152 results about "Cyclone" patented technology

The invention discloses a micro-scale turbine blade boundary layer heat-flow double-field synchronous test method and system. The test method comprises the steps that temperature field initial data and velocity field initial data are acquired; based on the initial data of the temperature field and the initial data of the velocity field, the distribution state of the microparticles in the boundary layer is diagnosed, and according to the diagnosis result, the optimal distribution of the microparticles in the boundary layer is obtained by feeding back and controlling the operation parameters of the reverse cyclone separation system; based on the optimal distribution, an improved PIV algorithm is adopted to calculate a boundary layer velocity field, and the improved PIV algorithm is obtained by introducing multistage grid adaptive encryption, physical constraint conditions and a transition area recognition mechanism into the PIV algorithm; a boundary layer temperature field reconstruction model is established, depth phase coupling is carried out on a temperature field reconstruction result and a boundary layer velocity field, synchronous analysis of heat-flow coupling behaviors in a turbine blade boundary layer is achieved, and finally a boundary layer coupling cloud picture reflecting heat-flow interaction characteristics is obtained.

The invention discloses a typhoon intensity prediction method and device fused with a space-time deep network, and a medium, and the method comprises the following steps: 1), collecting typhoon historical observation data, and obtaining typhoon data; 2) data preprocessing; 3) extracting data features; 4) feature fusion; 5) establishing a typhoon intensity prediction model; 6) model training; and 7) performing prediction by using the trained model, outputting a final prediction value, and restoring a prediction result into an actual typhoon intensity value through reverse normalization processing. The influence of the remote sensing satellite image and the characteristics of the tropical cyclone on the tropical cyclone strength estimation accuracy is considered, the typhoon strength prediction integrated with the spatio-temporal information is carried out, the spatio-temporal representation of the typhoon focus area is enhanced through the integration of the spatial characteristics and the time sequence characteristics of the typhoon, and the accuracy of the strength prediction result is improved.

The invention discloses an inland area TRP feature recognition and evaluation method based on data driving and numerical simulation, a medium and a program product, and relates to the technical field of meteorological disaster monitoring and early warning and numerical simulation. And objectively identifying a TRP event which occurs outside the typhoon circulation and is connected with the strong water vapor conveying belt by combining the typhoon peripheral circulation radius, the distance constraint and the whole-layer water vapor conveying flux. Key physical fields such as whole-layer water vapor flux, water vapor income and expenditure, dry invasion and monsoon water vapor surge are diagnosed by utilizing a regional numerical mode and reanalysis data, and a characteristic index set reflecting typhoon, monsoon and dry and cold air coupling influence is formed; on the basis, a data-driven learning algorithm is introduced, a TRP occurrence and rainstorm intensity grading recognition model is obtained through training, a risk assessment product is generated through calibration and risk grading, and therefore the inland typhoon long-distance rainstorm recognition and assessment capacity is improved.

The invention provides a pipeline type inrush water magnetic adsorption visual grouting plugging simulation method, which comprises the following steps of: 1, dynamically assembling a modular magnetic rod, sleeving a time sequence functional sleeve, pre-adsorbing a magnetic slurry layer, mounting a long pressure relief pipe with a shunting hole and a rotational flow grouting pipe, and integrally inserting into a pipeline for positioning; 2, high-speed water flow is dispersed through a pressure relief pipe, grouting parameters are dynamically regulated and controlled based on flow state perception, and dynamic balance is maintained through synchronous pressure relief of swirl jet grout; 3, after solidification, scanning through a pressure relief pipe ultrasonic probe, and constructing a three-dimensional density cloud picture to quantitatively evaluate integrity; and 4, the inert film is dissolved by the solvent to activate the lubricating layer, the degaussing coil counteracts the adsorption force, and the hydraulic mechanism axially pulls out the magnetic bar with constant force. The method has the advantages that magnetic flux self-adaption and pressure relief grouting cooperate to solve the flowing water plugging retention problem; high-quality recovery of the magnetic bars is optimized through sequential control; flow state perception and ultrasonic verification double closed loops guarantee the controllability of the plugging quality; the modular fast-assembly architecture supports cross-environment deployment from land karst to a deep sea scene.

