89 results about "Solar altitude" patented technology

The embodiment of the invention provides a new energy optical power correction method and system based on weather abrupt change prediction. The method comprises the following steps: identifying a cloud layer type contained in a target area, and obtaining a cloud layer type coverage rate; if the cumulonimbus coverage rate exceeds a first threshold value, predicting a cloud layer movement path in combination with the cloud layer movement vector field to obtain a first cloud layer coverage change sequence; if the layer cloud coverage rate exceeds a second threshold value, an irradiance attenuation coefficient is predicted based on the cloud layer thickness in the meteorological data and the solar altitude angle, and a second cloud layer coverage change sequence is obtained in combination with the ground aerosol optical thickness and the corrected irradiance attenuation coefficient; and monitoring real-time operation data of the power station, combining the first / second cloud layer coverage change sequence, predicting a matching relationship between a cloud layer moving direction and a power station power reduction area by adopting a double-flow Transform architecture, calculating a power fluctuation range corresponding to each power station power reduction area, dynamically adjusting power grid operation parameters of a target area, and determining the power grid operation parameters of the target area. The power grid stability is ensured.

The invention relates to the technical field of environmental shadow analysis, and discloses an environmental shadow analysis method for photovoltaic power station design, which comprises the following steps: collecting and preprocessing geographic space data of a photovoltaic power station; calculating a solar altitude angle and an azimuth angle based on the pre-processed parameters, and generating a three-dimensional solar direction vector; analyzing the geometric surface of the three-dimensional obstacle model, screening a visible surface patch according to a sun direction vector, and sampling effective projection points; dynamically updating the sun direction vector in a specified time period, and calculating shadow coordinates of projection points on the ground or an inclined plane in each time period; and generating shadow contours of all time periods and combining the shadow contours into a complete influence area. According to the invention, through the dynamic sun trajectory modeling and complex obstacle surface analysis technology and in combination with the multi-modal projection correction and Boolean operation merging strategy, high-precision analysis of shadow spatial-temporal distribution in a complex environment, multi-installation scene self-adaption and dynamic shielding influence quantitative evaluation are realized.

The invention belongs to the technical field of display equipment optimization, and discloses a display equipment brightness and color temperature control system based on ambient light adaptive adjustment, and the system comprises the steps: collecting multi-sensor data, constructing a polarization responsibility domain matrix, and generating a salt mist scattering field intensity graph; acquiring a solar altitude, and when the altitude meets an abnormal triggering condition, triggering low-angle light field reconstruction, generating an angle-region suppression mapping table, calculating a light compensation coefficient, and generating a suppression-compensation dual-channel instruction set; analyzing instruction conflicts, generating a driving instruction chain, and executing dynamic dimming; calculating a credibility index, freezing a partition voucher and activating a security mode when an abnormal state is triggered, and generating a verification report; and updating a polarization responsibility domain matrix, calibrating a salt mist scattering field intensity graph, optimizing an angle-region suppression mapping table, generating a new generation of control parameter set, and refreshing a final driving instruction chain.

The invention provides a visual celestial navigation method based on sun centroid extraction and sea-sky-line fitting. Belongs to the application of image processing technology in the field of celestial navigation. The method mainly comprises the steps of extracting a high-precision sea-sky-line by using a textural feature segmentation and Canny-Hough transform combined algorithm, and extracting a sky region based on a sea-sky-line segmentation result. A solar facula image candidate region and a sun candidate contour are constructed through a sky region, a dual optimization strategy of region similarity screening and facula feature scoring is proposed, and sub-pixel-level sun centroid coordinate calculation is realized by combining an intensity weighted center method and nonlinear least square two-dimensional Gaussian model fitting. And further constructing a camera coordinate system space vector through the orthogonal projection point of the sea-sky-line and the sun centroid, calculating a sun elevation angle based on a vector included angle, and performing angle compensation by adopting an atmospheric refraction correction model. And finally, fusing multi-moment observation data through a sun shift line positioning method, completing autonomous calculation of the ship position, and improving the positioning precision.

