1157 results about "Fluid power" patented technology

The invention provides an intelligent electric energy distribution cabinet heat flow field prediction method and system, and relates to the technical field of cabinet heat flow field prediction, and the method comprises the steps: carrying out the clustering analysis of the obtained operation data and material attributes of each region in an intelligent electric energy distribution cabinet, and the element layout information of equipment in the cabinet; respectively establishing a thermal-mechanical coupling model, a fluid dynamic model and an electromagnetic model; and according to the final refined grid model, simulating fluid dynamics by using a motion constraint smoothing particle fluid dynamics method so as to obtain an optimal layout scheme of the internal structure of the intelligent electric energy distribution cabinet. And calculating the optimal layout scheme by using an analog simulation technology to obtain an optimization scheme of air flow and heat transfer in the intelligent electric energy distribution cabinet, and realizing prediction of the heat flow field of the intelligent electric energy distribution cabinet. Accurate prediction and optimization of the heat flow field of the power distribution cabinet are realized, the reliability and safety of a power system are improved, and the accident risk and loss are reduced.

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 relates to the technical field of boiler temperature measurement, in particular to a waste heat boiler three-dimensional temperature field construction method and system and a medium. The method comprises the following steps: performing optical fiber sensor grid deployment on the waste heat boiler to obtain a distributed temperature acquisition network; sampling the distributed temperature acquisition network to obtain a boiler real-time temperature sequence; performing data preprocessing on the boiler real-time temperature sequence to obtain a boiler initial temperature field; based on the initial temperature field of the boiler, fluid dynamic model parameter construction is conducted on the waste heat boiler, and a boiler fluid characteristic parameter set is obtained; performing multi-physical field coupling on the boiler fluid characteristic parameter set to obtain a boiler theoretical temperature field; acoustic sensor array arrangement and data acquisition are carried out on the waste heat boiler, and acoustic spectrum acquisition data are obtained. By fusing various temperature field data, respective advantages and limitations can be complemented, and comprehensive and accurate temperature information of the waste heat boiler is obtained.

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 a control system for a water-jet loom. A data acquisition module acquires and transmits weft tension, humidity and temperature data in real time. The parameter calculation module calculates the optimal parameters of the water spraying time, the water pressure and the nozzle opening degree through a fuzzy control algorithm according to data changes and transmits the optimal parameters to a water spraying execution mechanism. The tension adjusting module adjusts the nozzle opening degree and the water spraying time according to the comparison result of the weft yarn tension and the preset threshold value. The nozzle optimization module optimizes the nozzle design by means of a computational fluid dynamics approach. The pressure adjusting module monitors pipeline pressure through a pressure sensor, and alarms and adjusts the rotating speed of a water pump and the opening degree of an electromagnetic valve if the pipeline pressure exceeds a threshold value. The state detection module monitors knitting needles and shuttles through the machine vision technology, and water spraying parameters are adjusted when abnormity occurs. The data processing module uploads data to a cloud platform, and big data and machine learning are utilized to optimize a control strategy so as to realize real-time monitoring and accurate control of various parameters of the water-jet loom and guarantee weaving quality and efficiency.

The invention discloses a thick plate welding residual stress numerical prediction method based on heat-fluid-solid multi-field coupling, which combines computational fluid dynamics with a finite element method, and comprehensively considers the flow characteristic and thermodynamic effect of liquid metal. In the CFD, the influence of metal melting, molten pool flowing, surface tension, buoyancy, heat transfer and fluid flowing on the geometric shape and temperature distribution of the weld joint is simulated, in the FEM module, the geometric shape and temperature difference of the weld joint are calculated based on the CFD, residual stress and deformation are further simulated and analyzed in combination with a life-death unit technology, and through the FEM module, the residual stress and deformation of the weld joint are obtained. The forming mechanism of the convex welding seam, the evolution rule of the thick plate welding residual stress and the influence of the geometrical shape on residual stress concentration are systematically researched.

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 relates to the technical field of numerical simulation, in particular to a grid model generation method for the fluid displacement process of well cementation engineering. The method comprises the following steps: acquiring geological data of a well cementation project area, and constructing an initial geological model; well cementation engineering design data are obtained, well cementation engineering topological structure modeling is carried out, and a well cementation engineering topological structure model is obtained; according to the initial geologic model and the well cementation engineering topological structure model, fluid dynamic simulation is carried out, and a fluid characteristic matrix is obtained; performing fluid displacement process simulation according to the fluid characteristic matrix to obtain fluid displacement process data; performing fluid displacement process optimization on the well cementation engineering design data based on the fluid displacement process data to obtain optimized fluid displacement process data, and performing resource allocation redistribution on the well cementation engineering design data according to the optimized fluid displacement process data to obtain optimized well cementation engineering design data. According to the invention, the accuracy of fluid displacement simulation can be improved.

