785 results about "Fluid power" patented technology

The invention provides a customized energy-saving air conditioner control method and device for industrial process requirements, and is applied to the technical field of data processing. According to the method, electromagnetic interference and vibration noise are eliminated through Kalman filtering, and a standardized process-environment-energy consumption correlation sequence is generated; and converting the three-dimensional process load map into a three-dimensional process load map, and establishing an individualized air conditioner dynamic load prediction model in combination with heat and humidity characteristics of a scene through fluid dynamic simulation and self-adaptive grid division. Extracting process priority factors to construct an adjustment matrix, calculating an air conditioner parameter combination under target energy consumption, extracting energy consumption characteristics, dividing standard exceeding risk levels, and constructing a multi-dimensional characteristic matrix; and comparing real-time data with historical data to identify abnormity, and generating an energy consumption optimization correction factor. Users are grouped according to enterprise conditions, key factors are screened by using a gradient boosting tree, a personalized energy-saving control model is constructed by fusing multiple information, target parameters are output, and a real-time adjustment instruction and a time-phased energy-saving strategy are generated in combination with a time sequence.

Embodiments include a buoyant wave energy converter. In an embodiment, the wave energy converter comprises an upper chamber having a first fluid reservoir and a first gas pocket, and a lower chamber having a second fluid reservoir and a second gas pocket. In an embodiment, an injection tube is between and fluidly coupled to the upper chamber and the lower chamber, where the injection tube is to impel a fluid from the second fluid reservoir into the first fluid reservoir when the upper chamber, the lower chamber and the injection tube oscillate about a waterline with the upper chamber adjacent to the waterline and the lower chamber submerged below the waterline and vertically beneath the upper chamber. An effluent tube is fluidly coupled to the upper chamber and the lower chamber, where the effluent tube is to return the fluid from the first fluid reservoir to the injection tube.

The invention relates to the technical field of air feeder regulation and control, and discloses an intelligent regulation and control method and system for an air conditioner air feeder. Performing parameter preprocessing to obtain an environment data set; according to the environment data set and the indoor geometric features, a fluid dynamic model is adopted to calculate and simulate the motion state of indoor airflow, and a temperature prediction result is obtained; performing result analysis based on a preset constraint condition to obtain an initial parameter scheme; performing feedback processing on the parameter scheme to obtain real-time feedback data; based on a preset stability standard ratio, a tuyere parameter control algorithm is adopted for calculation, and a parameter correction scheme is obtained; and balance adjustment is conducted, a final parameter scheme is obtained, and dynamic response and accurate control over the air supply state are achieved in combination with the correlation mechanism of indoor airflow movement and air outlet parameters.

The invention discloses a tunnel ventilation control system and method based on artificial intelligence, and relates to the technical field of ventilation control, and the method comprises the steps: in a tunnel design stage, building an unsteady-state computational fluid dynamics model based on tunnel three-dimensional linear parameters, calculating turbulence structures under different traffic conditions through a large eddy simulation method, and calculating an unsteady-state computational fluid dynamics model; determining an optimal space configuration scheme of the fan group according to the distribution of the velocity field and the pressure field; in the tunnel construction stage, multiple types of sensor arrays are arranged along the vault and the side wall of a tunnel in a layered mode; in the tunnel operation stage, real-time vehicle tracks and speed distribution information of a traffic monitoring system are obtained; establishing a ventilation demand dynamic prediction model based on space-time correlation analysis, constructing a fan cooperative control model considering airflow organization optimization, and solving an optimal operation strategy by adopting a multi-target adaptive weight distribution algorithm; when a fire characteristic signal is monitored, the multiple sets of fans are coordinated to form a relay type smoke exhaust airflow organization.

