Photovoltaic cell panel inclination angle monitoring method and system based on unmanned aerial vehicle, and medium

Abstract

The invention provides a photovoltaic cell panel inclination angle monitoring method and device based on an unmanned aerial vehicle, equipment and a medium, and the method comprises the steps: collecting monitoring data in real time through the unmanned aerial vehicle, and the monitoring data comprises the angle information and spatial position of a photovoltaic cell panel and the environment monitoring data of a photovoltaic power station; calculating the optimal inclination angle of each cell panel through an optimization algorithm according to the monitoring data and historical data; and generating an adjustment instruction from the optimal inclination angle, and sending the adjustment instruction to a field adjustment device for photovoltaic cell panel angle optimization, thereby solving the technical problems of large-range, real-time and high-precision photovoltaic cell panel angle monitoring and real-time optimization adjustment.

Description

Technical Field

[0001] The present invention relates to the field of drone application technology, and in particular to a method, device, equipment and medium for monitoring the tilt angle of a photovoltaic panel based on a drone. Background Art

[0002] Photovoltaic power generation, as a clean energy source, has been widely adopted worldwide. The installation angle of photovoltaic panels has a significant impact on their light reception and power generation efficiency. During the construction and operation of large-scale photovoltaic power plants, deviations from the optimal installation angle and layout of the panels can lead to a decrease in power generation efficiency, thereby impacting economic benefits. Currently, most photovoltaic power plants still rely on traditional manual inspection and commissioning methods, which are not only time-consuming and labor-intensive but also fail to accurately cover all panels, making them prone to omissions and errors.

[0003] Existing technologies, including manual ground inspections, lidar, and remote sensing, are some of the methods used. However, these methods are unable to monitor large areas quickly and efficiently. Furthermore, manual inspections are inefficient and easily affected by factors such as weather and terrain. Therefore, achieving large-scale, real-time, and high-precision photovoltaic panel angle monitoring and real-time optimization and adjustment has become a pressing need for digital operation and maintenance (MOM) and intelligent management of photovoltaic power plants.

[0004] Therefore, it is urgent to propose a photovoltaic panel tilt angle monitoring method based on drones to solve the problem of large-scale, real-time, and high-precision photovoltaic panel angle monitoring and real-time optimization and adjustment. Summary of the Invention

[0005] In order to overcome the problems existing in the related art, the present disclosure provides a method, device, equipment and medium for monitoring the tilt angle of photovoltaic panels based on drones to solve the technical problems of large-scale, real-time and high-precision photovoltaic panel angle monitoring and real-time optimization adjustment in the related art.

[0006] One or more embodiments of this specification provide a method for monitoring the tilt angle of a photovoltaic panel based on a drone, comprising the following steps:

[0007] Real-time monitoring data collection through drones, including: angular information of photovoltaic panels, spatial location and environmental monitoring data of photovoltaic power plants;

[0008] Calculating the optimal tilt angle of each solar panel using an optimization algorithm based on the monitoring data combined with historical data;

[0009] The optimal tilt angle generates an adjustment instruction and is sent to an on-site adjustment device to optimize the angle of the photovoltaic panel.

[0010] Preferably, the step of calculating the optimal tilt angle of each solar panel by an optimization algorithm based on the monitoring data combined with historical data specifically includes the following steps:

[0011] Combining the angle information of the photovoltaic panel with the spatial position to generate layout data of the photovoltaic panel;

[0012] The layout data is combined with environmental monitoring data of the photovoltaic power station to determine the optimal tilt angle of each photovoltaic panel.

[0013] Preferably, the real-time collection of monitoring data by drone, including: angular information, spatial position of photovoltaic panels and environmental monitoring data of photovoltaic power stations, specifically includes the following steps:

[0014] The drone is integrated with a tilt sensor, a laser radar and an environmental monitoring sensor;

[0015] The tilt sensor is used to monitor the tilt angle of each photovoltaic panel;

[0016] The laser radar is used to scan the spatial position of the photovoltaic panel and generate three-dimensional model data;

[0017] The environmental monitoring sensor is used to monitor environmental monitoring data of the photovoltaic power station.

