235 results about "Irradiance" patented technology

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

The invention discloses a real-time calculation method and system for distributed photovoltaic power generation meteorological elements, and solves the technical problem of regional distributed photovoltaic power generation meteorological information loss. The method comprises the following steps: selecting adjacent sites based on power station operation data, and repairing target site data by using adjacent site data; constructing an irradiance calculation model by using the reconstructed power data, and establishing a model among numerical weather forecast, distributed photovoltaic station power, irradiance and environment temperature; and based on the established model, calculating the solar irradiance and temperature of the position of the distributed photovoltaic station by taking the real-time power and the current value of the numerical weather forecast as input. In order to complement the power of the distributed photovoltaic station, a meteorological information calculation model is established, a high-cost-performance and high-precision solution is provided for complementing the meteorological information of distributed photovoltaic power generation, and the accuracy of output power prediction of the distributed photovoltaic station is improved.

The invention discloses a large-range high-frequency all-sky earth surface solar irradiance machine learning estimation method and system suitable for a cloudy area, and relates to the technical field of irradiance estimation, and the method comprises the steps: obtaining earth surface radiation observation data, generating a station position table, and constructing a training data set; constructing a ground solar radiation degree model, and dividing the training data set into a training set and a test set according to a proportion of 80% to 20%; determining hyper-parameters of the Xgboost algorithm through parameter search, training the model on the training set, and checking the model by using the test set; new satellite reflectivity is used for observing data and meteorological elements, data cleaning is carried out, and the model is input to estimate the space-time distribution of the total solar radiation irradiance of the earth surface. According to the method, the space and time precision of radiation inversion is improved, the complex nonlinear characteristics and data interaction relation are accurately captured, efficient inversion of the earth surface solar radiation degree is achieved, and the prediction performance and generalization ability of the model are remarkably improved.

The invention discloses a solar irradiance prediction system and method based on dual attention multi-modal fusion. The method comprises the following steps: performing spatial feature extraction on a sky imaging observation map after preprocessing and time synchronization by using a MobileNetV2 network to obtain a sky imaging time sequence feature sequence; inputting the sky imaging time sequence feature sequence into a DAT model to obtain a global sky imaging time sequence feature sequence, a local sky imaging time sequence feature sequence and a local convolution position coding residual term; obtaining an aggregated sky imaging time sequence feature sequence according to the global sky imaging time sequence feature sequence, the local sky imaging time sequence feature sequence and the local convolution position coding residual item; performing time-dependent modeling on the meteorological observation data by adopting a long short-term memory network to obtain a meteorological observation data feature sequence; and performing feature fusion on the aggregated sky imaging time sequence feature sequence and the meteorological observation data feature sequence through a trans-attention mechanism to obtain a fused joint feature sequence for solar irradiance prediction.

The invention belongs to the technical field of photovoltaic power generation, and particularly relates to a floating type photovoltaic array power generation performance evaluation method, which comprises the steps of constructing an offshore area environment model; a Boussinesq model is adopted to calculate a real near-shore wave field; constructing a matching surface on the outer side of the array, extracting wave field time domain information, and converting the wave field time domain information into a frequency domain component; solving the six-degree-of-freedom motion response of the array through a boundary element method by taking the component as a boundary condition; calculating the dynamic attitude of the assembly, the solar incident angle, the out-of-plane irradiance, the working temperature and the instantaneous output power in real time based on the motion response; and finally evaluating the wave-induced power generation loss. According to the method, the Boussinesq model and the boundary element method are coupled in a domain nested mode, balance is achieved between calculation efficiency and precision, key environmental factors such as non-constant water depth, topographic relief and shoreline effect are synchronously considered, 'hydrodynamic force-light receiving-power generation 'chain coupling is achieved for the first time, and reliable support is provided for engineering design and performance evaluation of a near-shore floating type photovoltaic array.