The invention provides a multi-task tropical cyclone strength prediction method under guidance of physical information, a TC-MulPred tropical cyclone strength prediction model is constructed, and the TC-MulPred tropical cyclone strength prediction model sequentially comprises a feature aggregation module, a backbone prediction module, a feature enhancement module and a feedforward output module. The feature aggregation module performs feature aggregation on an input satellite image through encoding space information and tropical cyclone strength information to obtain global feature representation, and the backbone prediction module predicts the global feature representation based on an encoder and decoder framework to obtain a tropical cyclone strength initial prediction sequence. The feature enhancement module performs data enhancement on the initial prediction sequence of the tropical cyclone strength to obtain an enhanced prediction sequence, and the feed-forward output module maps the enhanced prediction sequence into a tropical cyclone strength index prediction value; in the training process, a physical guidance constraint loss function based on the tropical cyclone air pressure relation is introduced, and the tropical cyclone strength prediction precision is improved.

The present application relates to a kind of tropical cyclone intensity prediction method and device based on meteorological big model, method includes following stage: first stage: with satellite image and reanalysis atmospheric field data as condition, tropical cyclone intensity information is mapped to discrete vector hidden space by encoder, compare the mapping result with all vectors of learnable discrete codebook, take the closest vector and restore back original tropical cyclone intensity information by decoder, and iteration training is carried out to encoder, discrete codebook and decoder;Second stage: historical meteorological data is input into trained encoder and discrete codebook, is converted into discrete hidden variable, and is carried out autoregressive iteration, obtains forecast hidden variable, and with wind-uw forecast field data as physical constraint, tropical cyclone intensity information is restored back by decoder, obtains tropical cyclone intensity prediction result.Compared with prior art, the present application has the advantages of long-term prediction, good performance, reduced computing cost and the like.

The invention discloses a conditional diffusion method for reconstructing multi-source meteorological data for tropical cyclones. The conditional diffusion method comprises the following steps: acquiring an infrared radiation brightness set, a polarization correction temperature set and a sea surface wind speed of different tropical cyclones in a specified historical period; constructing a polarization correction temperature reconstruction model based on the conditional diffusion model; the input of the polarization correction temperature reconstruction model is an infrared radiation brightness temperature set, and the output target is a polarization correction temperature set; carrying out transfer learning on the trained polarization correction temperature reconstruction model to form a sea surface wind speed reconstruction model; the input of the sea surface wind speed reconstruction model is an infrared radiation brightness temperature set, and the output target is the sea surface wind speed. Therefore, the mapping relation from the infrared radiation brightness temperature to the multi-source meteorological data is established through generative deep learning of conditional diffusion, so that the multi-source meteorological data with the temporal-spatial resolution the same as that of geostationary orbit observation is reconstructed, and good performance is shown on various meteorological indexes and computer vision indexes.

The invention belongs to the technical field of mineral processing, and aims to solve the problems of universality of an underflow clamping phenomenon, low separation precision and high separation energy consumption of an existing classification cyclone. The invention provides three-product micro-fine particle rotational flow-reverse flow grading equipment which comprises an ore pulp distributor, an overflow collecting box, a reverse flow grading box and a plurality of grading hydrocyclones. The ore pulp distributor is used for uniformly distributing ore pulp to each grading cyclone; fine materials enter an overflow collecting box through an overflow pipe of the grading cyclone; a countercurrent grading area, a coarse-grain material collecting area and a middle-grain material collecting area are arranged in the countercurrent grading box, and the countercurrent grading area is used for separating coarse-grain materials and middle-grain materials through an arc-shaped rising structure and rising water flow. Secondary classification of the bottom flow of the cyclone can be achieved, the content of the thin bottom flow is effectively controlled, the design of the water seal of the bottom flow pipe is adopted, no air column exists in the cyclone process, the classification effect and stability are guaranteed, and meanwhile energy consumption can be effectively reduced.

