306 results about "Solar zenith angle" patented technology

The embodiment of the invention provides a new energy optical power correction method and system based on weather abrupt change prediction. The method comprises the following steps: identifying a cloud layer type contained in a target area, and obtaining a cloud layer type coverage rate; if the cumulonimbus coverage rate exceeds a first threshold value, predicting a cloud layer movement path in combination with the cloud layer movement vector field to obtain a first cloud layer coverage change sequence; if the layer cloud coverage rate exceeds a second threshold value, an irradiance attenuation coefficient is predicted based on the cloud layer thickness in the meteorological data and the solar altitude angle, and a second cloud layer coverage change sequence is obtained in combination with the ground aerosol optical thickness and the corrected irradiance attenuation coefficient; and monitoring real-time operation data of the power station, combining the first / second cloud layer coverage change sequence, predicting a matching relationship between a cloud layer moving direction and a power station power reduction area by adopting a double-flow Transform architecture, calculating a power fluctuation range corresponding to each power station power reduction area, dynamically adjusting power grid operation parameters of a target area, and determining the power grid operation parameters of the target area. The power grid stability is ensured.

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

The invention relates to the technical field of leaf nitrogen content estimation, in particular to a method for establishing a grassland plant nitrogen content monitoring model based on a remote sensing technology. The method comprises the following steps: controlling an unmanned aerial vehicle platform carrying a narrowband multispectral camera and a linear polarization camera, and collecting a spectral image sequence and a polarization image group at an observation window with a solar zenith angle of 30-40 degrees; extracting a reflectivity value of each wave band in the spectral image sequence, calculating a reflectivity first-order derivative and determining a red edge position offset; extracting horizontal and vertical polarization components in the polarization image group, calculating a polarization degree and constructing a polarization degree difference index; and identifying the center of the fecal spot by searching a pixel with a local maximum polarization degree difference index and red edge position offset blue shift exceeding a preset threshold value. According to the method, excrement spot recognition and remote sensing description of the nitrogen influence range thereof are achieved through double-index complementation of the red edge position offset and the polarization degree difference index.

The invention relates to the technical field of environmental shadow analysis, and discloses an environmental shadow analysis method for photovoltaic power station design, which comprises the following steps: collecting and preprocessing geographic space data of a photovoltaic power station; calculating a solar altitude angle and an azimuth angle based on the pre-processed parameters, and generating a three-dimensional solar direction vector; analyzing the geometric surface of the three-dimensional obstacle model, screening a visible surface patch according to a sun direction vector, and sampling effective projection points; dynamically updating the sun direction vector in a specified time period, and calculating shadow coordinates of projection points on the ground or an inclined plane in each time period; and generating shadow contours of all time periods and combining the shadow contours into a complete influence area. According to the invention, through the dynamic sun trajectory modeling and complex obstacle surface analysis technology and in combination with the multi-modal projection correction and Boolean operation merging strategy, high-precision analysis of shadow spatial-temporal distribution in a complex environment, multi-installation scene self-adaption and dynamic shielding influence quantitative evaluation are realized.

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

The invention belongs to the technical field of remote sensing application, and provides a grassland biomass inversion method based on a radiation transfer model and machine learning, and the method comprises the following steps: obtaining and processing remote sensing data, DEM data and actually measured biomass data of a target region; performing terrain correction by adopting an SCS + C method; performing global sensitivity analysis on input parameters in the PROSAIL model, and calibrating the input parameters according to the global sensitivity analysis; introducing topographic factors into the model, and correcting the solar zenith angle and the observation zenith angle; generating simulated canopy reflectivity data by using the model, and constructing a data set; constructing a lookup table LUT by combining the simulated canopy reflectivity data and the above-ground biomass data, and performing machine learning modeling according to the canopy spectral data set; and verifying the inversion precision, and outputting a grassland above-ground biomass spatial distribution map. According to the inversion method, terrain factors are introduced on the basis of a traditional model, and the adaptability and estimation precision of the model to a complex terrain area are improved by combining a machine learning method.

