167 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.

Generate ionospheric delay correction information for satellite positioning users with high precision for one cycle. 【Solution】Based on the output result of a total electron number prediction model that is trained to output a predicted value of the total electron number at a future time (e.g., one hour later) when data such as atmospheric environmental characteristics and solar altitude angle data are input, a correction parameter (a new correction parameter replacing the ionospheric correction parameter of the existing Klobuchar model) ECP for correcting the ionospheric error is generated using an electron density distribution model expanded over a wide area by a spherical harmonic function with the total electron number at the ionospheric penetration point of the received date and time calculated using observation data obtained from ranging signals of multiple frequencies (e.g., L1 wave and L2 wave).

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 provides a photovoltaic system based on a sun-oriented trajectory, a rotation method and a storage medium. The photovoltaic system comprises a photovoltaic power generation panel, a motor, a data processing module, a motor control module, a sun-oriented tracking module and a photoelectric auxiliary tracking module. The motor is used for driving the photovoltaic power generation panel to rotate. The sun tracking module shoots a series of images of the sun and calculates the solar altitude and direction angle. The photoelectric auxiliary tracking module calculates the position of the sun through the angle of the sensor; and judging whether the illumination intensity reaches a threshold value or not, if so, selecting a sun tracking module for tracking, and if not, selecting photoelectric auxiliary tracking. The initial approximate position of the sun is tracked through an apparent sun view motion trail system, and the used tracking method is judged according to weather conditions and illumination intensity. And the sun can be stably and reliably tracked under most weather conditions.

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 discloses a method for interplanting amorphophallus bulbifer through photovoltaic shading. The method comprises the steps that interplanting areas are established between photovoltaic array lines; the interplanting area is divided into a fixed shading area and a variable light-transmitting area according to the projection range of the photovoltaic panels, the fixed shading area is located in the area under the photovoltaic panels, and the variable light-transmitting area is located in a light-transmitting zone between the adjacent photovoltaic panels; planting furrows are formed in the fixed shading area according to the line spacing of 40-50 cm; selecting amorphophallus bulbifer tubers, and performing field planting on the planting bed; a sunshade net sliding rail system driven by a stepping motor is arranged in the variable light-transmitting area, an illumination intensity sensor is installed on a sliding rail, the sensor is connected with a controller, and the controller automatically adjusts the horizontal displacement of the sunshade net every day according to a solar altitude calculation model and real-time illumination data; and establishing an intelligent drip irrigation system. According to the method, a stable shading environment and appropriate soil humidity can be provided for the amorphophallus bulbifer, manual operation is reduced, the automation level of the interplanting process is improved, and the specific requirements of crops for the growth environment are met.

The invention provides a three-dimensional cloud type classification method, device and equipment based on multi-source meteorological data fusion, and a medium. The method comprises the following steps: acquiring satellite data, radar data, numerical mode data and ground observation data, and performing preprocessing; a three-dimensional cloud cover analysis method is adopted, the three-dimensional cloud cover of numerical mode data is used as a background field, and a multi-source data fused three-dimensional cloud cover lattice point field is formed; establishing and training a plurality of cloud type classification models by using an XGBOOST multi-classification method, and matching the corresponding cloud type classification models based on the diagnosis results of the solar elevation angle of each grid point of the multi-source data fused three-dimensional cloud cover grid point field at the monitoring moment and the cloud layer distribution in the vertical direction to obtain the cloud type classification of each cloud layer in the vertical direction. And generating a three-dimensional cloud type classification result to solve the problem that the three-dimensional cloud type classification monitoring is limited due to the lack of effective training samples due to the fact that only satellite data is used and cannot penetrate through the uppermost cloud layer to obtain a vertical structure.

