4501 results about "Air velocity" patented technology

A portable fan includes: an airflow portion and a display screen. The airflow portion includes an air outlet, the air outlet is disposed surrounding a periphery of the display screen. The display screen has an outer surface at least partially curved; and / or the display screen is configured to display at least one of: a remaining battery power level, a current air speed, a battery power level during charging, and an operating state.

The invention provides a tunnel fan group cooperative control dynamic optimization method and system. According to the method, dynamic data of vehicles in a tunnel are tracked through the Leiyu fusion technology, and a multi-dimensional game parameter set is constructed in combination with edge computing node analysis data and environment monitoring indexes. Based on a dynamic game theory model, fan cooperative response intensity is dynamically adjusted, smoke exhaust efficiency and evacuation channel wind speed constraint are balanced, fan control priority is calculated, differential rotating speed and deflection angle control is driven, and game strategy weight is iteratively optimized after environment feedback data is generated. And realizing rolling time domain control until the vehicle movement and the environment index reach a stable interval. According to the technical scheme provided by the invention, dynamic collaborative optimization of tunnel smoke exhaust and evacuation safety is realized, and the ventilation response efficiency and the evacuation channel safety in an emergency scene are improved.

The invention discloses a low-airspace aircraft flight control system and method based on an ai algorithm, and relates to the technical field of ai algorithms, and the system comprises a data processing module which collects the environment data of an aircraft flight airspace, and carries out the denoising of the collected data; and the airspace unit capacity dynamic adjustment module dynamically adjusts the airspace unit capacity based on the flight state, the wind speed and the communication precision of the aircraft, and predicts the unit capacity demand in the future time period through an LSTM model. According to the method, a path with the optimal total cost is generated in a complex environment through an ai algorithm based on a heuristic search strategy, population diversity of a genetic algorithm is further matched, accumulated cost and prediction cost are combined through heuristic search, the generated path has global optimality, and the path has the optimal total cost. A path generation strategy can be flexibly adjusted in a scene with sparse or dense obstacles, and the method adapts to the complexity of low-airspace flight.

The invention discloses a tunnel fan energy-saving control method and system, a storage medium and a program product, and relates to the field of general control or regulation systems.The method comprises the steps that historical train flow data are obtained, and the predicted train flow of the next time period is obtained through calculation according to the historical train flow data; collecting real-time gas concentration data and wind speed and direction data; calculating a theoretical gas concentration increment based on an aerodynamic model, the predicted train flow, the real-time gas concentration data and the wind speed and direction data; calculating according to the theoretical gas concentration increment and a pollutant diffusion model to obtain a pollutant diffusion trend; determining a target section according to the pollutant diffusion trend and a preset gas concentration threshold value; according to the position information of the target section and the pollutant diffusion trend, the minimum starting number of tunnel fans and the corresponding minimum rotating speed are obtained through calculation; and generating a fan control instruction according to the minimum number of started fans and the minimum rotating speed. According to the method, the effect of reducing the energy consumption of the tunnel fan while the ventilation effect of the tunnel is maintained is achieved.

The invention relates to the field of grain drying, and discloses a grain drying energy-saving control system based on intelligent optimization, which comprises the following steps: after warehousing grains are detected, judging whether the water content of the grains exceeds a preset safety threshold value or not by collecting the initial water content of the grains and environment temperature and humidity information; according to the grain moisture content, the grain size distribution and the current environment condition, a multi-section type moisture change trend model fitting the drying process is constructed, and the decrease rate of the grain moisture content and the drying curve form in the future stage are predicted; analyzing the deviation value between the water content change slope and the target drying rate in the prediction curve; judging whether an adjustment potential exists or not by modeling a response relationship among the current hot air temperature, wind speed, heat source power and water content change; and according to the heat energy use analysis result, control instructions of hot air temperature, air speed and air supply modes are automatically generated. The self-adaptive energy-saving grain dryer has the advantage that the self-adaptive capacity and the energy-saving effect in the grain drying process are improved.

