4662 results about "Airflow" patented technology

The invention discloses a clean workshop production environment quality control method and system, and relates to the technical field of environment control, and the method comprises the steps: constructing a multi-layer sensing network, deploying temperature and humidity, particle concentration, pressure difference and VOC gas sensors, and carrying out the preprocessing data of each node through edge calculation; fusing the data based on a dynamic weight distribution algorithm, adjusting the weight according to the confidence score, and generating an environment quality comprehensive index; an LSTM pollution diffusion prediction model is established, a diffusion path is calculated in combination with airflow field simulation when pollution suddenly occurs, and an emergency response partition strategy is generated; fresh air system control parameters are optimized through reinforcement learning, a dynamic ventilation frequency adjusting model is established based on a real-time environment quality index and historical energy consumption data, and energy consumption is minimized through a Q-learning algorithm on the premise that cleanliness is guaranteed; a double-threshold early warning mechanism is set, local supercharging purification is started when a comprehensive index exceeds a first-level threshold, a second-level threshold is linked with adjacent areas to form a dynamic isolation barrier, and an intervention scheme effect is simulated through a digital twin system.

An engine for aeromechanical instability abatement includes a sensor configured to capture data from rotating blades of the engine system, a airflow effector device, and an engine controller. The engine controller is configured to control the airflow effector device according to a nominal schedule, detect, based on a signal from the sensor indicating a vibration amplitude of the rotating blades within a frequency band, an incipient instability condition, in response to the incipient instability condition being present, determine a modified control parameter for at least one of the airflow effector device, and control the airflow effector device according to the modified control parameter, deviating from the nominal schedule.

The invention relates to the technical field of wind power operation and maintenance technologies, and discloses a combined heat dissipation system of a fan, the system comprises a multi-source sensing module, a decision control module, a heat dissipation execution module and a safety early warning module, and by setting multi-mode cooperative control, when fan heat dissipation regulation and control are carried out, the heat dissipation of the fan can be controlled in a multi-mode cooperative mode; a dynamic matching mechanism of temperature field characteristics and heat dissipation modes is established, and air cooling, liquid cooling and phase change strengthening modes are automatically switched in real time according to the temperature rise rate and the heat distribution gradient, so that the system can accurately adapt to heat dissipation requirements under different working conditions, timely heat dissipation of a high-temperature core area is guaranteed, the heat dissipation response accuracy is improved, and the service life of the system is prolonged. By arranging the three-dimensional thermal field balancing system, the hot area distribution difference of the bearing, the winding and the power module is recognized in real time, the cooling liquid flow and the airflow guide angle are dynamically adjusted, the three-dimensional thermal unbalance phenomenon in a traditional heat dissipation mode is eliminated, and it is guaranteed that the temperature gradient of all areas in the motor is always kept within a safety threshold value.

The invention discloses an airport terminal fresh air energy-saving optimization control method based on passenger space-time distribution prediction, and relates to the technical field of intelligent energy saving, and the method comprises the following steps: S100, collecting the real-time position and moving speed of a passenger, constructing a passenger space-time distribution change model, and forming a prediction basis of air pressure dynamic adjustment; and S200, based on the passenger space-time distribution change model, calculating air pressure gradient distribution of each functional area of the terminal, identifying local positive pressure and adjacent negative pressure areas, establishing a micro pressure difference grading early warning index, and determining a ventilation adjustment demand. By dynamically predicting passenger distribution, adjusting air supply and static pressure in real time and combining pressure difference early warning, airflow monitoring and countercurrent sealing control, airflow order is ensured, pollution gas is prevented from flowing backwards, and air quality and comfort are guaranteed. Based on a control model and an energy-saving strategy library of full-process data training, intelligent self-adaptive adjustment of the fresh air system is achieved, ventilation safety and energy efficiency are improved, and terminal service experience and operation efficiency are optimized.

The invention relates to the technical field of industrial equipment temperature control, and discloses a temperature control system, which comprises a multi-source state sensing module for acquiring a power load, temperature, humidity and feedback temperature; the feed-forward prediction and analysis module is used for generating a feed-forward signal based on the load and the temperature; the closed-loop feedback and safety guarantee module is used for calculating a feedback signal according to the temperature deviation; the cooperative control decision module combines the feed-forward signal and the feedback signal to generate a fan instruction, and generates a baffle instruction for balancing heat dissipation and regeneration according to the feed-forward signal and humidity; the self-adaptive heat dissipation execution module is used for executing a fan instruction to generate cooling airflow; and the dynamic energy regeneration module executes a baffle instruction to distribute the waste gas flow direction. According to the method, the power load is introduced to serve as a prospective index, correction is conducted in combination with the environment temperature, a predictive heat dissipation control model is constructed, the system can start heat dissipation adjustment before a large amount of heat is generated, and therefore smooth and stable control over the equipment temperature is achieved.

