25 results about "Liquid water content" patented technology

The invention discloses a convective cloud in-cloud temperature gradient joint inversion method based on a laser radar, and relates to the technical field of meteorological detection, and the method comprises the steps: synchronously collecting multi-modal meteorological remote sensing data through a multi-modal meteorological remote sensing device; constructing an adversarial unsupervised correction network, inputting the multi-modal meteorological remote sensing data into the adversarial unsupervised correction network, and generating corrected multi-source observation data; mapping the corrected multi-source observation data to a uniform space-time grid to form a space-time aligned multi-modal data set; and based on the vertical profile of the temperature gradient, in combination with the radar reflectivity factor and the fusion feature vector, calculating the vertical distribution of the liquid water content, the water vapor density and the particle effective radius in the convective cloud, and generating a quantitative analysis report of the macro and micro characteristics of the convective cloud. According to the invention, by constructing the antagonistic unsupervised correction network, errors in multi-source observation data can be effectively corrected, and a high-quality data basis is provided for fusion and inversion in meteorological service.

According to the fine correction method for the icing microtopography and microclimate of the long-span power transmission line provided by the invention, the icing mass growth model is established, and the liquid water content and the water drop median diameter in meteorological data are determined according to the actually measured icing mass; and establishing a corresponding computational domain and boundary conditions on the basis of the strain tower of the power transmission line so as to train the physical information neural network, then predicting the meteorological distribution state of the power transmission lines on the two sides of the canyon only by using meteorological parameters near the strain tower, and then calculating the icing state according to the distribution state. Therefore, accurate correction of icing prediction is completed, the hypothesis of a uniform meteorological field in the traditional technology is effectively avoided, the accuracy of an icing prediction result is effectively ensured, and the actual working condition is better met.

This invention discloses a quantitative method and apparatus for assessing the catalytic potential of silver iodide in artificial rain and snow enhancement based on cloud physics parameters, belonging to the field of atmospheric science and technology. The method includes: calculating and normalizing the total nucleation ratio of silver iodide particles to obtain a normalized nucleation conversion rate score; calculating the ice crystal potential ratio and supersaturation relaxation timescale that can effectively participate in the bergiron process after catalysis; calculating and normalizing the effective conversion time based on the ice crystal potential ratio and supersaturation relaxation timescale to obtain a normalized conversion rate score; calculating and normalizing the effective liquid water pathway to obtain a normalized liquid water content score; and weighted summing the normalized nucleation conversion rate score, normalized conversion rate score, and normalized liquid water content score to obtain a comprehensive catalytic potential score characterizing the quantitative results of the catalytic potential. This invention enables the quantitative assessment of the catalytic potential of cold clouds.

This application discloses a one-dimensional variational inversion method and apparatus for GNSS occultation data. The method includes background field preparation: interpolating temperature, air pressure, and water vapor pressure from the grid field to the latitude and longitude of the occultation data; simultaneously, interpolating the liquid water content and ice water content in the clouds to the latitude and longitude of the occultation data to obtain the background field profile required for inversion; and inputting observation data and background field: inputting the occultation data, background field profile, observation error covariance matrix, and background field error covariance matrix into the one-dimensional variational inversion system. By adding liquid water content and ice water content terms to the observation operator, the deviation between the observation data and the background field data is calculated, and the distribution characteristics of the deviation are statistically analyzed. After adding liquid water and ice water, the average refractive index deviation between the two types of data is significantly reduced.

The application relates to a sub-threshold icing dance early warning method based on a physical information manifold space migration, and relates to the technical field of power transmission line icing dance supervision. The application is aimed at solving the problems of poor real-time performance and inability to identify early icing dance of the existing icing dance early warning. The application comprises the following steps: acquiring equivalent icing thickness by using the temperature mean value, the wind speed mean value, the relative humidity mean value, the wind direction mean value, the precipitation intensity mean value, the liquid water content mean value and the water droplet median volume diameter in a preset time period of a to-be-predicted site; performing fast Fourier transform (FFT) on the time sequence of the meteorological data to obtain a main frequency; forming a feature vector by combining the equivalent icing thickness, the temperature mean value, the wind speed mean value and the main frequency; calling a trained student model, wherein the input of the trained student model is the feature vector, and the output is an icing dance risk probability; and performing icing dance risk early warning according to the icing dance risk probability. The application supervises and early warns the icing dance of the power transmission line.