The invention discloses a boiler combustion optimization method and device based on CFD numerical simulation and a medium, and belongs to the technical field of boiler combustion simulation. The method comprises the steps of obtaining operation parameters and historical operation data of a boiler combustion system; processing the data based on a three-dimensional modeling algorithm to generate a three-dimensional combustion model of the combustion area of the boiler; the three-dimensional combustion model is processed based on a CFD numerical simulation algorithm, and multi-physical field coupling data of the combustion process is generated; processing the multi-physical field coupling data and the historical operation data based on a multi-objective optimization algorithm to establish a combustion parameter optimization model; adjusting the ratio of the air speed at the inlet of the combustor to the fuel flow to update the model and optimize combustion parameters; verifying whether the optimized combustion parameters meet constraint conditions or not; and when the constraint conditions are met, finally optimized combustion parameters are output. By means of the method, multi-physical-field dynamic coupling optimization in the boiler combustion process is achieved, and the purposes of synchronously improving the combustion efficiency and the pollutant control effect are achieved.

An air guide frame, a fan head, and a handheld concentrating fan are provided. The air guide frame is configured to be arranged at an air outlet of a fan head and guide air from a fan. the air guide frame includes an inner frame and a separator ring arranged at a periphery of the inner frame; a first air channel is formed in a periphery of the separator ring; a second air channel is formed between the inner frame and the separator ring; and a wind speed of wind exported from the second air channel is greater than a wind speed of wind exported from the first air channel. Compared with the existing technology, the air guide frame having the first air channel and the second air channel can implement the wind speeds of winds blown out through the two air channels being different.

The invention provides an energy-saving control method based on dynamic air conditioning operation data, and relates to the technical field of intelligent control and energy-saving optimization of an air conditioning system.The energy-saving control method comprises the steps that operation data, including temperature, humidity, air velocity and energy consumption data, of an air conditioning system are collected, and a comfort index, an air quality index and an energy efficiency index are generated; the method comprises the following steps of: generating an air conditioning index comprehensively, setting a control target parameter of a system, further generating an operation standard value, dynamically generating a control strategy which comprises the steps of adjusting the switching time of a cooling mode and a heating mode of a fan, optimizing the operation speed and time of the fan and adjusting the operation frequency of a compressor, and finally, if the generated air conditioning index exceeds the standard value, controlling the system to operate. And if not, control strategy adjustment is repeated until the air conditioning index is within the standard value. The control strategy is dynamically adjusted by collecting and analyzing the operation data of the air conditioning system, efficient operation of the system is achieved, and the comfort level of a user and the energy-saving effect are improved.

The invention belongs to the technical field of wind turbine yaw control, and relates to a wind turbine yaw cooperative control method and system based on a yaw wake flow model. The method comprises the following steps: selecting three wind turbines as target units; calculating a power loss rate to obtain a wake flow loss evaluation index; determining the wind turbine influenced by the wake flow according to the wake flow loss evaluation index; establishing a target function taking the total output power of the wind turbines as an optimization target, establishing a function relational expression between the yaw angle and the incoming flow wind speed of the downstream fan, and determining a relational expression between the incoming flow wind speed and the output power by utilizing a static power curve of the adjacent wind turbines; and the incoming flow wind speed is set, and the yaw angle of the wind turbine under the maximum output power is determined. On the basis of a three-dimensional yaw wake flow model of the wind turbine, a target function with the total output power of the three wind turbines as an optimization target is established, an optimization strategy of the three wind turbines is obtained through yaw power calculation, and active yaw cooperative control over the wind turbine units at different wind speeds is achieved.

