52 results about "Liquid water content" patented technology

The invention discloses a hail early warning method and system based on lightning jump and a support vector machine, and the method comprises the steps: obtaining a combined reflectivity factor, a vertical integral liquid water content and echo top height data through radar networking data, recognizing a severe convective echo region, and calculating a lightning time change rate and a standard deviation thereof; a potential hail event is screened in combination with a lightning jump increase condition, a vertical integral liquid water content maximum value VILmax, a jump increase GVIL and a density VILD are further extracted as feature parameters, and the feature parameters are input into a support vector machine classification model based on historical sample training for secondary judgment, so that the false alarm rate of a traditional 2 sigma algorithm is effectively reduced, and the hail early warning accuracy is improved.

The invention relates to an improved hail early warning method based on lightning jump, and the method comprises the steps: obtaining the two-dimensional lattice point data of a radar combined reflectivity factor CR and the two-dimensional lattice point data of a vertical integral liquid water content VIL based on the radar networking puzzle data of an early warning region; for the two-dimensional lattice point data of the radar combined reflectivity factor CR, utilizing a neighborhood method to obtain lattice point position information of a severe convective echo connected region; calculating a lightning time change rate D and a standard deviation sigma of the lightning time change rate based on the lightning data of the early warning area and the grid point position information of the strong convective echo communication area; based on the two-dimensional lattice point data of the vertical integral liquid water content VIL and the lattice point position information of the severe convective echo communication region, obtaining a jump increment GVIL of the vertical integral liquid water content VIL; based on the jump increment GVIL, the lightning time change rate D and the standard deviation sigma of the lightning time change rate, hail early warning conditions are judged, and hail early warning is achieved.

The invention discloses a fog boundary layer parameterization scheme correction method based on a multi-scale physical coupling network, relates to the crossing field of numerical weather forecast and artificial intelligence, and aims to improve the performance of different boundary layer parameterization schemes in a WRF mode, construct a fusion framework of a physical mode and deep learning, adopt a double-branch heterogeneous network structure, and improve the performance of a fog boundary layer parameterization scheme. Establishing a nonlinear mapping relation between different parameterization scheme deviations and large eddy simulation turbulence characteristics by combining a space-time attention mechanism; by correcting systematic deviation existing in a parameterization scheme, the analysis capability of a turbulence structure is improved, and physical description of a boundary layer process is optimized; compared with a traditional boundary layer scheme, the method has the advantages that the fog zone simulation precision is remarkably improved, the fog zone visibility, the liquid water content and the root-mean-square error of a liquid water path are reduced by 66.7%, 50% and 58.3% respectively, the problem that turbulence intermittent characterization is insufficient under a stable boundary layer in a traditional method is effectively solved, and a new normal form is provided for refined forecasting of the fog generation and elimination process.

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.

1. Name of the Design Product: Micro Rain Radar (Pro model). 2. Use of the Design Product: The micro rain radar is used to measure the vertical profile distribution of raindrop distribution, raindrop spectrum, rainfall rate, liquid water content, etc. within 0 - 6 km. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Stereogram.

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 invention discloses a power distribution line ice melting method, device and equipment and a storage medium, and relates to the technical field of disaster prevention of power systems, and the method comprises the steps: determining a corresponding target liquid-water factor based on the target icing weight data and target meteorological data of a power distribution line, determining predicted icing weight data corresponding to each distribution line based on the target liquid-water factor and the target icing weight data; the liquid water factor is a parameter for measuring the liquid water content in the ice layer; according to the predicted icing weight data, determining a to-be-ice-melted power distribution line meeting a preset ice melting condition, and based on a preset ice melting scheme optimization model and target icing weight data corresponding to the to-be-ice-melted power distribution line, determining a minimum risk coefficient of the to-be-ice-melted power distribution line; and generating an initial ice melting scheme corresponding to the distribution line to be subjected to ice melting based on each minimum risk coefficient, optimizing the initial ice melting scheme in real time, and performing ice melting treatment on the distribution line to be subjected to ice melting based on the optimized initial ice melting scheme. The ice melting efficiency of the distribution line can be improved.