The invention relates to the technical field of gas turbine performance monitoring, and provides a gas turbine transient model automatic correction method based on digital object fusion, which comprises the following steps: step 1, carrying out data preprocessing on operation data of a gas turbine; 2, establishing a transient model of the gas turbine; step 3, determining key influence parameters having significant sensitivity to thermodynamic efficiency and hydrodynamic characteristics, and determining correction factors according to the key influence parameters; step 4, calculating the correction factor of the transient model of the gas turbine determined in the step 3; and 5, adjusting the gas turbine transient model by using the correction factor obtained by calculation to obtain a corrected gas turbine transient model. According to the invention, the accuracy and response reliability of dynamic adjustment of the model can be improved.

The invention provides a new class of transportation with a partially aerostatically supported ram air cushion ship (PASRACS) that can provide safe, fast, efficient global transport services with extraordinary comfort, luxury and amenities. The PASRACS employs inventive synergistic combinations of lift from aerostatic, aerodynamic, hydrostatic and hydrodynamic forces for different modes of operation ranging from a stationary floating configuration on a water surface, to flight in ground effect at high speed. A propulsion system can utilize hydrogen as an energy source driving fluid-dynamic thrusters, to enable zero carbon emissions operations. A transition method is provided for a PASRACS to transition from a floating mode to a takeoff mode to a flight in ground-effect mode in an inventive optimized manner. A transport method for multimodally transporting payload is provided with PASRACS vehicles and systems, with quick turn time operations enabled by the use of payload transfer transport modules and transfer vehicles.

The invention relates to the technical field of intelligent control of filters, and discloses an intelligent control method for a self-cleaning filter based on sensing of the Internet of Things. The method comprises the following steps: collecting multi-source sensing data such as inlet and outlet water pressure difference, flow fluctuation frequency, turbidity change rate and vibration spectrum characteristics when the filter runs; performing hierarchical clustering on the data according to a preset blockage level threshold value, and generating a blockage feature matrix with a timestamp; the matrix dynamic state is monitored in real time, and when the turbidity change rate and the covariance of the vibration spectrum characteristics exceed a dynamic threshold value, self-adaptive cleaning strategy switching is triggered; in combination with the time-space matching degree of a historical cleaning period and a current matrix, decomposing sub-feature sets of high-frequency blockage and low-frequency deposition modes, and correcting the weight of the high-frequency sub-feature sets through cross validation of fluid dynamics and mechanical wear parameters; and finally, a preferential cleaning area is reversely positioned along the structural topological graph of the filter, a three-dimensional cleaning path instruction is generated, and the opening degree of a blow-down valve is synchronously adjusted, so that the control and operation performance of the filter is optimized.

The invention discloses an intelligent scheduling and collaborative operation system and method based on aluminum alloy part manufacturing and machining, and relates to the technical field of aluminum alloy part manufacturing and machining. The system comprises the following components: a data acquisition and transmission module, which is used for arranging a plurality of sensors in each link of aluminum alloy part casting to acquire material performance and processing parameter data, encrypting and transmitting the data to a processing center, and carrying out data cleaning, format conversion and normalization preprocessing; through cooperative operation of machine learning and a fluid dynamics simulation technology, real-time, accurate and intelligent regulation and control are carried out on the whole aluminum alloy casting process, the machine learning analysis module can monitor material performance in real time and pre-judge the future change trend of the material performance, the fluid dynamics simulation module can deeply analyze casting defect generation roots, and the casting defect generation quality is improved. And the defects of air holes and shrinkage porosity can be prevented in advance, stable product performance is ensured, and the strict requirements of automobile parts and the like for high-quality aluminum alloy products are met.

