112 results about "Solar zenith angle" patented technology

The invention belongs to the technical field of photovoltaic power generation, and provides a photovoltaic module dip angle and azimuth angle optimization method and system based on hour electricity price, and the method comprises the steps: firstly determining a solar elevation angle and a solar azimuth angle according to a geographic position; determining an incident angle between sunlight and the surface of the photovoltaic module according to the solar elevation angle and the solar azimuth angle; then, according to the incident angle and the irradiation data, the hour effective radiation power of the photovoltaic module under any angle combination is determined, so that the total generation power is obtained; constructing a unit area annual income objective function by using the hour electricity price as a weight; and finally, according to the objective function, determining an optimal combination of the inclination angle and the azimuth angle of the photovoltaic module. Hour-level sun position calculation and incident angle radiation modeling are introduced, and a revenue function is constructed by taking the hour-by-hour electricity price as a weight, so that the optimal combination of the dip angle and the azimuth angle of the photovoltaic module under the optimal economical efficiency is realized.

The invention relates to the field of meteorological prediction, in particular to a multispectral-based all-day sea fog detection method, and solves the problems of failure of a morning and evening period detection algorithm, insufficient sea fog and low cloud distinguishing precision, split algorithm flow and lack of systematicness in the current sea fog detection field. The method specifically comprises the following steps: acquiring satellite data, preprocessing the satellite data, and calculating a solar zenith angle SZA of each pixel; distributing each pixel to a corresponding processing mode according to the value of the SZA; on the basis of the distributed processing mode, adaptive spectrum preliminary screening of the corresponding mode is executed, and a preliminary screening binary mask is generated; based on the processing mode, performing regional texture consistency analysis on the primarily screened binary mask to effectively relieve low cloud interference; and performing post-processing optimization on the reserved sea fog area, and outputting a final sea fog detection result. High-precision and high-stability detection of all-day sea fog can be achieved, good performance is still kept in the morning and night transition period, and sea fog and low clouds can be effectively distinguished.

The invention belongs to the field of satellite remote sensing fire monitoring, and discloses a satellite remote sensing forest fire initial fire point monitoring method, which comprises the following steps: acquiring satellite data as input data; reading the zenith angle of the sun in the satellite data, and judging the time period as a day time period, a night time period and a morning and night junction time period; the solar zenith angle, the sensor zenith angle and the like need to be read in daytime period data so as to filter solar flares; carrying out simple cloud detection on data in all time periods by utilizing 11-micron channel brightness temperature and 11-4-micron channel brightness temperature, expanding an adaptive window by taking a suspected initial fire point pixel as a center, and calculating 4-micron channel brightness temperature difference, 11-micron channel brightness temperature difference and 4-11-micron channel brightness temperature difference of a background pixel by utilizing a time sequence method; and counting the mean value and the standard deviation of the background pixels, and confirming and extracting a forecast initial fire point by using a normal distribution starting point algorithm. According to the method, the timeliness and accuracy of early warning of the fire disaster are improved, and important technical support is provided for forest fire prevention decision making.

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 discloses an optical scanning radiometer in-orbit dark background long time series data extraction method and system, and the method comprises the steps: obtaining cold air observation data and solar zenith angle data from an optical scanning radiometer, and generating a channel-level cold air observation data set and a channel-level solar zenith angle data set. According to the channel-level cold air observation data set and the channel-level solar zenith angle data set, various screening methods are adopted to generate to-be-selected schemes and screening data sets of the to-be-selected schemes. For each to-be-selected scheme, calculating a statistical mean value and data volatility based on a screening data set of the to-be-selected scheme, calculating a dark background representative value of the to-be-selected scheme, and determining a mean value sorting sequence number and a volatility sorting sequence number; and determining an optimal dark background value scheme by adopting a weighted assignment method according to the mean sorting sequence number and the volatility sorting sequence number. Therefore, according to the in-orbit dark background long-time-sequence data extraction method of the optical scanning radiometer, long-time-sequence stable extraction is achieved, and the remote sensing data radiometric calibration precision is remarkably improved.