The invention relates to the field of cableway transportation safety control, in particular to a cableway lift carriage operation deflection attitude monitoring device and a control method, and the method comprises the steps: collecting the position, speed, attitude angle and local micro deflection disturbance information of a lift carriage in real time by constructing a multi-mode sensing network; the frequency of the sensor is dynamically adjusted by adopting an adaptive sampling mechanism, and space-time alignment and fusion of heterogeneous data are completed in combination with dynamic time warping and minimum mean square estimation; strengthening the key disturbance dimension based on a disturbance-driven attention mechanism, and predicting a future deflection angle sequence; a decoupling torque is generated through spatial deflection vector field modeling, regional coupling tensor analysis and a dynamic direction alignment matrix, and power consumption constraint and a dynamic environment parameter optimization control instruction are fused; and finally, driving the quadrilateral moment gyroscope to execute correction, and constructing a multi-dimensional evaluation index based on the attitude response residual error. According to the method, adaptive closed-loop adjustment of the control strategy is realized, and the robustness under wind speed disturbance and load variation is improved.

The floating type offshore wind turbine based on the tuned mass damper comprises a floating type foundation and a wind generating set, the wind generating set comprises a stand column, and the tuned mass damper is arranged in the stand column; the floating foundation comprises a buoy and a mounting platform, a base plate is slidably connected into the buoy, one end of the base plate is connected with the buoy through a damper spring, and the other end of the base plate is connected with the mounting platform through a supporting column. A submersible pump is arranged on the surface, close to the buoy, of the mounting platform, communicates with seawater through a first pipeline and communicates with the buoy through a second pipeline. And the buoys are distributed in a circumferential array along the mounting platform. The wind-resistant strength is improved, the cost is low, resetting is fast, the resetting effect is good, and offshore wind energy resources can be better utilized; the tuned mass damper is installed, vibration is reduced through compression and reset of the damping spring, and safety is improved; an air speed sensor is arranged, offshore air speed and air volume can be monitored, and the controller can conveniently control whether seawater is extracted or not.

The invention discloses an air conditioner control method and system, electronic equipment and a storage medium, and relates to the field of air conditioner control. The method comprises the following steps: determining an energy-saving award coefficient and a comfort award coefficient according to a current time period and a current season; constructing an energy-saving award function according to the energy-saving award coefficient, constructing a comfort award function according to the comfort award coefficient, and constructing an instant award function according to the energy-saving award function, the comfort award function and a punishment mechanism; state data and action data of operation of the air conditioner are obtained, the state data comprise the indoor temperature, the outdoor temperature and the temperature, the mode and the air speed set by a user, and the action data comprise air speed adjustment, mode adjustment and temperature adjustment; and the optimal action of the next state is determined according to the state data, the action data and the instant reward function, and the operation parameters of the air conditioner are adjusted according to the optimal action. By implementing the technical scheme provided by the invention, a more efficient and environment-friendly air conditioner control method is provided.

The invention relates to the technical field of wind turbine generators, particularly provides an aeroelasticity analysis method, system and equipment of a fan blade and a medium, and aims to solve the aeroelasticity analysis problem of a flexible fan blade. Therefore, the aeroelasticity analysis method for the fan blade comprises the following steps: acquiring blade parameters and wind speed data of a to-be-analyzed blade; determining the aerodynamic load of the to-be-analyzed blade based on an aerodynamic model, the blade parameters and the wind speed data; based on the blade parameters and the aerodynamic load of the to-be-analyzed blade, determining the structural response of the to-be-analyzed blade; and carrying out aeroelasticity analysis on the to-be-analyzed blade based on the aerodynamic load and the structural response of the to-be-analyzed blade. The method is suitable for aeroelasticity analysis of the flexible blade of the wind turbine generator, and provides reliable reference for aeroelasticity stability evaluation of the flexible blade of the wind turbine generator.

The invention discloses an energy-saving control method based on a building group spatial form, which relates to the technical field of energy-saving control, and comprises the following steps: constructing an airflow track analysis region based on a region with hot pressure difference direction change in a spatial pressure covering sensing matrix, and collecting continuous wind direction and wind speed data; judging whether the airflow direction is abnormal or not according to the change of the flow direction consistency entropy; performing spatial coincidence processing on the spatial pressure shielding sensing matrix and the airflow direction abnormal region, and generating an air outlet ventilation and heat extraction efficiency evaluation index based on the heat conduction rate in the coincidence region and the stability of an airflow output path; and on the basis of the ventilation and heat removal efficiency evaluation index of the exhaust outlet, an exhaust response condition matrix containing a space pressure shielding parameter, an airflow disturbance level and a heat retention level is constructed, and a ventilation control judgment sequence is generated. According to the method, the problem of air exhaust failure under pressure shielding interference is solved, ventilation efficiency accurate judgment and energy-saving regulation and control optimization are achieved, and the ventilation stability and the energy utilization efficiency of the building group are guaranteed.