A worm and worm gear pair heat-fluid-solid coupling analysis method comprises the following steps that 1, a heat-fluid-solid coupling simulation analysis model of a worm and worm gear pair is built, and a three-dimensional geometric model is built based on the worm and worm gear meshing principle; 2, parameterized grid division is carried out on the simulation analysis model, a tetrahedral unstructured grid is adopted for a fluid domain, and a worm and worm gear tooth surface area is densified; 3, based on the fluid dynamics theory and an RNG # imgabs0 # turbulence model, establishing an oil-immersed lubricating oil gas two-phase flow transient simulation model, and solving fluid dynamic pressure and a convective heat transfer coefficient through a pressure-speed coupling algorithm; 4, establishing a three-dimensional transient dynamic simulation model based on a solid mechanics theory, combining a temperature-stress coupling field equation, adopting an explicit dynamic algorithm, and iteratively solving thermal deformation and stress strain of the worm and the worm gear through a finite element method; and 5, bidirectionally transmitting the pressure of the fluid domain, the convective heat transfer coefficient and the thermal deformation data of the solid domain through the fluid-solid interface, and carrying out iterative solution until convergence.

The invention relates to the technical field of water pump intelligent control, and discloses a water pump controller parameter self-adaptive adjustment control method and system.The water pump controller parameter self-adaptive adjustment control method comprises the steps that meteorological early warning data, pressure pulsation signals of all pump stations and pipe network topology data are obtained; generating a time-space synchronous disaster monitoring data set through a data fusion algorithm; inputting the disaster monitoring data set into the deep space-time diagram neural network, and outputting a pipe network damage probability distribution diagram; generating a pulsation propagation prediction model containing propagation time delay and an attenuation coefficient based on a fluid dynamics equation and the pipe network damage probability distribution diagram; calculating a PID controller parameter coordinated regulation scheme of each pump station by minimizing an objective function including pressure deviation, flow fluctuation and parameter regulation quantity; and system response data is acquired in real time, and adaptive optimization of a control strategy is realized. According to the invention, stable operation of the water supply system under disaster conditions is realized.

Embodiments disclosed herein include buoyant wave energy converters. In an embodiment, the wave energy converter comprises an upper chamber having a first fluid reservoir and a first gas pocket, and a lower chamber having a second fluid reservoir and a second gas pocket. An injection tube is between and fluidly coupled to the upper chamber and the lower chamber, where the injection tube is to impel a fluid from the second fluid reservoir into the first fluid reservoir when the upper chamber, the lower chamber and the injection tube oscillate about a waterline with the upper chamber adjacent to the waterline and the lower chamber below the waterline and vertically beneath the upper chamber. In an embodiment, an effluent tube is fluidly coupled to the upper chamber and the lower chamber, where the effluent tube is to return the fluid from the first fluid reservoir to the second fluid reservoir.

Methods and systems for performing a formation pressure test include inserting a bottom hole assembly (“BHA”) into a wellbore. The BHA includes a drill bit and a formation testing tool with a battery and a fluid powered generator. An initial formation pressure test is performed while powering the formation testing tool with the fluid powered generator during the entire initial test. At least a portion of a formation pressure test is performed powering the formation testing tool with the battery during while the fluid powered generator is unavailable due to insufficient fluid circulation in the wellbore. The method also includes determining, using a processor, at least one characteristic of the formation based on results of the initial formation pressure test and the formation pressure test.

Hydrodynamic rotor shaft plain bearing for a rotor shaft (8), in particular of a wind turbine, comprising at least one axial bearing (1) with an axial bearing housing (2) and a plurality of axial bearing segments (5) arranged therein, wherein the axial bearing housing (2) is fastened to a carrier (25), wherein the axial bearing housing (2) has a housing body (2a) with a plurality of radial openings (4), wherein an axial bearing segment (5) is inserted into each opening (4), which axial bearing segment can be inserted and removed from the radial outside, and in that two laterally radially projecting fastening flanges (3) are provided on the housing body (2a), which fastening flanges are supported on support cuts (26) projecting from the carrier (25) and are fastened thereto in such a way that all axial bearing segments (5) are freely accessible from the radial outside.