The invention relates to the technical field of solar power generation, in particular to a photovoltaic photo-thermal coupling system based on air bag adjustment. Comprising a supporting frame, the top of the supporting frame is sequentially provided with a semitransparent photovoltaic assembly, an air bag module and a photo-thermal reflection assembly from top to bottom, and the air bag module is connected with the semitransparent photovoltaic assembly or / and the photo-thermal reflection assembly; the air bag module is connected with the gas injection system and the liquid nitrogen injection system through pipelines, and the gas injection system and the liquid nitrogen injection system are connected with the control system. The semitransparent photovoltaic assembly is provided with an illumination angle sensor and a temperature sensor, and the illumination angle sensor and the temperature sensor are connected with the control system. The air bag module dynamically adjusts the relative position and the inclination angle of the photovoltaic module and the photo-thermal module according to the solar elevation angle, so that incident light is always distributed to the photovoltaic module and the photo-thermal reflection module at the optimal angle; liquid nitrogen vaporized gas is injected into the air bag module through the liquid nitrogen injection system, and liquid nitrogen is used for assisting in rapid cooling of the photovoltaic module.

The invention relates to an intelligent sunshade shutter control method and system based on environment data and target parameters, and belongs to the field of industrial Internet of Things information perception. Environment illumination intensity, solar altitude and azimuth angle, environment temperature and / or humidity data and target indoor illumination intensity and target temperature and humidity data input by a user are obtained; according to the method, the real-time base line shutter inclination angle is calculated, dynamic adjustment is carried out in combination with the light intensity adjusting particles and the somatosensory adjusting particles, and finally the optimal shutter inclination angle is obtained, so that intelligent control over the sunshade shutter is achieved. According to the invention, external environment change can be responded in real time, the inclination angle of the shutter is dynamically adjusted, direct light is effectively shielded, and indoor light and thermal environment are optimized. Meanwhile, intelligent adjustment according to weather conditions and multi-region requirements is supported, and the adaptability and accuracy of the system are enhanced.

The utility model relates to the technical field of solar photovoltaic power generation, and discloses a pile foundation structure of a photovoltaic power station, comprising: a steel pile inserted into the ground, a photovoltaic support plate hinged on the top of the steel pile; an adjusting mechanism, the adjusting mechanism is located between the ground and the steel pile and is used to adjust the angle of the photovoltaic support plate, the adjusting mechanism comprises a telescopic mechanism, a limiting mechanism, a control mechanism and a connecting mechanism, the telescopic mechanism is located between the ground and the steel pile, the limiting mechanism is located in cooperation with the telescopic mechanism and is used to limit the telescopic mechanism; the utility model can adjust the angle of the photovoltaic support plate through the setting of the adjusting mechanism, so that it can maximize the absorption of sunlight energy, avoid power generation efficiency being limited, increase the energy output of the photovoltaic power station, and solve the problem that the existing device cannot adapt to the seasonal changes in the solar altitude angle, resulting in unstable power generation efficiency under lighting conditions in different seasons or time periods.

The invention discloses a photo-thermal comprehensive utilization system based on artificial intelligence, which relates to the technical field of photo-thermal utilization and comprises a mode division unit, an energy analysis unit, a model construction unit and an energy prediction unit. The mode division unit divides the power generation modes into three modes according to the solar radiation intensity, the three modes are the sunshine sufficient mode, the sunshine insufficient mode and the sunshine lack mode, redundant energy is stored on the premise that normal operation of power generation equipment is guaranteed, the photo-thermal utilization rate is increased, and the power generation efficiency is improved. Meanwhile, the energy analysis unit combines the air pressure value, the temperature value, the humidity value, the wind speed value, the receiver parameter value, the solar altitude angle, the azimuth angle and the radiation intensity with the actual energy value, so that a correlation function is determined, and a subsequent LSTM prediction model can conveniently analyze the corresponding radiation intensity according to the meteorological data; the power generation mode of the photo-thermal power station is determined through the radiation intensity, the photo-thermal power station can be set in advance, and the overall operation efficiency of the system is improved.

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 relates to the technical field of vehicle control, in particular to a sunlight intensity acquisition method, intelligent equipment, a vehicle and a vehicle-mounted air conditioner, and aims to solve the technical problem of how to acquire effective sunlight intensity based on information such as environment temperature, environment brightness and real-time position when the vehicle cannot acquire the effective sunlight intensity from a sunlight sensor. In order to achieve the purpose, the method comprises the steps of obtaining a relative solar azimuth angle and a relative solar altitude angle based on a real-time position; acquiring a sunlight intensity basic value based on the ambient brightness and the ambient temperature; and correcting the sunlight intensity basic value based on the relative solar azimuth angle, the relative solar altitude angle and the current time. By means of the method, under the condition that the vehicle cost does not need to be increased, the sunlight intensity capable of reflecting the real condition can be obtained according to the real-time position, the environment brightness, the environment temperature and other information, the sunlight intensity is used for automatic control over the vehicle-mounted air conditioner, the control effect of the vehicle-mounted air conditioner can be improved, and the comfort of a driver and passengers can be improved.

