13 results about "Short wave radiation" patented technology

The invention discloses an earth surface downlink short-wave radiation space downscaling method based on a super-resolution reconstruction technology, belongs to the technical field of meteorological data analysis, and solves the problems of insufficient solar radiation data space resolution and weak earth surface heterogeneity characterization capability in the prior art. Carrying out super-resolution reconstruction on the radiation data set by adopting a super-resolution combination model, and carrying out weighted fusion on a reconstructed data set output by the super-resolution combination model; according to the method, the output results of the multiple models are subjected to weighted fusion, weight optimization of the super-resolution sub-models is performed in combination with the high-resolution terrain factors, spatial downscaling from 5km to 1km resolution is finally realized, the spatial precision of the solar radiation data is remarkably improved on the basis of keeping the hour-level time resolution of the original data, and the accuracy of the solar radiation data is improved. And more earth surface heterogeneity information can be captured, and meanwhile, the high-time-resolution application requirement is met.

The invention discloses a photovoltaic power prediction method based on a stationary satellite neural network model, and belongs to the technical field of photovoltaic power prediction, and the method comprises the steps: obtaining base station radiation historical observation data, satellite historical observation data and ground meteorological historical observation data, carrying out the space-time matching of all the obtained data, and obtaining a prediction result; performing fusion enhancement on the satellite historical observation data and the ground meteorological historical observation data to obtain enhanced fusion features; constructing an earth surface short wave radiation prediction model, taking the enhanced fusion features as input, and taking base station radiation historical observation data as target output for training; future satellite parameters are obtained and input into the trained earth surface short wave radiation prediction model, and a future earth surface short wave radiation value can be predicted; and based on the obtained future earth surface short wave radiation value, combining the position information of the photovoltaic power station to predict the output power of the photovoltaic module. Therefore, the prediction of the output power of the photovoltaic module can be realized.

The invention provides an ultrashort wave radiation source distributed positioning method and system, and relates to the technical field of ultrashort wave radiation source positioning, and the method comprises the steps: constructing a heterogeneous unmanned plane group comprising a control node and a monitoring node; based on a multi-agent reinforcement learning algorithm, respectively configuring differentiated decision strategies for the control nodes and the monitoring nodes so as to guide the heterogeneous unmanned aerial vehicle group to perform collaborative search in the task area; a plurality of monitoring nodes are utilized to synchronously acquire signal characteristic parameters of a radiation source, the signal characteristic parameters from a plurality of spatially distributed monitoring nodes are aggregated, and a positioning result of the radiation source is obtained through calculation. According to the invention, the problem of how to realize high-precision and high-efficiency distributed positioning of the ultra-short wave radiation source through intelligent cooperation of heterogeneous clusters under the condition that the load, endurance and communication capability of the unmanned aerial vehicle are limited is solved.

The invention discloses a near-surface air temperature data downscaling method driven by multi-source collaborative variables, which relates to the technical field of air temperature data processing and comprises the steps of data preprocessing, sample division, downscaling model construction and air temperature data processing. The method comprises the following steps: firstly, introducing cloud cover, long / short wave radiation, display / latent heat flux and other elements as collaborative variables based on a mode output statistical thought, generating a multi-dimensional multi-source variable data set, and performing preprocessing such as resampling to form a complete data set; carrying out sample division and balance by adopting K-fold cross validation and a first-time adaptive decline algorithm to obtain a total training set and an independent validation set; stable and effective features are screened, and then three types of models including an elastic network, a Bayesian optimization random forest and a neural architecture search-based long and short term memory network are constructed; the to-be-processed data is input into the model to generate high-resolution air temperature data, the data precision is ensured through multi-dimensional verification, systematic deviation is effectively restrained, nonlinear correlation and extreme air temperature correction capacity are enhanced, the space-time stability is improved, and the method is suitable for climatic analysis, ecological environment evaluation and other scenes.