The application discloses a LES super-high-resolution TC atmospheric flow field numerical simulation method and system, and relates to the fields of atmospheric observation, numerical assimilation and high-resolution numerical simulation. The method is characterized in that: three-dimensional dynamic-thermal information is obtained by implementing airship platform radar observation and downward sounding observation in the core area of a tropical cyclone; the radar radial wind and profile observation operators are preprocessed and constructed; a data assimilation strategy is adopted to integrate multi-source observation in a multi-nested grid numerical model to generate a three-dimensional initial / reanalysis field suitable for large eddy simulation; then, a large eddy simulation solver is configured on the innermost grid covering the boundary layer of the tropical cyclone; fine horizontal grids and boundary layer encryption vertical stratification are adopted to explicitly analyze the boundary layer vortex, small-scale convection and turbulent structure; and a super-high-resolution three-dimensional flow field product for fine evaluation of strong wind and disaster risk is output.

The invention discloses a cyclone separation unit, which is used for deoiling treatment of rock debris particles of more than 100 microns in oil-based mud, and at least comprises a plurality of material distribution cavities and barrel bodies which are arranged at intervals along the vertical direction; an oil-based mud material inlet and a gas inlet are formed in the top of the uppermost material distribution cavity and are used for receiving rock debris particles which are subjected to vibration screening and heating viscosity reduction treatment and contain the particle size of 100 microns or above and rotational flow driving gas; the multiple hydrocyclones are arranged in a multi-stage series-parallel connection mode; a multi-stage cyclone bin and a double-ring channel are arranged in each cyclone, and airflow carrying rock debris particles sequentially flows downwards in an outer ring of the double-ring channel, flows upwards in an inner ring of the double-ring channel and enters the multi-stage cyclone bin from top to bottom; in the cyclone bin, under the action of cyclone, airflow carries an oil phase removed from the rock debris particles to move upwards and flow out from an overflow port, and the rock debris particles move downwards under the action of gravity and are discharged from an underflow port. The invention further discloses an oil-based mud treatment device and method applying the cyclone separation unit.

[Problem] To improve dust collection efficiency while also reducing cyclone pressure loss. [Solution] A cyclone 1 comprises: an outer cylinder 3 provided to an upper part of a vortex cylinder 2; an inner cylinder 4 provided in a concentric manner inside the outer cylinder 3; a conical section 9 provided to a lower end of the outer cylinder 3; a flow-rectifying member 5 in which, near an upper end of the conical section 9 and in a space directly below the inner cylinder 4, a plurality of sheet-shaped flow-rectifying plates having a curved surface at least in the lower half are provided around the axis of the inner cylinder at equiangular intervals, with the curved surfaces of the sheet-shaped flow-rectifying plates being in the same direction as a swirling flow flowing along the inner periphery of the inner cylinder 4; an inflow cylinder 6 provided in a tangential direction to the outer periphery of the outer cylinder 3; and a discharge opening 8 provided to a lower section of the vortex cylinder. A lower end of the flow-rectifying member 5 can be supported at a bonded portion of the outer cylinder 3 and the conical section 9.

The invention relates to a cyclone separator regulation and control method and system, and belongs to the technical field of industrial control, and the method comprises the steps that tracing microspheres are injected into a main pipeline of a cyclone separator, and each tracing microsphere comprises a spherical transparent shell and a dark inner core; collecting a sequence image of the tracing microsphere; identifying kernel phases of the tracer microspheres in each frame of the sequence image, determining the number of overturning times of the tracer microspheres according to each kernel phase, and determining the average rotation angular velocity of the tracer microspheres according to the number of overturning times; positioning the coordinates of the tracer microspheres in each frame of the sequence image, associating the tracer microspheres in the front and back adjacent frames, and generating a motion trail according to the corresponding coordinates; and the inlet flow parameter of the cyclone separator is adjusted according to the average rotation angular speed and / or the motion trail. According to the technical scheme, the inlet flow parameters of the cyclone separator can be accurately and efficiently adjusted, and the separation effect is improved.

The invention provides a dust removal and heat storage cyclone, a dust removal and heat storage device and a method for stabilizing the temperature of hot air, and relates to the technical field of air treatment equipment.The dust removal and heat storage cyclone comprises a heat storage outer pipe, a heat storage core pipe, a guider and a heat storage module, and a dust falling opening is formed in the lower end of the heat storage outer pipe; the upper end of the heat storage core pipe is arranged outside the heat storage outer pipe to form an air outlet, the lower end of the heat storage core pipe is inserted into the heat storage outer pipe, and an annular gap between the heat storage core pipe and the heat storage outer pipe forms an air inlet; the guider is arranged in the air inlet and used for guiding heat removal air to form a spiral streamline and enter the heat storage outer pipe. The heat storage module comprises a heat storage body arranged in the heat storage core tube and a bearing structure used for fixing the heat storage body in the heat storage core tube. While efficient dust removal of the hot air is completed, temperature fluctuation of the hot air is effectively stabilized, and uniformity and stability of the temperature of the hot air during output are guaranteed.