The invention discloses an energy-saving control method and system of a dehumidifier, a medium and equipment, and relates to the field of dehumidification equipment. The method comprises the following steps: acquiring node position data, node air velocity data, node humidity data and node temperature data in a space by arranging sensor nodes, and establishing an air flow model by utilizing a fluid dynamic model in combination with three-dimensional space data. Generating a moisture distribution diagram based on the model, determining a target area with the moisture concentration exceeding a preset threshold value, then determining an optimal target airflow channel according to the position of the target area, and controlling the rotation direction of a fan to enable the suction direction of the fan to be consistent with the airflow direction of the target airflow channel. The target air speed of the draught fan is set according to the channel airflow speed, the operation frequency of the compressor and the opening degree of the electronic expansion valve are cooperatively adjusted by combining the humidity value of the target area, the target air speed and the operation parameters of the dehumidifier, precise dehumidification control based on space moisture distribution is achieved, the dehumidification efficiency of the dehumidifier is improved, and therefore the energy-saving capacity of the dehumidifier is improved.

The invention discloses a tunnel hydrogen energy vehicle leakage and explosion risk prediction and automatic ventilation emergency disposal method, and belongs to the technical field of hydrogen leakage accident risk prediction and emergency disposal. According to the method, the potential leakage point of each component is determined by obtaining hydrogen-related component information of the hydrogen fuel cell vehicle. An accident tree is used to identify a root cause that may cause hydrogen leakage in the system, and then different accident scenarios are defined. And according to the leakage scenes of different hydrogen-related parts, determining the leakage frequency and the complete fracture frequency, and determining the disaster category. And finally, according to the leakage probability, the ignition probability and the consequences of different accident situations, calculating the comprehensive probability of disaster occurrence. And in combination with a hydrogen concentration sensor array arranged in the tunnel, the longitudinal ventilation air speed and the transverse exhaust air rate are automatically analyzed and adjusted, and the optimal economical, safe and efficient combined ventilation array is obtained according to risk indexes. The method can effectively predict the disaster-pregnant risk of the hydrogen storage vehicle in different environments, provides an economic and safe emergency disposal scheme, and can provide a theoretical basis for the safety technology development of a hydrogen storage system.

The invention discloses an unmanned aerial vehicle path planning method and device considering urban wind field factors. The method comprises the steps that building and unmanned aerial vehicle airport data are acquired, and a three-dimensional urban model and a rasterized airspace model are constructed; constructing a multi-rotor unmanned aerial vehicle energy consumption model; acquiring dominant wind data and performing CFD urban wind field simulation; dividing a super wind speed area and a turbulent flow area as flight risk areas; constructing an unmanned aerial vehicle path planning model considering the influence of the urban wind field; planning the path of the unmanned aerial vehicle in the wind field. According to the method, risk area division is carried out based on CFD simulation, the wind speed and turbulent kinetic energy spatial distribution can be captured, the method adapts to the wind resistance of the unmanned aerial vehicle and turbulent area flight limitation, the energy consumption can be reduced by utilizing a wind field, the capability of improving the energy efficiency is achieved, and a uniform path planning model with safety and energy efficiency as targets in the wind field is constructed.