A lighting device, a controller for the lighting device, and a method for using the lighting are disclosed. The lighting device comprises one or more light sources. The lighting device is configured to operate in a predefined first operation mode wherein the lighting device is configured to emit greenish white light. The greenish white light is white light as defined by ANSI C78.377-2017. The greenish white light has a relative M-cone-opic irradiance of at least 0.393, wherein the relative M-cone-opic irradiance is defined as a ratio between an M-cone-opic irradiance and a sum of an L-cone-opic irradiance, the M-cone-opic irradiance, and an S-cone-opic irradiance as defined in publication CIE S 026 / E:2018.

The invention discloses a radiation correction method and system for an airborne hyperspectral imager. The radiation correction method and system are used for improving the radiation correction precision in complex weather. The method comprises the following steps: calculating a theoretical sun position based on unmanned aerial vehicle initial coordinates, ephemeris data and atmospheric parameters; performing course and differential compensation on a solar azimuth angle by combining IMU course and wind speed and direction data, performing refraction correction on an elevation angle, and outputting a high-precision sun position parameter; hyperspectral images and irradiance data are synchronously acquired, quaternion interpolation is combined with IMU data to realize space-time alignment, and attitude disturbance is eliminated; a hemispherical space irradiance model is constructed based on alignment data, cloud layer modes (clear sky, thin cloud and thick cloud) are divided according to atmospheric optical thickness variance, and Lambert body proportion correction, a discrete longitudinal standard method or a deep convolutional spectral network are respectively adopted for radiation correction. The method remarkably improves the correction precision and generalization ability, supports large-area image splicing, and is suitable for quantitative application of geological exploration, environment monitoring and the like.

The invention discloses a solar power generation prediction method, device and equipment. The method comprises the following steps: acquiring current irradiance data of a meteorological station in a current irradiation period; the current irradiance data are input into an irradiance prediction model, next irradiance data of the next irradiation period output by the irradiance prediction model is obtained, and the irradiance prediction model is obtained through model optimization based on a land assimilation model and a numerical weather prediction model in combination with machine learning optimization adjustment logic; and according to the next irradiance data, the weather forecast data and the ambient air data, predicting the power generation output power of solar power generation. Through the method, the irradiance prediction model obtained by combining the land assimilation model and the numerical weather prediction model with the machine learning optimization adjustment logic optimization model is used for irradiance prediction, the accuracy of irradiance prediction is improved, and the power generation output power of solar power generation can be predicted more accurately.

The invention relates to the technical field of irradiance estimation, in particular to an irradiance estimation method and device, electronic equipment and a storage medium, and the method comprises the following steps: obtaining ground site historical data of a research region, reanalysis data of the research region and an aerosol public data set; dividing weather types into clear sky samples and cloudy sky samples according to the obtained historical ground station data of the research area; inputting the clear sky sample, the reanalysis data and the aerosol public data set into a solar irradiance model to calculate clear sky expected irradiance GHIcs; obtaining observation data of a geostationary orbit meteorological satellite, and estimating a cloud cover coefficient CI by using satellite reflectivity; inputting the multi-cloud sky sample and the cloud cover coefficient CI into a cloud index-based semi-empirical model, and calculating a clear sky coefficient Kc; and multiplying the clear sky expected irradiance GHIcs by the clear sky coefficient Kc to obtain an irradiance estimation value under the all-sky condition. Through the improvement of the method, the regional adaptability and the estimation accuracy of irradiance estimation are improved.

The invention relates to a photovoltaic array layout optimization method and device based on irradiation and shadow dynamic coupling, and the method comprises the steps: constructing a total irradiance model related to the inclination angle and azimuth angle of a photovoltaic module according to the direct solar radiation, scattered radiation and reflected radiation of the inclined surface of the photovoltaic module; calculating a shadow loss factor in combination with the critical unshielded spacing and the actual spacing of the front row and the rear row of the photovoltaic module array, and coupling the shadow loss factor to the total irradiance model to obtain an effective irradiance model; taking maximization of annual effective irradiance as an optimization objective, and constructing an optimization objective function based on an effective irradiance model; and by taking the inclination angle of the photovoltaic module, the azimuth angle of the photovoltaic module and the actual spacing as optimization variables, carrying out comprehensive balance optimization of dynamic irradiance income and shadow loss on the optimization objective function by adopting a fox-monkey optimization algorithm to obtain an optimal variable combination. According to the method, the core problems of large irradiation calculation error, shadow evaluation staticization and low optimization efficiency can be solved.

