44 results about "Solar altitude" patented technology

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.

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.

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

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

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

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 invention provides a new energy power generation output prediction method based on terrain and meteorological parameters, and the method comprises the steps: obtaining digital elevation model data and meteorological observation data of a target region, and the meteorological observation data comprise wind speed, wind direction and solar radiation intensity; determining topographic feature parameters of the monitoring points through a topographic analysis algorithm; establishing a spatial interpolation model of the topographic features and the meteorological parameters by adopting an interpolation method to obtain a topographic climate basic data set; analyzing a wind field distribution rule under a topographic condition according to the topographic climate basic data set to obtain a wind field distribution correction data set; determining an effective solar radiation receiving amount through a radiation transmission model in combination with the wind field distribution correction data set and a solar altitude angle to obtain a radiation receiving distribution data set; and determining fluctuation characteristics of the hourly generated output prediction data set through a time sequence analysis algorithm to obtain a multi-time scale output fluctuation prediction model and a confidence interval range.

The invention relates to the field of street lamps, and discloses an angle-adjustable energy-saving lighting street lamp which comprises a lamp pole, a photovoltaic panel arranged at the top end of the lamp pole and a lamp holder arranged on the lamp pole and used for mounting a lamp body, and further comprises an adjusting assembly arranged on the lamp holder and connected with the lamp body, the mounting bracket is used for adjusting the mounting angle of the lamp body; according to the solar street lamp, flexible adjustment of the installation angle of the lamp body can be achieved, the angle of the lamp body can be automatically adjusted according to changes of the solar elevation angle and the illumination direction in different seasons and different time periods through the design, the lamp body is made to be located at the optimal illumination receiving position all the time, and therefore the illumination receiving effect is improved. The surface of the photovoltaic panel can be automatically cleaned along with movement of the adjusting assembly, dust, sundries and other attachments on the surface of the photovoltaic panel are effectively removed, cleanliness of the surface of the photovoltaic panel is kept, and it is ensured that the photovoltaic panel can continuously and efficiently conduct photovoltaic conversion.

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.

The invention discloses a solar heating sublimation device which comprises a machine base, a lower ejector pin support, a rotating platform, an electric push rod, a plane mirror assembly, a concave mirror assembly, a double-thread screw set, an outer tooth rotation support, a pinion, a motor assembly, a focusing lens assembly, a sublimation box, a sun level tracker and a sun height tracker. The device is driven to rotate by controlling the relative rotation of the motor assembly and the outer tooth rotation support through the sun level tracker, and the pitching action of the electric push rod is controlled through the sun height tracker. The device is characterized in that sunlight is reflected by a plane mirror assembly to irradiate a concave mirror assembly at the top of the device, then is reflected and focused by the concave mirror assembly and is focused by a focusing lens assembly after penetrating through a center hole of the plane mirror assembly, and focus light spots irradiate a sublimation box to heat a working medium in the sublimation box; the working medium may be utilized to a desired workplace. The device is simple in structure, capable of converting solar energy for utilization, wide in application and practical, and can be particularly applied to the field of medical fumigation treatment.

This invention relates to a rooftop photovoltaic (PV) module and a building including the module. The PV module includes at least a support base located vertically above the roof and PV elements. An adjustment unit for adjusting the roof tilt angle is also installed vertically above the support base. The PV module also includes a frame. The frame is equipped with a tilt module. The frame tilts to make the PV elements tilt in accordance with the solar altitude angle change curve, based on the tilt angle changes controlled by the control unit and the tilt module. Specifically, the adjustment unit adjusts the tilt angle of the frame according to the solar declination, ensuring the tilt angle conforms to the current solar declination, while the tilt module adjusts the tilt angle of the frame according to the solar hour angle, ensuring the tilt angle conforms to the current solar altitude angle. This invention proposes a three-in-one roof tilt angle tracking system integrating roof tilt angle, PV element tilt angle, and roof orientation adjustment methods, which can improve the efficiency of rooftop PV elements.