The invention relates to the technical field of meteorological data analysis, and provides a Nevzorov water content probe data quality control processing method and system based on airborne in-situ observation, and the method comprises the steps: obtaining airborne in-situ observation data, and carrying out the classification based on collection sortie association information, and obtaining an initial data set; generating an observation data set through sortie time threshold combination; a quality control data set is obtained through data quality control processing of a Nevzorov probe; extracting environment and position characteristic parameters, executing cloud-entering multi-condition conjoint analysis, and screening effective observation data; constructing a baseline correction reference condition to complete water content data deviation correction, and performing grading particle spectrum number analysis based on corrected data to obtain particle spectrum distribution information; according to the method, an inversion model is constructed based on the incidence relation of the particle spectrum and the liquid water content, liquid water content inversion optimization is completed through feature matching dynamic adjustment parameters, an inversion optimization result is generated, the reliability of airborne probe observation data and the liquid water content inversion precision are improved, and accurate data support is provided for cloud microphysical research.

The invention discloses a mountain area power transmission line rime icing prediction method and system, and relates to the technical field of power transmission line icing prediction.The mountain area power transmission line rime icing prediction method comprises the following steps that the vorticity gradient of terrain disturbance is calculated based on terrain features and wind speed vectors in meteorological data; a momentum relaxation equation of the supercooled water drops is established according to the vorticity gradient, and the deviation degree between the water drop movement track and the airflow streamline is solved; according to the deviation degree, carrying out space redistribution on the content of supercooled liquid water in the meteorological data to obtain the content of effective liquid water; based on the effective liquid water content, iteratively solving the real-time ice density by using an energy balance physical model and calculating the initial value of the icing thickness; and performing feature coupling on the initial value of the icing thickness and the vorticity gradient, inputting a machine learning model to predict a systematic deviation value, and correcting the initial value of the icing thickness to obtain the final icing thickness. According to the method, the influence of terrain disturbance on the flow field is quantified through the vorticity gradient, and the prediction precision of rime icing of the power transmission line in the mountainous area is remarkably improved.

The present application relates to the technical field of liquid water content detection in air, and particularly relates to a method and device for detecting liquid water content in air by using a hot-wire water content meter. The method comprises obtaining first data related to the hot-wire water content meter and second data related to a cloud particle probe, wherein the hot-wire water content meter and the cloud particle probe are on the same detection platform; establishing a data set of physical parameters changing with time according to the first data and the second data; setting a cloud entering standard and calculating liquid water content according to a liquid water content calculation formula; calculating the liquid water content of each sub-class according to the sub-class of the cloud particle probe, and selecting the optimal value of the liquid water content. The present application solves the problems of error overlap caused by multi-parameter combination calculation in the laboratory empirical formula of the prior art, and the error caused by human operation.

The invention discloses a method for inverting warm cloud microphysical parameters based on a ground-based millimeter wave cloud radar and a microwave radiometer, and the method comprises the steps: 1, obtaining the observation data of the millimeter wave cloud radar, and obtaining a whole-layer liquid water path and a temperature gallery line through the microwave radiometer; 2, identifying warm cloud in millimeter wave cloud radar observation by using a temperature gallery line T; 3, constructing an initial liquid water content profile based on the reflectivity factor and the particle concentration in the warm cloud layer, and calculating an initial liquid water path of the warm cloud layer; 4, the whole-layer liquid water path obtained by the microwave radiometer is used as whole-layer constraint, the initial particle concentration and the initial liquid water content at the vertical height in the warm cloud layer are calibrated according to the proportion, the adjusted warm cloud layer liquid water content and the adjusted warm cloud layer inner particle concentration are obtained, and a physical boundary constraint interval is applied to the particle concentration; and 5, calculating the effective radius of the particles in the warm cloud layer according to the adjusted liquid water content of the warm cloud layer and the particle concentration in the warm cloud layer. According to the method, high-precision warm cloud microphysical parameter vertical distribution can be obtained.

