3360 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 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 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 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 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 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 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 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.

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 an intelligent adjustment method for distributed air treatment equipment, and belongs to the technical field of air treatment equipment, and the method comprises the steps: inputting a personnel distribution image into an airflow field reconstruction model based on a graph neural network, outputting three-dimensional space flow field distribution data, calculating a personnel intensity index, and predicting an average thermal sensation index value; an air supply adjustment double-layer game model is established based on the data, the air supply angle and the air supply speed of an electric side supply nozzle and the air supply quantity of a lower air supply outlet are solved, an actuator is controlled to adjust air supply parameters, and the target air outlet temperature and the refrigerant flow of the heat exchanger are calculated through a thermodynamic entropy production minimization heat exchange optimization algorithm; and feedback correction is performed according to the actually predicted average thermal sensation index deviation to form closed-loop control, so that the technical problem that the distributed air treatment equipment is difficult to adjust the air supply parameters in real time according to the personnel distribution dynamic change so as to ensure the thermal comfort and the energy efficiency at the same time is solved.

The invention relates to a high-uniformity slit coating air knife system, a control method and a coating machine. The high-uniformity slit coating air knife system comprises an air knife lifting module which is mounted on the inner side of an air knife fixing frame and is used for lifting an air knife main body on the inner side; the air knife angle adjusting module is mounted on the inner side of the air knife lifting module and used for adjusting the angle of the air knife body on the inner side; a combined type air cavity structure is formed in the air knife main body; the air knife body is sequentially divided into three independent temperature control air areas in the left-right direction. The dynamic wind pressure adjusting system is used for feeding back and adjusting wind speed based on real-time film thickness monitoring data; an air pressure and temperature linked airflow temperature coupling control system; and the air speed and air pressure fine adjustment mechanisms are mounted on the air knife main body. The thickness uniformity of the coating is improved to + / -0.5 [mu] m; the drying energy consumption is reduced by 50% (compared with flash evaporation); the takt is increased from original 5 minutes to 30 seconds; the maximum 1.2 m breadth coating is supported, and the tail end air pressure difference is smaller than 1%.

The invention discloses a kitchen smoke exhaust space vector control and airflow organization collaborative optimization management method and system, and relates to the technical field of data processing. According to the method, kitchen space topology is constructed, multiple sensors are deployed to collect oil smoke concentration, temperature, wind speed and equipment operation data, and a structured environment tensor is generated through interpolation; solving a high-precision oil smoke motion vector field, generating a dynamic diffusion path, positioning an oil smoke core area, dynamically marking a personnel risk area, and synthesizing a thermal plume main path; an LSTM model is adopted to predict equipment load and fault probability, and a dynamic power consumption strategy is generated; constructing a multi-objective function of clearance rate, energy consumption and comfort, outputting a Pareto optimal solution set through a genetic algorithm, and dynamically selecting a control scheme according to working conditions; and finally, an instruction is converted into coordinated action of air exhaust and air supplement, energy consumption is reduced through PID real-time parameter adjustment and closed-loop correction, and meanwhile the effects of improving the oil smoke removal efficiency and accurately controlling the air speed of a personnel area within a comfortable range are achieved.

The invention discloses a water-cooling refrigeration station system optimization control method for a public building, and relates to the technical field of exhibition hall refrigeration control, and the method comprises the steps: carrying out the three-dimensional dynamic grid modeling of the whole exhibition hall space, monitoring the basic sensible heat and solar radiation conditions in the exhibition hall in real time, obtaining the heat load weight, and dividing the exhibition hall into different regions; according to the heat source distribution value of each exhibition hall partition, a physical field coupling thermal load prediction model is set, and thermal load prediction values of the exhibition hall partitions are predicted in combination with airflow, heat conduction and solar radiation heat absorption of the glass curtain walls; according to the thermal load threshold value, whether the next step is carried out or not is judged; and a rotational flow air port with an angle adjusting mechanism is installed beside the main machine room, and the air supply angle and the air speed are adjusted according to the thermal load predicted value of the exhibition hall partition. The problems that when a large-area French window or a glass curtain wall is directly irradiated by sunlight in summer, instantaneous large load increase is caused, and air supply dead corners and uneven layering are caused by a high-density showcase and a temporary partition are solved.