A method and apparatus for simulating sunlight and sky illumination are disclosed. The method includes calculating the sky light color at different celestial altitudes in a given region, and the PWM signal information required to control the corresponding LED light source module, based on the volumetric scattering coefficient of the atmosphere in different regions and the photoelectric parameters of the LED light source module. Based on the solar altitude angle, atmospheric optical quality, and extraterrestrial radiation spectrum, the method calculates the sunlight color at different times, and the PWM signal information required to control the corresponding LED light source module. In response to a user command, the LED driver module outputs the PWM signal information to control the LED light source module. This invention enables the simulation of sky light color at different celestial altitudes in different regions, the color of sunlight at different times and dates in different geographical locations, the change from sky light color to sunlight color, and the synchronous change of sky light color and sunlight color.

The invention discloses a short-term photovoltaic power prediction method and system based on data mechanism combined driving. The method comprises the following steps: acquiring the geographic latitude, the solar declination angle and the solar hour angle of a photovoltaic power station to be predicted; calculating a solar elevation angle according to the geographic latitude, the solar declination angle and the solar hour angle, and determining the projection direction of the sun in the horizontal plane to obtain a solar azimuth angle; calculating the ideal irradiance of a photovoltaic panel plane based on the solar elevation angle and the solar azimuth angle in combination with the photovoltaic panel arrangement parameters of the photovoltaic power station to be predicted; introducing ideal irradiance of a photovoltaic panel plane to establish a photovoltaic power prediction probability neural network PNN model; and constructing a photovoltaic power prediction neural network PVFNN model by combining a long short-term memory network LSTM on the PNN model, and realizing short-term photovoltaic power prediction by using the PVFNN model. According to the method, the irradiance model in ideal weather is organically embedded into the neural network, learning in a data driving process is constrained, and a predication result with interpretability can be obtained.

The invention discloses a pitching linkage tracking solar photovoltaic power generation support which comprises a photovoltaic assembly and an assembly support used for installing the photovoltaic assembly, the front side of the assembly support is hinged to a row of front stand columns, a row of screw rod rear stand columns are arranged on the rear side of the assembly support, lifting nuts are connected to the screw rod rear stand columns in a screwed mode, and the lifting nuts are hinged to the assembly support. A lifting seat is movably supported on the lifting nut, a worm and gear pair is connected between the lifting nut and the lifting seat, a lifting ejector rod is hinged to the lifting seat, and the upper end of the lifting ejector rod is hinged to the assembly support. The front stand columns and the screw rear stand columns are fixedly connected with a foundation. The lifting seat is sleeved on a shaft neck of the lifting nut, the lifting seat is positioned above the lifting nut, and a plane bearing is arranged between the lifting seat and the lifting nut. By adopting the pitching linkage tracking solar photovoltaic power generation support, the height position of the sun can be tracked, and the power generation efficiency is improved.

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.

The invention discloses a high and cold tunnel snow protection shed illumination regulation and control method based on external visual conditions, and relates to the technical field of tunnel illumination control, and the method comprises the following steps: obtaining four types of optical environment parameters, namely external illumination intensity, visibility, accumulated snow reflectivity and solar altitude, in order to realize the illumination regulation and control of a snow protection shed; and uniformly mapping the illumination change information corresponding to each parameter into the same time sequence according to a time sequence, and generating an external illumination change curve. According to the invention, the dynamic synchronization and smooth transition of the illumination brightness are realized by establishing the time corresponding relation between the external illumination change and the illumination brightness response of the snow protection shed. Brightness flicker is eliminated through early triggering and step-by-step adjustment, and self-adaptive regulation and control are realized in combination with rolling correction, so that the illumination of the snow-proof shed is kept continuous and stable under complex illumination conditions, and the driving visual comfort and the driving safety are improved.

The invention relates to the field of photovoltaic supports, and particularly provides a self-adaptive photovoltaic support which comprises a main support, a first supporting leg, a telescopic part and a second supporting leg. One side of the main support is hinged to the first supporting leg, a temperature sensing material is arranged in the telescopic part, the temperature sensing material generates volume change based on the change of the environment temperature so as to change the length of the telescopic part, and one end of the telescopic part is hinged to the side, away from the first supporting leg, of the main support; the second supporting leg is hinged to the end, away from the main support, of the telescopic piece. The length of the telescopic piece is controlled through the temperature sensing material, the temperature is low in winter, and the dip angle of the main support is increased to be matched with the low solar altitude in winter; when the temperature rises in summer, the inclination angle of the main support is reduced to adapt to a high solar elevation angle in summer, so that the inclination angle is automatically adjusted all year round, external energy input and manual intervention are not needed, and the power generation efficiency and stability of the photovoltaic support all year round are improved.