The invention provides a cooling fan performance calculation method based on multi-physics field coupling. The cooling fan performance calculation method comprises the following steps that a parameterized geometric model of a fluid domain is established according to the size and the relative position of an engine cooling fan and a wind chamber test bed; respectively inputting the two parameterized geometric models into pretreatment software, respectively carrying out grid division on the two parameterized geometric models by using a grid division tool, and outputting a grid file after geometric discretization of the two parameterized geometric models; the discrete grid file of the engine cooling fan is imported into finite element analysis software, a pretreatment tool is used for defining material parameters for the engine cooling fan, boundary conditions and load constraints are applied, the discrete grid file of a fluid domain is imported into fluid dynamics analysis software, and fluid dynamics analysis is carried out on the engine cooling fan; setting a turbulence model, region and boundary conditions, a solver and the like; establishing a multi-physical field coupling model to realize data exchange among a plurality of physical fields; and operation calculation is carried out, a calculation result is post-processed, and qualitative and quantitative analysis is carried out on the fan performance.

A method for controlling a flow regulating valve (6) of a filling machine (1), controlling the flow of pourable food product, envisages: receiving an inlet pressure measurement (PIN) from a pressure sensor (14); receiving an inlet flow measurement (FIN) from a flow meter (16); determining a control signal (Sc) for controlling an operating position of the flow regulating valve (6) by combined contributions (C1, C2) of a flow feedback control module (22), receiving at its input a flow set point (FSP) and the inlet flow measurement (FIN) and generating a first control contribution (C1) indicative of a difference between the inlet flow measurement and the flow set point; and a flow feed-forward control module (20), receiving at its input the inlet pressure measurement (PIN) and the flow set point (FSP) and generating a second control contribution (C2) as a function of the flow set point and inlet pressure measurement, using pre-stored fluid-dynamic maps, which may be a result of a characterization of the flow regulating valve in a test condition. The flow feed-forward control module uses the fluid dynamics maps in a dynamically adaptive manner, depending on different operating conditions of the filling machine and / or the related pourable food product, thereby adapting to the same different operating conditions and / or the pourable food product.

A buoyant hydrodynamic pump is disclosed that can float on a surface of a body of water. Wave-driven oscillations result in periodic upward ejections of water inside a downwardly projecting tube that can be collected in a reservoir. Water within such a reservoir may return to the body of water via a turbine, thereby generating electrical power, or the device's pumping action can be used for other purposes such as water circulation, propulsion, dissolved minerals extraction, or cloud seeding.

The invention discloses a shaftless disc type turbine self-powered flow monitoring device. The device comprises a static assembly, a rotating assembly, a bearing and a data collection module which are coaxially arranged. Magnetic induction coils are distributed in the shell in the circumferential direction; the shell end cover is provided with a guide vane; the turbine comprises shaftless fluid power blades and permanent magnets which are uniformly distributed in the circumferential direction, the magnet yoke is rigidly connected with the impeller assembly, and the permanent magnets are arranged in a Halbach array; the dynamic sealing interface adopts a three-stage labyrinth sealing structure; the blade has an NACA airfoil section; the magnetic induction coil is of a three-layer close winding structure. Self-power-generation is achieved through the electromagnetic induction principle, an external power source is not needed, and cost is reduced; the shaftless design reduces mechanical faults, improves the reliability and prolongs the service life; the data processing module can realize high-precision measurement; a three-stage labyrinth sealing structure prevents fluid leakage; the optimized blade parameters adapt to fluid flow; the design of the permanent magnet assembly and the magnetic induction coil enhances the magnetic field and improves the power generation efficiency and the anti-interference capability.

The present invention provides a low-cost, non-invasive device (100) for measuring flow and leakage detection of fluids within closed conduits. The invention utilizes affordable a Micro-Electro Mechanical System (MEMS) based Inertial Measurement Units (IMUs) sensor (102) in the device to non-invasively measure fluid flow and leakage of fluids which exhibit turbulence or flow-induced-vibrations within a conduit. This device fin directly estimates flow rate or velocity based on the concept of Reynolds number in fluid dynamics. Further, this device is easy to install on pipes of all dimensions, requires minimal calibration, has no moving parts in contact with the fluid, can be integrated with Geographic Information System (GIS) software, and possesses advanced metering infrastructure to support remote reading and automated bill generation.