The invention relates to a near-infrared detection method for the internal quality of fresh corn ears and a probe device, and belongs to the technical field of fresh corn quality detection. The near-infrared detection method comprises the following steps: establishing a simulation system for propagation of near-infrared light in ears based on physical characteristics, a detection device and optical characteristic parameters of the fresh corn ears; the simulation system simulates the transmission process of photons in clusters under different detection distances and different light source angles through a Monte Carlo method, and obtains corresponding irradiance uniformity; ear spectrums of different detection distances and light source angles are obtained through experiments, and corresponding spectrum surface positive differences are calculated; determining a final detection distance and a light source angle according to the analysis and judgment of the irradiance uniformity and the spectral surface positive difference, and predicting the internal quality of the fresh corn ear by collecting the near infrared spectrum of the ear; according to the method, the optimal detection distance and the light source angle can be obtained through fitting of simulation and experiments, and then the precision of constructing the fresh corn moisture content and SSC prediction model is improved.

The invention discloses a photovoltaic power generation forecasting method based on spectrum forecasting, and aims at solving the problem that errors are large due to the fact that only temperature and total irradiance are considered in an existing photovoltaic power generation forecasting method. The method comprises the following steps: downloading global forecast data and carrying out lattice point coding conversion; then carrying out dynamic downscaling and calculating future key meteorological variables; calculating the spectral optical thickness of each atmospheric component by using the spectral absorption and scattering coefficients of different gas components in the HITRAN database, and obtaining direct and scattered spectral irradiance according to the spectral optical thickness; carrying out calculation result verification and artificial intelligence correction by utilizing a solar spectrum radiometer; calculating generated power of different wavelengths; and calculating the final generation power through integral calculation in combination with the loss of other parts of the photovoltaic module. And forecasting a radiation spectrum at a future moment according to different forecasted meteorological variables, and converting radiation into power generation power according to the spectrum, thereby realizing refined conversion of optical power.

The invention provides a shadow perception satellite image nerve radiation field surface three-dimensional reconstruction method, which comprises the steps of optimizing an RPC model based on a multi-temporal satellite image, generating a sparse point cloud, and constructing a unified coordinate system through outer bounding sphere normalization; three-dimensional points are sampled in the pixel line-of-sight direction, and a training set is constructed; the SDF network predicts that spatial points have symbolic distance values, the color network integrates SDF features and sight line direction output colors, and the shadow color network combines the sun direction to generate shadow vectors; the light color is predicted through volume rendering integration, the shadow probability is calculated based on secondary ray casting in the sun direction, and a loss function is constructed in combination with an irradiance error to jointly optimize network parameters; and generating a three-dimensional grid by using sampling points of the trained SDF network in a unified coordinate system and adopting a Marching Cubes algorithm. According to the invention, the convergence stability of the neural radiation field model on satellite data and the success rate and precision of scene three-dimensional surface reconstruction can be improved.