The application belongs to the technical field of gas mixing, and discloses a gas cyclone mixing device and application thereof, which comprises a mixing cavity, a cyclone structure and a sleeve, wherein the cyclone structure is fixed in the mixing cavity through the sleeve, and the mixing cavity is divided into a mixed flow area, a cyclone area and an equal flow area from left to right in sequence; the cyclone structure comprises a circular plate and a flow-around column fixedly connected, the circular plate is in transition fit with the sleeve, the left side area of the circular plate is the mixed flow area, a plurality of gas inlets are arranged in the mixed flow area, and a plurality of inclined holes are formed in the circular plate; there is a gap between the flow-around column and the sleeve, and the gap is the cyclone area; the equal flow area is a necking portion with a gradually decreasing cross-sectional diameter from left to right, and the right end of the sleeve is in contact with the left side of the necking portion. The application can be applied to mixing of various gases at different temperatures under the working condition of 300k-1500k, and has the advantages of simple structure, rapid, sufficient and uniform mixing, and no power source.

The invention discloses a tropical cyclone abnormal path forecasting method based on spatio-temporal multi-scale fusion and evidence learning. The tropical cyclone abnormal path forecasting method comprises the steps of preprocessing collected satellite cloud picture data; marking the preprocessed satellite cloud picture on the basis of the IBTrACS optimal path set; constructing a tropical cyclone abnormal path forecasting model based on space-time multi-scale fusion and evidence learning; training the constructed tropical cyclone abnormal path forecasting model; and forecasting the abnormal path of the tropical cyclone at the future moment by using the trained abnormal path forecasting model of the tropical cyclone. The tropical cyclone abnormal path forecasting model provided by the invention not only can provide a high-precision path forecasting result, but also can accurately identify and forecast an abnormal path type, and provides reliable decision support and reference basis for a service forecasting department.

The utility model relates to the technical field of gas-solid separation, in particular to a double-inlet multi-stage matrix type cyclone separator capable of realizing efficient gas-solid separation, which comprises a primary cyclone separator, the device further comprises a second-stage cyclone separator and a third-stage cyclone separator. The two symmetrical inlets are formed in the first-stage cyclone separator, flow field asymmetry caused by an inlet structure can be effectively solved, the spiral guide vanes are arranged at the inlet of the second-stage cyclone separator, the pressure drop of the system is reduced by guiding airflow, and the separation efficiency is further improved. And a multi-inlet structure is arranged on the three-stage cyclone separator, so that the pressure drop of the cyclone separator can be effectively reduced through the multi-inlet structure, the separation efficiency of the cyclone separator is improved, the stability of an internal flow field of the cyclone separator is greatly improved, and the gas-solid separation performance is excellent. The cyclone separator is suitable for efficient dust removal and particle recovery under high-density and high-pressure working conditions of petrochemical engineering, coal chemical engineering and the like, the pressure drop of the cyclone separator is effectively reduced, and the separation efficiency is improved.

The utility model discloses a double-layer cyclone, which relates to the technical field of cyclones and comprises a cyclone chamber shell, a feeding channel is arranged on one side of the front end of the cyclone chamber shell, the feeding channel is fixedly connected to the outer surface of the cyclone chamber shell, and an overflow elbow is arranged in the middle of the top surface of the cyclone chamber shell. The peripheral side of the lower end of the overflow bent pipe is connected with the top surface of the cyclone chamber shell through a plurality of equidistant first bolts, and an overflow straight pipe is arranged at the lower end of the overflow bent pipe; through cooperation of the upper cone, the middle cone and the lower cone, acceleration of fluid is facilitated, cyclone separation quality is improved, the function of fluid separation is achieved, through cooperation of the cylindrical rack, the gear, the worm gear and the worm, the blocked cyclone is conveniently dredged, efficiency of the cyclone is improved, the dredging function is achieved, and the service life of the cyclone is prolonged. And finally, the problems of insufficient acceleration space, poor separation quality and easiness in blockage during fluid separation of the cyclone are solved.