The invention relates to the technical field of mining monitoring, in particular to an intelligent mining monitoring system and method for a coal mine, and the system comprises a propulsion recognition module, a pressure work imbalance recognition module, a rotating speed cooling linkage module, a cooling efficiency delay module and a monitoring output module. According to the method, the abnormal response in the propelling process is disclosed step by step by collecting the propelling displacement and resistance change sequence of the tunneling oil cylinder, calculating the gradient change of propelling and resistance, comparing propelling and load mismatching sections and further analyzing the asynchronous behavior of the pressure intensity and the motor power, the coupling relation between a hydraulic system and a power system is extracted layer by layer, and the abnormal response in the propelling process is disclosed step by step. For coupling of start and stop of a cooling pump and the rotating speed of a main drive motor, a water temperature change curve is combined, a dislocation segment with the cooling response lagging behind mechanical restability is positioned, and it is determined that response delay exists when equipment deals with temperature rise. Segments with reduced thermal conduction efficiency are screened to identify cooling efficiency issues due to a mismatch of hydrodynamic force and thermal conduction response.

The invention belongs to the technical field of marine turbochargers, and discloses a marine turbocharger floating ring bearing rotor system lubrication model construction method, which comprises the following steps: S1, respectively carrying out physical modeling and mathematical modeling according to a real object of a three-blade and half-floating ring bearing of a marine turbocharger, and solving; s2, according to the oil film temperature-viscosity effect, the steady-state heat balance, the power consumption and the flow, a steady-state thermal fluid dynamic lubrication analysis model of the three-blade and semi-floating-ring bearing is constructed, and the static characteristics of the three-blade and semi-floating-ring bearing are obtained; s3, establishing a lubricating and wear characteristic theoretical calculation model in the starting process and the transient variable working condition process after starting, and obtaining the transient film thickness, the transient oil film force and the transient rough bearing force in the starting process; and the transient film thickness and the transient oil film bearing capacity after work starting are obtained. According to the method, a floating ring bearing rotor system lubrication model is constructed, the operation performance and safety of the marine turbocharger are improved, and the service life of the marine turbocharger is prolonged.

The invention belongs to the technical field of mechanical equipment fault detection and diagnosis, and particularly relates to a centrifugal pump multi-sensor data fusion cavitation monitoring and early warning system. The data acquisition unit comprises an acoustic emission sensor, a vibration sensor, a pressure sensor, a power monitoring sensor and a noise sensor and is used for monitoring different characteristics of a cavitation phenomenon; the signal preprocessing unit is used for preprocessing signals acquired by various sensors; the data fusion unit is used for recognizing typical characteristics of cavitation by combining a fluid mechanics model, a power consumption model and signals acquired by the sensor in real time; multi-sensor signal fusion and sound field, vibration field and fluid dynamic field coupling analysis are adopted; the two-way data analysis and operation state feedback unit comprises a real-time feedback mechanism and a reverse feedback mechanism, operation parameters are dynamically adjusted by monitoring operation data of the pump in real time, and the working state of the pump is optimized. According to the invention, the accuracy and real-time performance of cavitation monitoring are effectively improved.

The invention provides a wind generating set tower tube weld joint optimization method based on hydrodynamics, and relates to the technical field of hydrodynamics, the wind generating set tower tube weld joint optimization method comprises the following steps: obtaining an image of a junction of to-be-welded positions of a wind generating set tower tube, and extracting a junction center line in the image of the junction; according to the extension direction of the boundary center line, a constraint condition for keeping energy continuity of the molten metal at the inflection point of the extension direction is constructed, and the heat flux density formed by the molten metal at the inflection point of the center line is calculated; according to the heat flow density needing to be met in the step S2, the welding heat needing to be absorbed by the to-be-welded material when the welding seam is formed at each inflection point of the tower barrel welding seam is calculated; and a welding parameter-inflection point heat mapping model is constructed, optimal welding parameters are output through a global optimization algorithm, the fatigue strength of a welding seam under the wind load effect is improved, and the service life of a tower drum of the wind generating set is prolonged.