This invention provides a method and system for testing icing under rotating conditions of supercooled large water droplets, relating to the field of aero-engine icing testing. It aims to address the problem of excessive liquid water content caused by significant settling of supercooled large water droplets and the inability of the uniform cloud zone to cover the test specimen. The method includes: obtaining the projected area S of the rotating test specimen on the test cross-section under rotating conditions. A ; Obtain the overlapping area S of the cloud and fog region between the uniform cloud and fog region and the projected area of ​​the rotating test specimen. B The liquid water content obtained from the calibration test is L. B According to the projected area S A Area S where clouds and fog overlap B and liquid water content of L B The liquid water content L corresponding to the freezing condition of the rotating test piece was obtained. A By using the relative area of ​​the uniform cloud and fog zone and the test zone, liquid water is equivalently transformed. The freezing condition conversion method of the rotating state test under the freezing condition of supercooled large water droplets is adopted, which effectively supports the rotating state test under the freezing condition of supercooled large water droplets.

The invention relates to an inversion method for the surface liquid water content of an Antarctic ice cover based on a genetic algorithm optimization radiation transfer model, and the method comprises the steps: S1, obtaining the radiation brightness temperature data of an L wave band, and constructing an Antarctic ice cover brightness temperature distribution diagram containing time information at different observation angles based on the radiation brightness temperature data; s2, acquiring brightness temperature observation brightness temperature based on the South Pole ice cover brightness temperature distribution diagram, preprocessing the observation brightness temperature, screening V polarization and H polarization brightness temperature data with incident angles of 22.5-62.5 degrees, and calculating a daily mean value; s3, constructing a multi-level radiation transmission model of the South Pole ice cover, and modeling the key parameters; s4, the brightness temperature of each layer of structure is calculated, a Kirchhoff coefficient is obtained, and the atmospheric bottom radiation transfer brightness temperature is calculated based on the Kirchhoff coefficient and the brightness temperature; and S5, constructing a fitness function, and solving the optimal accumulated snow density and liquid water content by using a genetic algorithm. Compared with the prior art, the method overcomes the limitation that the traditional empirical threshold method can only perform binary detection on the snow melting state, and realizes quantification of the liquid water content in the snow.

The embodiment of the invention provides an icing prediction method and device, equipment and a storage medium, and the method comprises the steps: obtaining secondary season icing related data, carrying out the convolution operation of the secondary season icing related data, determining the space structure information of a weather system, building a reference mapping model based on the space structure information, and carrying out the calculation of the reference mapping model. Taking a model parameter in the reference mapping model as an initial value, adjusting the initial value by using historical forecast data, obtaining a correction model according to an adjustment result, inputting forecast data to be predicted into the correction model to obtain air temperature forecast and rainfall forecast, and calculating the content of supercooled liquid water according to the air temperature forecast and the rainfall forecast. And inputting the content of the supercooled liquid water into a preset icing growth physical model to obtain an icing thickness growth rate, and predicting icing by using the icing thickness growth rate. The accuracy of sub-season scale icing prediction is improved, the systematic deviation of a power mode is corrected, the reliability of a power grid disaster prevention plan is enhanced, and the operation mode is optimized.

