13 results about "Solar altitude" patented technology

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.

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.

This invention provides a method for calculating the optimal time for rolling up greenhouse curtains. The method includes the following steps: calculating the solar altitude angle h for a given region, date, and time; obtaining the temperature equilibrium time point inside the greenhouse during winter; calculating the solar altitude angle h of the temperature equilibrium point inside the greenhouse on different dates during winter; and calculating the optimal curtain-rolling time T for different dates in the given region during winter. The method provided by this invention has the advantage of being able to calculate the optimal curtain-rolling time for greenhouses on different dates and in different geographical locations during winter without relying on complex sensors inside the greenhouse, by integrating geographical information, astronomical parameters, and historical observation data. This improves the utilization of climate resources and effectively mitigates meteorological disasters in facility agriculture.

This invention discloses a method and system for orbit determination of BeiDou satellites by compensating for solar radiation pressure using a deep learning network. Addressing the problem of limited orbit determination accuracy due to inaccurate estimation of solar radiation pressure parameters under regional observation networks, this invention acquires raw satellite observation data and space weather data to construct a dataset containing features such as satellite position, velocity, acceleration, attitude, solar altitude angle, and geomagnetic index. A gradient boosting tree algorithm is used to filter key features; a Transformer network containing only the encoder is used to predict radiation pressure acceleration errors; a virtual observation equation is constructed based on the prediction error and jointly solved with the GNSS observation equation to constrain ECOM radiation pressure parameter estimation; and residual detection is introduced to eliminate outlier predicted values. This invention significantly improves the orbit determination accuracy of BeiDou satellites under regional station networks without requiring additional hardware, and exhibits stable performance across different regions and with different numbers of stations.

This application relates to a multi-angle spectral response testing device and system for photovoltaic modules. The multi-angle spectral response testing device for photovoltaic modules includes: a base, a protractor, a telescopic component, a rotating stage, and a photodetector. In actual use, the photodetector continuously monitors the operating conditions of the light source (such as solar orbit movement, seasonal changes, or installation tilt adjustments). The telescopic component moves up and down according to the operating conditions of the light source detected by the photodetector, thereby moving the photovoltaic module on the rotating stage to a specific angle. This allows for testing the spectral response of the photovoltaic module under multi-angle incident light, enabling quantitative evaluation of the spectral response characteristic shift and energy conversion efficiency attenuation caused by dynamic changes in the solar altitude angle in actual working scenarios. This ensures that laboratory data remains consistent with performance indicators under real outdoor conditions.

This invention discloses a shading algorithm for solar energy collection systems using discretization and a dual-model approach, belonging to the field of solar energy utilization technology. The invention discretizes continuous solar rays into a lattice projected onto a heliostat surface; it constructs a dual-shading mathematical model including the shadow of the absorption tower and the shadow between the heliostats, with the area of ​​the absorption tower shadow dynamically changing with the solar altitude angle; and it derives a closed-form formula for calculating shading efficiency based on ray vectors and planar geometry. This invention transforms the calculation of continuous shadow area into a discrete point superposition statistical problem through discretization, improving the accuracy of shading prediction. The dual-model comprehensively evaluates the shading loss between the absorption tower and the heliostats. The closed-form formula eliminates the dependence on complex simulation software and has the advantages of high computational accuracy, clear physical meaning, and ease of engineering implementation, providing a reliable basis for optimizing the layout of solar energy collection systems.

The present application relates to the technical field of intelligent glass, and particularly relates to intelligent hollow glass with adjustable light transmittance and a construction method thereof.The construction method comprises the following steps: determining geographical position coordinates of a target building and an installation orientation of the intelligent hollow glass, calculating daily solar altitude angle and azimuth variation data of the whole year at the geographical position; determining a target light intensity value to be maintained indoors; combining the installation orientation, the solar altitude angle and azimuth variation data and the target light intensity value, and solving a set of optimal geometric parameters of the light-shielding blades through an optimization algorithm, so that the indoor light intensity is most stable and approaches the target light intensity value in the whole year.The present application completely adopts a passive structure, is self-adaptive and balanced in the whole year, and can simultaneously meet the thermal comfort requirements of heat increase in winter and sun-shading in summer through collaborative optimization of the tilt angle, the center distance and the rotation angle, and stably control the indoor light intensity around the target value, thereby significantly improving the indoor light environment comfort.