The invention relates to the technical field of unmanned aerial vehicle flight control, in particular to an unmanned aerial vehicle flight control and monitoring integrated system for power transmission tower inspection, and the system comprises a flight monitoring module which is used for obtaining the wind speed in the environment where an unmanned aerial vehicle is located, the rotating speed of each rotor wing of the unmanned aerial vehicle, and the inclination angle of the unmanned aerial vehicle body; the flight control module is used for acquiring the disturbance value of each rotary wing in each preset time period and the inclination fluctuation degree of the unmanned aerial vehicle body; disturbance factors of the positions of all the rotary wings at the current moment are obtained, and the power of brushless motors in all the rotary wings at the current moment is adjusted; the flight obstacle avoidance module is used for planning a flight path for avoiding obstacles; the tower monitoring module is used for monitoring damage information of the transmission tower; and the wireless communication module is used for transmitting the damage information to a ground station. By correcting the flight attitude of the unmanned aerial vehicle, the stability of the fuselage during flight of the unmanned aerial vehicle is improved, and then the inspection efficiency and quality of the transmission tower are improved.

The invention relates to an FOC control method based on an automobile air conditioner module motor without a Hall sensor, and belongs to the technical field of automobile electronics. The method comprises the following steps: injecting double-frequency voltage pulses into a stator in stages to position a rotor; collecting current through a sampling resistor and filtering to construct a rotor flux linkage distribution model, and presetting rectangular axis current in combination with noise reduction of a miniature acoustic sensor and air speed gear of an air conditioner; an extended Kalman filter observer is adopted to reversely deduce the load torque, and the torque change rate is monitored to trigger instantaneous load impact protection; the voltage space vector amplitude is corrected through voltage feed-forward compensation, a resistor-capacitor series filter circuit is additionally arranged, and phase dislocation pulse width modulation is adopted for resisting interference; and establishing a motor efficiency-rotating speed-load three-dimensional optimization method, starting dynamic flux-weakening control, and estimating the winding temperature through the stator resistance to adjust the flux-weakening depth. Accurate starting and dynamic load adaptation of the Hall-sensor-free motor are achieved, starting out-of-step and noise exceeding are avoided, and stable air volume of an automobile air conditioner and long-term reliable operation of the motor are guaranteed.

The invention discloses an intelligent control method and system for an automobile air conditioner, and relates to the technical field of intelligent sensing control of air conditioners. The intelligent control method and system for the automobile air conditioner comprise the steps that S1, multi-source data are collected and preprocessed, and a standardized data set is constructed; s2, multi-path temperature difference coupling characteristics are evaluated based on the standardized data set, and the cold and hot air mixing proportion and the air door opening degree are dynamically adjusted; s3, the adjustment adaptability of the multi-source temperature difference and the air outlet speed is analyzed, and opening and closing of an air door and the air supply flow are adjusted; s4, evaluating the thermal response coordination and execution stability of the channels, and adjusting the proportion and control priority of the cold and hot channels; and S5, air door adjustment and response consistency is monitored, the airflow adjustment track is corrected, and mismatch response is analyzed. The problems that most current automobile air conditioning systems cannot dynamically adjust the mixed airflow proportion according to the air inlet temperature change, the evaporator outlet temperature difference and the air blowing opening real-time temperature gradient, so that frequent manual intervention of a user is caused, and comfort and energy efficiency are affected are solved.

The invention discloses a semi-submersible fan-oscillating water column wave energy device integrated device with heaving plates. The semi-submersible fan-oscillating water column wave energy device integrated device comprises floating fan equipment, a central platform, buoys, hydraulic heaving plate connecting rods, an upper-layer permeable heaving plate, a lower-layer non-permeable heaving plate, a control system, a wind speed monitoring sensor and a laser wave surface displacement sensor. The floating fan equipment is arranged at the upper part of the central platform; the buoy is formed by connecting a permeable protective cover, a hydraulic connecting rod, an OWC device, an air pressure enhancing device, an internal supporting rod, a telescopic supporting plate and a pneumatic turbine. The upper-layer permeable heaving plate and the lower-layer non-permeable heaving plate are connected to the bottom of the buoy through the hydraulic heaving plate connecting rod; the control system is positioned in the lower horizontal plate of the central platform; the wind speed monitoring sensor and the laser wave surface displacement sensor are arranged on a stand column of fan equipment. The fan operation efficiency and the system reliability are improved, the whole life cycle cost is effectively reduced, and good durability and maintainability are achieved.