The invention provides a photovoltaic array dynamic adjustment method based on artificial intelligence shadow detection and prediction. According to the method, a multi-modal data set is formed by collecting photovoltaic array operation and maintenance related data, accurate recognition of a shadow area is achieved through quantization feature enhancement and a dynamic space attention mechanism, shadow boundary coordinates are determined, and the shadow coverage rate is calculated. Further calculating the shadow expansion speed and propagation time according to the shadow boundary coordinates, the solar altitude and the shelter parameters, and predicting the shadow coverage range. Meanwhile, the hot spot risk is quantified through the temperature difference between the shadow area and the non-shadow area and the shadow duration, and graded early warning is triggered. And dynamically adjusting the output voltage of the photovoltaic array based on the shadow coverage rate, and tracking the maximum power point through a particle swarm optimization algorithm. In addition, in combination with a shadow prediction result, the angle of the photovoltaic panel is mechanically adjusted to avoid a shadow area. According to the invention, the power generation efficiency of the photovoltaic array under the shadow shielding condition is improved, and the stability and safety of the system are enhanced.

The invention relates to the technical field of automobile body paint weather resistance testing, in particular to a sunlight self-following reflection system and a control method, and the sunlight self-following reflection system comprises a buried support, a rotation driving mechanism, a rotation platform and a mirror reflection mechanism. The rotary driving mechanism rotates by 360 degrees in a horizontal plane through a driving unit, so that the direction of a vehicle head is always aligned with a solar azimuth angle; the mirror reflection mechanism adjusts the pitching angle of a reflection plate through a micro motor, and it is ensured that sunlight is projected to the surface of a vehicle body with a preset standard irradiance value. The system further comprises an air supply mechanism and an online measuring instrument which are used for cooling, dedusting and tracking the position of the sun in real time. According to the invention, test errors caused by solar altitude changes and regional differences can be eliminated, and the comparability and repeatability of test results are significantly improved.

The invention discloses a polar region daytime sea fog / low cloud detection method and device based on multi-source polar orbit satellites and a medium. The method comprises the steps that remote sensing image data collected by the multi-source polar orbit satellites are acquired and preprocessed; calculating a sea surface identification index by using data of two preset wave bands in the preprocessed remote sensing image data, and jointly removing areas related to seawater and sea ice / snow in the preprocessed remote sensing image data according to the sea surface identification index and near-infrared wave band reflectivity data in the remote sensing image data; for each pixel of a third preset wave band in the remote sensing image data from which the seawater, the sea ice and the snow are removed, calculating a gray-level co-occurrence matrix of the pixels, and counting a plurality of texture features based on the gray-level co-occurrence matrix; and inputting the statistical texture feature values corresponding to the remote sensing images corresponding to all polar orbit satellites into the trained random forest model, identifying and removing medium and high clouds in the random forest model, and obtaining sea fog / low clouds as the remainder. The influence of satellite difference and solar altitude angle change on the method is small.

The invention relates to the technical field of street lamp use, in particular to a liftable rod arm multi-scene application street lamp pole device and an operation method thereof. The liftable rod arm multi-scene application street lamp pole device comprises a lamp pole base, a lifting connecting rod is slidably arranged in the lamp pole base in the height direction of the lamp pole base, and a lamp is installed on the lifting connecting rod; a power generation mechanism which changes in a self-adaptive mode and is electrically connected with the lamp is installed on the lifting connecting rod. Aiming at solar altitude change caused by season change, the adjusting disc is rotated to drive the solar panel to synchronously perform angle deflection around the lifting connecting rod. The process can correct the included angle between the solar panel and the sunlight in real time, effectively reduce the deviation degree of the two, ensure that the solar panel can be always aligned with the sun trajectory in different seasons of spring, summer, autumn and winter, and capture the illumination energy to the maximum extent.