A measuring device (1) and a method for determining the spectral irradiation sensitivity SR (lambda) (17) and the voltage dependent current behavior I (U) of a photovoltaic unit (3) under standard solar conditions are described. The measuring device comprises an illumination source (5), a contact device (7), a controller (9) and an evaluation device (11). The illumination source is capable of selectively emitting light (13) having a variable spectral distribution (15) or a standardized solar spectrum. The controller is capable of controlling the illumination source to emit a standardized solar spectrum in a first mode of operation and successively emit light having N different spectral distributions in a second mode of operation. The evaluation device is configured, in a first operating mode, to determine a voltage-dependent current characteristic I (U) of the photovoltaic unit (3) under the action of a normalized solar spectrum from the measured PV current Imeas, and, in a second operating mode, to determine a voltage-dependent current characteristic I (U) of the photovoltaic unit (3) under the action of a normalized solar spectrum from a plurality of currents Imeas respectively measured when irradiated with N different spectral distributions (15). N (n = 1... N) and determining the spectral irradiation sensitivity SR (lambda) of the photovoltaic unit taking into account a previously known spectral irradiance E (lambda), n (lambda) (n = 1... N) for each of the N spectral distributions.

The invention discloses a day-ahead solar irradiance data correction method, and the method comprises the steps: screening historical numerical weather forecast data of the same weather type based on the weather type of day-ahead weather forecast; calculating a Spearman correlation coefficient and a variance of daily solar irradiance, dividing historical days into different clustering groups through a Kmeans clustering algorithm, and obtaining a clustering center; determining a cluster group to which the day-ahead numerical forecast belongs, and selecting historical data with matched weather types and groups to construct a training set; training a COSTLSTM model capable of decomposing an input sequence trend and a seasonal component to obtain a correction model; and inputting the numerical weather data of the day-ahead weather forecast into the trained solar irradiance correction model, and outputting to obtain the corrected day-ahead solar irradiance. Compared with the prior art, the method can effectively cope with complex mixed modes and seasonal periodic differences in the solar irradiance, and realizes accurate data correction of the day-ahead solar irradiance in complex weather.

A hybrid twin process uses an independent mechanical destructive process and an illumination process to change of state of weed seeds to having reduced germination viability by illuminating a seed with at least one of 2 J / cm2 cumulative illumination energy, and 0.2 W / cm2 irradiance, but no more than 7 W / cm2 average irradiance, of at least one of an Indigo Region Illumination Distribution (IRID), and infrared radiation that is substantially Medium Wavelength Infrared (MWIR) radiation, preferably 2-8 microns. The process can be incorporated into a harvester combine to convert a tailings flow prior to discharge on an agricultural field. For the mechanical destructive process, high required applied energy, noise, wear, and difficulty treating impact-resistant seeds are avoided by modifying a driven load flow via increased capability of exposure to illumination and underdriving the mechanical destructive process. This can include randomization, rarefaction and enhanced circulation.

The present invention belongs to the field of architectural design and discloses a method for calculating a building's solar energy acquisition potential index. The method comprises the following steps: obtaining the solar azimuth and solar altitude corresponding to sunrise and sunset to form a fan-shaped calculation range, and obtaining a plurality of calculation line segments within the fan-shaped calculation range; obtaining the tangent value of the solar altitude at the time corresponding to the calculation line segment, and the ratio of the height of the blocking building to the distance between the blocking building and the building to be measured, and subtracting the tangent value of the solar altitude from the ratio to obtain a difference; obtaining the approximate direct solar irradiance at the time corresponding to the calculation line segment, and assigning the approximate direct solar irradiance as a weight to the difference to obtain a weighted value; obtaining the central angle ratio of the area to be measured, and obtaining the building shielding factor of the building to be measured based on the central angle ratio and the weighted value. The present invention can be used to compare, select, and optimize different building complex layout plans from the perspective of solar energy acquisition potential.

The present disclosure relates to a computer-implemented method (200) of training a predictive model (10) for short-term forecasting of a Global Horizontal Irradiance, GHI, value at a reference location (21), the method (200) comprising: i) obtaining (201) a satellite image (S1-Sn) of cloud coverage over a ground area comprising said reference location (21); ii) performing (202) image processing of said satellite image (S1-Sn) to obtain a corresponding image of the cloud thickness over said ground area; iii) generating (203) a sun path image (P) by composing said image of the cloud thickness with a solar vector defining a path between said reference location (21) and a sun position at an acquisition time of said satellite image (S1-Sn), wherein said sun path image (P) is representative of a cloud occlusion of the sun along said solar vector; iv) providing (204) said image of the cloud thickness to a first feature extraction pipeline of said predictive model (10) to provide a first set of extracted features; v) providing (205) said sun path image (P) to a second feature extraction pipeline of said predictive model (10) to provide a second set of extracted features; vi) combining (206) said first set of extracted features with the second set of extracted features to generate a concatenated set of extracted features; and vii) inputting (207) said concatenated set of extracted features into a classification layer of the predictive model (10) for training on a relationship between said satellite image (S1-Sn) and said GHI value.

