39 results about "Liquid water content" patented technology

The utility model discloses a backflow type icing wind tunnel capable of simulating a sand-containing ice crystal-containing environment, which belongs to the technical field of wind tunnels and comprises a wind tunnel body, a liquid particulate matter injection system, a solid particulate matter injection system, a phase change particulate matter injection system, a temperature control system, a pressure control system and a plurality of power systems. The wind tunnel body is sequentially provided with a stable section, a contraction section, a test section, a first expansion section and a second expansion section, and the liquid particulate matter injection system and the solid particulate matter injection system are both installed on the stable section. According to the backflow type icing wind tunnel capable of simulating the sand-containing and ice-crystal-containing environment, the content of sand and dust, the content of ice crystals and the content of liquid water in the wind tunnel body can be adjusted, and the temperature in the wind tunnel body can be adjusted, so that more complex weather can be simulated in the wind tunnel body, the accuracy of experimental data is ensured, and the experimental efficiency is improved. Therefore, the reliability and the safety of the aircraft in an extreme environment are improved, and the test efficiency is improved.

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.

The present application relates to the technical field of aviation meteorological support, and provides a meteorological display and alarm method, system, device and medium for aircraft navigation, which comprises receiving an aircraft route plan and collecting numerical weather forecasts of each place at the takeoff time of the aircraft; extracting wind speed, temperature, relative humidity, liquid water content and cloud droplet particle number density, and calculating the horizontal visibility, aircraft icing index, total cloud cover and aircraft turbulence index at the forecast time through adaptive attenuation interpolation based on feature perception; constructing an information box and a floating box of the route points on the aircraft route map; and performing meteorological display and alarm for aircraft navigation through the information box and the floating box according to the aircraft route plan. The present application uses regional meteorological forecast results to form meteorological forecast results for flight routes, can intuitively display the comprehensive meteorology on the route and form an alarm prompt, reduces the risk of information omission, increases the safety margin, and reduces the meteorological information processing workload of flight support personnel.

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.

The invention discloses an icing wind tunnel cloud spray nozzle design method, device and equipment and a medium, and the method comprises the steps: S1, preliminarily determining the layout of a spray rake and the number of spray nozzles according to the section size of the position of the spray rake in an icing wind tunnel; s2, according to existing super-cooled large water drop frozen hairy rain conditions, the cloud and mist requirements are determined; s3, according to the liquid water content LWC and the speed requirement of the wind tunnel test section, the nozzle water supply demand quantity and the single-nozzle water supply demand quantity are analyzed; s4, preliminarily designing a nozzle combination mode of the spraying system according to the water supply flow and the water supply parameters; s5, performing analog simulation of cloud-air bidirectional coupling heat transfer in the icing wind tunnel on the nozzle combination mode; and S6, analyzing a simulation result, evaluating whether the particle size requirement of the frozen hairy rain cloud is met, if so, completing the cloud nozzle design, and if not, returning to the step S4, optimizing the distance and combination of the nozzles, and carrying out iterative design. According to the method, the design iteration period is shortened, and the test cost is reduced.

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 disclosed embodiment is about an adaptive strategy for the optimal photon number of a quantum interferometer radar under a stratocumulus cloud background. It includes: a QIR system generates detection photons and reference photons with preset photon numbers, and directs the detection photons toward the detection target; the QIR system receives the reflected detection photons; a mathematical model is established based on the influence of the scattering, absorption, and other characteristics of the liquid water content of the stratocumulus clouds in the atmospheric environment on the reflected detection photons, and the relationship between the liquid water content of the stratocumulus clouds, the number of radar transmitter signal photons, and the transmission distance of the detection photons is obtained; based on the relationship between the liquid water content of the stratocumulus clouds, the number of transmitter signal photons, and the transmission distance of the detection photons, the number of radar transmitter photons is adaptively adjusted so that the radar system can achieve the optimal average photon number. The disclosed embodiment effectively improves the robustness of the QIR system under the water content of stratocumulus cloud particles by adjusting the average photon number of the QIR system in real time.

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.

The present invention provides a method for controlling cloud parameters in aircraft engine intake icing environment simulation tests, characterized by the following steps: S1: establishing the effects of spray system water pressure and air pressure on average water droplet diameter; S2: calculating the effects of altitude simulation parameters and wind speed on average water droplet diameter; S3: coupling analysis of liquid water content parameters with intake and exhaust parameters to calculate the required water injection volume; S4: employing a unidirectional air supply system to achieve precise control of the spray system air pressure; and S5: employing a circulating water supply system to achieve stable control of the spray system water pressure. By collaboratively controlling the spray system and the intake and exhaust systems, this method significantly improves the accuracy of icing environment simulation, providing more reliable test conditions for aircraft engine intake icing tests. The method is particularly suitable for simulating cloud fields under complex environmental parameters (such as high wind speed and low air pressure).