The invention relates to a method, a device and equipment for determining an autonomous wake-up moment of a lunar rover and a medium, and the method comprises the steps: determining a current wake-up interval according to historical wake-up moment data of the lunar rover at a current moment and solar altitude forecast; according to the current wake-up interval and a pre-constructed relation model, determining a required incident angle sequence corresponding to the lunar surface patroller at the current moment; generating an actual incident angle sequence corresponding to the current wake-up interval according to the solar altitude forecast and the dormancy attitude parameters of the lunar surface patroller; and according to the required incident angle sequence and the actual incident angle sequence, determining the autonomous wake-up time of the lunar surface patroller. Through the method provided by the invention, full-autonomous wake-up moment determination based on historical data dynamic correction and orbit forecast accurate calculation is realized, the prediction accuracy of the wake-up moment is effectively improved, the dependence on ground measurement and control is reduced, and the method can adapt to complex in-orbit environments such as solar wing performance degradation and day-moon distance periodic change.

The invention belongs to the technical field of photovoltaic power generation, and discloses a distributed roof photovoltaic module maximum generating capacity arrangement method and system, and the method comprises the steps: obtaining the position information and image information of a project location, and carrying out the calculation to obtain a solar altitude angle and a solar azimuth angle; calculating to obtain a shadow union set according to the altitude angle and the azimuth angle of the sun; based on the shadow union set, obtaining an available area of the final arrangeable component; and after the available area is obtained, carrying out optimal position arrangement on the photovoltaic module by taking the maximum generating capacity and the highest coverage rate as targets. According to the distributed roof photovoltaic module maximum generating capacity arrangement method, on the premise that design safety is guaranteed, the photovoltaic module arrangement design period can be greatly shortened, and the land utilization rate and the generating efficiency can be further improved through algorithm optimization.

The invention provides a troposphere anisotropy-considered real-time PPP positioning method, and relates to the technical field of satellite navigation and positioning, and the method comprises the following steps: S01, receiving real-time GNSS observation data, broadcast ephemeris data and precision correction data, carrying out detection and restoration of clock slip and cycle slip, data quality control and preprocessing of antenna phase correlation errors on the data to obtain a preprocessed data set; s02, calculating the solar altitude after atmospheric refraction correction according to each preprocessed data set and the geographic position and observation time of the observation station corresponding to each data set; and S03, based on the solar altitude and the satellite altitude. According to the method, solar altitude parameters are introduced, the troposphere anisotropy effect caused by solar radiation is effectively modeled, and the precision and convergence speed of real-time precise single-point positioning are remarkably improved.

This invention discloses a method and system for evaluating the complementarity of wind and solar resources based on physically embedded deep learning, belonging to the field of resource assessment. The method includes: acquiring meteorological elements and digital elevation model data for the target area; calculating the elevation change rate between adjacent grids, distinguishing between flat and non-flat areas based on the IGC algorithm, and extracting terrain features separately; generating periodic features of solar altitude angle through radiation data, and concatenating them with terrain features to obtain fused features; constructing a physically embedded NODE-SA-ConvLSTM model, combining a self-attention mechanism to capture the global dependencies of wind and solar elements, and outputting wind speed and radiation prediction results; using a constant error compensation mechanism to perform sliding balance correction on the prediction residuals; and quantifying the complementarity of regional wind and solar resources through a wind-solar complementarity coefficient. This invention, by introducing a physically embedded mechanism and continuous-time modeling, effectively improves the accuracy and stability of wind and solar resource prediction, realizing the complementary evaluation of wind and solar resource endowments.

There is provided an apparatus for driving an electrochromic device comprises: a memory; and a processor is configured to obtain operating environment information including at least one of solar altitude, variable azimuth angle, and temperature according to an operating environment of an electrochromic device operating so that transmittance for a specific wavelength is adjusted through color change when electricity is applied, to generate a control signal corresponding to a capacitance to be applied to the electrochromic device on a basis of the operating environment information, to apply the capacitance corresponding to the control signal to the electrochromic device to drive the electrochromic device so that the transmittance is adjusted, and to generate the control signal by reflecting climate characteristics obtained by analyzing the operating environment information.