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

The application discloses a kind of floating offshore solar radiation measurement data correction method and system, it includes the following steps: obtaining the pitch angle and roll angle of floating offshore solar radiation measurement system;Obtain the unit normal vector of the measuring plane pointing to the sky in the horizontal plane rectangular coordinate system;Calculate the angle between the measuring plane and the horizontal plane;Get horizontal plane solar zenith angle and azimuth angle;Construct the unit vector along the direction of sunlight incidence pointing to the sun;Correct the zenith angle;Calculate the horizontal plane scattered irradiance value;The horizontal plane total irradiance saved by floating offshore solar radiation measurement system is corrected, and the corrected horizontal plane total irradiance is obtained.The measurement data of the floating offshore solar radiation measurement system is corrected by the application, the measurement error caused by the inclination of the measurement platform caused by wind and wave is reduced, and more accurate measurement data is provided for the evaluation of offshore light resources and the planning of offshore photovoltaic power station.

The application discloses a kind of inclined surface hourly solar radiation calculation method and related equipment, belong to solar energy resource assessment and building energy saving technical field.The method includes: obtaining horizontal plane solar radiation data and space-time information, and the inclination and azimuth of target inclined surface;Calculate solar elevation angle, solar incidence angle, clear sky index and horizontal plane scattering radiation ratio;Two scattering radiation conversion coefficients are obtained by using two basic models respectively;At least according to clear sky index, horizontal plane scattering radiation ratio and solar incidence angle to determine dynamic weight;Two scattering radiation conversion coefficients are weighted and summed with dynamic weight, to obtain combined scattering radiation conversion coefficient, and then obtain inclined surface hourly solar total radiation.The method is combined by dynamic weight based on weather state and solar position real-time change to two basic models with obvious difference in weather adaptability, overcome the limitation that single model is only accurate under certain weather, and does not depend on multi-regional long-term measured data, improve the calculation accuracy and applicability under all weather types.

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.

This invention provides a method, apparatus, electronic device, and storage medium for calculating cloud judgment parameters. The method includes: determining the satellite position vector, solar vector, and satellite attitude matrix in the cloud judgment time inertial frame based on the time interval between the current time and the cloud judgment time; calculating the position information of the ground imaging point corresponding to each pixel after the time interval based on the satellite payload installation information, pixel line-of-sight information, and the satellite position vector and satellite attitude matrix in the cloud judgment time inertial frame; and calculating the cloud judgment parameters for each ground imaging point based on the position information of the ground imaging point corresponding to each pixel after the time interval and the solar vector in the cloud judgment time inertial frame. The cloud judgment parameters include at least one of the following: satellite zenith angle, solar zenith angle, geographic latitude and longitude, and relative azimuth angle. This solution can provide cloud judgment parameters for the cloud judgment process of satellite payloads.

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.

The application relates to the field of weather prediction, in particular to a full-time sea fog detection method based on multispectrum, which solves the problems of invalid detection algorithm in the morning and evening period, insufficient precision in distinguishing sea fog and low clouds and lack of systematicness in the current sea fog detection field. Specifically, the method comprises the following steps: acquiring satellite data and performing pretreatment, calculating the solar zenith angle (SZA) of each pixel; according to the value of the SZA, each pixel is assigned to a corresponding processing mode; based on the assigned processing mode, adaptive spectral preliminary screening of the corresponding mode is performed to generate a preliminary screening binary mask; based on the processed mode, regional texture consistency analysis is performed on the preliminary screening binary mask to effectively alleviate the low cloud interference; the retained sea fog area is post-processed and optimized to output the final sea fog detection result. The application can realize high-precision and high-stability detection of full-time sea fog, still maintains good performance in the morning and evening transition period, and can effectively distinguish sea fog and low clouds.