The invention belongs to the technical field of display equipment optimization, and discloses a display equipment brightness and color temperature control system based on ambient light adaptive adjustment, and the system comprises the steps: collecting multi-sensor data, constructing a polarization responsibility domain matrix, and generating a salt mist scattering field intensity graph; acquiring a solar altitude, and when the altitude meets an abnormal triggering condition, triggering low-angle light field reconstruction, generating an angle-region suppression mapping table, calculating a light compensation coefficient, and generating a suppression-compensation dual-channel instruction set; analyzing instruction conflicts, generating a driving instruction chain, and executing dynamic dimming; calculating a credibility index, freezing a partition voucher and activating a security mode when an abnormal state is triggered, and generating a verification report; and updating a polarization responsibility domain matrix, calibrating a salt mist scattering field intensity graph, optimizing an angle-region suppression mapping table, generating a new generation of control parameter set, and refreshing a final driving instruction chain.

The invention discloses a method and system for optimizing an action route based on urban building shadow shielding, and relates to the field of path planning, and the method comprises the steps: extracting basic parameters of each building in a target region; according to the basic parameters and the solar altitude and azimuth angle at the current moment, determining an initial shielding graph of each building, and obtaining an urban building shielding distribution diagram; and extracting target area road vector data, determining the shading length of each road section according to the urban building shading distribution diagram, and selecting a final decision route according to the shading length proportion of the potential decision route. When the travel route is decided, by considering the shading conditions of different road sections, the route with better road thermal comfort can be selected, and the travel quality of people is improved.

The invention provides an atmospheric correction method and device for a solar zenith angle lower coastal water area radiation signal. The method provided by the invention comprises the following steps: generating noon remote sensing reflectivity satellite data based on observation data of a coastal water area by utilizing an ultraviolet-near infrared atmospheric correction combination model; utilizing a maximum cross correlation method to obtain adjusted noon remote sensing reflectivity satellite data based on the spatial resolution and the time resolution of the data; calculating a Rayleigh correction radiance based on a Rayleigh scattering lookup table corresponding to the observation data, and matching the Rayleigh correction radiance with the adjusted noon remote sensing reflectivity satellite data based on time information and position information to obtain a training set; and inputting the to-be-corrected coastal water area radiation signal into the model trained based on the training set, and determining the off-water radiance of the radiation signal. According to the method and the device provided by the invention, atmospheric correction of a coastal water area radiation signal at a high solar zenith angle is realized for a turbid coastal water area.

The invention relates to an old transformer electrical parameter detection method and system of a mobile substation, and relates to the technical field of transformers, and the method comprises the steps: obtaining electrical detection parameters; when the electrical detection parameter is inconsistent with the reference electrical parameter, a trigger signal is output; acquiring environment detection information, current time and vertical height; calling a light angle according to the environment detection information; determining a solar altitude according to the current time and the light angle; determining the central position of the shadow according to the solar altitude and the vertical height; calculating the difference between the shadow center position and the transformer center position as a protection distance; determining the extension length and the rotation angle according to the protection distance and the solar altitude; and forming protection control information from the vertical height, the extension length and the rotation angle and outputting the protection control information to a protection device. According to the invention, the vehicle-mounted mobile transformer substation can conveniently carry out emergency repair on the transformer substation.

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

The invention provides a photovoltaic system tracking method based on an astronomical tracking algorithm. The method comprises the following steps: acquiring historical environment data and real-time environment data; respectively calculating illumination quality scores according to the historical environment data and the real-time environment data, and taking the percentage of the ratio of the illumination quality score of the current environment data to the illumination quality score of the historical environment data as a standard for dividing weather types; according to an astronomical algorithm, respectively calculating the solar altitude and the solar azimuth at the current moment and the next moment, and generating a solar motion track through the solar altitude and the solar azimuth; and selecting different photovoltaic module tracking modes according to different weather types. According to the method, different tracking modes are implemented on the photovoltaic system according to different weather types, and the tracking angle is adjusted in real time according to actual conditions during tracking, so that the power generation efficiency of the photovoltaic system is improved.