The invention discloses an artificial intelligence ultra-short-term surface solar radiation prediction method based on satellite data. The artificial intelligence ultra-short-term surface solar radiation prediction method comprises the following steps: S1, collecting stationary satellite multi-channel remote sensing data and meteorological station data; s2, collecting geographical environment feature data; s3, constructing a dynamic NDVI coupling factor; s4, preprocessing data, and performing projection conversion and angle cosine conversion; s5, performing model training optimization on the ultra-short-term surface solar radiation prediction logic; and S6, obtaining and applying an ultra-short-term surface solar radiation prediction model. According to the invention, multi-party data information is integrated, a dynamic NDVI coupling factor is introduced innovatively, and the sensitivity under a low solar altitude condition is improved; an all-sky earth surface solar radiation estimation method is constructed, the frequency and the space coverage of radiation inversion are remarkably improved, and the method is suitable for short-term and imminent forecasting requirements under complex weather conditions; the ultra-short-term surface solar radiation prediction can be accurately provided, the prediction accuracy is extremely high, and the model has excellent prediction performance, generalization ability and engineering practicability.

This invention provides a sky-polarized light adaptive dimming system based on multi-dimensional spatial orientation compensation, belonging to the field of smart wearable device technology. This invention introduces head posture feedback and polarization vector calculation to compensate for angular errors caused by posture deviation in real time, ensuring that the lens polarization axis remains precisely orthogonal to the ambient glare axis in dynamic scenarios such as cycling and sports, maintaining the highest glare filtering efficiency. This invention crosses technical barriers by introducing biomimetic polarization coordinate system transformation and solar altitude weighting, achieving a full-posture dynamic extinction effect unmatched by traditional solutions. The deep fusion of multiple sensors in this invention solves the technical barrier of ambient light source identification. By combining polarization light sensors, inertial measurement units, and global positioning data, it can intelligently decouple sky-scattered light and ground-reflected glare, thereby achieving intelligent switching between anti-glare optimization mode and sky polarization adaptation mode, optimizing blue sky contrast while filtering strong light.

The invention discloses an all-terrain inverse tracking control algorithm of a photovoltaic tracking support system, and belongs to the technical field of photovoltaic power generation. Comprising the following steps: S1, calculating a solar altitude theta and an azimuth angle alpha of a current point; s2, calculating an optimal angle beta opt under the condition of no shielding according to a solar energy radiation formula; and S3, adjusting the self inclination angle, and maximizing effective radiation under the condition of satisfying shadow avoidance. The method comprises the following steps: vectorization radiation optimization: converting astronomical data into space vector calculation, and uniformly processing terrain and shielding problems; a three-dimensional shadow model: fusing gradient height difference and azimuth off-axis correction; and non-uniform spacing adaptation: dynamic input is supported, and an actual engineering scene is adapted.

The invention relates to the technical field of photovoltaic supports, in particular to a modular photovoltaic support device with an adjustable inclination angle, and solves the problem that in the prior art, a photovoltaic support is difficult to realize large-angle adjustment and cannot adapt to remarkable changes of a solar elevation angle along with seasons and time periods, so that the power generation efficiency is low. A modularized photovoltaic support device with an adjustable inclination angle comprises a supporting frame and two bottom supporting frames connected to the bottom of the supporting frame, a photovoltaic panel is arranged at the top of the supporting frame, mounting plates are detachably connected to the two sides of the bottom of the photovoltaic panel, and one end of each mounting plate is rotationally connected with the top of the supporting frame through a rotating structure. The vertical lifting structure drives the contact wheel to push the mounting plate, large-angle inclination angle adjustment of the photovoltaic panel is achieved, the solar altitude angle change is effectively tracked, the illumination utilization rate and the power generation efficiency are improved, and meanwhile the modular design is convenient to mount, transport and maintain.

