224 results about "Cyclone" patented technology

The invention provides a power equipment meteorological monitoring and early warning system based on artificial intelligence. The power equipment meteorological monitoring and early warning system based on artificial intelligence comprises a data acquisition module, a data preprocessing module, a spatio-temporal feature fusion module and a meteorological disaster prediction model, the meteorological disaster prediction model adopts a deep reinforcement learning framework, inputs a multi-dimensional spatio-temporal feature matrix, and carries out meteorological disaster prediction on the multi-dimensional spatio-temporal feature matrix. And outputting meteorological disaster risk levels and key parameter predicted values in a future preset time period, including a wind speed, precipitation, temperature anomaly and tropical cyclone path probability, a dynamic early warning threshold generation module, an early warning decision module and a model optimization module. The power equipment meteorological monitoring and early warning system based on artificial intelligence provided by the invention has the advantages that the data interpolation precision of a complex terrain region can be improved, high-precision prediction of a typhoon path, short-time strong wind and an icing risk can be realized, and the early warning accuracy and defense response efficiency of a power system to meteorological disasters can be comprehensively improved.

The invention discloses a flocculation treatment device and method for removing high turbidity of a water sample. The method comprises the following steps: monitoring an inflow turbidity parameter in real time, continuously collecting original optical characteristic data of water through an optical sensor array, and calculating a turbidity fluctuation rate parameter after noise reduction treatment; carrying out graded rotational flow mixing treatment, forming a pressure gradient through three stages of tapered rotational flow pipes in sequence, activating an ultrasonic frequency field, and synchronously adding main and auxiliary flocculants; the method comprises the following steps: introducing a water sample into a multi-stage gradient flocculation reaction zone, and sequentially executing turbulent flow enhanced flocculation, slow stirring flocculation and pulsed electric field assisted flocculation to form a floc structure with different particle size distribution; running parameters of a sedimentation module are adjusted according to real-time effluent turbidity feedback, and the inclination angle of an inclined plate assembly and the opening degree of a mud discharging valve are dynamically adjusted; a parameter set is updated through a prediction model based on periodically collected system operation data, a closed-loop optimization control strategy is formed, the adaptability to extreme turbidity is enhanced, the solid-liquid separation efficiency is improved, the overall energy consumption is reduced, and the efficient and stable requirements of emergency treatment are met.

The invention belongs to the technical field of meteorological analysis, and provides a southwest vortex identification and path tracking method and device, equipment and a medium. The method comprises the following steps: identifying a cyclonic circulation region; determining three characteristic parameter grid points in the cyclonic circulation region based on the three characteristic parameters; wherein the three characteristic parameters are the lowest value of the center of the southwest vortex relative to the potential height of the periphery, the highest value of the relative vorticity and the lowest value of the wind speed; determining a potential southwest vortex according to the three characteristic parameter grid points; and determining a southwest vortex in the potential southwest vortexes by using a four-layer wind field algorithm. The method provided by the invention can solve the problem that the traditional method cannot accurately identify the circumfluence situation.

The invention relates to the field of business forecasting, and discloses an intelligent weather forecasting system for numerical mode simulation, which is used for timely adjusting decisions according to business execution states and comprehensively improving weather forecasting accuracy and business decision scientificity, adaptability and real-time performance. The intelligent weather forecasting system based on numerical mode simulation comprises the steps that a cross-scale continuous correction vortex field is generated through spatial fractional order Laplace operation in combination with a bit vortex conservation law, meteorological phase change events such as cyclones and frontal surfaces are recognized through continuous coherence analysis topology, and invalid data are filtered; a Riemannian metric field of meteorological-commercial curvature conservation mapping is constructed based on conformal differential transformation, a decision manifold is constructed in combination with symplectic structure tensor and Gaussian curvature constraint, decision parameters such as a minimum entropy generation path output logistics curvature coefficient and an inventory elastic factor are solved, and real-time commercial data feedback is introduced to realize dynamic closed-loop calibration of the decision manifold. And the decision-making precision and response timeliness of commercial systems such as supply chains and energy sources in extreme weather are remarkably improved.

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 utility model discloses an atomization rotational flow crystallization device for CO2 resource recovery, which relates to the technical field of recovery of CO2 in combustion flue gas and comprises a spray gas inlet device, a spherical cyclone and a condensation crystallization device. According to the utility model, the atomization rotational flow crystallization device is adopted to realize CO2 resource recovery of flue gas, the flue gas is firstly in full contact with atomization absorption liquid sprayed by the multi-point spraying array assembly to form a flue gas absorption liquid mixture, the flue gas absorption liquid mixture is in a rotational flow state after entering the spherical hydrocyclone, and gas-liquid phase separation is carried out, so that the CO2 resource recovery is realized. The liquid phase is condensed under the condensation action of the condensation crystallization device to obtain a solid-phase product sodium bicarbonate and a liquid-phase absorption liquid, and the liquid-phase absorption liquid is subjected to temperature control adjustment and atomization again to provide an absorption liquid for the multi-point spray array assembly; and the method can also be used for large-scale CO2 resource recovery scenes such as thermal power plants and the like, the process and equipment are stable and reliable, the operation is flexible, and the CO2 absorption conversion rate is high.