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.

The application discloses a high-cold tunnel snow-preventing shed lighting regulation and control method based on external visible conditions, relates to the technical field of tunnel lighting control, and comprises the following steps: in order to realize snow-preventing shed lighting regulation and control, four types of optical environment parameters, i.e., external light intensity, visibility, snow reflectivity and solar altitude, are acquired, illumination change information corresponding to each parameter is uniformly mapped into a same time sequence in time sequence, and an external illumination change curve is generated. The application realizes dynamic synchronization and smooth transition of lighting brightness by establishing a time corresponding relationship between external illumination change and snow-preventing shed lighting brightness response. Brightness flicker is eliminated by early triggering and step-by-step regulation, and adaptive regulation is realized in combination with rolling correction, so that the snow-preventing shed lighting can be continuously stable under complex illumination conditions, and driving visual comfort and driving safety are improved.

The utility model discloses a mounting bracket with wind direction adjustment and a photovoltaic module, the mounting bracket with wind direction adjustment comprises a bottom frame, the upper surface of the bottom frame is fixedly connected with a fixing frame, the fixing frame is provided with a motor, the motor is rotatably provided with a connecting frame, and the connecting frame is provided with a wind direction adjusting device. A first wind direction adjusting mechanism and a second wind direction adjusting mechanism are installed on the connecting frame, the photovoltaic assembly is driven by the motor to rotate, the angle of the photovoltaic panel is changed, the photovoltaic panel is made to face the sun all the time, direct sunlight is received as much as possible, and the limitation that a fixed installation support cannot adapt to changes of the height of the sun in different seasons is overcome. The first wind direction adjusting mechanism and the second wind direction adjusting mechanism synchronously rotate along with the connecting frame, the wind guiding effect on the photovoltaic panel is guaranteed, air flow is promoted through the fan, and the airflow direction is changed through the multiple wind direction channels formed by the wind guiding plates, so that the air flowing condition around the photovoltaic panel is optimized, and the wind guiding effect is improved. The wind resistance is reduced; and the damage to the photovoltaic panel is avoided.

The invention relates to the technical field of vehicle intelligent comfort control, and discloses an automatic control method and system for a vehicle sunshade curtain, and the method comprises the steps: obtaining a sun incidence parameter set; constructing a solar ray direction vector; judging the side window glare accessibility; constructing a shading effect index of the sunshade curtain; executing sunshade curtain control based on a control mechanism of shielding income consistency verification; and whether the sunshade curtain folding operation is executed or not is judged. Compared with the prior art, the technical problem that whether the action of the sunshade curtain can generate an actual shielding effect on the glare of the driver or not is difficult to judge in a control mode that the action of the sunshade curtain is triggered only according to an environment illumination intensity threshold value especially under the driving conditions that the solar altitude is low in the morning and evening and sunlight enters from the side front is solved. According to the method, side window glare accessibility judgment and shielding effect quantitative evaluation are introduced, and shielding income consistency verification is combined, so that the action effectiveness of the sunshade curtain is accurately judged.

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.

This application provides a vehicle temperature adjustment method, electronic device, and vehicle. The method includes: acquiring the solar altitude angle and driving deflection angle based on the vehicle's location and current time, wherein the driving deflection angle is the angle between the vehicle's driving direction and the projection of sunlight onto the ground plane; acquiring the vehicle's side area and irradiance data, wherein the vehicle side area is the sum of the areas of multiple different regions of the vehicle; obtaining the direct irradiance based on the vehicle side area, solar altitude angle, and driving deflection angle, wherein the direct irradiance characterizes the magnitude of the heat load generated by the vehicle under sunlight; correcting the irradiance data using the direct irradiance; and adjusting the operating data of the vehicle's interior temperature control system based on the corrected irradiance data. This application can solve the problem that when a certain area of ​​the vehicle is exposed to high intensity sunlight, the interior temperature rises sharply, seriously affecting the passenger's driving experience.