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 invention relates to an icing rate prediction method based on an improved particle swarm back propagation neural network, and relates to the field of power transmission line ice disaster prevention and control strategy research, and the method comprises the steps: building an icing growth mechanism model of a power transmission line in a low-temperature rain and snow freezing environment; changing multiple environmental parameters through numerical simulation, and performing multi-factor analysis by using an icing growth mechanism model to obtain icing working condition data such as multiple scenes, multiple moments, multiple weather and multiple terrains; four environmental characteristic values including the liquid water content, the environment temperature, the water drop diameter and the wind speed in the air are used as the input quantity of the network, the icing rate of the power transmission line is used as the output quantity of the network, and therefore a BPNN prediction model is constructed; meanwhile, the weight and the threshold value of the BPNN are optimized through IPSO, and accurate prediction of the icing rate of the power transmission line is achieved. The method is simple and feasible, the algorithm optimization speed is high, the model prediction accuracy is high, and reference is provided for power transmission line icing prediction and early warning work.

The present invention relates to the field of wind power generation prediction and control technology, and discloses a relative humidity-based wind turbine icing and grid-trip risk warning method and system. The method comprises: obtaining weather forecast information for each forecast time point; for any forecast time point where the forecast temperature is less than zero degrees, substituting the forecast humidity information into a first calculation model fitted according to historical data to obtain visibility at the forecast time point; then substituting the solved visibility into a second calculation model fitted according to historical data to obtain liquid water content at the forecast time point; substituting the calculated liquid water content into a third calculation model fitted according to historical data to obtain the maximum number of wind turbine blades in the wind farm corresponding to the forecast time point that are iced and grid-tripped; and simultaneously substituting the calculated liquid water content into a fourth calculation model fitted according to historical data to obtain the expected number of wind turbines in the wind farm corresponding to the forecast time point that are iced and grid-tripped.

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 invention discloses a hail warning method and system based on lightning jump and support vector machine. The method obtains the combined reflectivity factor, vertical integrated liquid water content and echo top height data through radar network data, identifies the strong convective echo area and calculates the lightning time variability and its standard deviation. The method combines the lightning jump condition to screen potential hail events and further extracts the maximum value of vertical integrated liquid water content (VIL). max , jump increment GVIL and density VILD as feature parameters, and input them into the support vector machine classification model trained based on historical samples for secondary judgment, which effectively reduces the false alarm rate of the traditional 2σ algorithm and improves the accuracy of hail warning.

The invention relates to a heavy rainfall nowcasting method in combination with a liquid state ratio. The method comprises the following steps: collecting radar reflectivity data within one hour and rainfall live data of the next hour; converting radar reflectivity data into three-dimensional data under a Cartesian rectangular coordinate system, and converting rainfall actual data into a two-dimensional rainfall lattice point field; building a heavy rainfall nowcasting model; training the model on the training set, optimizing the hyper-parameters on the verification set, and testing the model on the test set; and obtaining rainfall estimation field data. According to the invention, a heavy rainfall nowcasting model is established by using double decoders based on a liquid state ratio and an attention mechanism, an encoder module is adopted to receive echo data after liquid state water content conversion processing and carry out feature coding extraction work, and two parallel decoder modules are adopted to output a heavy rainfall area prediction result and a rainfall prediction result respectively. Quantitative estimation and qualitative classification of a heavy rainfall area are improved by using a comprehensive loss function, and effectiveness tests show that the method can significantly improve the nowcasting accuracy.

The invention provides an aero-engine air inlet icing environment simulation test cloud and mist parameter control method, which is characterized by comprising the following steps: S1, establishing the influence of water pressure and air pressure of a spraying system on the average water drop diameter; s2, calculating the influence of the height simulation parameter and the wind speed on the average water drop diameter; s3, carrying out coupling analysis on the liquid water content parameter and the intake and exhaust parameters, and calculating the amount of water to be sprayed; s4, a one-way air supply system is adopted to achieve accurate control over the air pressure of the spraying system; s5, stable control over the water pressure of the spraying system is achieved through a circulating water supply system. According to the method, through cooperative control of the spraying system and the air intake and exhaust system, the precision of icing environment simulation is remarkably improved, more reliable test conditions are provided for an aero-engine air intake icing test, and the method is particularly suitable for cloud field simulation under complex environmental parameters (such as high wind speed and low air pressure).