[0018] Preferably, the method further comprises the following steps:

[0019] The UAV is integrated with an edge computing device for performing preliminary processing on the monitoring data.

[0020] Preferably, the method further comprises the following steps:

[0021] The optimization strategy is adjusted according to the optimization results of the photovoltaic panel angle optimization, historical optimization results and power generation data.

[0022] One or more embodiments of this specification provide a photovoltaic panel tilt angle monitoring system based on a drone, including a data acquisition module, a calculation module, and an optimization module;

[0023] The data acquisition module is used to collect monitoring data in real time through the drone, including: the angle information and spatial position of the photovoltaic panels and the environmental monitoring data of the photovoltaic power station;

[0024] The calculation module is used to calculate the optimal tilt angle of each solar panel through an optimization algorithm based on the monitoring data and historical data;

[0025] The optimization module is used to generate an adjustment instruction for the optimal tilt angle and send it to the on-site adjustment device to optimize the photovoltaic panel angle.

[0026] Preferably, the calculation module includes a layout data generating unit and an optimal tilt angle generating unit;

[0027] The layout data generating unit is configured to combine the angle information of the photovoltaic panel with the spatial position to generate layout data of the photovoltaic panel;

[0028] The optimal tilt angle generating unit is configured to combine the layout data with the environmental monitoring data of the photovoltaic power station to determine the optimal tilt angle of each photovoltaic panel.

[0029] Preferably, the data acquisition module is configured as follows:

[0030] The drone is integrated with a tilt sensor, a laser radar and an environmental monitoring sensor;

[0031] The tilt sensor is used to monitor the tilt angle of each photovoltaic panel;

[0032] The laser radar is used to scan the spatial position of the photovoltaic panel and generate three-dimensional model data;

[0033] The environmental monitoring sensor is used to monitor environmental monitoring data of the photovoltaic power station.

[0034] One or more embodiments of the present specification provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned method for monitoring the tilt angle of a photovoltaic panel based on a drone is implemented.

[0035] One or more embodiments of this specification provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for monitoring the tilt angle of photovoltaic panels based on a drone.

[0036] The present disclosure provides a method, device, equipment, and medium for monitoring the tilt angle of photovoltaic panels based on drones. The advantages are that, by collecting monitoring data in real time through drones, more comprehensive and accurate data can be obtained, monitoring efficiency can be improved, and all-round real-time perception of panel status and environmental changes can be achieved, providing a strong basis for precise control; the optimal tilt angle of each panel is calculated based on the monitoring data combined with historical data through an optimization algorithm, and sensor technology and optimization algorithms are combined to achieve real-time adjustment of the photovoltaic panels, reducing manual intervention and lowering operation and maintenance costs; the optimal tilt angle is generated and an adjustment instruction is sent to an on-site adjustment device to optimize the angle of the photovoltaic panels, so that the photovoltaic panels can receive solar radiation to the greatest extent, thereby significantly improving photovoltaic power generation efficiency, increasing power generation, and improving the economic benefits of the photovoltaic power station. The method not only improves the working efficiency of the photovoltaic panels, but also can adapt to changes in different seasons, weather, and geographical environments, keeping the photovoltaic power station in the best power generation state at all times. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1 A schematic flow chart of a method for monitoring the tilt angle of a photovoltaic panel based on a drone provided in one or more embodiments of this specification;

[0039] Figure 2 A schematic structural diagram of a photovoltaic panel tilt angle monitoring system based on a drone provided in one or more embodiments of this specification;

[0040] Figure 3 A schematic diagram of the structure of a computer device provided in one or more embodiments of this specification. DETAILED DESCRIPTION

[0041] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the technical solutions in one or more embodiments of this specification will be clearly and completely described below in conjunction with the drawings in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this invention document.

[0042] The present invention will be described in detail below with reference to specific implementation methods and the accompanying drawings.