The application discloses a kind of based on cloud physics parameter's silver iodide artificial precipitation snow catalytic potential quantitative method and device, belong to atmospheric science technical field.Method includes: the total nucleation proportion of silver iodide particle is calculated and is normalized, obtains the normalized nucleation conversion rate score;The ice crystal potential proportion that can effectively participate in begeleng process after catalysis, supersaturation relaxation time scale are calculated, according to ice crystal potential proportion, supersaturation relaxation time scale, effective conversion time is calculated and is normalized, obtains the normalized conversion rate score;Effective liquid water path is calculated and is normalized, obtains the normalized liquid water content score;The normalized nucleation conversion rate score, the normalized conversion rate score, the normalized liquid water content score are weighted summation, obtains the catalytic potential comprehensive score of the catalytic potential quantitative result of characterizing.This application can realize the quantitative evaluation of cold cloud catalytic operation potential.

The present application relates to the field of fan blade deicing, and provides a fan blade surface icing growth numerical simulation and distribution prediction method, comprising: establishing a fan blade three-dimensional geometric model based on actual operation conditions and setting a rotating field flow field initial condition, constructing a rotating blade micro-domain cloud water flow field impact characteristic dynamic analysis based on an azimuth function, establishing a dynamic boundary slip model for blade surface liquid film formation and migration, coupling a thermodynamic phase change model and performing ice type dynamic growth calculation, performing iterative convergence judgment and icing form output based on geometric reconstruction, and performing aerodynamic and load analysis based on the final converged icing geometric model. The present application realizes dynamic reconstruction of the instantaneous impact characteristics of supercooled water droplets at different spatial positions of the rotating blade, can capture the non-uniform distribution of local liquid water content and water droplet diameter caused by terrain shielding or lifting effect when the blade rotates to different azimuth angles, and makes the input conditions of the icing simulation closer to the actual operation scene of the fan.

The invention discloses a power transmission line icing simulation method and system based on meteorological data and observation data. The method comprises the following steps: acquiring meteorological data and icing observation data; matching the acquired meteorological data with the icing observation data to obtain an observation sample data set; constructing a liquid water content estimation function by introducing a linear temperature correction model, reconstructing a freezing coefficient by introducing a kinetic energy impact factor and a water drop sensible heat item in an energy driving item, and correcting a Makkonen model; and performing joint optimization on multiple groups of parameters contained in the linear temperature correction model, the liquid water content estimation function and the reconstructed freezing coefficient structure to obtain an optimal parameter set, and applying the obtained optimal parameter set to the corrected Makkonen model to perform icing simulation. The ice coating growth process of the wire can be accurately simulated under the condition of lack of actual measurement of liquid water content (LWC).

The present application relates to the technical field of weather forecast, in particular to a strait sea fog forecasting method based on a three-dimensional wind field of a hundred meters, comprising: constructing a double-layer nested three-dimensional grid model; decomposing the three-dimensional wind vector of the inner layer grid point into four dynamically adjustable vectors; constructing a fog type classification model to output the fog type and FGPI potential of each refined grid; obtaining a three-dimensional water vapor field based on the three-dimensional wind field; using a calculation model to output the fog droplet number concentration, liquid water content and visibility; comparing the deviation of the real-time observed true value and the forecast result; when the deviation exceeds the preset threshold, updating the three-dimensional wind field in the reverse direction, and then iteratively calculating and outputting again as a forecast; the present application realizes the real-time linkage of the dynamic change of the wind field and the sea fog generation and dissipation process by refining the three-dimensional grid system for the core generation layer of the strait sea fog, and decomposing the three-dimensional wind field into four-component operators, thereby improving the forecast accuracy of the generation and dissipation time, intensity and range of the strait sea fog in minutes.

This invention discloses a method and system for suppressing ground wire icing in DC overhead transmission lines, relating to the field of power system transmission line protection technology. The invention collects five types of meteorological parameters: temperature, liquid water content, wind speed, wind direction, and water droplet size spectrum. After preprocessing, an icing prediction and early warning algorithm, combined with instantaneous threshold values, time change rates, and fluctuation coefficients of the parameters, is used to determine the icing environment. Upon icing determination, a triple-verification method using switching control technology synchronously disconnects the ground wire switch in the icing section, reconstructing the converging to diverging electric field, thus repelling charged water droplets and preventing their aggregation. In the ungrounded state, meteorological parameters are continuously monitored, and de-icing determination is completed based on temperature, liquid water content thresholds, and duration. After synchronous verification, the switch is closed to restore ground wire grounding. This invention, by controlling the switching of the ground wire grounding state to change the electric field distribution between the conductor and ground wire, fundamentally suppresses the aggregation of supercooled water droplets towards the ground wire for icing, and has broad application value.