The invention provides a hydrodynamic actuator which comprises a piston cylinder, a piston, a piston rod for connecting the piston and the outside of the piston cylinder, and a cylindrical piston cylinder sleeve, the piston cylinder sleeve is connected to the outer side of the piston cylinder in a sleeving mode from the first piston cylinder end cover. A sealing piece matched with the inner wall of the piston cylinder sleeve is arranged on the outer wall of the piston cylinder and / or the first piston cylinder end cover; the piston rod penetrates through the first piston cylinder end cover of the piston cylinder and is fixedly connected with the bottom of the piston cylinder sleeve; a first driving fluid cavity is formed between the piston and the first piston cylinder end cover; a second driving fluid cavity is formed between the first piston cylinder end cover and the piston cylinder sleeve; a fluid rotation cavity is formed between the piston and the second piston cylinder end cover. The technical scheme can be widely applied to the field of force transmission components such as hydraulic cylinders and pneumatic cylinders.

The invention provides a mixing control method, device and equipment for oil field dry powder fracturing fluid and a medium. The method comprises the steps that mixing process data are collected in real time; establishing a virtual model based on the internal structure of the target equipment; performing dynamic simulation on fluid flow in the liquid preparation tank by using fluid dynamics, and constructing a real-time fluid motion model; based on a chemical kinetics principle, establishing a chemical kinetics model of dry powder dissolution, cross-linking reaction and gel breaking reaction, and fusing material characteristic parameters into the chemical kinetics model; inputting data of the mixing process into the virtual model, performing dynamic calibration on the virtual model through a real-time fluid motion model and a chemical kinetic model, dynamically adjusting water quality data, a material ratio and stirring conditions, and performing multi-scene real-time simulation analysis on the mixing process; and executing corresponding dry powder fracturing fluid blending control on the target equipment according to the blending simulation data. The fracturing fluid mixing quality and efficiency can be improved, and the development efficiency of unconventional oil and gas reservoirs can be improved in an auxiliary mode.

The invention discloses a Fluent-based numerical simulation and experimental design method for shaking of liquid in a tank of a tank truck, and belongs to the technical field of numerical simulation of fluid dynamics (CFD). The method includes the steps that the hole opening position of the wave-proof plate serves as an independent variable, multiple hole opening position schemes are designed, liquid shaking related indexes are determined to serve as dependent variables, a geometric model is established according to the actual structure of a tank truck tank body, a fluid mechanics model and boundary conditions are set, a solver is configured, output parameters and numerical simulation initial values are set, and an experiment is executed. The liquid shaking process of a certain swash plate trepanning scheme is simulated, acting force data, namely shaking index data, between liquid shaking and the inner wall of the tank body is recorded, the advantages and disadvantages of each trepanning position scheme are evaluated based on the shaking index data, and the optimal scheme is determined. According to the method, a real object experiment is replaced by CFD numerical simulation, parameter setting is carried out, the experiment cost and the experiment risk are remarkably reduced, the experiment efficiency is improved, and data support can be provided for industry design.