[0043] Method Example

[0044] According to an embodiment of the present invention, a method for monitoring the tilt angle of a photovoltaic panel based on a drone is provided. Figure 1 FIG. 1 is a flow chart of a method for monitoring the tilt angle of a photovoltaic panel based on a drone provided in this embodiment. The method for monitoring the tilt angle of a photovoltaic panel based on a drone according to an embodiment of the present invention includes the following steps:

[0045] S110. Use drones to conduct inspections along a preset flight path and collect real-time monitoring data, including: angular information of photovoltaic panels, spatial position, and environmental monitoring data of photovoltaic power plants. The drones have high flight efficiency, load capacity, and flight time, enabling them to complete inspections within a wide range of photovoltaic power plants. They are equipped with a variety of sensors to perform inspections of photovoltaic power plants and are equipped with high-precision positioning systems (such as RTK-GPS) to ensure accurate flight paths and provide reliable spatial positioning support for data collection. The monitoring data collected by the drones during flight is transmitted back to the control system in real time via wireless communication for aggregation, analysis, and storage. Furthermore, the angular information of the photovoltaic panels can also be obtained using tilt sensors installed on the panels.

[0046] S120: Calculate the optimal tilt angle and installation stability of each solar panel using an optimization algorithm based on the monitoring data and historical data.

[0047] The optimal tilt angle for each photovoltaic panel is calculated based on historical data, which depends on the system optimization goal and the actual application scenario:

[0048] 1. Adapt to different seasons and weather changes

[0049] The sun's incident angle varies with the seasons, so the optimal tilt angle for photovoltaic panels may vary at different times of the year. Combining historical data can learn the optimal angles for different time periods to optimize the adjustment strategy for photovoltaic panels.

[0050] Weather conditions (such as cloud cover, temperature, humidity, wind speed, etc.) can also affect the power generation efficiency of photovoltaic panels. Combining historical data can analyze the long-term impact of these environmental factors and optimize adjustment strategies.

[0051] 2. Optimize long-term power generation efficiency

[0052] By monitoring power generation data over a long period of time, the system can learn which angles provide the best power generation efficiency under different conditions.

[0053] Combined with historical data, the AI model can be trained to predict the optimal tilt angle in the future under different environmental conditions, rather than just optimizing based on current monitoring data.

[0054] 3. Error compensation and correction

[0055] Sensors may have measurement errors. For example, the spatial position of photovoltaic panels measured by lidar may be affected by drone flight jitter or environmental interference. Combining historical data can be used to compensate for these errors and improve measurement accuracy.

[0056] Historical data can also help identify long-term drift issues with sensors or systems and make corrections.

[0057] 4. Self-learning and intelligent optimization

[0058] By leveraging historical data through machine learning or artificial intelligence (such as reinforcement learning and regression analysis), the system can continuously adjust optimization strategies and improve the accuracy of photovoltaic panel angle adjustment. For example, AI can analyze historical data and predict the optimal tilt angle under certain future meteorological conditions, rather than just optimizing based on real-time data.

[0059] S130: Send the optimal tilt angle generation adjustment instruction to the on-site adjustment device to optimize the photovoltaic panel angle.

[0060] The method provided in this embodiment collects monitoring data in real time through drones, which can obtain more comprehensive and accurate data, improve monitoring efficiency, and fully perceive the status of the panels and environmental changes in real time, providing a strong basis for precise control. The optimal tilt angle of each panel is calculated based on the monitoring data combined with historical data through an optimization algorithm. By combining sensor technology and optimization algorithms, real-time adjustment of photovoltaic panels is achieved, reducing manual intervention and lowering operation and maintenance costs. The optimal tilt angle generates an adjustment instruction and sends it to the on-site adjustment device to optimize the angle of the photovoltaic panels, so that the photovoltaic panels can receive solar radiation to the greatest extent, thereby significantly improving the efficiency of photovoltaic power generation, increasing power generation, and improving the economic benefits of the photovoltaic power station. This method not only improves the working efficiency of photovoltaic panels, but also can adapt to changes in different seasons, weather, and geographical environments, keeping the photovoltaic power station in the best power generation state at all times.