A cone or cylindrical tube stack with narrow in-between gap circumferential surface swirling cyclone separator according to the present invention, creating swirling flow by flowing along the convex outer surface of the inner-stacked cone or cylindrical tube. The inner wall of the outer-stacked cone or cylindrical tube, which is a concave surface, serves as the wall for collecting fluid with larger or higher density particles that is opposite to the surface for swirling, which is disposed in accordance with the separation movement of larger or higher density particles that centrifuged from swirling by their inertial force. The distance that the particles travel towards the wall for collecting fluid with larger or higher density particles is short due to the narrow swirling and separating gaps, combined with the flow on the convex curved surface of the cone or cylindrical tube walls which pressure drag is low, this results in higher swirling speeds than those on the concave inner surface of conventional cyclone, significantly increasing the inertial force of particles centrifuged away from the swirling. Consequently, the separation efficiency of the cone or tube stack circumferential surface swirling cyclone separator according to the present invention is much higher than that of conventional cyclone separators. Especially in cases where the cyclone fluid separator according to the present invention is equipped with multi-stage separation, where the final stage utilizes multiple small cyclones, and in configurations where multiple cones are stacked and equipped with device for swirling and counter-flow separation, which convex fluid drainage ridges are installed on the wall for collecting fluid with larger or higher density particles, the ridges curving towards the side that the swirling flow flows to, sloping from the downstream edges of the cones or cylindrical tubes towards the upstream edges of the cones or cylindrical tubes, which counter to the swirling flow along the convex curved surface of the outer circumferential surface of cone or cylindrical tube. When working with a reverse swirling system, enabling to recycle multiple separation within the system before the fluid exits the separator, enabling high separation efficiency for separating various types of fluids mixed into emulsion or separating micron-level dust such as PM 2.5 from the air.

The invention belongs to the technical field of weather prediction, discloses a tropical cyclone ensemble forecasting method, system and equipment based on a depth generation diffusion model and a medium, and aims to improve the accuracy, reliability and uncertainty quantification capability of forecasting by taking the output of a big fortune weather model as a condition and generating a diversified forecasting set by using the diffusion model. The method comprises the following steps: acquiring global ERA5 reanalysis data at a current moment and a previous moment as initial field data of deterministic forecasting, and inputting the initial field data into a big fortune weather model to generate a deterministic forecasting result at a (t + 1) moment; taking the deterministic forecast result as the conditional input of a conditional probability diffusion model, and generating N ensemble forecast members through the conditional probability diffusion model in combination with random noise data and auxiliary condition information with the same dimension as the deterministic forecast result; and carrying out statistical analysis and calculation on probability distribution of tropical cyclone paths and strength based on the N ensemble forecasting members, and generating an ensemble forecasting product.

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 a continuous multi-stage narrow-granularity-section micron particle and coarse particulate matter grading screening device and a continuous multi-stage narrow-granularity-section micron particle and coarse particulate matter grading screening method. The device is formed by connecting a rotational flow grading module, a purification liquid supplementing module and a filtering concentration module in series, the rotational flow grading module and the purification liquid supplementing module are respectively formed by connecting n hydrocyclones with the same structure and different specifications in parallel, the hydrocyclones of the two modules are in one-to-one correspondence, every two hydrocyclones are connected in series to form a hydrocyclone group, then the n hydrocyclone groups are connected in parallel, and n is equal to the number of target particle size sections minus 1. And through a series-parallel connection structure of the multi-stage cyclone, precise stepless regulation and control and circulating purification of size grading are realized. After being stirred, a solid-liquid mixture is sequentially graded and purified by a cyclone group, and then is concentrated by a cloth bag filter of the filtering and concentrating module. The device is automatically controlled through a PLC, can realize high-precision and high-efficiency grading of micron and coarse particles in a narrow particle size section, and has the advantages of high separation precision, energy conservation, high applicability and the like.

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 discloses a typhoon center positioning method, device and equipment based on an SAR (Synthetic Aperture Radar) satellite, relates to the technical field of ocean microwave remote sensing, and is used for solving the problems that a typhoon positioning method in the prior art cannot accurately extract the position of a typhoon center and the positioning accuracy of the typhoon center is low. Comprising the following steps: acquiring basic data of an SAR satellite according to typhoon path information; performing sea surface wind speed and wind direction inversion based on the basic data to obtain inversion data; according to the inversion data, a gradient wind equation, a wind profile equation and the maximum wind speed are adopted to determine a high-wind-speed area of the typhoon; according to a cyclonic vortex structure of the typhoon, based on the vertical vortex field of the high-wind-speed area, the horizontal divergence field of the high-wind-speed area and the composite field of the high-wind-speed area, determining the position range of the center point of the typhoon; and positioning a typhoon center meeting preset precision according to the typhoon center point position range. According to the technical scheme, the positioning precision of the typhoon center can be improved.