The present invention discloses a high-precision device and method for measuring particle size in a wide range with dual fields of view for high-speed cloud and fog fields, belonging to the field of measuring liquid water content in cloud and fog flow fields. Based on an optical magnification device, the present invention synchronously acquires visualized images of droplets in the same field of view at different magnifications. It utilizes a ResNet neural network-GAN network dual-network coupled recognition to achieve high-precision measurement of droplet size in high-speed cloud and fog fields, solving the problems of poor time responsiveness, low measurement accuracy, and low reliability of backtracking algorithms associated with traditional wind tunnel cloud and fog field parameter measurement devices. Furthermore, the optical magnification device is used to capture optical images, which can simultaneously meet the testing requirements for droplet size and a large field of view. Furthermore, the ResNet neural network-GAN network dual-network coupled recognition is used to learn calibration data and construct correlations between droplet images at different magnifications, fully extracting potential features from the image and improving test accuracy.

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 a power transmission line icing intelligent early warning method based on multi-source environmental perception and thermodynamic coupling analysis, and belongs to the technical field of power transmission line icing early warning, and the method comprises the steps: collecting the real-time data of a high-precision dew point sensor, a three-dimensional ultrasonic anemometer, a non-contact lead surface temperature infrared probe, and an MEMS liquid water content detector; forming a data set by taking each minute as a unit according to the collected real-time data; carrying out analysis operation on the data set to obtain an icing risk index; according to the method, the power transmission line icing risk index is obtained by collecting the surrounding meteorological parameters of the tower and analyzing and calculating the surrounding environment data, and quick response is performed in time according to the size of the index, so that the prediction efficiency and accuracy are effectively improved.

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 application provides a cloud bottom height estimation method and device based on a ground-based microwave radiometer, comprising: receiving historical sounding data of an observation area input by an external device; establishing a relationship matrix among a cloud bottom emissivity, liquid water content and an infrared instrument detected radiation brightness temperature according to a detection frequency of the infrared instrument in the ground-based microwave radiometer and the historical sounding data; determining the cloud bottom emissivity based on the relationship matrix and according to real-time observation of the ground-based microwave radiometer to obtain the liquid water content and the infrared instrument detected radiation brightness temperature; determining a real temperature of the cloud bottom according to the cloud bottom emissivity; and estimating the cloud bottom height based on the real temperature of the cloud bottom, an atmospheric temperature profile and an atmospheric humidity profile. The application can judge and correct the cloud bottom height through real-time measurement of the atmospheric temperature and humidity profile, thereby significantly improving the estimation accuracy of the cloud bottom height and optimizing the observation performance of the ground-based microwave radiometer in cloud bottom height observation.

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.

The embodiment of the specification provides a method and device for predicting aircraft icing potential based on fuzzy logic and a medium, the method comprising: establishing a fuzzy logic membership function about atmospheric temperature, relative humidity and cloud top temperature according to atmospheric temperature, relative humidity, cloud top temperature, air vertical velocity and atmospheric layer liquid water content; establishing a fuzzy logic membership function about air vertical velocity and atmospheric layer liquid water content and obtaining a SCIP algorithm equation; obtaining parameters of a future period or historical prediction, substituting into and solving the SCIP algorithm equation to obtain an aircraft icing index; determining an icing degree of the aircraft in the future period according to the icing index and an icing degree judgment threshold, and planning to determine an aircraft flight route. The two elements of air vertical velocity and atmospheric layer liquid water content affecting the aircraft icing in the air are added in the CIP algorithm, so that the generalization performance and anti-fitting performance of the diagnosis algorithm are improved.

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 invention discloses a method for measuring icing meteorological parameters, comprising measuring pressure data under various wind speeds and directions using an icing meteorological parameter measuring device, and constructing a first database using the data; training a BP neural network N1 optimized based on a particle swarm algorithm based on the first database to obtain a first artificial neural network that calculates wind speed and direction based on pressure; measuring ice shapes at detection points under various icing conditions using the icing meteorological parameter measuring device to obtain data on effective ice thickness and icing rate, and establishing a second database; training a BP neural network N2 optimized based on a dung beetle algorithm based on the second database to obtain a second artificial neural network that calculates average volume diameter of water droplets and liquid water content of icing meteorological parameters based on ice thickness and wind speed and direction; the method avoids complex optical path construction and can be used for real-time measurement of icing meteorological parameters during engine icing tests and aircraft airworthiness verification flights.

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.