The application relates to the technical field of cyclones, and discloses a cyclone which comprises a first cylindrical cyclone, a feeding pipe fixedly connected to the inner cavity of the first cylindrical cyclone, a feeding assembly fixedly connected to the top of the feeding pipe, a first water inlet pipe arranged at the top of the first cylindrical cyclone, a first discharge port arranged at one end of the first cylindrical cyclone, a connecting pipe fixedly connected to the bottom of the first cylindrical cyclone, a second cylindrical cyclone fixedly connected to the outer wall of the connecting pipe, a second water inlet pipe fixedly connected to the top of the second cylindrical cyclone, a second discharge port arranged at one end of the second cylindrical cyclone, and a discharge pipe fixedly connected to the end of the second cylindrical cyclone which is away from the second discharge port; the feeding assembly can be used for distributing the materials when the cyclone is used, so that the materials can be evenly fed into the first cylindrical cyclone, the blockage is reduced, the normal operation of the cyclone is maintained, and the practicability of the device is improved.

The invention discloses an explosive cyclone recognition and intelligent classification method, relates to the technical field of cyclone recognition and classification, is used for solving the problems that the explosive cyclone recognition accuracy is reduced, the path tracking capability is insufficient and the aging response capability is weak, and aims to improve the recognition accuracy of the explosive cyclone through reanalysis data based on high temporal-spatial resolution ERA5 in combination with local feature extraction and a multi-stage classification algorithm. And fine identification and visualization of the meteorological disturbance system are realized. The method comprises the following steps: performing space-time slicing on a sea level air pressure field through a sliding window, extracting air pressure gradient change rate, central air pressure, skewness, kurtosis and other features of sub-regions to form an initial feature set, generating an optimized feature set through low-pass filtering and a dynamic weight mechanism, inputting the optimized feature set into a support vector machine and a random forest two-stage classifier to perform cyclonic identification and explosive classification, and finally performing classification. And statistical charts of spatial distribution, path track, central air pressure change and the like are output.

The application discloses a kind of based on multi-scale sea level pressure field Arctic cyclone automatic detection and continuous tracking method, device and storage medium, belong to polar meteorology and climate data processing technical field.The method includes the following steps: (1) obtaining sea level pressure field data and pre-processing;(2) construct local pressure anomaly field;(3) identify candidate low pressure center;(4) calculate sea level pressure field curvature;(5) calculate local depth and background gradient parameter;(6) carry out multi-center cyclone identification and repeated center combination;(7) establish trajectory matching cost matrix;(8) cyclone continuous trajectory matching is realized using hungarian algorithm;(9) trajectory conflict optimization is carried out;(10) implement trajectory quality control.The application can improve the accuracy of arctic cyclone identification and trajectory continuity, reduce the false detection and false association problems caused by random noise, multi-center system and trajectory intersection.

The invention relates to the field of cyclones, and discloses an anti-blocking method and a cyclone.The anti-blocking method comprises the steps that a stable cyclone channel is constructed and maintained, specifically, the structure of a cyclone is adjusted to construct the stable cyclone channel, and the cyclone is effectively maintained before and after operation; the inlet pressure of each cyclone is adjusted to guarantee that the inlet pressure of each cyclone is balanced and moderate, and the incoming material density is controlled; the incoming material density is reasonably adjusted within a set range; a structural foundation can be provided for stable operation of the cyclone by constructing the stable cyclone channel, and inlet pressure of each cyclone can be adjusted in a balanced manner by controlling the valve between the feeding box and the material distribution box, so that the classification effect is improved, meanwhile, blockage is reduced, and the service life of the cyclone is prolonged. And blocking can be reduced while the grading effect can be properly improved through a measure of reasonably improving the density of supplied materials.