The invention discloses a method for establishing a temperature gradient of a double-layer steel truss girder under solar radiation, which comprises the following steps of: S1, calculating a solar elevation angle alpha s (t) and a solar azimuth angle gamma (t) according to the latitude and longitude of a bridge site, an hour angle and a solar declination; projecting the solar ray vector to the cross section of the main beam according to the included angle xi between the axis of the main beam and the east-west direction to obtain a solar incident angle theta (t) in the cross section; s2, respectively deducing solar radiation areas of an upper-layer bridge floor, a lower-layer bridge floor and web members on the basis of a solar incident angle theta (t) and geometric parameters of the bridge; s3, establishing a temperature field formula related to the solar radiation duration, the air temperature, the material attribute, the surface direction and the coating; s4, temperature gradients of the upper-layer bridge floor, the lower-layer bridge floor and the web members are calculated according to the solar radiation area and a temperature field formula, and the most unfavorable temperature gradient and the corresponding moment are determined; according to the scheme, a reliable temperature working condition basis is provided for temperature effect analysis, stress evaluation and structural design of the double-layer steel truss girder.

The application discloses a red tide polarization database acquisition device and method based on a polarization bidirectional reflection model, belongs to the technical field of data acquisition devices, selects a polarization bidirectional reflection model to perform modeling, and performs data acquisition on related data such as different solar zenith angles, different solar azimuth angles, different observation zenith angles, different observation azimuth angles, different wind speeds, different wind directions, different seawater temperatures and different seawater salinities in different regions of the sea through the red tide polarization database acquisition device. In actual testing, the theoretical formula derivation is compared with the actual acquisition result, if the confidence degree is more than 60%, the model is confirmed to be accurate, otherwise, the model is optimized, secondary modeling is performed to increase the fitting degree of the model, and the purpose of accurately identifying red tide dominant species is achieved, and the prediction accuracy of red tide is improved. The application solves the problems that the existing polarization database lacks data of red tide dominant species, a large amount of manpower and material resources are required to detect and analyze collected red tide water sample, and the efficiency is low and the cost is high.

The application relates to a kind of super-short-term irradiance measurement methods based on feature mining and Seq2Seq model, the method comprises the following steps: through the abnormal data cleaning rule, the abnormal data of night or continuous zero irradiance is excluded, the difference feature is generated using multivariate scale self-adaptive difference construction method, and the solar elevation angle time sequence feature is reconstructed in combination with space-time dynamics, the negative value is retained to enhance the difference of adjacent date; the local nonlinear relationship of solar elevation angle and meteorological variable is extracted using learnable convolution kernel, and the feature is fused and spliced through full connection layer; a CDAtt-LSTM hybrid model is constructed, based on Seq2Seq architecture, a double-layer LSTM is used to process historical data in the encoder, the encoder and decoder historical state are fused through the cross-stage dynamic attention mechanism in the decoder, and a stage weight function is introduced. The application significantly improves the accuracy and stability of irradiance prediction through the dynamic coupling of physical characteristics and deep learning.

The invention discloses an ultraviolet index-based solar irradiation intensity prediction and correction method for a photovoltaic power station, and the method comprises the steps: obtaining free ultraviolet indexes, cloud layer parameters and conventional meteorological data through an API interface, firstly calculating the total ultraviolet intensity in an ideal state, and then correcting the total ultraviolet intensity in combination with an atmospheric attenuation factor and a cloud layer correction factor; dynamically determining the proportion of ultraviolet rays in the total solar irradiation intensity according to the solar altitude, and reversely deducing the initial total solar irradiation intensity; and finally, through real-time data of a local meteorological instrument, a baseline correction and dynamic error correction dual mechanism is constructed, and a prediction result is optimized. Through fusion of multiple meteorological factors, the prediction error is less than 10%, the photovoltaic power prediction system can be directly connected, and low-cost and high-precision data support is provided for optimized operation of the photovoltaic power station.