The invention provides a laser-corrected dual-band infrared passive distance measurement method, which comprises the following steps of: firstly, acquiring information of a target at three continuous sampling moments by using an infrared detection system, and estimating an extinction coefficient and path radiation; then calculating a multi-mode fusion distance at a next sampling moment; correcting a medium-wave extinction coefficient, medium-wave path radiation, a long-wave extinction coefficient and long-wave path radiation by using the field angles, the irradiance and the laser ranging values at the second to fourth sampling moments; and for a subsequent moment, calculating the multimode fusion distance of the target as a resolving value of the target distance at the sampling moment, and then correcting the medium wave extinction coefficient, the medium wave path radiation, the long wave extinction coefficient and the long wave path radiation. According to the method, dual-band infrared passive distance measurement and laser distance measurement are fused, target motion information is combined, accumulative errors of infrared passive distance measurement and a motion model are eliminated through laser correction, the defect of infrared distance measurement is compensated, the distance measurement precision and the distance measurement stability are improved on the premise of concealment, and multi-target real-time distance measurement is achieved.

The invention discloses a short-term earth surface solar irradiance prediction method and system in the technical field of solar energy resource prediction and artificial intelligence crossing. The method comprises the following steps: acquiring advanced calibration instant extraterrestrial horizontal plane solar irradiance auxiliary data according to a longitude and latitude list of a target area and set advanced time; constructing image modal input data according to satellite image data of a target area and the advanced calibration instantaneous extraterrestrial horizontal plane solar irradiance auxiliary data; and according to historical earth surface irradiance time sequence data and the image modal input data, performing prediction by using the trained multi-modal fusion network to obtain a short-term earth surface solar irradiance prediction result. According to the invention, by introducing advanced calibration of instantaneous extraterrestrial horizontal plane solar irradiance auxiliary data and a multi-mode deep fusion technology, the precision and robustness of short-term solar irradiance prediction are effectively improved, and the method is suitable for photovoltaic power generation power prediction and power grid dispatching.

The invention belongs to the technical field of quantitative remote sensing, and relates to a mid-infrared hyperspectral emission and reflection characteristic integrated inversion method, which comprises the following steps: acquiring mid-infrared hyperspectral satellite remote sensing data, and optimizing sensing entrance pupil radiance data to obtain optimized entrance pupil radiance data; the intermediate infrared hyperspectral satellite remote sensing data comprises sensing entrance pupil radiance data; performing atmospheric correction on the optimized entrance pupil radiance data by using a radiation transfer model to obtain surface brightness temperature and atmospheric downward radiation, and calculating solar irradiance reaching the surface; constructing a mid-infrared hyperspectral earth surface bi-directional reflectivity inversion framework, and performing earth surface bi-directional reflectivity inversion based on the mid-infrared hyperspectral earth surface bi-directional reflectivity inversion framework to obtain earth surface bi-directional reflectivity and earth surface equivalent radiance; constructing a scene self-adaptive framework, and performing inversion based on the scene self-adaptive framework to obtain the surface temperature and the surface emissivity; therefore, accurate separation of surface emission radiation and surface reflection radiation is completed.