The invention belongs to the field of communication, and particularly discloses a method for calculating the coverage area of an ultra-short wave radiation source on a fluctuating ground, which comprises the following steps of: S1, acquiring a mathematical elevation map of a simulation area, dividing the map into grids according to resolution, and generating a data matrix containing an elevation value and a landform value of each grid point; s2, according to the position of a radiation source and the position of any receiving point in a simulation area, calculating a propagation path between the radiation source and the receiving point based on the data matrix, and extracting an elevation vector, a landform vector and a distance vector on the propagation path; s3, calling a radio wave propagation model to calculate signal loss values on all propagation paths; s4, calculating the signal arrival power of the receiving point; by introducing the digital elevation model and the radio wave propagation model, elevation map data of any area can be loaded and calculated, the radio wave propagation effect of the ultra-short wave radiation source can be simulated and calculated, accurate calculation of ultra-short wave signal coverage under the rugged topography is realized, and the layout position of the communication radiation source is optimized.

The utility model discloses an energy-saving window for a passive house, which comprises a main frame, and the inner wall of the main frame is fixedly connected with first glass, second glass, third glass and fourth glass respectively. Through mutual cooperation of the first glass, the second glass, the third glass and the fourth glass, special coating films on the surfaces of the first glass, the second glass, the third glass and the fourth glass can reflect indoor long-wave radiation, reduce heat loss to the outside, allow solar short-wave radiation to enter the inside, realize natural lighting and solar heat gain, reduce heat transfer through the heat insulation strips, and improve the heat efficiency. According to the energy-saving window for the passive house, the heat insulation performance of the energy-saving window for the passive house is improved, the sealing performance between the first glass and the main frame and between the fourth glass and the main frame can be improved by arranging a first sealing rubber strip, external dust is prevented from entering the main frame, and inert gas can be filled into an inflation pipe by arranging the inflation pipe and a sealing plug; inert gas can slow down loss of heat on the surface of glass in the main frame.

The utility model belongs to the technical field of silimor brick, especially relates to a heat -insulating structure of nanometer modified silimor brick, including silimor brick base body, still include: coating heat -insulating layer, coating heat -insulating layer sets up in the circumferential side of silimor brick base body, the circumferential side of coating heat -insulating layer is provided with self -cleaning coating, the circumferential side of self -cleaning coating sets up surface functional layer, the top of silimor brick base body is provided with a plurality of recesses, can reflect most solar short -wave radiation, and under the light through photocatalytic decomposition surface pollutant, realize self -cleaning, block water vapor and acidic gas simultaneously, and effectively reduce the heat conduction efficiency, long -wave thermal radiation can also be blocked, the recess of top strengthens and mortar's occlusion, reduces the brick joint gap, and can guide rainwater to discharge, avoid water absorption and lead to the rise of thermal conductivity coefficient, the whole device passes through the synergies of each layer, effectively blocks heat transfer from reflection, conduction, convection three aspects, keeps long -term functional stability simultaneously.

The invention discloses a numerical weather mode multi-source data assimilation method based on a GNSS (Global Navigation Satellite System) water vapor chromatography result, which relates to the field of weather forecast and numerical weather modes and comprises the following steps: arranging a numerical weather mode in a target area; collecting multi-source data of the target area, wherein the multi-source data comprises GNSS water vapor chromatography data, satellite data, radar data and observation data of a ground meteorological station, a sonde and an aircraft; performing data assimilation on each item of data in the multi-source data, and converting the multi-source data into a unified data format; and permutation and combination are carried out on all parameterization schemes of cloud microphysics, cumulus convection, a boundary layer, a land surface and a long and short wave radiation process in the numerical weather mode, the actual operation effect of each scheme combination is evaluated, and an optimal parameterization scheme is obtained through screening. According to the multi-source data assimilation method, the initial field of the numerical weather mode can be improved, so that the weather forecast precision is improved.

A building external thermal radiation monitoring device disclosed by the present invention comprises a main controller, a communicator and at least one detection mechanism, the detection mechanism comprises a main frame body, a short-wave radiation sensor, a long-wave radiation sensor and a sub-controller, and the short-wave radiation sensor and the long-wave radiation sensor are both arranged on the top side of the main frame body. The short-wave radiation sensor and the long-wave radiation sensor are electrically connected with the sub-controller respectively; the sub-controller is used for acquiring detection data of the short-wave radiation sensor and the long-wave radiation sensor respectively; the communicator is in signal connection with the main controller and each sub-controller, and the main controller is used for determining each detection point according to a target building, so that at least one detection mechanism is arranged in each detection point; and the main controller is used for acquiring detection data of the detection mechanism in each detection point through the communicator. According to the technical scheme provided by the invention, the data accuracy is further improved, and the actual application requirements of the existing thermal radiation monitoring technology are better met.