[0061] In one embodiment, the optimal tilt angle of each solar panel is calculated using an optimization algorithm based on the monitoring data combined with historical data, specifically including the following steps:

[0062] The angle information of the photovoltaic panel is combined with the spatial position to generate layout data of the photovoltaic panel.

[0063] The layout data is combined with environmental monitoring data of the photovoltaic power station to determine the optimal tilt angle of each photovoltaic panel.

[0064] Build an algorithm to optimize the optimal tilt angle of photovoltaic panels, taking into account current environmental parameters and historical power generation data. The following is a calculation process for an optimization algorithm based on maximizing power generation per unit area, integrating physical models, environmental monitoring, and historical data regression prediction.

[0065] 1. Objective function definition

[0066] The goal is to find a tilt angle θ (unit: °) that maximizes the photovoltaic module power generation E(θ) per unit time:

[0067] θ * =argmaxE(θ);

[0068] θ∈[θ min ,θ max ];

[0069] Among them, θ * represents the optimal tilt angle, θ min ,θ max represents the adjustable range of the device (e.g., 5° to 45°), E(θ): the predicted power generation function per unit area under current environmental conditions.

[0070] 2. Power generation prediction model

[0071] The power generation can be approximately estimated using the following basic formula:

[0072] E(θ)=G(θ)·η·A·τ;

[0073] Where G(θ) represents the effective solar radiation received per unit area when the tilt angle is θ (W / m 2 ), η represents the conversion efficiency of the component (usually between 15% and 22%), and A represents the area of the photovoltaic panel (m 2 ), τ represents the time span (hours). Since η, A, and τ are usually fixed, the optimization objective is simplified to:

[0074] θ * =argmaxE(θ);

[0075] 3. Effective irradiance model G(θ)

[0076] Based on physical modeling, considering the current solar altitude angle α, solar azimuth angle φ, and solar panel orientation (assuming it is due south), the tilted irradiance can be calculated using the following formula:

[0077] G(θ)=G h ·[cos(θ-α)]+β·Dh +γ·R;

[0078] Among them, G h represents the direct irradiance on the current horizontal plane (measured by the environmental sensor), D h represents the scattered irradiance at the current level, R represents the reflected irradiance (from the ground reflection), β and γ represent empirical coefficients (adjustment weights), and a more complex three-component model (Direct+Diffuse+Reflected) can also be used to fit G(θ).

[0079] 4. Historical data correction and forecasting

[0080] To improve the stability of real-time data, historical data (such as power generation at different angles under the same weather conditions within a week or a month) is introduced to establish a regression model:

[0081] E hist (θ)=f ML (θ, weather, time, season, environmental factors);

[0082] Machine learning models (such as XGBoost, neural networks, and support vector regression) are used to fit the relationship between historical perspectives and power generation efficiency. The final actual power generation prediction model is summarized as follows:

[0083]

[0084] in, represents the comprehensive predicted power generation, and λ represents the weighting coefficient (such as the fusion weight of real-time data and historical data).

[0085] 5. Optimize algorithm process

[0086] Input data:

[0087] Real-time environmental data: solar altitude angle α, irradiance G h , scattering D h , reflection R, historical power generation data and corresponding angle, current tilt angle range.

[0088] Angular traversal (or gradient optimization):

[0089] Traverse the angle θ∈[θ with a step size Δθ min, θ max ], calculate for each angle Find the θ corresponding to the maximum value * .

[0090] Output:

[0091] Recommended adjustment angle θ *

[0092] The system issues adjustment instructions (if equipped with electric bracket).

[0093] The method provided in this embodiment uses real-time monitoring of the photovoltaic panel's tilt angle, position, and environmental data, combined with an optimization algorithm, to achieve real-time optimization and adjustment of the panel's angle. This not only improves the efficiency of the photovoltaic panels but also adapts to seasonal, weather, and geographical variations, maintaining the photovoltaic power station in optimal power generation conditions.

[0094] In one embodiment, real-time monitoring data is collected by drones, including the angle information and spatial position of photovoltaic panels and environmental monitoring data of photovoltaic power plants, and specifically includes the following steps:

[0095] The UAV is integrated with a tilt sensor, a laser radar and an environmental monitoring sensor.