The application discloses an ice wind tunnel cloud mist nozzle design method, device, equipment and medium, the method comprises the steps that S1, according to the cross-sectional size of the position of the spray rake in the ice wind tunnel, the layout of the spray rake and the number of nozzles are preliminarily determined;S2, according to the existing supercooled large water droplet frozen drizzle condition, determine the cloud mist requirement;S3, according to the liquid water content LWC and the wind tunnel test section speed requirement, the water supply demand of the nozzle and the water supply demand of the single nozzle are analyzed;S4, according to the water supply flow and the water supply parameter, the nozzle combination mode of the spray system is preliminarily designed;S5, the nozzle combination mode is simulated in the ice wind tunnel cloud mist-air two-way coupled heat transfer;S6, analyze the simulation result, evaluate whether to meet the particle size requirement of the frozen drizzle cloud mist, if yes, the cloud mist nozzle design is completed, if not, return to step S4, optimize the nozzle spacing and combination, and carry out iterative design. The application shortens the design iteration cycle and reduces the test cost.

The present application relates to a kind of strong precipitation nowcasting methods of liquid ratio, comprising: collecting radar reflectivity data and next hour precipitation real-time data within one hour;Radar reflectivity data is converted into three-dimensional data under Cartesian rectangular coordinate system, and precipitation real-time data is converted into two-dimensional precipitation grid field;Strong precipitation nowcasting model is built;Model is trained on training set, hyperparameter is optimized on verification set, and model is tested on test set;Obtain precipitation estimation field data.The present application uses the double decoder based on liquid ratio and attention mechanism to build strong precipitation nowcasting model, uses the echo data of liquid water content conversion processing and carries out the feature coding extraction work using encoder module, using two parallel decoder module respectively output prediction result of strong rain area and rainfall, using comprehensive loss function improves the quantitative estimation and qualitative classification of strong precipitation area, after effectiveness test, the present application can significantly improve nowcasting accuracy.

The present application relates to radar detection technical field, especially to the visibility fusion inversion method based on cloud radar and laser radar, method includes: obtaining cloud radar equivalent reflectivity factor, laser radar backscattering echo power and ground meteorological station's temperature and humidity data, time and space matching is carried out to multi-source data, and the near field common view area boundary is defined, and the laser radar extinction coefficient in the near field common view area is obtained by inversion; based on the laser radar extinction coefficient in the near field common view area and the cloud radar equivalent reflectivity factor in the near field common view area, combining the temperature and humidity data, the double-band atmospheric drop spectrum equivalent constraint factor is solved; based on the double-band atmospheric drop spectrum equivalent constraint factor and the full range cloud radar equivalent reflectivity factor, the full range liquid water content profile is reconstructed; based on the full range liquid water content profile, the full range equivalent extinction coefficient is inversely reconstructed, and the full range visibility profile is obtained by inversion.

The embodiment of the invention provides a simulation method and system for simulating supercooled water drop space distribution characteristics of a rotating fan blade and a storage medium. The simulation method is applied to a processor, and comprises the steps that after an operation display station correspondingly adjusts an environment chamber according to target environment parameters set by a user for the environment chamber, simulation parameters, uploaded by a monitoring system, in the environment chamber are obtained, the simulation parameters comprise the real-time temperature, the icing thickness and the temperature field in the environment chamber, and the real-time temperature of the environment chamber is obtained; the target environment parameters at least comprise environment temperature, humidity, wind speed and liquid water content of the environment chamber; and determining an error value between the simulation parameter and the target environmental parameter, and sending the error value to an operation display station, so that the operation display station correspondingly adjusts the environmental chamber again according to the error value until the simulation operation of simulating the supercooled water drops in the environmental chamber by the rotating fan blade is completed. High-fidelity simulation and intelligent closed-loop regulation and control of a fan blade icing environment in a rotating state are realized.