The invention discloses a town building planning and designing method and system based on surveying and mapping modeling, and the method comprises the steps: obtaining vector data, a digital elevation model and a digital orthoimage of a planning region, and carrying out the coordinate projection and attribute information preprocessing; performing batch three-dimensional modeling on the vector data by using a CityEngine platform and a CGA rule file to generate a planning three-dimensional model including roads, buildings and greening facilities, and realizing detail iteration through a cascade rule; the planning three-dimensional model and the live-action three-dimensional oblique photography model are fused, and seamless splicing of the models is ensured through local terrain leveling processing and elevation adjustment; performing sunshine analysis based on the fused three-dimensional scene, calculating a solar altitude angle, a solar azimuth angle and a time angle, simulating sunshine time and a shadow area, and optimizing the building layout; and finally, through a three-dimensional line-of-sight analysis algorithm, assessing intervisibility conditions and view fields of the key nodes, generating a view field body model, and adjusting the building layout and density.

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 discloses a compliant mechanism-based single-drive photovoltaic panel double-shaft tracking system, which comprises a data acquisition module, a control circuit and a flexible tracking mechanism, and is characterized in that the control circuit comprises a control and calculation unit, a steering engine controller and a driving motor, and the driving motor is connected with the flexible tracking mechanism; the acquisition module transmits acquired photovoltaic panel parameters, GPS positioning, weather forecast and solar altitude angle and azimuth angle information to the control and calculation unit through wireless communication; and the control and calculation unit drives the steering engine controller and the driving motor through a tracking algorithm so as to control the compliant tracking mechanism and ensure that the photovoltaic panel is aligned with the sun in real time. According to the flexible tracking mechanism, the 3D integrated printing technology is adopted, the design of a transmission mechanism is simplified, the cost is reduced, the mechanical service life is prolonged, and the maintenance requirement is reduced; and the working modes can be automatically switched according to weather conditions, so that the stability and the adaptability are enhanced, and the robustness is improved.

The invention relates to a near space low earth orbit satellite and satellite constellation luminosity spectral measurement method, which comprises the following steps: acquiring a low earth orbit satellite and satellite constellation model, and carrying out two-dimensional surface element grid division on the low earth orbit satellite and satellite constellation model; reconstructing a low earth orbit satellite and a satellite constellation model by using the divided surface element data, establishing different satellite and satellite constellation model scenes, and obtaining vector data of the satellite and the satellite constellation changing along with the solar altitude angle and the solar azimuth angle; and calculating the luminosity spectrums of satellites and satellite constellations in different observation scenes according to the vector data in combination with a bidirectional reflection distribution function model and an atmospheric radiation transmission model. The invention aims to improve the precision and stability of observation data, and compared with a space-based observation platform, the deployment and recovery cost of the near space observation platform is lower, and the observation position and angle are easier to adjust. The limitation of foundation observation and space-based observation is overcome, the observation precision and flexibility are improved, and an important means of diversified research is supported.