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 utility model relates to the technical field of demonstration instruments, in particular to an object shadow length change demonstration instrument which comprises a supporting arm, a sliding groove is formed in the lower surface of the inner side of the supporting arm, a sliding shaft is arranged in the sliding groove in a sliding mode, a demonstration board is fixedly arranged on one side of the sliding shaft, and a plurality of annular grooves are formed in the surface of the upper end of the demonstration board. A sliding baffle in a storage box is inserted into an annular groove, and a motor is started to drive a lead screw to rotate, so that a threaded sleeve is driven to move, a sliding sleeve is driven to slide on the surface of a sliding rod, a light source is driven to move, and the direct solar radiation condition is presented; the conclusion that the solar altitude is gradually decreased from a direct solar radiation point to all directions, the shadow length of an object is gradually increased from the direct solar radiation point to all directions, the noon solar altitude is gradually decreased from the latitude of the direct solar radiation point to two poles, and the noon solar altitude and the shadow length of two wefts with the same degree from the latitude of the direct solar radiation point are consistent is obtained.

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 present application relates to the technical field of satellite, in particular to a kind of solar elevation angle calculation method of multi-view axis reference.The view axis is executed for each view axis, and reference coordinate system of view axis is constructed;According to the current attitude of the satellite carrying the view axis and the reference coordinate system of the view axis, the attitude of the view axis under the reference coordinate system is calculated;According to the scaling matrix of the earth ellipsoid under the inertial system, the satellite position vector under the inertial system, the attitude of the view axis under the reference coordinate system, the conversion matrix from the inertial system to the orbital system and the earth radius, the distance vector from the center of the earth to the view axis pointing point in the inertial system is determined;According to the distance vector from the center of the earth to the view axis pointing point in the inertial system, the scaled vector from the center of the earth to the view axis under the inertial system and the unit vector of the sun under the inertial system, the solar elevation angle of the view axis pointing point is determined.The present application can simultaneously accurately calculate the solar elevation angle for multi-view axis reference.

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 invention discloses a sunlight analysis and measurement method based on aerial survey of an unmanned aerial vehicle, which comprises the following steps of: adjusting flight parameters of the unmanned aerial vehicle in real time according to a solar altitude to realize dynamic illumination compensation; building image data are collected through multi-camera oblique photography; ground and facade image control points are arranged, and the density is dynamically adjusted; a live-action model is generated through three-dimensional reconstruction, and curvature-driven lightweight processing is carried out; dynamically selecting a solar declination angle calculation formula and calculating an elevation angle and an azimuth angle; and a sunlight conical surface algorithm is adopted to analyze the shielding condition and generate a visual report. The method effectively improves image quality consistency, three-dimensional model precision and sunlight analysis reliability, and is suitable for the field of urban and rural planning and building sunlight assessment.

The invention discloses a multi-tower-limb steel-concrete combined bridge tower temperature gradient establishing method which comprises the following steps: S1, calculating a solar azimuth angle and a solar elevation angle according to the solar declination, the regional latitude and the hour angle at a bridge site; s2, based on the solar azimuth angle, the solar elevation angle, the bridge trend and the geometric parameters of the tower limbs, radiation areas under the self-shielding state of the tower wall, the mutual shielding state of the tower limbs and the external shielding state are calculated; s3, the atmospheric temperature is calculated according to the meteorological data, and heat conduction calculation is conducted in combination with the tower wall comprehensive temperature; s4, temperature gradient models in the tower wall self-shielding state, the tower limb mutual shielding state and the outside shielding state are established; and S5, based on the temperature gradient model, temperature gradient modes of the steel tower column section, the concrete tower column section, the concrete tower wall and the steel-concrete combined section are established respectively, and the scheme can provide complete technical support for temperature effect analysis and design of the multi-tower-limb steel-concrete combined bridge tower.