The invention provides an airborne cloud particle data processing method, device, device and system based on collaborative feature mapping. Carrying out time sequence semantic anchoring binding on particle original data collected by airborne cloud particle detection equipment, flight state data collected by an airborne flight state sensor and airflow monitoring data collected by an airborne airflow monitoring sensor to generate a multi-dimensional time sequence association data set, and carrying out association path traversal mining on the multi-dimensional time sequence association data set; generating a coupling association path data set, executing dynamic node mapping of airborne flight working conditions and particle original data, generating a working condition adaptive mapping content set, performing one-to-one link binding on the working condition adaptive mapping content set and the particle original data subjected to false target removal based on sample time sequence attributes, and generating a link-bound particle data set; in combination with the working condition adaptation mapping content set, cloud micro physical parameter calculation and working condition adaptation correction are carried out, and standardized liquid water content, number concentration and spectral distribution data are generated. According to the invention, the accuracy and reliability of airborne cloud particle data processing can be improved.

The invention relates to the technical field of radar detection, in particular to a visibility fusion inversion method based on a cloud radar and a laser radar, and the method comprises the steps: obtaining the equivalent reflectivity factor of the cloud radar, the backscattering echo power of the laser radar and the temperature and humidity data of a ground meteorological station, carrying out the space-time matching of multi-source data, defining the boundary of a near-field common-view area, and carrying out the calculation of the near-field common-view area. Carrying out inversion to obtain a laser radar extinction coefficient in the near-field common-view area; based on the laser radar extinction coefficient in the near-field common-view area and the cloud radar equivalent reflectivity factor in the near-field common-view area, combining the temperature and humidity data to solve a dual-band atmospheric droplet spectrum equivalent constraint factor; reconstructing to obtain a full-scale liquid water content profile based on the dual-band atmospheric droplet spectrum equivalent constraint factor and a full-scale cloud radar equivalent reflectivity factor; and based on the full-scale liquid water content profile, reversely reconstructing a full-scale equivalent extinction coefficient, and carrying out inversion to obtain a full-scale visibility profile.

The invention relates to the technical field of electric power meteorological early warning, and discloses a power grid extreme freezing rain quantitative short-term and temporary early warning method and device, and the method comprises the steps: determining a freezing rain region through a multi-source data fusion model, breaking through the resolution limitation of a single data source, and precisely capturing the characteristics of a freezing rain local under a complex terrain; the freezing probability is determined through temperature and wind speed, and the defect that phase state recognition depends on a single ground parameter is avoided; the target liquid water content is calculated through the micro-rain radar reflectivity and particle size spectrum parameters, the icing thickness increase amount is obtained in combination with the freezing probability, and the quantitative data missing short plate is supplemented; and finally, early warning information is generated according to the quantitative indexes, so that the matching degree between an early warning result and an actual risk is greatly improved.

The invention discloses an aerosol liquid water content inversion method and system. By coupling the Mie scattering theory and the immune evolution algorithm, the accurate inversion of the moisture absorption growth factor of the aerosol particle size is realized by utilizing hourly observation data of a turbidimeter, a black carbon instrument and an environmental particulate matter analyzer and simultaneous secondary atmospheric visibility, relative humidity and nitrogen dioxide monitoring data; and then an aerosol liquid water content calculation model with clear physical significance is established. The method effectively overcomes the limitations that a traditional thermodynamic model ignores organic components, a chemical component method is limited in applicability and an instrument direct measurement method is high in cost, complex in operation and the like, and has the outstanding advantages of being rigorous in theoretical basis, high in universality, low in parameter sensitivity and the like. The implementation of the invention provides a reliable technical means for the research on the moisture absorption characteristic of the aerosol in the haze weather process, and lays a foundation for the subsequent in-depth research of the aerosol moisture absorption haze-causing mechanism.