This invention provides a tilt-adjustable multi-layer photovoltaic panel support structure installed on a windbreak net frame. It includes windbreak net support columns, a fixed rotating component, a photovoltaic panel bracket, an angle-adjustable support column, and a base. One end of the fixed rotating component is clamped to an existing windbreak net support column, and the other end is connected to the end of a rotating shaft at the upper end of the photovoltaic panel bracket. The main support beams on both sides of the photovoltaic panel bracket are connected to the angle-adjustable support column via rotating shafts. The angle-adjustable support column consists of an upper section and a lower section. The bottom end of the lower section is placed in a positioning groove in the base. The splicing length of the upper and lower sections of the angle-adjustable support column is adjusted according to the seasonal solar altitude, causing the photovoltaic panel bracket to rotate, which in turn rotates the photovoltaic panel, placing the photovoltaic panel at the optimal tilt angle for power generation. This invention utilizes an existing windbreak net support structure to install tilt-adjustable photovoltaic panels, maximizing annual power generation, and is easy to operate.

This invention belongs to the field of grounding grid monitoring technology for mountain photovoltaic power stations, and discloses a safety monitoring system and method for grounding grids of mountain photovoltaic power stations. The acquisition unit uses FPGA synchronization technology to synchronously acquire core parameters of the grounding grid, photovoltaic operating condition related data, and layered soil moisture content, capturing the mutual influence between multiple factors. The calculation unit uses pure copper and zinc-aluminum alloy dual reference electrodes to offset the interference of soil temperature and salinity fluctuations on monitoring. Then, it uses adaptive Kalman filtering to filter out harmonic noise and combines the correlation function fitted by measured data to correct the grounding resistance, keeping the error within a low range. The calibration unit implements differentiated calibration strategies for rainy and dry seasons and automatically triggers differential calibration when encountering sudden faults. The photosensitive sensor of the prediction network unit collects changes in light intensity in real time, combines the geographical information stored in the digital altitude model, and calculates the change in solar angle through the solar altitude angle formula to predict the shadow movement trajectory in advance.

This invention discloses a method, device, and medium for detecting polar daytime sea fog / low clouds using multi-source polar-orbiting satellites. The method includes: acquiring and preprocessing remote sensing image data collected by multi-source polar-orbiting satellites; calculating a sea surface identification index using two preset band data from the preprocessed remote sensing image data; then, based on the sea surface identification index and near-infrared band reflectance data from the remote sensing image data, jointly removing areas related to seawater and sea ice / snow from the preprocessed remote sensing image data; calculating the gray-level co-occurrence matrix for each pixel in a third preset band of the remote sensing image data after removing seawater, sea ice, and snow, and statistically analyzing several texture features based on the gray-level co-occurrence matrix; inputting the statistically analyzed texture feature values ​​corresponding to all remote sensing images from polar-orbiting satellites into a trained random forest model to identify and remove mid-to-high clouds, leaving the remaining clouds as sea fog / low clouds. This invention is less affected by satellite differences and variations in solar altitude angle.

The present application relates to the technical field of solar radiation regulation, and particularly relates to a building vertical enclosure solar radiation passive control method, system and medium, steps are as follows: a vertical enclosure dynamic composite critical model is established, a passive switching critical angle of the shading and heat collection mode is determined; a thermal inertia parameter at the same time is synchronously collected to complete timing alignment type thermal inertia synchronous calibration; according to a difference interval of the passive switching critical angle and a real-time solar height, a continuous smooth non-mutation reflection control instruction is generated in combination with a reflection path geometric constraint boundary and an enclosure heat storage and release delay; and an installation angle and an array layout scheme of a reflection structure adapted to a current building facade are output according to the reflection control instruction. The core purpose of the method is ultimately to output a layout and a scheme for guiding the installation of the reflection structure, completely solve the problem of fuzzy installation scheme in the prior art, and directly guide construction, so that the installation of the reflection structure is accurate and adapted to actual working conditions.

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.

This invention provides a method and system for ultra-short-term power prediction of photovoltaic power plants based on solar trajectory process propagation, relating to the field of photovoltaic power generation prediction technology. The method includes: collecting real-time meteorological data, ground-based cloud map data, and historical operating power data of the photovoltaic power plant; calculating solar trajectory process parameters, including continuously changing solar altitude angle and solar azimuth angle, based on the geographical latitude and longitude of the photovoltaic power plant and the prediction time window; generating an initial power prediction curve using a basic prediction model; executing a correction process based on solar trajectory process propagation, constructing a solar ray projection channel model, calculating the additional projection velocity caused by the apparent solar motion by combining the rate of change of the solar trajectory process parameters, superimposing the geometric projection velocity of the cloud movement vector on the ground with the additional projection velocity to obtain a slip velocity vector, using the vector to calculate the propagation time delay parameters of cloud shadows reaching each subarray, and dynamically calibrating the time axis of the initial power prediction curve by translation.