The invention discloses a fluid optimization method for a hydraulic torque converter, which comprises the following steps of: constructing a geometric model of the hydraulic torque converter, generating a hydraulic torque converter model, and further performing grid division on the hydraulic torque converter model; setting a preset fluid model, setting fluid attributes of the preset fluid model, and further setting a preset boundary condition and an initial flow field condition; calculating an internal flow field of the hydraulic torque converter by adopting a preset solving method, analyzing a flow field result and identifying an abnormal region with energy loss exceeding a preset range; carrying out preset structure optimization on the hydraulic torque converter, generating a hydraulic torque converter optimization model, carrying out fluid dynamic simulation, and verifying an optimization result; and circulating the optimization process until the optimization model of the hydraulic torque converter meets a preset optimization requirement. According to the fluid optimization method for the hydraulic torque converter, the distribution of the flow field in the hydraulic torque converter can be deeply researched through analogue simulation, an energy loss source is found out, and a targeted optimization scheme is put forward.

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.

The invention relates to the technical field of immersed injection spray guns, and discloses a multi-channel rotational flow spray gun optimization method and system based on graph convolution, and the method comprises the steps: combining computational fluid dynamics and a graph convolution neural network technology, and rapidly predicting a velocity field and a pressure field of a spray gun through rotational flow spray gun grid coordinates and rotational flow blade boundary information; the design period is obviously shortened, the test cost is reduced, and the research and development efficiency is improved; the graph convolutional neural network model subjected to repeated training and verification has high generalization ability and high accuracy, and it is guaranteed that the spray gun can still provide reliable prediction results under different working conditions and variable industrial conditions. The system comprises a data acquisition and preprocessing module, a graph convolutional neural network model module and a rotational flow spray gun structure optimization module. The flow characteristics and local physical characteristics of the spray gun are further analyzed, efficient and stable performance can be kept in actual working conditions, the service life is prolonged, and the metallurgical reaction efficiency is improved.

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.

The invention discloses a method for simulating sediment erosion around an offshore wind turbine foundation by combining ISPH with a modified k-epsilon turbulence model. The method comprises the following steps: establishing an ISPH discrete algorithm for solving an average mass conservation equation and a momentum conservation equation of a fluid dynamic ensemble; correcting the standard k-epsilon turbulence model, and calculating the turbulence vortex viscosity vt in the Reynolds stress tensor expression; a critical starting theory on a slope is introduced, a traditional two-dimensional sediment starting model is corrected and expanded, and a three-dimensional sediment starting model is established; establishing a local scouring experiment water tank model of the offshore wind turbine single pile foundation; establishing a corresponding ISPH numerical water tank model; the experimental water tank model and the numerical water tank model respectively simulate the characteristics of the scouring process of sediment around the cylinder, and a numerical simulation result and an experimental result are compared, verified and analyzed. By means of the method, the sediment erosion process around the offshore wind turbine single-pile foundation can be well simulated, the calculation time is short, and the requirements of actual engineering can be met.

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.

The invention relates to an anti-explosion high-temperature-resistant explosion test pipeline design method based on finite element simulation, and belongs to the field of pipeline design and application. According to the method, mechanical and heat transfer behaviors of the pipeline under the combined action of high temperature and explosive shock waves are analyzed by simulating extreme working conditions such as explosion, fire blast and detonation, and the safety performance of the pipeline is improved. The method comprises the following specific steps: firstly, setting explosion working condition parameters based on test requirements and related standards; secondly, establishing a three-dimensional finite element model, and performing fluid dynamic simulation analysis; then, through thermodynamics and explosion impact data analysis, temperature, pressure and stress distribution is obtained, and design parameters such as the geometric structure, the material and the wall thickness of the pipeline are optimized; and finally, verifying the safety and the stability through experiments. The method improves the design efficiency and reliability, and is suitable for high-risk experiment environments such as petrochemical engineering and mines.

The invention belongs to the technical field of simulation analysis, and particularly relates to a medium-voltage environment-friendly gas insulation switch cabinet temperature field modeling method, which comprises the following steps: constructing a three-dimensional geometric model of a switch cabinet and carrying out simplification processing; the COMSOL multi-physics field simulation software is imported; electromagnetic-thermal bidirectional coupling modeling is carried out; adding a surface-to-surface radiation physical field; determining a fluid flow state based on a Glassu number, and selecting a corresponding fluid dynamic model; environment conditions are set, and radiant heat exchange power and a convective heat exchange coefficient are calculated; establishing a grid division strategy based on temperature contribution to obtain a simulation model of preliminary modeling; solving and post-processing a solving result, and analyzing hot spot distribution by using a temperature distribution diagram; a thermocouple is installed in a hot spot area in an actual switch cabinet, actual temperature data are obtained through measurement, and the simulation model subjected to preliminary modeling is corrected according to the actual temperature data. The temperature rise condition can be accurately predicted, and a powerful guarantee is provided for safe operation of equipment.