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

The invention relates to the field of distributed photovoltaic power prediction, in particular to a distributed photovoltaic power prediction method based on a sun position algorithm, which comprises the steps of acquiring historical power data of a photovoltaic unit, generating sun position features, transforming the sun position features, optimizing photovoltaic longitude and latitude, constructing a prediction model and performing online prediction. According to the technical scheme, by additionally introducing the sun position variables including the solar elevation angle and the azimuth angle, data support is supplemented for distributed photovoltaic power prediction, the accuracy of photovoltaic power prediction is improved, calculation can be completed in an off-line mode, and extra cost is not increased. By establishing an optimization model, the longitude and latitude of the distributed photovoltaic unit are optimized, and then the sun position is calculated according to the optimized longitude and latitude, so that the algorithm can cover the condition that the actual longitude and latitude information of the photovoltaic unit is unavailable.

The invention relates to the technical field of vegetable cultivation, and discloses an automatic light supplement control method and system for vegetable cultivation, and the method comprises the steps: determining the growth state of a vegetable crop based on crop image information and a crop growth model, and judging whether to execute a light supplement strategy or not according to a solar altitude, determining a backtracking light supplementing strategy or an initial light supplementing strategy according to the occurrence frequency of the growth state in the historical light supplementing database, determining target light supplementing data of the vegetable crops according to the number of the light supplementing data, and when the initial light supplementing strategy is determined, determining the target light supplementing data of the vegetable crops based on a recurrent neural network model, and analyzing the historical light supplement record to determine a light supplement swing factor of the light supplement lamp, adjusting the target light supplement data based on the light supplement swing factor, and performing light supplement on the vegetable crops according to the adjusted target light supplement data. According to the invention, the reliability of light supplement is ensured through the crop growth model and the light supplement swing factor.

The invention discloses a wind power plant light and shadow effect evaluation method and device and a medium. The problem that deviation exists in calculation of the shadow effect influence range of a traditional wind turbine generator is solved. The method comprises the following steps of: determining a shadow influence range of a wind wheel surface of each wind turbine generator at each moment in a year by taking true sun time at a machine location point of each wind turbine generator as a time standard; counting the total influence duration of each grid point according to the shadow influence ranges of all the wind turbine generators; and determining whether the design scheme meets a preset specification requirement or not according to the total influence duration of each grid point. According to the method, the wind power plant influence area is divided, the solar elevation angle and the solar azimuth angle are calculated point by point and moment by moment, so that the wind wheel surface shadow ellipse range of each wind turbine generator is calculated, the maximum influence duration of each point in the annual theory is obtained, the wind power plant shadow effect influence range calculation precision is improved, and the wind power plant shadow effect calculation efficiency is improved. And detailed data support is provided for environmental impact assessment of the wind power plant.

The invention relates to the technical field of geographic information live-action three-dimensional modeling, and particularly discloses a building rapid three-dimensional modeling method based on a single remote sensing image. According to the method, rapid three-dimensional building modeling is carried out through a single remote sensing image, accurate geographic coordinates and technical parameters such as the inner orientation and the outer orientation of a photo are not needed, and the technical threshold and the cost input of modeling are greatly reduced; multiple algorithms are used for image segmentation and three-dimensional model construction, the automation degree is high, the modeling period is greatly shortened, the modeling speed is high, and manual intervention is not needed; the building shadow length is counted, the elevation is assigned in proportion, the height of the building is accurately calculated by combining the solar elevation angle, the remote sensing equipment elevation angle and the azimuth angle, the precision of the model is improved, three-dimensional modeling data can be lightened to a certain extent, the structure is simple, and the data size is one fifth of that of a normal three-dimensional model. And the data redundancy of the three-dimensional model is greatly reduced.