The application relates to a tropical cyclone disaster loss assessment method and system, and relates to the technical field of natural disaster risk assessment. The method is executed by a computer device and comprises the following steps: acquiring historical cyclone paths, wind field parameters and social and economic statistical data; performing uniform spatial resolution and coordinate reference alignment processing on population and economic spatial distribution data; calculating a hazard intensity index P; determining a cyclone influence range, extracting population exposure PE and economic exposure G; selecting a population and economic vulnerability index set, constructing a population vulnerability index PV and an economic vulnerability index EV; adopting Poisson regression to construct a death assessment model with P, PE and PV as independent variables; and adopting gamma regression to construct an economic loss assessment model with P, G and EV as independent variables. The application realizes double-dimensional and comparable collaborative attribution analysis of historical tropical cyclone event economic loss and population death, and outputs the relative contribution degrees of hazard, exposure and vulnerability to the two types of losses.

The embodiment of the invention discloses a method and device for evaluating the influence of tropical cyclones on the marine environment. The method comprises the following steps: continuously acquiring marine environment parameters of a tropical cyclone influenced sea area, and constructing a multi-dimensional parameter data set based on the marine environment parameters; derivation features are calculated based on the multi-dimensional parameter data set; taking the cyclone strength in the vortex category and the tropical cyclone data as classification features, taking data except the vortex category and the cyclone strength in the multi-dimensional parameter data set and the derivative features as continuous features, and constructing input data according to the classification features and the continuous features; and outputting an environment evaluation result by the trained multi-parameter coupling model based on the input data. In the embodiment, the classification features and the continuous features can be input into the multi-parameter coupling model at the same time, then the dominant factors are determined by quantifying importance ranking, the environment evaluation result is generated according to the dominant factors to predict the environment evolution in a period of time in the future, and the influence of the tropical cyclone on the marine environment is more accurately and quantitatively predicted.

This invention provides a method and apparatus for reconstructing the three-dimensional temperature and humidity field of a tropical cyclone based on deep learning and sparse observations. The method includes: acquiring radiosonde observation data and satellite remote sensing data for a target tropical cyclone region; mapping the radiosonde observation data onto a two-dimensional grid on multiple preset pressure layers to generate an initial temperature and humidity field containing missing data regions, and generating a mask to identify the missing data locations; interpolating and aligning the satellite remote sensing data onto the two-dimensional grid to form an auxiliary remote sensing field; combining the initial temperature and humidity field, the mask, and the auxiliary remote sensing field at each pressure layer to form a multi-channel input tensor, which is then input into a pre-trained deep neural network model. The model infers and completes the missing data regions, outputting the complete two-dimensional temperature and humidity field for the current layer; and vertically synthesizing the complete two-dimensional temperature and humidity fields corresponding to all pressure layers to obtain the three-dimensional temperature and humidity field of the target tropical cyclone.

The application discloses a kind of tropical cyclone temperature body structure calculation method and system, wherein the method includes: based on satellite microwave detection data and tropical cyclone position information, the three-dimensional temperature data of tropical cyclone area is smoothed, and temperature grid with tropical cyclone center as origin is formed.Three-dimensional temperature anomaly value is calculated according to the smoothed temperature grid.Based on three-dimensional temperature anomaly value, three-dimensional region growth method is used to extract tropical cyclone warm core main area.Based on the extracted tropical cyclone warm core main area, the isosurface is calculated using Marching Cubes algorithm.According to the isosurface, the light model is rendered to draw the three-dimensional visualization structure of tropical cyclone warm core.Based on the three-dimensional temperature anomaly value of tropical cyclone warm core main area, the tropical cyclone warm core intensity index is calculated.Thus, the application effectively solves the problem of insufficient overall understanding of tropical cyclone temperature structure in the prior art, and provides the ability of systematic quantitative analysis.

The invention discloses a cyclone strength prediction result correction method and device based on a diffusion model, equipment and a medium, and relates to the technical field of meteorological prediction, and the method comprises the steps: obtaining target meteorological data in a target time range; inputting the target meteorological data into a preset meteorological prediction server, so that a meteorological prediction model in the preset meteorological prediction server analyzes the target meteorological data by taking a preset ERA5 reanalysis data set as a boundary condition to obtain a tropical cyclone strength prediction result; and obtaining a tropical cyclone strength prediction result from a preset weather server, and correcting the tropical cyclone strength prediction result by using the target cyclone strength correction model. The model constructed based on the neural network is adopted to transform the initial prediction result, rapid and accurate correction of the tropical cyclone strength is realized, and the problems of insufficient prediction precision and low calculation efficiency are solved.