The present invention discloses a real-time calibration method for the scattering channel of a spectroradiometer based on direct solar irradiance, which includes: obtaining the calibration values of the entire wavelength band of the direct channel of the spectroradiometer through a hybrid calibration method that combines the Langley calibration method in the non-absorbing wavelength band and the theoretical calculation of the solar irradiance at the top of the atmosphere in the strong absorption wavelength band; accurately obtaining the spectral irradiance reaching the optical acquisition system of the radiometer and the atmospheric transmittance through the calibration of the direct channel; using the measured direct solar radiation passing through the atmosphere and the atmospheric transmittance in real time, combining the solar irradiance at the top of the atmosphere and the optical component parameters of the instrument to obtain the real-time calibration values of the entire wavelength band of the scattering channel. Without using other auxiliary materials, the present invention transfers the calibration of the direct channel of the spectroradiometer to the calibration of the scattering channel, and will be applied to devices that simultaneously measure direct solar light and atmospheric scattered light.

The application provides a curved surface optical element surface defect scattering detection method and system, which comprises the following steps: setting a pre-focusing incident light beam in a detection light path, so that the incident light beam forms a virtual object point behind the curved surface optical element; adjusting the distance from the virtual object point to the vertex of the curved surface to satisfy a conjugate relationship with the distance from the detector to the vertex of the curved surface; discretizing the illuminated local curved surface region into an array of micro surface elements; calculating the projection of the unit vector of the scattered light and the unit vector of the incident light on the local tangent plane of each micro surface element to establish a local spatial frequency mapping relationship; performing surface-detector geometric modeling, micro surface BRDF calculation, radiation transmission and irradiance calculation of the scattered light field, constructing a curved surface scattering physical model and reconstructing the irradiance distribution on the detector target surface; performing total integral scattering processing on the irradiance distribution to identify defects, extracting the power spectral density of the defect region to obtain five frequency domain characteristic values, and inputting the five frequency domain characteristic values into a machine learning classifier for defect classification.

The invention discloses a photovoltaic power station irradiance component calculation method and device. According to the method, environmental parameters and multiple groups of historical operation data of a photovoltaic power station are obtained firstly, and then target historical operation data with corresponding slope clear sky irradiance and power actual value correlation meeting preset conditions are screened out according to the environmental parameters and the multiple groups of historical operation data. And finally, exhaustion of a light conversion efficiency prediction value is carried out based on the target power actual value and the target direct light conversion efficiency and the target scattered light conversion efficiency corresponding to the target timestamp, and when the residual error between the prediction power corresponding to the prediction value and the target power actual value is minimum, the target power actual value is obtained. And determining a clear sky irradiation direct component predicted value and a clear sky irradiation scattering component predicted value corresponding to the predicted light conversion efficiency as a clear sky irradiation direct component actual value and a clear sky irradiation scattering component actual value of the target timestamp. The difference between the conversion efficiency of the direct light and the conversion efficiency of the scattered light is fully considered, and the accuracy of irradiance component calculation is effectively improved.

1. The name of the design product: irradiance immersion factor measuring instrument. 2. The use of the design product: measuring the immersion factor of irradiance meter in water. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of solar simulation adjustment, and discloses an intelligent controllable method and system for simulating dynamic change of solar radiation. Long-term irradiation data are obtained from a database and a local weather station and fused, the discontinuity of the daily boundary is overcome by applying a circumferential mapping and clustering method, and the maximum daily radiation intensity, the typical sunrise moment and the sunset moment of each month are obtained; on the basis, constructing an attenuation model taking a monthly typical value as a benchmark, introducing random disturbance and physical constraints conforming to meteorological statistical characteristics, generating intra-month daily simulation parameters, further utilizing a trigonometric function improvement model to dynamically represent the daily simulation parameters of the current month as target irradiation intensities at all moments, standardizing the target irradiation intensities and mapping the target irradiation intensities into command control quantities, and calculating the target irradiation intensities. Precise reproduction of the natural solar radiation curve by the illumination intensity is realized; then actual light intensity is detected through an irradiation sensor, execution errors are calculated, control action quantity is generated in real time through a PID control law, and finally execution quality is evaluated through a control action quantity sequence.