The invention discloses a building sunshade control method and system, and is applied to the technical field of sunshade equipment, and the method comprises the steps: determining a plurality of pieces of sunshade equipment and a plurality of indoor areas of a target building; for each piece of sunshade equipment, determining a plurality of control areas in the plurality of indoor areas according to the solar elevation angle, the solar azimuth angle and the window illumination value of each indoor area, and obtaining target control parameters of the sunshade equipment according to control parameters of each control area relative to the sunshade equipment; wherein the control area is an indoor area which is located in a direct solar radiation area and has a window illumination value larger than a preset illumination threshold value under the condition that solar rays directly enter a room of the target building; and according to the target control parameter of each piece of sunshade equipment, controlling each piece of sunshade equipment so as to shade each control area. According to the invention, cooperative sunshade control of a plurality of control areas and a plurality of sunshade devices is realized, and the sunshade control precision is improved.

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 provides a visual celestial navigation method based on sun centroid extraction and sea-sky-line fitting. Belongs to the application of image processing technology in the field of celestial navigation. The method mainly comprises the steps of extracting a high-precision sea-sky-line by using a textural feature segmentation and Canny-Hough transform combined algorithm, and extracting a sky region based on a sea-sky-line segmentation result. A solar facula image candidate region and a sun candidate contour are constructed through a sky region, a dual optimization strategy of region similarity screening and facula feature scoring is proposed, and sub-pixel-level sun centroid coordinate calculation is realized by combining an intensity weighted center method and nonlinear least square two-dimensional Gaussian model fitting. And further constructing a camera coordinate system space vector through the orthogonal projection point of the sea-sky-line and the sun centroid, calculating a sun elevation angle based on a vector included angle, and performing angle compensation by adopting an atmospheric refraction correction model. And finally, fusing multi-moment observation data through a sun shift line positioning method, completing autonomous calculation of the ship position, and improving the positioning precision.

The invention discloses a method for realizing autonomous mission planning on a satellite based on the solar vector of an orbital system. A ground mission planning system plans the mission and determines the solar altitude angle information at the mission observation time. The operation control system plans the instruction sequence according to the information provided by the ground mission planning system. The instruction sequence includes the mission mode word, the load parameter configuration, and the solar altitude angle modification instruction at the observation time, and the instruction sequence does not include the guidance law of the platform and the turntable and the load on / off instruction. When the satellite enters the country, the instruction sequence is added. The on-board software enters the corresponding mission according to the mission mode word, calculates the key points of the mission start time and end time, and autonomously executes the observation mission. The observation data is transmitted to the ground mission planning system through digital transmission. The method can reduce the number of instructions in the instruction sequence added on the ground, reduce the operating burden of ground personnel, reduce the observation error caused by the delay of the ground addition, and reduce the probability of making mistakes.

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

The invention provides a photovoltaic array dynamic adjustment method based on artificial intelligence shadow detection and prediction. According to the method, a multi-modal data set is formed by collecting photovoltaic array operation and maintenance related data, accurate recognition of a shadow area is achieved through quantization feature enhancement and a dynamic space attention mechanism, shadow boundary coordinates are determined, and the shadow coverage rate is calculated. Further calculating the shadow expansion speed and propagation time according to the shadow boundary coordinates, the solar altitude and the shelter parameters, and predicting the shadow coverage range. Meanwhile, the hot spot risk is quantified through the temperature difference between the shadow area and the non-shadow area and the shadow duration, and graded early warning is triggered. And dynamically adjusting the output voltage of the photovoltaic array based on the shadow coverage rate, and tracking the maximum power point through a particle swarm optimization algorithm. In addition, in combination with a shadow prediction result, the angle of the photovoltaic panel is mechanically adjusted to avoid a shadow area. According to the invention, the power generation efficiency of the photovoltaic array under the shadow shielding condition is improved, and the stability and safety of the system are enhanced.

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

The invention relates to the technical field of automobile body paint weather resistance testing, in particular to a sunlight self-following reflection system and a control method, and the sunlight self-following reflection system comprises a buried support, a rotation driving mechanism, a rotation platform and a mirror reflection mechanism. The rotary driving mechanism rotates by 360 degrees in a horizontal plane through a driving unit, so that the direction of a vehicle head is always aligned with a solar azimuth angle; the mirror reflection mechanism adjusts the pitching angle of a reflection plate through a micro motor, and it is ensured that sunlight is projected to the surface of a vehicle body with a preset standard irradiance value. The system further comprises an air supply mechanism and an online measuring instrument which are used for cooling, dedusting and tracking the position of the sun in real time. According to the invention, test errors caused by solar altitude changes and regional differences can be eliminated, and the comparability and repeatability of test results are significantly improved.