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 system and a method for dynamically and cooperatively adjusting a photovoltaic inclination angle of a mobile wind-solar-storage all-in-one machine. Comprising a multi-source data acquisition module which comprises a GPS positioning unit, a distributed light intensity sensor array, a wind speed and direction sensor and a tilt angle sensor; and the dynamic calculation module is used for calculating the solar altitude according to the positioning information of the GPS positioning unit and the time information, and establishing a quadratic relation model of the irradiance and the incident angle through actual measurement data fitting, so that the irradiance is calculated according to the solar altitude. Environmental parameters are acquired in real time through the multi-source data acquisition module, the optimal irradiance dip angle is determined in combination with the dynamic calculation module, the wind-solar collaborative optimization module dynamically balances the influence of the dip angle of the photovoltaic panel on the air duct of the straight-axis fan, the total power generation amount is maximized, and through real-time monitoring of the environmental parameters, the power generation efficiency is improved. Real-time adjustment is carried out according to weather condition changes, and power generation efficiency is 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 present invention belongs to the field of architectural design and discloses a method for calculating a building's solar energy acquisition potential index. The method comprises the following steps: obtaining the solar azimuth and solar altitude corresponding to sunrise and sunset to form a fan-shaped calculation range, and obtaining a plurality of calculation line segments within the fan-shaped calculation range; obtaining the tangent value of the solar altitude at the time corresponding to the calculation line segment, and the ratio of the height of the blocking building to the distance between the blocking building and the building to be measured, and subtracting the tangent value of the solar altitude from the ratio to obtain a difference; obtaining the approximate direct solar irradiance at the time corresponding to the calculation line segment, and assigning the approximate direct solar irradiance as a weight to the difference to obtain a weighted value; obtaining the central angle ratio of the area to be measured, and obtaining the building shielding factor of the building to be measured based on the central angle ratio and the weighted value. The present invention can be used to compare, select, and optimize different building complex layout plans from the perspective of solar energy acquisition potential.

The invention belongs to the technical field of power systems, and discloses a power intelligent adaptive compensation method and system. The method comprises the steps that the weather state, the environment temperature, the environment humidity, the cloud cover and the time interval in unit time in the future are collected; collecting the longitude and latitude of the area where the photovoltaic power station is located; collecting power key data of the power utilization area in unit time; preprocessing the time interval, the longitude and the latitude to obtain a season value, a solar altitude mean value, a workday label and a time period number; whether the workday and the time interval are considered comprehensively, the prediction accuracy of the reactive power demand is improved, the weather state, the temperature, the humidity, the cloud cover, the solar altitude and the predicted illumination intensity are considered comprehensively, the prediction accuracy of the direct current generating capacity is improved, and reactive power self-adaptive compensation meets the complex and changeable actual demand. And the flexibility and adaptability of reactive power compensation are improved.

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.

A photovoltaic system combined with agriculture relates to the field of photovoltaic technology and is used to save land resources while giving full play to the respective functions of solar greenhouses and photovoltaics. It includes solar greenhouses, which are arranged in rows, and photovoltaic modules are provided on the top of each solar greenhouse and on the ground between each two adjacent solar greenhouses; the spacing between each two adjacent solar greenhouses, and the height and position of the photovoltaic modules located on the ground are such that when the solar altitude angle is minimum, sunlight irradiates all the photovoltaic panels of the photovoltaic modules located on the ground. Through the combination of solar greenhouses and photovoltaic modules, the present invention can reasonably utilize the idle area between solar greenhouses and the space above the solar greenhouses to build photovoltaic modules for photovoltaic power generation; by designing the spacing between solar greenhouses and the height position of photovoltaic modules, when the solar altitude angle is minimum, the entire photovoltaic module between two adjacent solar greenhouses can be irradiated with sunlight, thereby making full use of sunlight.

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.

The invention provides a control method and related equipment of a shutter type sky curtain control system in a vehicle, the control method and related equipment are applied to a controller in the shutter type sky curtain control system, and the system at least comprises a transmission motor, a transmission rack, the controller and a plurality of fan blades; the method includes: determining a solar elevation angle of the vehicle; according to the course angle of the vehicle, the target sun light inlet amount and the sun elevation angle, the target rotation angle of the fan blades is obtained, and the target sun light inlet amount is the sun light inlet amount needed by the vehicle; according to the louver type sky screen control system, the gear and rack meshing connection structure is adopted, the stability is higher, maintenance and replacement are convenient, the cost is low, the sun light inlet amount can be controlled according to different requirements in combination with the position where a vehicle is located, and the problem that according to an existing sky screen mechanism, a sliding rail is used as a sky screen mechanism, and the service life of the sky screen mechanism is prolonged is solved. The problems that cost is high, damage is prone to occurring, abnormal sound and deformation are generated after the sliding rail is assembled with a vehicle, and consequently the sliding rail is replaced frequently exist in the prior art.

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.