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

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

The invention relates to a method and device for evaluating the power generation capacity attenuation rate of a solar cell panel, and the method comprises the steps: obtaining a sun-Mars ephemeris, and calculating a solar elevation angle, an azimuth angle, a solar fire distance, a sunlight incident angle and an ideal zenith irradiation dose per unit area at a current imaging moment according to the sun-Mars ephemeris; performing radiation correction on each image pixel value of the visible light image according to the terrain reflection influence factor of each pixel point to obtain a corrected pixel value sequence; based on a preset standard atmospheric refractive index and the correction pixel value sequence, using a Rayleigh scattering model to invert a relative atmospheric refractive index at an imaging moment; and based on the ideal zenith irradiation dose per unit area, the sunlight incident angle and the relative atmospheric refractive index, calculating the theoretical non-attenuation power generation power of the solar cell panel, and comparing the theoretical non-attenuation power generation power with the actual power generation power to obtain the power generation capacity attenuation rate. Through the method provided by the invention, atmosphere relative light depth changes at different imaging moments can be inverted, and the accuracy of theoretical non-attenuation generation power calculation is improved.

The application belongs to the technical field of lighting, and particularly relates to a lighting device control method, a computer readable storage medium and a lighting device. The method comprises the following steps: determining a solar elevation angle of a geographical position of a lighting device at a target moment; determining atmospheric optical quality of the target moment according to the solar elevation angle; determining a ground spectrum of the target moment according to the atmospheric optical quality and a preset extraterrestrial radiation spectrum; determining a color temperature of the target moment according to the ground spectrum and a preset tristimulus value function; and performing color temperature control on the lighting device according to the color temperature at the target moment. In the application, astronomical parameters and atmospheric radiation transmission parameters that influence natural sunlight are fully considered, and the accuracy is high, so that a better natural sunlight simulation effect can be achieved.

The invention discloses an adjustable supporting device used for a photovoltaic panel, and relates to the technical field of photovoltaic equipment, the adjustable supporting device comprises a plate frame, the bottom of the plate frame is provided with a supporter, the bottom of the supporter is provided with an angle adjuster, and the surface of the angle adjuster is provided with a fixer. According to the adjustable supporting device for the photovoltaic panel, the purposes of being capable of being installed in an uneven terrain and capable of automatically removing snow are achieved, stable anchoring can be achieved through the structure that an embedded rod goes deep into the ground to be matched with a rotary piece to grip the ground, an additional leveling procedure is not needed, the requirement for an installation site is lowered, automatic reset and relocking can be achieved after accumulated snow is removed, and the installation efficiency is improved. Manual intervention is not needed, manpower and material cost for long-term maintenance is reduced, angle adjustment is achieved through a mechanical self-locking structure, the position can be stably locked after adjustment, it is ensured that the photovoltaic panel adapts to the change of the solar elevation angle, the light energy absorption efficiency is maximized, the angle adjustment process does not need to disassemble or move assemblies, and operation is convenient and fast.

The embodiment of the application provides a kind of double-axis tilting solar light condensing device, it is related to solar light condensing heat collection technical field.The double-axis tilting solar light condensing device provided by the embodiment of the application, including base;Reflecting mirror is set on base, reflecting mirror is used to reflect sunlight;Double-axis tilting assembly is set on base, and is connected with reflecting mirror, double-axis tilting assembly is configured as driving reflecting mirror rotates around east-west direction and / or north-south direction;Heat collecting pipe is located on the light condensing axis of reflecting mirror, to absorb the sunlight reflected by reflecting mirror.By controlling double-axis tilting assembly to drive reflecting mirror to realize double-axis rotation according to the change of solar elevation angle, so that reflecting mirror can follow the change of solar elevation angle and tilt, to increase the incidence angle of sunlight, in turn increase the light condensing efficiency of reflecting mirror, improve the annual solar radiation received by double-axis tilting solar light condensing device.