The invention relates to an infrared image simulation method based on irradiance mapping, belongs to the technical field of infrared image simulation, and solves the technical problem that simulation images cannot be directly obtained due to the influence of random noise existing in infrared image simulation. Converting the quadrilateral mesh into a triangular mesh and encrypting the triangular mesh to obtain a computational mesh; the shielding relation and the radiation transfer relation between the grid surface sources are judged, and a radiation transfer matrix of the grid surface sources is obtained; calculating the irradiance cache of the grid surface source by adopting a progressive irradiance calculation method, and obtaining the irradiance distribution of the surface of the scene object; and constructing a ray matrix, performing irradiance mapping to obtain a radiance matrix, converting the radiance matrix into a grayscale image, and obtaining an infrared simulation image of the scene. The method is used for object surface infrared radiation simulation.

The invention provides an under-forest light spot space-time distribution simulation method and system based on anisotropic probability volume fraction, and the method comprises the steps: obtaining laser radar point cloud data of a target forest stand, and carrying out the preprocessing, and generating a standardized point cloud; constructing a forest probability density field: dividing a forest stand space into voxel grids, and for each non-empty voxel containing vegetation, extracting spatial distribution statistical characteristics of internal point clouds of the non-empty voxel and calculating an anisotropic extinction coefficient of each non-empty voxel; the method comprises the following steps: simulating the sun as a surface light source with a preset angular diameter, emitting light from an under-forest preset observation point to the surface light source, executing probability volume fraction light stepping in a forest probability density field, and obtaining the optical thickness by accumulating anisotropic extinction coefficients of all non-empty voxels on a light propagation path. And then calculating the transmittance of the light reaching the observation point, integrating the solar spectrum irradiance in a wave band and a time period corresponding to the photosynthetically active radiation, and generating a spatial-temporal distribution map of the photosynthetically active radiation under the forest.

The application provides a multi-objective dynamic optimization method and system for a solar seawater desalination process, belonging to the technical field of solar seawater desalination control. Firstly, the application collects solution conductivity data at the inlet and outlet positions and irradiance trend data above the photovoltaic array. Then, the conductivity difference is calculated to generate gradient data to map the desalination demand vector, and the cloud motion vector is extracted from the irradiance data using the optical flow method to construct the energy supply potential vector. Subsequently, the two are aligned and convolved to generate a state space matrix, which is input into the constructed Kalman filter to predict the target voltage reference trajectory. Finally, the trajectory is substituted into the multi-objective constraint function to calculate the target duty cycle command, and the DC converter switching state is adjusted to change the operating voltage of the desalination device. The application can achieve real-time multi-objective dynamic optimization of the water production efficiency and equipment safety of the solar seawater desalination system under the dual fluctuations of light and salinity.

The invention discloses a method and a system for measuring and calculating a signal-to-noise ratio of an uncooled infrared detection system, relates to the technical field of infrared target detection, and solves the problems that parameters of an uncooled detector are lost during research and development of a low-cost infrared system and detection effects of different view field angles of a large-view-field system are different. The radiance at the entrance pupil is calculated through the target radiance and the atmospheric transmittance, the irradiance and the illuminance from the pupil to the center of an image plane are derived based on optical system parameters, the irradiance related to a field angle is obtained according to a geometrical relationship for large-field edge illuminance attenuation, and the irradiance related to the field angle is obtained according to a geometrical relationship for a point target which is not filled with a photosensitive element. Calculating the projection on the photosensitive element and the signal radiation quantity received by the pixel; the noise equivalent temperature difference is tested by adopting a collimation method, and the value is obtained by combining a collimator and the spectral transmittance of an optical system so as to calculate the noise power; and the signal-to-noise ratio is calculated by combining the signal amplitude-flux. The method solves the problem of parameter loss through actually measured noise equivalent temperature difference value estimation, considers view field energy attenuation in the evaluation process, and is suitable for fine evaluation of a large view field system.