The utility model discloses a self-circulation type wind and light heat rod which comprises a ground surface fixing device and an evaporator, the evaporator is located below the ground surface fixing device, a transition heat insulation section is arranged between the ground surface fixing device and the evaporator, and a condenser, a radiator and a solar heat collector are sequentially welded to the top of the ground surface fixing device from bottom to top. The blade device and the power generation and energy storage assembly are additionally arranged, wind energy and solar energy are converted into electric energy and stored, the electric heating pipe emits heat at night, the energy utilization efficiency is improved, and automatic heat exchange can be achieved in the daytime and at night; the bending angle and the folding telescopic state of the corrugated pipe telescopic structure are adjusted through the adjusting assembly, the height and the inclination angle of the part, exposed on the ground, of the device can be adjusted, and therefore possible obstacles can be avoided, and the impeller composed of the multiple rolled blades faces the wind coming direction or adapts to the optimal solar altitude; the conversion efficiency of wind energy and solar energy is improved, and it can be ensured that the optimal heat conduction effect can be achieved at different depths.

This invention discloses a geological disaster early warning method based on remote sensing technology, belonging to the field of geological disaster early warning technology. The method includes: acquiring remote sensing image data with at least two different imaging principles within the same geographic unit and the same observation time window; performing geometric correction on the remote sensing image data under a unified coordinate system; and converting the remote sensing image data into corresponding physical quantity data and completing scale consistency processing through sensor response conversion and radiometric calibration; using the remote sensing image data and digital elevation data under the unified coordinate system, calculating the slope and aspect of each pixel, and constructing the light propagation path based on the solar altitude angle and solar azimuth angle. This invention models the influence range of environmental factors from the perspective of propagation structure by constructing light propagation paths and heat diffusion propagation paths under a unified coordinate system and calculating the direction vector field formed by the gravity direction of the slope. This allows anomaly identification to be based not only on numerical changes but also on the analysis of propagation mechanisms.

The invention relates to the technical field of new energy generator set supports, and discloses a flexibly dispatchable new energy generator set which comprises two supporting tables, and the upper surfaces of the two supporting tables are each provided with a bottom support assembly used for sliding guiding. The two bottom support assemblies are provided with a top support assembly for bearing a new energy generator set body, and the two bottom support assemblies are provided with moving assemblies capable of enabling the top support assembly to conduct angle adjustment along the bottom support assemblies. A locking assembly for fixing the adjusting angle of the bottom support assembly and the top support assembly is arranged between the bottom support assembly and the top support assembly. According to the invention, the second arc-shaped plate slides in the arc-shaped groove and cooperates with the moving assembly to push the H-shaped rod, so that the pitching angles of the top bracket assembly and the generator set body can be accurately and stably adjusted, the orientation of the solar panel can be optimized in real time according to the solar altitude or the wind direction, and the capturing efficiency of renewable energy sources is maximized.

The invention relates to an intelligent automatic building construction drawing generation method and device, equipment and a medium. The method comprises the following steps: acquiring grid coordinate data, terrain elevation data and sunlight characteristic data of a planning area; the sunlight characteristic data comprises solar azimuth data, solar altitude data and solar radiation intensity data; the grid coordinate data comprises coordinate data of grid points in the planning area; calculating a sunlight thermodynamic diagram of the planning area based on the grid coordinate data, the terrain elevation data and the sunlight characteristic data; the sunlight thermodynamic diagram is used for representing sunlight intensity distribution of a planning area; on the basis of the sunshine thermodynamic diagram and the grid coordinate data, calculating structural parameters of a building located in the planning area, and generating a building construction drawing on the basis of the structural parameters; the structure parameters at least comprise building optimal orientation parameters and building optimal windowing size parameters. By adopting the method, the building design efficiency can be improved.

The invention discloses a dynamic optimization system and method for a photovoltaic string connection mode, and the system comprises a data collection module which comprises an environmental parameter collection sub-module which collects the parameters of solar irradiance, environment temperature and assembly temperature in real time; the electrical parameter acquisition sub-module is used for monitoring voltage, current and power parameters of each photovoltaic string in real time; the space-time parameter calculation sub-module is used for calculating sun position parameters including a solar altitude angle, an azimuth angle and an incident angle based on GPS positioning information and a real-time clock; by dynamically optimizing a wiring mode in real time, the system can always keep a better operation state under different illumination conditions, and actually measured data shows that under a typical shadow shielding scene, the power generation efficiency can be improved, and the improvement effect is more obvious under a complex terrain condition; based on accurate geometric shadow calculation and actual electrical parameter verification, the system can accurately identify various types of shadow shielding.