[0096] The tilt sensor is used to monitor the tilt angle of each photovoltaic panel to ensure that it is consistent with the designed angle.

[0097] The laser radar is used to scan the spatial position of photovoltaic panels, generate three-dimensional model data, and achieve accurate spatial positioning of the panels.

[0098] The environmental monitoring sensors are used to monitor the photovoltaic power station's environmental data, specifically temperature, humidity, light intensity, wind speed, and other environmental monitoring data. This provides a basis for real-time system adjustments. If the panels cannot adjust automatically, manual adjustment can be performed. If automated adjustment equipment is available, the control system can use electric drive devices to adjust the panels in real time. Based on the panels' historical data, environmental changes, and real-time monitoring data, the angle of the photovoltaic panels can be dynamically adjusted to maximize photovoltaic power generation efficiency.

[0099] The method provided in this embodiment uses a drone-integrated tilt sensor, lidar, and environmental monitoring sensor to comprehensively and accurately collect photovoltaic panel tilt angle, spatial position, and power station environmental data. This not only allows timely detection of panel angle deviations and layout hazards and adaptive adjustments based on environmental changes to improve system operational stability, but also allows scientific adjustment of panel angles based on this data, optimizes energy utilization efficiency, and detects potential problems in advance to reduce maintenance costs and risks. This provides rich information for photovoltaic power station management decisions, improving the scientific nature of decision-making and overall management and operational efficiency.

[0100] In one embodiment, the following steps are further included:

[0101] The UAV is integrated with an edge computing device for performing preliminary processing on the monitoring data.

[0102] Specifically, the NVIDIA Jetson Xavier module is integrated into the drone to perform preliminary processing on the collected monitoring data, which is then transmitted back to the data control center via wireless communication. The combination of wireless communication and cloud computing ensures the data transmission efficiency and real-time data processing from the drone to the control system, allowing the adjustment of the battery panels to be completed in the shortest possible time, ensuring real-time response.

[0103] In one embodiment, the following steps are further included:

[0104] The system's self-learning algorithm adjusts the optimization strategy based on the PV panel angle optimization results, historical optimization results, and power generation data. The algorithm gradually improves the accuracy of tilt angle adjustments and adjusts the optimization strategy based on the adjustment results, power generation data, seasonality, weather, and other environmental factors, thereby improving future adjustments. The system's feedback mechanism ensures that operators are kept informed of adjustment results, ensuring that the PV panels remain in optimal working condition.

[0105] The following is a further explanation through specific implementation cases:

[0106] 1. Project Background

[0107] A photovoltaic power station located in the desert environment of Northwest China covers approximately 150 hectares and is equipped with approximately 500,000 photovoltaic panels. Due to the complex terrain and uneven ground subsidence, the tilt angles of some photovoltaic panels deviate from the designed value, affecting sunlight reception and reducing power generation efficiency. Furthermore, the region's climatic conditions are highly variable, and environmental factors such as sunlight intensity and wind speed affect the optimal tilt angle of the photovoltaic panels. Therefore, a drone platform and sensor technology are being used to monitor and optimize the photovoltaic panels in real time to improve power generation efficiency and reduce maintenance costs.

[0108] 2. Device Configuration

[0109] drone platform

[0110] Use a six-rotor industrial-grade drone (such as the DJI Matrice 300RTK), which has a long flight time and high payload capacity and can carry multiple sensors.

[0111] Equipped with RTK-GPS to ensure accurate positioning of the drone and improve inspection accuracy.

[0112] sensor

[0113] Tilt angle sensor: Installed on the drone, it can measure the tilt angle of the photovoltaic panel and transmit the data back via wireless communication.

[0114] LiDAR: Scans the spatial position and height of photovoltaic panels, generates a three-dimensional model, and compares it with the design data.

[0115] Environmental monitoring sensors: measure factors such as light intensity, wind speed, and temperature to assist in calculating the optimal tilt angle.