The invention discloses an ozone concentration forecasting method, which utilizes air quality observation data of 326 cities throughout the country, processes abnormal and missing data, and reanalyzes relative humidity, precipitation, boundary layer height, short-wave radiation, sea level air pressure, wind direction, wind speed and dew point in the data in combination with ERA5. A high-quality database used for supporting deep learning is established, graph structures are established with cities and provinces as nodes respectively, and the spatial dependency relationship between the nodes is adjusted in a self-adaptive mode through a dynamic learnable edge weight mechanism; self-adaptively updating the edge weight according to the input spatio-temporal characteristics, and further quantifying and analyzing the propagation path of ozone among different regions; and key meteorology and precursor factors are dynamically identified through a channel attention mechanism. According to the invention, the accuracy and real-time performance of ozone forecasting are improved, and transmission paths and driving factors thereof between regions can be disclosed; and scientific basis and technical support are provided for ozone pollution prevention and control and regional joint prevention and joint control.

This invention discloses a parametric simulation method for ocean forecasting based on cross-density vertical mixing processes, comprising: Step 1, acquiring a three-dimensional multivariate marine environmental field, water depth data, vortex trajectory dataset, vortex kinetic energy data, and atmospheric driving field. The environmental field includes sea surface height, ocean temperature, ocean salinity, and meridional and zonal current velocities; the atmospheric driving field includes wind speed, sea surface pressure, 2-meter temperature, sea surface temperature, shortwave radiation, cloud component, precipitation, and relative humidity; Step 2, introducing vortex horizontal asymmetry, constructing a parametric ocean model based on cross-density vertical mixing processes, and calculating the vertical mixing coefficient; Step 3, constructing a regional ocean model based on the regional ocean numerical model ROMS, and verifying the vertical mixing coefficient; Step 4, performing ocean forecasting using the parametric ocean model based on cross-density vertical mixing processes. This invention links vertical mixing with the influence of vortex horizontal asymmetry, improving the accuracy of multi-element ocean simulation.

The invention discloses a mountainous area surface temperature daily scale extension physical model considering terrain and proximity effect, belongs to the field of thermal infrared quantitative remote sensing research, considers the influence of the terrain on short wave radiation and long wave radiation, and considers the radiation contribution of the long wave radiation of ambient atmosphere on a target pixel at the same time. A heat conduction equation and an energy balance equation are combined, a mountain area surface temperature daily scale expansion four-parameter physical model capable of being used for mountain area complex terrains is constructed, and four parameters comprise a factor mu which links the environment temperature and the environment stress intensity, factors eta 0 and eta 1 which are closely related to weather and climate backgrounds, and thermal penetration P. The invention develops a mountainous area surface temperature daily scale expansion physical model considering terrain and proximity effect, and the mountainous area high spatial resolution surface temperature at any time in the day can be obtained only through sporadic thermal observation values (greater than or equal to 4 thermal observation values).

The invention discloses a method for researching a northern bay ocean heat wave interannual change rule. The method comprises the following steps: acquiring OISST data, ERA5 data, ORAS5 data and a Nio 3.4 index; spatial distribution characteristics and linear variation trend characteristics of the north bay ocean heat waves are explored; analyzing the relation between the northern bay ocean heat wave intensity and the ENSO process through lead-lag correlation; spatial evolution of northern bay heat wave intensity and ocean surface temperature abnormity in the ENSO event process is researched; analyzing the energy contribution of the ocean and the atmosphere to the ocean heat wave event in the ENSO event process; and determining the influence of latent heat flux, long-wave radiation and short-wave radiation modulated by the ENSO process on heat waves in the north bay. The method solves the problems of lack of analysis of long-term change rules of the northern bay ocean heat waves and incomplete understanding of a driving mechanism in existing research, analyzes spatial distribution characteristics and interannual change rules of the northern bay ocean heat waves, and reveals a forming power mechanism of the northern bay ocean heat waves.