The invention discloses an air conditioner control method and device, a storage medium and an air conditioner, and relates to the technical field of air conditioners, the air conditioner comprises an air distribution device and a plurality of air outlets, air volume adjusting valves are arranged on communicating pipelines between the air distribution device and the air outlets correspondingly, and the multiple air outlets are formed in multiple areas correspondingly; the air conditioner control method comprises the steps that the air speed of each air outlet is received; according to the air speed of each air outlet, the opening degree of each air outlet is adjusted, so that the air speed of each air outlet is within a preset range; receiving the area environment temperature of each area, and calculating the temperature average value of the area environment temperatures of the plurality of areas; and according to the temperature difference between the area environment temperature of each area and the temperature average value, the valve opening degree of each air volume adjusting valve is adjusted, so that the temperature difference is located in a target temperature range. According to the invention, multi-area temperature-balanced air supply can be reliably realized, and the user experience is improved.

The invention relates to an urban low-altitude unmanned aerial vehicle flight path optimization method and system, and relates to the technical field of unmanned aerial vehicle path optimization, and the method comprises the steps: obtaining a three-dimensional building map of a target flight region, marking the positions of a flight starting point and a flight ending point, and determining an initial flight path; constructing a fast airflow simulator, and combining with the macroscopic airflow data to obtain microscopic airflow data; calculating the path cost for executing the initial flight path based on the microscopic airflow data at the current moment in combination with the performance parameters of the target model unmanned aerial vehicle; and performing iterative optimization on the initial flight path by taking the three-dimensional building map and the target model unmanned aerial vehicle as constraints and taking the lowest path cost as a target to obtain an optimal flight path. The problems that in traditional unmanned aerial vehicle path planning, the wind direction and the wind speed on the air route are difficult to pre-judge due to the urban low-altitude complex building environment, the path is planned only from the single distance dimension, the urban low-altitude airflow difference cannot be adapted, and the flight safety of the unmanned aerial vehicle is affected are solved.

The invention belongs to the technical field of tunnel catastrophe, and particularly relates to an intelligent feedback type tunnel catastrophe monitoring method, which comprises the following steps of: 1, deploying a tunnel monitoring system; a temperature sensor, a smoke sensor, an air velocity sensor and a gas concentration sensor are arranged in the tunnel; the temperature sensor is used for monitoring temperature changes in the tunnel. According to the intelligent feedback type tunnel catastrophe monitoring method, the safety and the emergency response capability of the tunnel are effectively improved through real-time data monitoring and analysis and an automatic control mechanism. Firstly, through temperature, smoke, gas concentration and air velocity sensors, the system can detect and identify potential catastrophe risks in a tunnel in time, such as fire, smoke diffusion and harmful gas leakage. Once an abnormality occurs, the system performs catastrophe prediction through an algorithm model, and performs accurate evaluation on a fire propagation path and smoke diffusion in combination with a simulation analysis result, thereby providing reliable data support for quick response.

The invention relates to the technical field of hoisting equipment intelligent control based on multi-sensor cooperation, and discloses a hoisting equipment intelligent control method based on multi-sensor cooperation. A control unit reads and stores parameters such as air density, windward projection area, wind load arm length, arm section rotational inertia, rated output force of a hydraulic cylinder, sampling period and the like, and static self-inspection and dynamic calibration are performed on a wind speed sensor, a rotary encoder and a pressure sensor respectively; multiple paths of wind speeds are collected in parallel during operation, fused wind speeds are obtained through weighted fusion after abnormities are removed, and the wind load torque is calculated and limited by combining the windward area and the force arm length; reading two continuous encoder angle differences, performing amplitude limiting, calculating an angular velocity and kinetic energy, performing adaptive adjustment according to kinetic energy deviation, and performing amplitude limiting on a damping coefficient to generate a damping torque; and the amplitude-limited wind load torque and damping torque are synthesized into total control torque, and after amplitude limiting, the total control torque is converted into amplitude-limiting hydraulic cylinder operation output force which is issued and executed by a control unit.