[0116] Data processing and optimization system

[0117] Edge computing device: The NVIDIA Jetson Xavier module is integrated on the drone to perform preliminary processing of the collected data.

[0118] Data analysis and optimization algorithms:

[0119] Adopt AI intelligent optimization algorithm to calculate the optimal tilt angle.

[0120] Adjust the angle of photovoltaic panels based on historical data and real-time environmental factors.

[0121] Adjustment method:

[0122] Automatic adjustment solution: Some photovoltaic panels are equipped with electric drive devices (such as smart tracking brackets), which can automatically adjust the tilt angle according to the angle suggestions provided by the drone.

[0123] Manual adjustment plan: For photovoltaic panels that do not have automatic adjustment functions, the system generates adjustment suggestions, and operation and maintenance personnel conduct regular inspections and perform manual adjustments.

[0124] 3. Implementation steps

[0125] Phase 1: Drone Inspection

[0126] The drone takes off and flies along a preset inspection route, scanning the photovoltaic panels one by one.

[0127] Data collection:

[0128] The tilt angle sensor records the actual angle of the photovoltaic panel and compares it with the designed angle.

[0129] The lidar scans the spatial coordinates of the solar panels and generates high-precision three-dimensional point cloud data.

[0130] Environmental monitoring sensors record the current environmental conditions such as light intensity and wind speed.

[0131] Phase 2: Data Analysis and Optimization Calculation

[0132] The data is transmitted back to the control center and stored and analyzed by the server.

[0133] Data processing:

[0134] Identify PV panels with large angle deviations and mark the problem areas.

[0135] The optimal tilt angle of each solar panel is calculated based on environmental factors such as lighting conditions and wind speed.

[0136] Optimized scheduling:

[0137] For photovoltaic panels that support automatic adjustment, the system sends adjustment instructions to adjust the angle.

[0138] Generate maintenance reports to guide manual adjustments.

[0139] Phase 3: Adjustment and Optimization

[0140] Automatic Adjustment:

[0141] The electric drive device receives the adjustment instruction and adjusts the angle of the solar panel to the optimal state.

[0142] Feedback the adjustment results to ensure that the adjusted angle meets the optimization requirements.

[0143] Manual maintenance:

[0144] Based on the system reports, the maintenance team manually adjusts the photovoltaic panels that do not have automatic adjustment capabilities.

[0145] 4. Expected Results

[0146] Improve power generation efficiency:

[0147] By optimizing the tilt angle of photovoltaic panels, the light reception is maximized and the overall power generation efficiency is improved by about 5%-10%.

[0148] Reduce operation and maintenance costs:

[0149] Drone inspections can replace traditional manual inspections and reduce labor costs by more than 30%.

[0150] Optimize adjustment plans through data analysis, reduce unnecessary adjustment workload, and improve maintenance efficiency.

[0151] Real-time monitoring and adjustment:

[0152] Combined with environmental monitoring data, the angle of photovoltaic panels is dynamically adjusted to ensure that the power station can maintain optimal power generation status under different weather conditions.

[0153] 5. Applicable Scenarios

[0154] Large-scale photovoltaic power stations: Suitable for photovoltaic power stations with a large number of photovoltaic modules, wide distribution sites, and difficult manual inspections.

[0155] High radiation environment: It is more valuable in areas with strong sunlight but rapid environmental changes (such as deserts and grasslands).

[0156] Intelligent operation and maintenance needs: Applicable to photovoltaic power station operators who want to reduce manual maintenance costs and improve intelligent management levels.

[0157] 6. Possible technical improvements

[0158] Higher-precision sensors: A high-precision inertial measurement unit (IMU) can be used to improve the accuracy of tilt angle measurement.

[0159] Enhanced data analysis model: Combines machine learning and predictive models to provide a more intelligent tilt angle optimization solution.

[0160] Integrated adaptive adjustment function: In the future, photovoltaic panels will be able to automatically adapt to weather changes and autonomously adjust their angles to maximize power generation efficiency.