The invention discloses a multistage coalescence cyclone separation device and method, the device is used for two-phase or three-phase emulsion separation, and the device comprises: a housing which is sequentially provided with an inlet housing, a main housing and a housing cap from bottom to top; a raw material inlet of the inlet shell is tangentially arranged and is used for providing rotational flow for an inlet raw material; the multistage coalescence unit is provided with two stages or more than two stages of annular coalescence units which are arranged from inside to outside in the main shell, and is used for separating raw materials in a rotational flow state and capturing a dispersed phase; an outlet coalescence unit located under the shell cap is further arranged in the main shell and used for preventing the dispersed phase from flowing out and allowing the separated continuous phase to flow out. Through the combination of rotational flow and a multi-stage coalescence field, dispersed liquid drops in emulsion are thrown out through centrifugal force, make contact with a multi-stage coalescence medium and are captured and coalesced through the wetting and capturing effect, so that dispersed phases are efficiently separated, and the two-phase separation efficiency is improved; the method is not only suitable for oil-water demulsification separation, but also suitable for application scenarios such as gas-liquid two-phase separation.

The application relates to the field of tropical cyclone tracking, in particular to a tropical cyclone automatic tracking method based on a relative threshold value. The method comprises the following steps: obtaining meteorological historical data through a numerical weather prediction model, obtaining relative vorticity and warm core intensity of historical tropical cyclones according to the meteorological historical data; collecting historical tropical cyclone data, calculating relative thresholds of the relative vorticity and the warm core intensity according to the historical tropical cyclone data; obtaining meteorological data at different times according to the numerical weather prediction model, obtaining candidate areas at different times according to the relative thresholds and the meteorological data; obtaining multiple sets of longitude and latitude data and intensity data of tropical cyclone centers at different times according to the candidate areas at different times; and obtaining path and intensity information of each tropical cyclone changing over time by using a clustering algorithm according to the longitude and latitude data and the intensity data. The application solves the problems of low tracking efficiency and poor precision of multiple tropical cyclones in the prior art.

A raw coal premixing cyclone device of a non-pressure three-product heavy-medium cyclone comprises a barrel and a conical feeding port integrally formed in the barrel, the inner diameter of the upper end of the conical feeding port is the same as that of the barrel, the inner diameter of the lower end of the conical feeding port is the same as that of a first-section cyclone feeding elbow of the three-product heavy-medium cyclone, and the inner diameter of the lower end of the conical feeding port is the same as that of a second-section cyclone feeding elbow of the three-product heavy-medium cyclone. A spiral surface arranged along the inner wall of the cylinder body is arranged in the cylinder body, the spiral surface is of a symmetrical double-spiral structure, and the spiral direction of the spiral surface is the same as the rotation direction of fluid in the three-product dense medium cyclone; and the lower end of the conical feeding hole is provided with a flange plate for fixing the conical feeding hole on the feeding elbow of the first-section cyclone. Raw coal can be in a rotational flow state before entering the swirler, coal particles are prevented from directly falling into a separation flow field of the swirler and damaging the stability of the separation flow field, the probability that clean coal carries gangue or gangue carries coal can be reduced, the separation precision of the swirler is improved, and the separation efficiency of the swirler is improved. And the service life of the feeding barrel of the cyclone can be prolonged.

The invention discloses a cyclone strength prediction method and device. The method comprises the following steps: acquiring physical factor data, satellite cloud picture data and cyclone strength data in a historical period of time; preprocessing the physical factor data, the satellite cloud picture data and the cyclone intensity data to obtain a physical factor image, a satellite image and historical cyclone intensity; inputting the physical factor image, the satellite image and the historical cyclone intensity into a tropical cyclone intensity prediction model to obtain a 24-hour cyclone intensity prediction result; wherein the tropical cyclone strength prediction model comprises a hierarchical fusion sub-network, a deep convolutional neural network, a priori knowledge module and an uncertainty estimation module. And uncertainty estimation and long-term prior are fused, so that the prediction capability of the change trend of the cyclone strength and the accuracy of strength prediction are improved.