Various implementations include a low-drag smart tether system for measuring fluid speed and direction. The system includes a sleeve, a pressure sensor, and a tether. The sleeve has a longitudinal axis and an airfoil shaped cross-section as viewed in a plane perpendicular to the longitudinal axis. The sleeve has a leading edge. The sleeve defines a tether opening extending parallel to the longitudinal axis. The pressure sensor is disposed along a surface of the sleeve. The pressure sensor is configured to measure the pressure exerted on the pressure sensor by air moving over the surface of the sleeve. The tether extends through the tether opening defined by the sleeve. The tether has a tether longitudinal axis. The tether opening is positioned such that fluid flowing around the sleeve causes the sleeve to rotate about the tether longitudinal axis.

The invention provides a refrigeration house multi-fan intelligent cooperative defrosting control system and method. The refrigeration house multi-fan intelligent cooperative defrosting control system comprises an air-cooled condenser, a throttling valve, a compressor, a refrigerating chamber, a bypass valve, an air speed sensor, a temperature and humidity sensor, a temperature sensor, a pressure sensor, a flow meter, an air cooler tail end evaporator, data acquisition equipment, a central processing unit and a control output port. According to the cold storage scene that hot gas bypass defrosting is adopted, and one refrigerating unit is provided with a plurality of air coolers, the ratio (COP) of the accumulated refrigerating capacity to the total energy consumption in the operation period of each air cooler is calculated. And a comprehensive performance coefficient dynamic model of the air cooler is constructed by combining the temperature difference between the air supply and the air return, so that optimal energy efficiency of the air cooler and multi-fan defrosting control are realized. Compared with the prior art, the defrosting control logic is reconstructed from the perspective of the performance coefficient of the air cooler, the frosting condition of the surface of the evaporator at the tail end of the multiple fans of the refrigeration house can be accurately judged, it is ensured that the unit maintains high efficiency in the operation process, and development of the efficient and energy-saving control technology of a refrigeration house refrigerating system is facilitated.

The invention discloses a wind power generation device and a wind power generation control method.The wind power generation device comprises a supporting column, a sensor and a wind power generation mechanism, the wind power generation mechanism comprises a generator and a fan blade set, the wind power generation device further comprises a speed reduction mechanism, the speed reduction mechanism is electrically connected with a control system, and the sensor is electrically connected with the control system; when the sensor detects that the external wind speed reaches the first preset value, the control system controls the speed reduction mechanism to blow air to the fan blade set, speed reduction is conducted through blowing, a braking speed reduction structure does not need to be additionally installed between the blades and the generator, and therefore mechanical abrasion and maintenance cost are reduced; a complicated mechanical braking speed reduction structure is not arranged, so that the design of the wind driven generator is simpler, the weight is lighter, and the installation and the maintenance are more convenient; and mechanical parts are reduced, so that the reliability of the whole system is improved, potential fault points are reduced, and the service life of the wind driven generator is prolonged.

The invention relates to a tunnel ventilation system parameter optimization method based on neural network model driving, and the method comprises the steps: dividing a tunnel into a plurality of irregular grid nodes according to the three-dimensional geometrical characteristics, aerodynamic characteristics and pollutant distribution characteristics of the tunnel; constructing a nonlinear edge weight calculation function according to the spatial distribution data of the plurality of irregular grid nodes in combination with a pollutant diffusion coefficient, a real-time wind speed field and a spatial position relationship among the grid nodes, and generating an edge weight matrix representing interaction strength among the grid nodes; inputting the grid node information of the plurality of irregular grid nodes and the edge weight matrix into a space-time diagram neural network model to obtain multivariable space-time dynamic characteristics of the pollutants; according to the multivariable space-time dynamic characteristics, pollutant concentration overrun probabilities of the irregular grid nodes are determined; and according to the pollutant concentration overrun probability of the irregular grid nodes, ventilation regulation and control parameters of the tunnel ventilation system are optimized. The design of ventilation system parameters can be optimized.