[0161] System Example

[0162] According to an embodiment of the present invention, a photovoltaic panel tilt angle monitoring device based on a drone is provided. Figure 2 As shown, it is a structural schematic diagram of the photovoltaic panel tilt angle monitoring device based on the drone provided in this embodiment. According to the embodiment of the present invention, the photovoltaic panel tilt angle monitoring device based on the drone includes a data acquisition module 21, a calculation module 22 and an optimization module 23.

[0163] The data acquisition module 21 is used to collect monitoring data in real time through the UAV, including: the angle information and spatial position of the photovoltaic panels and the environmental monitoring data of the photovoltaic power station.

[0164] The calculation module 22 is used to calculate the optimal tilt angle of each solar panel and the stability of the installation structure through an optimization algorithm based on the monitoring data and historical data.

[0165] The optimization module 23 is used to generate an adjustment instruction based on the optimal tilt angle and send it to the on-site adjustment device to optimize the angle of the photovoltaic panel.

[0166] In the device provided in this embodiment, the data acquisition module 21 collects monitoring data in real time through a drone, which can obtain more comprehensive and accurate data, improve monitoring efficiency, and fully perceive the status of the panel and environmental changes in real time, providing a strong basis for precise control. The calculation module 22 calculates the optimal tilt angle of each panel based on the monitoring data and historical data through an optimization algorithm. By combining sensor technology and optimization algorithms, it can achieve real-time adjustment of the photovoltaic panels, reduce manual intervention, and lower operation and maintenance costs. The optimization module 23 generates adjustment instructions based on the optimal tilt angle and sends them to the on-site adjustment device to optimize the angle of the photovoltaic panels, so that the photovoltaic panels can receive solar radiation to the greatest extent, thereby significantly improving the efficiency of photovoltaic power generation, increasing power generation, and improving the economic benefits of the photovoltaic power station. This method not only improves the working efficiency of the photovoltaic panels, but also can adapt to changes in different seasons, weather, and geographical environments, keeping the photovoltaic power station in the optimal power generation state at all times.

[0167] In one embodiment, the calculation module 22 includes a layout data generating unit and an optimal tilt angle generating unit.

[0168] The layout data generating unit is configured to combine the angle information of the photovoltaic panel with the spatial position to generate layout data of the photovoltaic panel.

[0169] The optimal tilt angle generating unit is used to combine the layout data with the environmental monitoring data of the photovoltaic power station to determine the optimal tilt angle of each photovoltaic panel.

[0170] The device provided in this embodiment monitors the tilt angle, position, and environmental data of photovoltaic panels in real time, and combines this with an optimization algorithm to optimize and adjust the panel angle in real time. This not only improves the efficiency of the photovoltaic panels but also adapts to seasonal, weather, and geographical variations, ensuring that the photovoltaic power station remains in optimal power generation.

[0171] In one embodiment, the data acquisition module 21 is configured as follows: a tilt sensor, a lidar, and an environmental monitoring sensor are integrated on the drone. The tilt sensor is used to monitor the tilt angle of each photovoltaic panel. The lidar is used to scan the spatial position of the photovoltaic panel to generate three-dimensional model data. The environmental monitoring sensor is used to monitor the environmental monitoring data of the photovoltaic power station.

[0172] The device provided in this embodiment integrates a tilt sensor, a lidar, and an environmental monitoring sensor in a drone to comprehensively and accurately collect photovoltaic panel tilt angles, spatial positions, and power station environmental data. This not only allows timely detection of panel angle deviations and layout hazards and adaptive adjustments based on environmental changes to improve system operational stability, but also allows scientific adjustment of panel angles based on this data, optimizes energy utilization efficiency, and detects potential problems in advance to reduce maintenance costs and risks. This provides rich information for photovoltaic power station management decisions, improving the scientific nature of decision-making and overall management and operational efficiency.

[0173] The embodiment of the present invention is an apparatus embodiment corresponding to the above-mentioned method embodiment. The specific operations of the processing steps of each module can be understood by referring to the description of the method embodiment, and will not be repeated here.

[0174] like Figure 3 As shown, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the photovoltaic panel tilt angle monitoring method based on a drone in the above-mentioned embodiment, or, when executed by a processor, implements the photovoltaic panel tilt angle monitoring method based on a drone in the above-mentioned embodiment.