The invention relates to the field of wind turbine generator control, in particular to a wind turbine generator operation control optimization method and system based on deep learning, and the method comprises the steps: obtaining the vibration, bearing temperature and generator winding temperature of a wind turbine generator, and the wind speed, wind direction and air density of the wind turbine generator; inputting all acquired data into a control parameter acquisition model, and outputting an ideal control parameter set of the current wind turbine generator; calculating an accurate rated wind speed; adjusting the control frequency based on the wind speed and the wind direction; each control parameter is adjusted; the wind turbine generator operation control optimization system comprises a data monitoring module, a control parameter acquisition module, a control frequency adjustment module and a pitch angle adjustment module. The method has the advantages that limitation of a traditional single-machine control strategy is broken through, especially when the wind speed is lower than the rated wind speed, the ideal increment of the pitch angle is actively adjusted, and therefore the total generating capacity of the wind power plant is improved.

The invention discloses a low-altitude aircraft air traffic management method and system, and relates to the technical field of aircraft air traffic management, and the method comprises the following steps: a traffic management system formulates the flight path, speed, course and formation of each unmanned plane according to a preset flight plan and performance demands before the flight performance begins; by monitoring the flight state of the unmanned aerial vehicle in real time and combining external disturbances such as wind speed and airflow, the path and speed of the unmanned aerial vehicle deviating from the trajectory can be dynamically adjusted, trajectory deviation caused by wind speed change is effectively prevented, the flight formation is kept stable, the relative distance is prevented from being too close or disordered, and the collision risk is reduced. Meanwhile, the deep learning model intelligently evaluates the flight consistency deviation, identifies the unmanned aerial vehicle deviating from the trajectory, and adjusts the path in time when the deviation exceeds a threshold value, thereby ensuring the flight safety, preventing the collision caused by the trajectory deviation, and guaranteeing the stability and safety of the group flight.

The invention provides a permafrost region ventilation pipe foundation design method based on a heat balance principle, and aims to keep heat balance of permafrost on the lower portion of a foundation and ensure long-term heat stability of the foundation. According to the method, meteorological data, soil physical parameters and permafrost upper limit and ground temperature distribution information are collected so as to evaluate whether additional protection measures are needed or not and determine the burying height of the ventilation pipe foundation. And based on the selected ventilation pipe configuration, the air speed in the pipe is calculated by using a corresponding air speed calculation formula, and the convective heat transfer coefficient is determined accordingly. And determining the diameter of the pipeline by combining the convective heat transfer coefficient and the economical efficiency. And the cooling radius and the optimal operation mode of the ventilation pipe foundation are further determined, so that heat balance at the bottom of the foundation is ensured, and permafrost at the lower part of the foundation is effectively protected. The design method is simple, convenient, rapid and accurate, and has important engineering application value and wide applicability.

The invention relates to the technical field of unmanned aerial vehicle control, and discloses a high-precision hovering system and method for an omni-directional flying robot, and the method comprises the steps: collecting the connection state of a module assembly, and allowing a flying action when the connection state is judged to be normal; collecting GNSS signal intensity of the positioning sensor, determining a positioning decision mode according to the GNSS signal intensity, and generating flight attitude control data according to the positioning decision mode; according to the flight attitude control data, the flight attitude of the flying robot is adjusted based on closed-loop PID control of a harmonic reducer and a servo motor; obtaining predicted wind speed data, determining disturbance torque, and performing feed-forward compensation on the flight attitude according to the disturbance torque; and controlling the central double rotors of the flying robot to continuously operate, and controlling the outer side rotors in the flying robot to start and stop based on Q-learning. According to the invention, the anti-wind hovering performance is guaranteed, the energy utilization rate is improved, and the environmental adaptability, the anti-wind stability and the cruising ability of the aircraft are enhanced.

The invention relates to the technical field of odor emission reduction, in particular to an odor emission reduction control system and method for livestock and poultry manure compositing. According to the system and the method, concentration changes of ammonia gas, hydrogen sulfide and volatile organic compounds and temperature and humidity data in a composting environment are accurately obtained through real-time performance and multi-parameter association of gas monitoring in the composting process; the method comprises the following steps of: calculating a diffusion path, a speed and a coverage area of gas in a compost body through finite element analysis, quantifying the distribution characteristics of gas concentration in space, optimizing the wind speed, the wind quantity and the layout of a ventilation system, and improving the ventilation efficiency. Pattern recognition is performed on compost environment gas emission data through the convolutional neural network, the turning frequency and the compost microenvironment are dynamically adjusted in combination with the gas concentration, a gas emission high-value area and a main guide source are accurately positioned, accurate control over compost fermentation odor emission is achieved, and the systematicness and refinement level of compost odor treatment is improved.