The invention provides a blade winglet control method and system for three-dimensional flow field analysis of a wind turbine blade, and relates to the technical field of intelligent control, and the method comprises the steps: solving a hydrodynamic equation through a numerical solution to generate three-dimensional speed, pressure and temperature distribution data of a blade surface; according to the speed, pressure and temperature data, the aerodynamic performance and the flow failure mode of the blade tip are recognized, so that the flow state of the blade area is obtained; the flow state of the blade area is analyzed to obtain geometric parameters of the winglet, and the geometric parameters comprise the length, the width, the installation angle and the shape; according to the geometric parameters of the winglets, the installation positions of the winglets are obtained, and the winglets comprise the pressure surface winglet and the suction surface winglet. According to the invention, the instability of airflow can be reduced, vortex and noise are reduced, noise emission during operation of the wind turbine is effectively reduced, and the environmental adaptability of the wind turbine is improved.

The invention relates to a drive train (100) and a hydrodynamic brake (9) for this drive train for a motor vehicle, in particular a truck, with at least one electrically driven drive axle (1) by means of at least one electric motor (4, 5) and two drive shafts (2, 3) each containing at least one drive wheel (6, 7). In order to operate the motor vehicle economically and with a weight-reduced design, at least one electric motor (4, 5) arranged close to the wheel is assigned to each drive shaft (2, 3) and a hydrodynamic brake (9) is arranged between the drive shafts (4, 5).

The invention relates to the technical field of pneumatic conveying, and discloses an intelligent pneumatic ash conveying automatic anti-blocking control system which comprises a modeling module for establishing a mathematical model for describing system behaviors based on system analysis and data preparation results by adopting a numerical simulation method, such as computational fluid dynamics (CFD) simulation, and a self-induction module for establishing an anti-blocking control module based on the established mathematical model. A self-induction boosting system is designed, the conveying state is automatically judged according to pressure changes, a self-induction boosting valve module enables a pneumatic boosting valve to automatically judge the conveying state based on data of a self-induction module, an external electric loop is not needed in the process, self-induction and action control are achieved only through internal air pressure changes, and the conveying state is automatically judged through the self-induction boosting valve module. The intelligent pneumatic ash conveying automatic anti-blocking control system achieves the effects of automatically detecting and automatically sensing the state of the ash conveying system and forming a self-sensing pilot valve through the self-sensing module and the self-sensing boosting valve module, and achieves the effects of effectively preventing and conveying no blockage.

The invention relates to a hydrostatic guideway and a manufacturing method thereof. The hydrostatic guideway mainly comprises four structural components, namely a supporting component, a linear shaft moving component, an oil way channel component and a connecting component. The manufacturing method of the static pressure guide rail comprises the steps that firstly, plastic pasting is conducted on the installation positions of the static pressure plates on the bottom face of the stand column, then the plastic pasting faces are scraped manually to improve contact precision and geometric precision, then the upper end faces and the lower end faces of all the static pressure plates are ground to be consistent in thickness on a grinding machine, and the height difference is within 0.002 mm; finally, the static pressure plate is connected to the stand column bottom through a torque wrench through screws, and manufacturing of the static pressure guide rail pair is completed. The invention has the following advantages: 1) the process of firstly pasting plastic and then scraping and grinding is relatively simple, and the machinability is strong; 2) the modular manufacturing cost of the components is low, and subsequent assembly debugging, maintenance and replacement are facilitated; and 3) the oil sealing edge and the guide rail surface of the lathe bed are grinding surfaces, the oil film thickness is uniform after floating, the hydrodynamic performance is close to the theoretical performance, and the problems of leakage of the oil sealing edge, non-uniform floating and the like in the traditional method are solved.

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.

The invention discloses assembly and production of a fluid power system in the transformer industry, and aims at providing a semi-intelligent assembly production line and method for a disc type oil pump, and the key points of the technical scheme are that the semi-intelligent assembly production line comprises a bearing plate on which a worker assembles the disc type oil pump; the conveying belt mechanism is used for conveying the bearing plate; the lifting device is connected with the conveyor belt mechanism; the stations are arranged at the designated positions of the conveying belt mechanism and used for assembling the disc type oil pumps step by step. The limiting devices are arranged on the upper U-shaped conveying belt, located at all the stations and used for stopping the bearing plates from moving; the trays are arranged beside the specified stations and are used for placing various parts of the disc type oil pump; the trolley is used for transporting the tray to a designated station; the hoisting mechanism is used for moving the assembled disc type oil pump to a designated position; the method is suitable for the technical fields of mechanical engineering, automation technology, intelligent manufacturing, fluid dynamics, electrical engineering, production engineering and the like.

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.