[0175] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0176] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device or system embodiments, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, refer to the partial description of the method embodiments. The device and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. A person of ordinary skill in the art can understand and implement it without making any creative efforts.

[0177] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and the contents not described in detail in the specification of the present invention belong to the common knowledge of those skilled in the art.

Claims

1. A method for monitoring the tilt angle of photovoltaic panels based on drones, characterized in that: The following steps are involved: Real-time monitoring data collection through drones, including: angular information of photovoltaic panels, spatial location and environmental monitoring data of photovoltaic power plants; Calculating the optimal tilt angle of each solar panel using an optimization algorithm based on the monitoring data combined with historical data; The optimal tilt angle generates an adjustment instruction and is sent to an on-site adjustment device to optimize the angle of the photovoltaic panel.

2. The method for monitoring the tilt angle of photovoltaic panels based on a drone according to claim 1, wherein: The method of calculating the optimal tilt angle of each solar panel by an optimization algorithm based on the monitoring data and historical data specifically includes the following steps: Combining the angle information of the photovoltaic panel with the spatial position to generate layout data of the photovoltaic panel; The layout data is combined with environmental monitoring data of the photovoltaic power station to determine the optimal tilt angle of each photovoltaic panel.

3. The method for monitoring the tilt angle of photovoltaic panels based on drones according to claim 1, wherein: The real-time monitoring data is collected by drones. The following steps are involved: The drone is integrated with a tilt sensor, a laser radar and an environmental monitoring sensor; The tilt sensor is used to monitor the tilt angle of each photovoltaic panel; The laser radar is used to scan the spatial position of the photovoltaic panel and generate three-dimensional model data; The environmental monitoring sensor is used to monitor environmental monitoring data of the photovoltaic power station.

4. The method for monitoring the tilt angle of photovoltaic panels based on an unmanned aerial vehicle according to claim 1 or 3, wherein: The following steps are also included: The UAV is integrated with an edge computing device for performing preliminary processing on the monitoring data.

5. The method for monitoring the tilt angle of photovoltaic panels based on drones according to claim 1, wherein: The following steps are also included: The optimization strategy is adjusted according to the optimization results of the photovoltaic panel angle optimization, historical optimization results and power generation data.

6. A photovoltaic panel tilt angle monitoring system based on drone, characterized in that: Including data acquisition module, calculation module and optimization module; The data acquisition module is used to collect monitoring data in real time through the drone, including: the angle information and spatial position of the photovoltaic panels and the environmental monitoring data of the photovoltaic power station; The calculation module is used to calculate the optimal tilt angle of each solar panel through an optimization algorithm based on the monitoring data and historical data; The optimization module is used to generate an adjustment instruction for the optimal tilt angle and send it to the on-site adjustment device to optimize the photovoltaic panel angle.

7. The photovoltaic panel tilt angle monitoring system based on a drone as claimed in claim 6, characterized in that: The calculation module includes a layout data generation unit and an optimal tilt angle generation unit; The layout data generating unit is configured to combine the angle information of the photovoltaic panel with the spatial position to generate layout data of the photovoltaic panel; The optimal tilt angle generating unit is configured to combine the layout data with the environmental monitoring data of the photovoltaic power station to determine the optimal tilt angle of each photovoltaic panel.

8. The photovoltaic panel tilt angle monitoring system based on a drone as claimed in claim 6, characterized in that: The data acquisition module is configured as follows: The drone is integrated with a tilt sensor, a laser radar and an environmental monitoring sensor; The tilt sensor is used to monitor the tilt angle of each photovoltaic panel; The laser radar is used to scan the spatial position of the photovoltaic panel and generate three-dimensional model data; The environmental monitoring sensor is used to monitor environmental monitoring data of the photovoltaic power station.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for monitoring the tilt angle of the photovoltaic panel of the drone according to any one of claims 1 to 5 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for monitoring the tilt angle of the photovoltaic panel of the drone as claimed in any one of claims 1 to 5 are implemented.

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