The invention discloses a system and a method for dynamically and cooperatively adjusting a photovoltaic inclination angle of a mobile wind-solar-storage all-in-one machine. Comprising a multi-source data acquisition module which comprises a GPS positioning unit, a distributed light intensity sensor array, a wind speed and direction sensor and a tilt angle sensor; and the dynamic calculation module is used for calculating the solar altitude according to the positioning information of the GPS positioning unit and the time information, and establishing a quadratic relation model of the irradiance and the incident angle through actual measurement data fitting, so that the irradiance is calculated according to the solar altitude. Environmental parameters are acquired in real time through the multi-source data acquisition module, the optimal irradiance dip angle is determined in combination with the dynamic calculation module, the wind-solar collaborative optimization module dynamically balances the influence of the dip angle of the photovoltaic panel on the air duct of the straight-axis fan, the total power generation amount is maximized, and through real-time monitoring of the environmental parameters, the power generation efficiency is improved. Real-time adjustment is carried out according to weather condition changes, and power generation efficiency is improved.

Aiming at the situation that a water body signal is generally lower than 5%, the invention provides a multispectral remote sensing random optimal ratio logarithmic water depth inversion method, which comprehensively considers the influence of a solar spectrum, an upward total scattering rate, a solar zenith angle, a global total transmittance, a vertical irradiance and a total spherical reflection illuminance, and constructs an atmospheric coupled radiation calibration correction model to correct atmospheric and water surface reflectance. The quotient interpolation tidal height correction model corrects the tidal height, the FNDWI normalized difference water body index accurately extracts the water body, the random optimal model effectively extracts the sub-data set, the extreme gradient lifting method optimizes the model parameters, the optimal ratio logarithmic model is obtained, and water depth inversion is carried out. Compared with the inversion water depth of a Stumpf model, the R2 precision of the inversion water depth of the model is improved by 0.592, and the RMSE is improved by 0.841 m.

The invention discloses a polar region daytime sea fog / low cloud detection method and device based on multi-source polar orbit satellites and a medium. The method comprises the steps that remote sensing image data collected by the multi-source polar orbit satellites are acquired and preprocessed; calculating a sea surface identification index by using data of two preset wave bands in the preprocessed remote sensing image data, and jointly removing areas related to seawater and sea ice / snow in the preprocessed remote sensing image data according to the sea surface identification index and near-infrared wave band reflectivity data in the remote sensing image data; for each pixel of a third preset wave band in the remote sensing image data from which the seawater, the sea ice and the snow are removed, calculating a gray-level co-occurrence matrix of the pixels, and counting a plurality of texture features based on the gray-level co-occurrence matrix; and inputting the statistical texture feature values corresponding to the remote sensing images corresponding to all polar orbit satellites into the trained random forest model, identifying and removing medium and high clouds in the random forest model, and obtaining sea fog / low clouds as the remainder. The influence of satellite difference and solar altitude angle change on the method is small.

The invention relates to the technical field of street lamp use, in particular to a liftable rod arm multi-scene application street lamp pole device and an operation method thereof. The liftable rod arm multi-scene application street lamp pole device comprises a lamp pole base, a lifting connecting rod is slidably arranged in the lamp pole base in the height direction of the lamp pole base, and a lamp is installed on the lifting connecting rod; a power generation mechanism which changes in a self-adaptive mode and is electrically connected with the lamp is installed on the lifting connecting rod. Aiming at solar altitude change caused by season change, the adjusting disc is rotated to drive the solar panel to synchronously perform angle deflection around the lifting connecting rod. The process can correct the included angle between the solar panel and the sunlight in real time, effectively reduce the deviation degree of the two, ensure that the solar panel can be always aligned with the sun trajectory in different seasons of spring, summer, autumn and winter, and capture the illumination energy to the maximum extent.