The present invention discloses a bionic polarized light heading measurement method based on an improved polarization field singular point model. First, an image-based bionic polarized light sensor and a high-precision fiber-optic inertial navigation system are initialized. Next, the bionic polarized light sensor captures an image and transmits it to a host computer to determine the observation vector, polarization degree, and polarization angle information. Then, an improved polarization field singular point model for the full-sky polarization pattern is constructed using singular point correction coefficients. Based on a vector consisting of the solar azimuth, solar altitude, atmospheric turbidity parameters, and correction coefficients in the polarized light sensor system, the polarization angle and polarization degree corresponding to a single pixel are calculated. The polarization angle information is converted from the sensor coordinate system to the observation meridian coordinate system. Finally, a minimization objective function is constructed, and the least squares optimization method is used to determine the solar azimuth in the polarized light sensor system. Combined with the solar azimuth in the world coordinate system, the heading is ultimately determined. This invention addresses the problems of existing image-based polarized light sensor heading measurement methods, which are all based on a single Rayleigh scattering model and cannot adapt to weather conditions with thick aerosols and high solar altitudes. Furthermore, existing sky polarization pattern characterization models suffer from high computational complexity and poor characterization capabilities.

The invention discloses an intelligent control method and device for an integrated photovoltaic panel type energy storage cabinet. A main controller obtains a current light intensity value, a current wind speed value and a current photovoltaic panel inclination angle; determining a current solar elevation angle based on the current longitude and latitude data and the current system time, and obtaining the current residual electric quantity; determining a current target working operation mode according to the collected multiple parameters and current limited parameter conditions corresponding to the multiple working operation modes respectively; and controlling the rotatable photovoltaic panel to execute corresponding operation according to the current target working operation mode. According to the embodiment of the invention, the rotatable photovoltaic panel can be integrated at the top end of the energy storage cabinet; a main controller in the energy storage cabinet comprehensively determines a current target working operation mode suitable for the rotatable photovoltaic panel from current parameters acquired by a light intensity sensor and an environment sensor on the rotatable photovoltaic panel and an acquired current solar altitude and current residual electric quantity; therefore, the integrated photovoltaic panel type energy storage cabinet operates in a safe use state.

The invention discloses a polar region cloud layer detection method and device based on day and night adaptive multi-mode fusion. The method comprises the following steps: determining a polar region time period mode according to a solar altitude and environment illumination intensity of a polar region observation point; in the polar day mode, collecting a multi-angle polarization thermal image sequence and a visible light image, generating a cloud probability distribution map, and generating a polar day optical thickness map in combination with a physically guided thickness inversion model; in an extreme night mode, quantum radar echoes and terahertz radiation spectrums are collected, a cloud layer vertical distribution probability graph is generated, and an extreme night three-dimensional cloud mask is generated in combination with radar distance-Doppler constraint; and generating a polar region cloud layer full-time detection result based on the polar day optical thickness map and the polar night three-dimensional cloud mask. According to the invention, high-precision and all-weather detection of the polar region cloud is realized by introducing sensing technologies such as quantum radar and terahertz radiation spectrum and combining deep learning and quantum information processing methods.

The present application relates to the field of photovoltaic power generation, in particular to a tracking photovoltaic power generation device. It comprises east-west rotating lower photovoltaic panels and upper photovoltaic panels along the same rotation center, and a control system for real-time adjustment of the orientation of the lower photovoltaic panels and the upper photovoltaic panels according to the angle of sunlight. Multiple lower photovoltaic panels and upper photovoltaic panels are equidistantly arranged along the north-south direction. When the solar altitude angle is less than 45°, the angle between the light-receiving surface of the lower photovoltaic panels and the sunlight is always 45°, and the upper photovoltaic panels are perpendicular to the lower photovoltaic panels. When the solar altitude angle is not less than 45°, the light-receiving surfaces of the upper photovoltaic panels and the lower photovoltaic panels are both perpendicular to the sunlight. In use, when the solar altitude angle is small in the morning and evening, the lower photovoltaic panels and the upper photovoltaic panels are rotated to a perpendicular state, the lower photovoltaic panels and the upper photovoltaic panels receive reflected light from each other, the power generation capacity is increased, and the shadow is smaller, which is conducive to more compact arrangement of the photovoltaic power generation array.