The invention discloses an electric drive bridge oil duct flow distribution optimization method and system based on a simulation technology, and belongs to the technical field of electric drive bridge lubricating oil duct design. The method comprises the steps that a mathematical model of an electric drive bridge lubricating oil duct and the target flow of each oil injection opening are obtained; performing gridding processing on the mathematical model, constructing a CFD simulation model, and calculating the simulation flow of each oil injection port; establishing a one-dimensional pipeline analysis model, and comparing a calculation result with a fluid dynamics simulation result to confirm the effectiveness of the one-dimensional model; setting a variable range by taking the pipe diameter of the oil injection port as an optimization variable, and performing multi-round optimization on the one-dimensional model by adopting a genetic algorithm to obtain optimization parameters meeting design requirements; reconstructing an oil duct model according to an optimization result, and performing designability verification through simulation; according to the method, lubricating oil flow distribution can be efficiently evaluated and optimized in the design stage, the optimization precision is improved, the development period is shortened, and the test cost is reduced.

The present invention discloses a multi-objective thermal-fluid topological design optimization method for the cooling element of a precision gear grinding machine tool, comprising the following steps: Step 1: Define the design domain: Expand the cooling element into a plane, define a two-dimensional design domain representing the cooling element's geometric structure, and discretize it using the finite element method; Step 2: Numerical modeling: Model the cooling element as a porous medium; Under the conditions of laminar incompressible flow, the fluid dynamics are governed by the dimensionless forms of the continuity equation and the momentum equation; The fluid-solid coupled heat transfer model is governed by the dimensionless energy conservation equation; Step 3: Construct an objective function: The optimization objective is defined as a weighted function of heat transfer and fluid dissipated power, and a fluid-solid heat transfer topological optimization model is constructed; Step 4: Solve the objective function; Step 5: Restore the shape and structure of the cooling element. The present invention also discloses a precision gear grinding machine tool and a cooling element.

The invention discloses a multi-objective optimization design method and system for an axial-flow circulating pump, and belongs to the technical field of evaporative crystallization systems.The method comprises the steps that design variables are selected to construct a multi-objective optimization model, the design variables are associated with geometric parameter sizes of an axial-flow pump full-flow-channel parameterization model, initial fluid dynamics calculation is executed, and a multi-objective optimization model is constructed; obtaining an initial data set containing a design variable-performance response mapping relation, and performing parameter sensitivity analysis on the initial data set to screen key design variables; on the basis of the initial data set, an optimal approximation model is adaptively selected for the key design variables, multi-objective optimization is carried out, and a Pareto optimal solution set is determined; uncertain factors are introduced for robustness evaluation, a target design scheme is determined, and after fluid dynamics verification is carried out, the design scheme of the design variables of the axial flow type circulating pump is obtained. According to the method, an optimization process with high integration, automatic iteration and intelligent learning is constructed, and rapid, accurate and steady multi-objective optimization design of the axial flow pump hydraulic model is realized.

Embodiments include a buoyant wave energy converter. In an embodiment, the wave energy converter comprises an upper chamber having a first fluid reservoir and a first gas pocket, and a lower chamber having a second fluid reservoir and a second gas pocket. In an embodiment, an injection tube is between and fluidly coupled to the upper chamber and the lower chamber, where the injection tube is to impel a fluid from the second fluid reservoir into the first fluid reservoir when the upper chamber, the lower chamber and the injection tube oscillate about a waterline with the upper chamber adjacent to the waterline and the lower chamber submerged below the waterline and vertically beneath the upper chamber. An effluent tube is fluidly coupled to the upper chamber and the lower chamber, where the effluent tube is to return the fluid from the first fluid reservoir to the injection tube.

The invention provides an air conditioner control method, an air conditioner and a storage medium. The method comprises the steps that thermal data, user state data and air quality data of a current indoor space are obtained in real time; according to the heating power data, the user state data and the air quality data, air supply grade area division is conducted on the current indoor space, and air supply grade area data are obtained; obtaining a computational fluid dynamics simulation model database matched with the current indoor space; predicting based on a computational fluid dynamics simulation model database by utilizing a preset air supply strategy model according to the thermal data, the user state data, the air quality data and the air supply grade area data, and generating a current air supply strategy; and the air conditioner is controlled according to the current air supply strategy. By applying the air conditioner control method, the precision of the air supply strategy can be improved, and the air supply effect is optimized.