The utility model is suitable for the technical field of household appliances, and provides a moisture absorbing and discharging system, a drying module and clothes processing equipment, the moisture absorbing and discharging system comprises a moisture absorbing and discharging part, a moisture absorbing and discharging shell and a second driving part, the moisture absorbing and discharging part is arranged in the moisture absorbing and discharging shell, and a first opening and a second opening are formed in the moisture absorbing and discharging shell; the first opening and the second opening are used for exposing different parts of the moisture absorbing and discharging part respectively, the second driving part is fixed to the side, provided with the first opening, of the moisture absorbing and discharging shell and connected with the moisture absorbing and discharging part, the second driving part is used for driving the moisture absorbing and discharging part to rotate, and the second driving part deviates from the first opening in the radial direction; the shielding area of the second driving part to the first opening can be reduced, the drying airflow of the moisture absorption and exhaust part is prevented from being shielded, the moisture absorption and exhaust part has the larger air passing area and adsorption area, the air speed loss is reduced, and the clothes processing equipment is high in drying efficiency and low in energy consumption.

The invention provides a variable-speed variable-pitch wind generating set torque control method and system and a computer readable medium, and the method comprises the steps: designing a rolling optimization torque and variable pitch instruction based on model predictive control (MPC) and sliding mode surface constraint on the basis of constructing a discretization model comprising a pneumatic mechanism, a transmission chain and a variable pitch mechanism; the robustness is enhanced in combination with the self-adaptive sliding mode surface design, the control gain is dynamically adjusted through fuzzy logic, and the power tracking precision and the mechanical loss suppression are further considered; meanwhile, the delay is reduced with the assistance of wind speed prediction feed-forward compensation, the method has high robustness and adaptive capacity, wind speed fluctuation and parameter time variation can be effectively handled, equipment is protected while the power generation efficiency is guaranteed, and an efficient and reliable solution is provided for wind power generation control.

The invention relates to the technical field of electricity meters, and particularly discloses a relay and an electricity meter thereof, comprising a mounting plate: a clamping frame is fixedly mounted on the front surface of the mounting plate, sliding grooves are formed in the upper and lower ends of the clamping frame, sliding plates are slidably connected to the inner sides of the sliding grooves, and heat dissipation fins of a heat conduction aluminum plate are attached to electronic components in the electricity meter. The n-pentane heat-conducting medium in the liquid storage box is heated and vaporized, the heat is absorbed, the heat dissipation capability is improved, the heat pushes the air cylinder to open the heat dissipation window, the air velocity in the electric meter is improved, the heat dissipation is enhanced, the temperature is continuously increased, and the heat-conducting medium is further vaporized, so that the inner current-conducting plate and the outer current-conducting plate are attached; and after the temperature is reduced, the heat-conducting medium is condensed, the air cylinder shrinks to block the heat dissipation window, the heat dissipation fan does not need to be automatically triggered by a temperature sensor, the consumption is reduced, the stability is improved, the cost is reduced, and the protection and moisture-proof performance is improved by the blocking window when the heat dissipation device is not used.