The utility model relates to the technical field of data acquisition, in particular to a data acquisition device based on computer servo control, which comprises a mounting bottom plate, a support is fixedly connected to the surface of the mounting bottom plate, a worm is rotatably connected to the inside of the mounting bottom plate, a bogie is rotatably connected to the upper portion of the worm, and a motor is rotatably connected to the lower portion of the bogie. And the bottom of the bogie is rotationally connected with a worm gear corresponding to the worm. According to the improved data acquisition device, the adjustment of the vertical angle of the acquisition device mounting seat is realized through a worm and gear transmission structure, the acquisition device mounting seat can rotate horizontally by 360 degrees through the cooperation of a driving horizontal gear and a driven horizontal gear, and the data acquisition device is controlled by a computer servo in combination with a solar altitude sensor and a solar azimuth sensor. The device can automatically adjust the angle of the collector according to the real-time change of the position of the sun, so that the labor cost and the manual operation error are greatly reduced, the device can continuously and stably work under different weather and season conditions, and the continuity and integrity of data collection are ensured.

The application discloses a solar photovoltaic mounting support, which comprises a base, the cross section of the base is in a polygonal structure, each side of the top end of the base is provided with a support assembly, each support assembly comprises a support column, a turnover mechanism, a deflection mechanism and a support plate, the support plate is used for mounting a photovoltaic panel, the outer side end of the base is provided with a cleaning protection assembly and a power assembly, the cleaning protection assembly is provided on the base in a liftable manner, the cleaning protection assembly comprises a cleaning frame and a folding protection plate, and the folding protection plate is installed on the outer side of the cleaning frame. Through the dynamic turnover and deflection cooperative adjustment mechanism, the photovoltaic panel shadow avoidance and the solar altitude angle accurate tracking are realized, and the light receiving efficiency is significantly improved. Meanwhile, the liftable cleaning protection system is integrated, and the panel surface cleaning, the extreme weather protection and the anti-falling object shielding function are synchronously completed under single power driving.

The invention relates to the technical field of photovoltaic power generation, and discloses a photovoltaic solar panel convenient to install, which comprises a device frame, a rapid installation mechanism is arranged on the inner wall of the device frame, a protection mechanism is arranged at the top of the device frame, and a rainwater collection mechanism is arranged at the top of the device frame. The quick mounting mechanism comprises a sliding seat, a connecting block, a clamping block, a U-shaped plate, a fixing pin, a connecting seat, a supporting rod, a sliding block, a telescopic rod and a damper, and the sliding seat is slidably connected to the inner wall of the device frame. The inclination angle can be adjusted according to the local latitude, sunlight can directly irradiate the panel, reflection loss is reduced, seasonal adaptability can be improved, the solar elevation angle is low in winter, light receiving can be increased by increasing the inclination angle, overheating is avoided by reducing the angle in summer, and annual output is balanced.

The invention discloses an angle adjusting method and device for shooting hot spots of a photovoltaic power station by using an unmanned aerial vehicle, and belongs to the technical field of image acquisition and analysis, and the method comprises the steps: S1, obtaining basic data; s2, the optimal flight height is calculated according to the focal length of the infrared camera, the flight angle, the installation angle of the photovoltaic cell panel, the illumination intensity, the solar altitude, the wind speed and the environment temperature change; s3, adjusting the pitching angle of the infrared camera according to the optimal flight height, the solar altitude angle, the illumination intensity, the wind speed, the environment temperature change, the focal length of the infrared camera and the linear distance of the starting point; and S4, calculating a shortest flight path according to the optimal flight height, the flight speed of the unmanned aerial vehicle, the shooting task time, the image resolution, the flight angle, the solar altitude angle, the environment temperature value before flight of the unmanned aerial vehicle, the illumination intensity, the wind speed and the environment temperature change. According to the invention, the hot spot detection precision can be improved.