128 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 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 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 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 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 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 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 relates to an outdoor intelligent all-sky narrow-band imager system, and the system comprises an all-sky transparent protection hemispherical cover which is fixedly disposed at the top of a metal frame. According to the invention, the hemispherical transparent acrylic cover is combined with the frost prevention heater, the internal circulating fan and the automatic temperature and humidity regulator, so that real-time monitoring and intelligent regulation and control of the environment in the cover are realized, and the problem that the imaging quality is reduced due to condensation and frosting is effectively avoided; a detachable narrow-band optical filter assembly and a high-sensitivity imaging detector are introduced into the optical system, stray light of a non-target wave band is effectively filtered out, the imaging signal-to-noise ratio is remarkably improved, high-precision capturing of a specified narrow-band wave band under the all-weather condition is guaranteed, the system is embedded into an industrial personal computer, intelligent processing and remote transmission of environment parameters and image data are achieved, and the system is suitable for popularization and application. And meanwhile, the image acquisition opportunity is intelligently controlled in combination with calculation of a geographic position and a solar altitude angle, so that invalid acquisition caused by rain, snow and cloudy weather is avoided.

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.