The invention relates to an autonomous flight unmanned aerial vehicle interception system carrying an anti-riot capture net gun, and aims to realize intelligent identification and accurate interception of a high-dynamic target. The sensing module collects multi-source data such as images, laser radar, air pressure and wind speed and fuses the multi-source data to generate a flight space topological graph, and the recognition module extracts target position, speed and deformation information according to the graph and outputs target motion parameters and deformation characteristics. The control unit constructs a target trajectory prediction model and a risk level incidence matrix based on the information, and dynamically generates an interception path, a posture adjustment instruction and a capture trigger strategy. The propulsion assembly adjusts the three-dimensional pose of the aircraft in real time according to the pose adjustment instruction, has anti-interference stability and is suitable for flight in a complex environment. The launching assembly is integrated in the aircraft structure and completes anti-riot net gun launching and target capturing according to a triggering strategy. The system has autonomous perception, dynamic prediction and accurate execution capabilities, and is suitable for target interception and control tasks in complex scenes.

The invention discloses an aircraft environment monitoring method and system integrated with a semiconductor sensor. The method comprises the steps that S10, a semiconductor sensor array deployed on the surface of an aircraft is used for collecting temperature, humidity, air pressure, gas concentration and surface wind speed data in real time; s20, performing format standardization and error correction on the collected original environment data through a multi-channel data fusion engine, and constructing a unified input vector; s30, calculating a multi-dimensional fluctuation amplitude value of the input vector in the flight mission time window, and judging whether to trigger a high-frequency monitoring mode or not based on the value; s40, performing convolution fitting on the fluctuation amplitude value and a historical trend curve, and calculating a real-time environment disturbance index for updating a steady-state control parameter of the aircraft; s50, dynamically adjusting a control surface response strategy of the aircraft according to the disturbance index and synchronously generating a safety prompt level; and S60, uploading whole-process monitoring and response data to a ground monitoring center for intelligent optimization of model retraining and subsequent task planning.

A pitch change control method for a wind turbine, and a wind turbine. The pitch change control method comprises: on the basis of power data of a wind turbine, determining a corresponding blade roughness coefficient; on the basis of a preset pitch angle condition, determining a wind speed-pitch angle relation under the blade roughness coefficient; on the basis of the wind speed-pitch angle relation and wind speed data, determining a blade stall condition; and, in response to the wind turbine being in a blade stall state and according to the wind speed data and a preset pitch change control relation, controlling the wind turbine to change pitch. The control method can determine blade stall and perform a corresponding pitch change action while taking into account wind turbine power, so as to achieve a stall protection effect and improve the stability and reliability of the wind turbine.

The invention relates to the technical field of computer aided design, in particular to an energy-saving building design method based on digital simulation, which comprises the following steps: analyzing air velocity, temperature gradient, density and pressure distribution based on indoor aerodynamic parameters, identifying air vortex structure characteristics, and generating an energy-saving building environment data set. According to the method, aerodynamic characteristics in a building are accurately recognized, the vortex structure analysis capacity is improved, the air flowing path is optimized, aerodynamic parameters are combined, thermal resistance and heat conduction materials are matched, the building envelope layer is adjusted, heat flow transmission is guided, heat loss is reduced, the heat energy utilization rate is increased, and the spectral characteristics of the materials are adjusted according to illumination redundancy; the lighting efficiency is optimized, the heat load is reduced, outer wall heat transfer is optimized in combination with airflow characteristics, the ventilation rate is dynamically regulated and controlled, airflow short circuit is avoided, heat flow, illumination and ventilation parameters are integrated, precise optimization of building energy consumption is achieved, and the energy efficiency regulation and control level is improved.

The invention provides a real-time energy-saving control method and device for a central air conditioner and a readable storage medium. The method comprises the steps that real-time position information of personnel in an area where the central air conditioner acts is obtained; according to the real-time position information of the personnel, the number of the personnel in each sub-area in the area where the central air conditioner acts is determined, and each sub-area correspondingly has at least one central air conditioner air outlet; central air conditioner control parameters of the corresponding sub-areas are determined according to the number of people in each sub-area; and the movement information of the personnel is obtained in real time, and the central air conditioner control parameters of all the sub-areas are adjusted in real time based on the movement information of the personnel. An intelligent air conditioner control strategy is adopted, the air speed of the air conditioner is intelligently adjusted according to the position of the person and motion prediction, the dynamic control method can optimize energy consumption, and meanwhile the comfort degree of the environment is kept.