltaic modules in the vertical and parallel directions caused by the solar elevation angle.

[0206] In some optional embodiments, the third correcting unit comprises:

[0207] The seventh calculating sub-unit is configured to obtain a module distance adjustment coefficient, calculate a first pile foundation position offset based on the slope angle of the target photovoltaic power station terrain, the solar elevation angle, the solar azimuth angle, the photovoltaic module size and the row number and the column number of the target photovoltaic module in the photovoltaic array; wherein the first pile foundation position offset is a pile foundation position offset caused by the target photovoltaic module distance, the solar azimuth angle and the solar elevation angle.

[0208] The eighth calculating sub-unit is configured to obtain a terrain adjustment coefficient and a module layout adjustment coefficient, calculate a second pile foundation position offset based on the slope angle of the target photovoltaic power station terrain, the terrain adjustment coefficient and the module layout adjustment coefficient; wherein the second pile foundation position offset is a pile foundation position offset caused by the slope of the target photovoltaic power station terrain.

[0209] The ninth calculating sub-unit is configured to calculate a pile foundation position coordinate based on the array starting point coordinate, the first pile foundation position offset and the second pile foundation position offset.

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

[0211] The photovoltaic power station construction optimization system in the embodiment is presented in the form of functional units, wherein the units refer to ASIC (Application Specific Integrated Circuit, Application Specific Integrated Circuit) circuits, processors and memories executing one or more software or fixed programs, and / or other devices that can provide the above-mentioned functions.

[0212] The embodiment of the present application also provides a computer device having the above-mentioned Figure 4 The photovoltaic power station construction optimization device is shown in the figure.

[0213] Please refer to Figure 5 , Figure 5 The structure schematic diagram of the computer device provided by the optional embodiment of the present application is shown in the figure. Figure 5 The computer device includes one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are communicatively connected with each other by using different buses, and can be installed on a common mainboard or in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in the memory or the memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, multiple processors and / or multiple buses can be used together with multiple memories if needed. Similarly, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 5 The processor 10 is taken as an example in the figure.

[0214] The processor 10 can be a central processor, a network processor, or a combination thereof. The processor 10 can further include a hardware chip. The hardware chip can be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device can be a complex programmable logic device, a field programmable logic gate array, a generic array logic, or any combination thereof.

[0215] The memory 20 stores instructions executable by the at least one processor 10, so that the at least one processor 10 executes the method shown in the above-mentioned embodiment.

[0216] The memory 20 can include a program storage area and a data storage area. The program storage area can store an operating system and application programs required by at least one function; and the data storage area can store data created according to the use of the computer device, and the like. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some optional embodiments, the memory 20 can optionally include a memory remotely arranged with respect to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

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

[0218] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 can be connected by a bus or other means, Figure 5 The bus connection is taken as an example.

[0219] The input device 30 can receive inputted digital or character information and generate key signal inputs related to user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (e.g., an LED), a tactile feedback device (e.g., a vibration motor), etc. The display device includes, but is not limited to, a liquid crystal display, a light emitting diode, a display and a plasma display. In some alternative embodiments, the display device can be a touch screen.

[0220] The embodiments of the present application also provide a computer readable storage medium, and the above-mentioned method according to the embodiments of the present application can be implemented in hardware, firmware, or recorded in a storage medium, or stored in a remote storage medium or a non-transitory machine readable storage medium and downloaded from a network and stored in a local storage medium, so that the method described herein can be processed by such software on a storage medium using a general purpose computer, a special purpose processor or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk or a solid state disk, etc. Further, the storage medium can also include a combination of the above-mentioned types of memories. It can be understood that the computer, the processor, the microprocessor controller or the programmable hardware includes a storage component that can store or receive software or computer code, when the software or computer code is accessed and executed by the computer, the processor or the hardware, the method shown in the above embodiments is implemented.

[0221] Part of the present application can be applied as a computer program product, for example, computer program instructions, when executed by a computer, through the operation of the computer, the method and / or technical solutions according to the present application can be called or provided. Those skilled in the art should understand that the form of computer program instructions in computer readable medium includes but is not limited to source file, executable file, installation package file and the like, and accordingly, the way of computer program instructions executed by computer includes but is not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Here, the computer readable medium can be any available computer readable storage medium or communication medium accessible to the computer.

[0222] Although the embodiments of the present application are described in conjunction with the drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. An RTK positioning system, characterized in that, The system comprises a positioning device, a computing device, a reference station and a mobile station; wherein the reference station is connected with the computing device and the mobile station respectively, and the positioning device is connected with the computing device; The positioning device is used to acquire target photovoltaic power station terrain information, solar position information, target photovoltaic component physical characteristic information and photovoltaic array layout information, and send the target photovoltaic power station terrain information, the solar position information, the target photovoltaic component physical characteristic information and the photovoltaic array layout information to the computing device; The computing device is used to calculate target photovoltaic component azimuth, target photovoltaic component inclination and pile foundation position coordinates 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 respectively, and construct photovoltaic power station optimal construction strategy based on the target photovoltaic component azimuth, the target photovoltaic component inclination and the pile foundation position coordinates, and send the photovoltaic power station optimal construction strategy to the mobile station through the reference station; The mobile station is used to receive the photovoltaic power station optimal construction strategy sent by the reference station, and use the photovoltaic power station optimal construction strategy for construction assistance.