The invention relates to the technical field of hydrocyclone design and manufacturing, and provides a hydrocyclone structure optimization method based on machine learning, and the optimization method comprises the steps: carrying out CFD simulation on the motion state of particles in a hydrocyclone; constructing a standardized data set; the correlation between the parameters and the particle rotation speed is analyzed through the Pearson correlation, and weak correlation parameters are removed; designing an integrated prediction model architecture based on a plurality of models, taking the reserved parameters as input, training and testing the parameters, and screening out the model with the optimal performance; embedding the screened model with the best performance into a PYQT5 framework to develop prediction software; angular velocities of the cyclone required in different application scenes are used as input of cyclone particle rotation speed prediction software, and an optimal structure parameter and operation parameter combination of the cyclone is analyzed under the condition that particle dehydration requirements are met through extrapolation operation of the prediction software. And an efficient and visual application tool is provided for performance optimization of the cyclone.

The invention relates to a tropical cyclone composite disaster multi-source data intelligent fusion early warning system, and the system comprises a data collection module which is used for collecting a multi-source data set; the preprocessing module is used for preprocessing the multi-source data set to obtain a standardized multi-source data set; the feature mining module is used for performing spatial feature mining and time feature mining on the standardized multi-source data set to obtain a spatial feature vector matrix and a time feature vector; the fusion module is used for fusing the spatial feature vector matrix and the time feature vector by adopting an attention mechanism to obtain a multi-dimensional fusion feature; the composite disaster prediction module is used for performing trajectory calculation and intensity evolution analysis on the multi-dimensional fusion features, and acquiring occurrence probabilities of rainstorm, flood and storm surge according to trajectory calculation data and intensity evolution data; and the early warning module is used for obtaining a comprehensive early warning result according to the occurrence probability of the rainstorm, the flood and the storm surge. According to the invention, accurate early warning of tropical cyclones and composite disasters caused by the tropical cyclones can be realized.

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.

A method of forecasting a maximum wind intensity associated with tropical cyclones, the method includes identifying a three-dimensional (3-D) field of ocean temperature and velocity, identifying a two-dimensional (2-D) field of sea surface temperature, tropopause temperature, surface level winds, incoming total solar radiation, and outgoing longwave radiation, determining a set of heat fluxes associated with ocean heat, and generating a 2-D map of the maximum potential intensity (MPI) based on (i) the set of heat fluxes and (ii) the first and second sets of data. The method may include training a machine learning model based on the first and second sets of data or the 2-D map of the MPI, and performing, based on the trained machine learning model and the 2-D map of the MPI, a mitigating activity corresponding to anticipated effects associated with the determined upper bound for tropical cyclone wind speed at a geographical location.

The invention discloses a flocculation cyclone, and relates to the technical field of water treatment, the flocculation cyclone comprises cyclone barrels, top openings are formed in the exteriors of the cyclone barrels at the foremost end and the tail end, and a bottom opening and a top opening are formed in the exterior of the cyclone barrel at the middle part; tangent water inlet flow regulation and control mechanisms are installed between every two adjacent sets of bottom openings and between every two adjacent sets of top openings. The bottom of the inner side of the rotational flow barrel is fixedly connected with a mud return cone, the outer part of the rotational flow barrel at the tail end is fixedly connected with a sedimentation tank, and the inner side of the rotational flow barrel at the tail end is provided with a flow breaking mechanism. The device adopts a plurality of groups of rotational flow barrel arrays, flow is regulated through a tangential water inlet regulation and control mechanism, high-shear gradient rotational flow is formed, a mud return cone returns settled flocculate with a speed gradient of zero to a high-shear gradient area, collision of the flocculate is promoted to be increased, the coagulation efficiency is improved, a flow breaking mechanism enhances the flocculation effect, and the device is suitable for high and low flow working conditions, and has a good application prospect. The agent dosage and the dredging frequency are reduced, and the water treatment efficiency is optimized.

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 sea surface wind speed inversion method and system based on a CYGNSS and Willoughby model, and belongs to the technical field of ocean remote sensing. The method comprises the following steps: firstly, extracting a cyclone parameter from IBTrACS data through a Willoughby model, and encrypting the cyclone parameter to 1 second for sampling by utilizing segmented three times of Hermite interpolation; screening CYGNSS mirror reflection points and constructing a data set in combination with a space matching algorithm; processing CYGNSS L1-level data and extracting observation parameters; establishing a basic GMF (Gaussian Mixture Function) according to incidence angle grouping, and optimizing the weight through nonlinear fitting; the Willoughby model wind speed and the basic GMF are fused to generate an enhanced GMF, the DDM signal-to-noise ratio is dynamically adjusted in combination with minimum variance estimation, and the precision is improved. According to the method, the GNSS-R technology is utilized to overcome the defects of high cost, limited coverage and the like of a traditional method, the sea surface wind speed monitoring reliability under the extreme weather is enhanced through collaborative optimization of a physical model and actually measured data, and the method has the advantages of low cost, wide coverage and interference resistance and is suitable for refined marine meteorological monitoring.

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.