2. A method for optimizing construction of a photovoltaic power plant, characterized in that, The application is applied to the computing device in the RTK positioning system shown in claim 1, and the method comprises: acquiring target photovoltaic power station terrain information, solar position information, target photovoltaic component physical characteristic information and photovoltaic array layout information; calculating target photovoltaic component azimuth, target photovoltaic component inclination and pile foundation position coordinates 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 respectively; constructing photovoltaic power station optimal construction strategy based on the target photovoltaic component azimuth, the target photovoltaic component inclination and the pile foundation position coordinates.

3. The method of claim 2, wherein, The calculation of the target photovoltaic component azimuth, the target photovoltaic component inclination and the pile foundation position coordinates 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 comprises: acquiring the projection coordinates of the target direction vector of the target photovoltaic component orientation on the horizontal plane, correcting the projection coordinates of the target direction vector of the target photovoltaic component orientation on the horizontal plane based on the target photovoltaic power station terrain information and the solar position information to obtain the target photovoltaic component azimuth; acquiring the position information between target photovoltaic components, correcting the position information between target photovoltaic components based on the target photovoltaic power station terrain information, the solar position information and the target photovoltaic component physical characteristic information to obtain the target photovoltaic component inclination; acquiring array starting point coordinates, correcting the array starting point coordinates 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 to obtain the pile foundation position coordinates.

4. The method of claim 3, wherein, The target photovoltaic power station terrain information includes a target photovoltaic power station terrain slope angle and a projection amount of a slope direction vector on a horizontal plane; the solar position information includes a solar elevation angle and a solar azimuth angle; the target direction vector on the horizontal plane of the target photovoltaic component orientation is corrected based on the target photovoltaic power station terrain information and the solar position information to obtain the target photovoltaic component azimuth angle, and the method comprises the following steps: Obtaining a geographical environment adjustment coefficient and a component characteristic adjustment coefficient, and calculating a projection coordinate correction amount based on the geographical environment adjustment coefficient, the component characteristic adjustment coefficient, the target photovoltaic power station terrain slope angle, the projection amount of the slope direction vector on the horizontal plane, the solar elevation angle and the solar azimuth angle; Calculating a corrected projection coordinate based on the projection coordinate of the target direction vector on the horizontal plane of the target photovoltaic component orientation and the projection coordinate correction amount; Calculating the target photovoltaic component azimuth angle based on the corrected projection coordinate.

5. The method of claim 4, wherein, The target photovoltaic component physical characteristic information includes a target photovoltaic component included angle adjustment coefficient and a photovoltaic component size; the position information between target photovoltaic components is corrected based on the target photovoltaic power station terrain information, the solar position information and the target photovoltaic component physical characteristic information to obtain the target photovoltaic component inclination angle, and the method comprises the following steps: Calculating a height difference between target photovoltaic components perpendicular to the slope direction and a horizontal distance between target photovoltaic components parallel to the slope direction based on the target photovoltaic power station terrain slope angle and the position information between the target photovoltaic components, respectively; Calculating adjustment amounts of the target photovoltaic components in the vertical and parallel directions caused by the solar elevation angle based on the solar elevation angle, the target photovoltaic power station terrain slope angle and the target photovoltaic component included angle adjustment coefficient, respectively; Calculating the target photovoltaic component inclination angle based on the height difference between the target photovoltaic components perpendicular to the slope direction, the horizontal distance between the target photovoltaic components parallel to the slope direction and the adjustment amounts of the target photovoltaic components in the vertical and parallel directions caused by the solar elevation angle.

6. The method of claim 5, wherein, The photovoltaic array layout information includes a row number and a column number of the target photovoltaic component in the photovoltaic array; the array starting point coordinate is corrected 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 to obtain the pile foundation position coordinate, and the method comprises the following steps: Obtaining a component spacing adjustment coefficient, and calculating a first pile foundation position offset amount based on the target photovoltaic power station terrain slope angle, the solar elevation angle, the solar azimuth angle, the photovoltaic component size and the row number and the column number of the target photovoltaic component in the photovoltaic array; wherein the first pile foundation position offset amount is a target photovoltaic component spacing, a solar azimuth angle and a solar elevation angle caused pile foundation position offset amount; Obtain a terrain adjustment coefficient and a component layout adjustment coefficient, and calculate a second pile foundation position offset based on the target photovoltaic power station terrain slope angle, the terrain adjustment coefficient, and the component layout adjustment coefficient; the second pile foundation position offset is a pile foundation position offset caused by the target photovoltaic power station terrain slope; Calculate the pile foundation position coordinates based on the array starting point coordinates, the first pile foundation position offset, and the second pile foundation position offset.

7. A photovoltaic power plant construction optimization system, characterized by, The system comprises: An acquisition module is configured to acquire target photovoltaic power station terrain information, solar position information, target photovoltaic component physical characteristic information, and photovoltaic array layout information; A calculation module is configured to calculate a target photovoltaic component azimuth angle, a target photovoltaic component inclination angle, and pile foundation position coordinates 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, respectively; A construction module is configured to construct an optimal photovoltaic power station construction strategy based on the target photovoltaic component azimuth angle, the target photovoltaic component inclination angle, and the pile foundation position coordinates.

8. A computer device, comprising: Comprise: A memory and a processor are communicatively connected, the memory stores computer instructions, and the processor executes the computer instructions to perform the photovoltaic power station construction optimization method in any one of claims 2 to 6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for causing a computer to perform the photovoltaic power station construction optimization method in any one of claims 2 to 6.

10. A computer program product, characterised in that, Comprise computer instructions for causing a computer to perform the photovoltaic power station construction optimization method in any one of claims 2 to 6.

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