A gas-liquid contactor for capturing carbon dioxide (CO2) from atmospheric air includes an inlet; an outlet; a gas-sorbent interface disposed between the inlet and the outlet; a liquid distribution system configured to flow a CO2 capture solution along the gas-sorbent interface; a fan configured to flow the atmospheric air along a flow path from: the inlet, along the gas-sorbent interface, and to the outlet, to contact the atmospheric air with the CO2 capture solution and absorb CO2 from the atmospheric air into the CO2 capture solution to form a CO2-lean gas stream; and an electrostatic drift eliminator within the flow path downstream of the gas-sorbent interface and upstream of the outlet. The CO2-lean gas stream includes aerosols of the CO2 capture solution. The electrostatic drift eliminator is configured to ionize at least some of the aerosols of the CO2 capture solution to form ionized aerosols and collect the ionized aerosols.

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 provides an intelligent control method and system for air purification equipment. According to the method, multi-dimensional environment data, including pollutant three-dimensional space data captured by air purification equipment, real-time airflow velocity and concentration distribution, in an open type pollution environment are obtained, a pollutant distribution thermodynamic diagram is generated, and the multi-dimensional data and the thermodynamic diagram are jointly coded to form a pollution concentration gradient map. Meanwhile, a historical control strategy data set is collected, cross-environment matching is carried out on the historical control strategy data set and the atlas, and diversion control characteristics associated with the pollutant diffusion direction are extracted; on the basis of the mapping relation between the characteristics and the atlas, a dynamic flow guide parameter set is determined, an intelligent control instruction of the air purification equipment is finally generated, and directional airflow disturbance and air distribution optimization control over the high-concentration area are achieved. According to the technical scheme, the intelligent control efficiency and precision of the air purification equipment can be improved.

The invention relates to the technical field of safety management, in particular to a mine safety production risk prevention and control method based on multi-source data fusion, and the method comprises the following steps: constructing a coupling parameter set through a micro-seismic sensor and a temperature and humidity sensor, detecting and extracting displacement points through Bayesian regression, and drawing a deformation diagram; determining a displacement area, counting an airflow velocity gradient, extracting a main fracture direction, generating an airflow path diagram, calculating a curvature change rate, positioning a sudden change area, extracting a thermal strain rate and an axial strain rate, generating a smooth curve, identifying a risk point, and expanding a boundary when the overlapping rate exceeds 60%, and redrawing a mine thermal-mechanical coupling risk map. According to the method, a multi-parameter analysis framework is constructed through micro-seismic and temperature and humidity data coupling to extract a deformation active band, difference statistics airflow velocity gradient is combined with a crack direction to correct an airflow path, a sudden change area is positioned based on a curvature change rate mean threshold, and thermal strain and axial strain are extracted to screen risk points. And constructing thermal variable amplitude mapping to represent the rock mass instability risk.

The invention provides a method and a system for actively monitoring, regulating and controlling a clean room, which are characterized in that environmental parameters in the clean room and spatial state information of a dynamic object are acquired through cooperation of a fixedly arranged sensor and a sensor carried by a mobile device, and the environmental parameters comprise airflow velocity, temperature and humidity, pressure difference, particulate matter concentration, illuminance and the like; the dynamic objects comprise positions of the personnel and the equipment and geometric models of the personnel and the equipment. And cleaning and fusing the collected data to generate a standardized parameter sequence with a time label, and constructing a three-dimensional dynamic environment model by combining a clean room structure and dynamic object information to realize grid mapping and visual management of environment parameters in the model. And on the basis of the model, an environment state change trend is predicted, risk grade evaluation is executed, a hierarchical regulation and control instruction is generated, closed-loop regulation and control and parameter adaptive adjustment of the clean room environment are finally realized, and the intelligent and refined level of clean room environment regulation and control is improved.

The invention relates to the technical field of facility management, in particular to a prediction-driven data center thermal resistance control system which comprises an airflow response acquisition module, a thermal hysteresis offset correction module, a heat flux trend extraction module, an air volume priority allocation module and an airflow execution verification module. According to the method, through extraction and sorting of air supply trigger time and thermosensitive node temperature response differences, the temperature control sensing precision is improved, the corrected time sequence is input into the model, the prediction accuracy is enhanced, and dynamic identification of the high-heat-load area and the early warning capability are enhanced in combination with the area temperature change trend and the heat dissipation capability upper limit; the distribution sequence is sorted according to the heat flux trend and the air volume resource relation, the air volume allocation efficiency and the matching degree are improved, the temperature change trend is compared after execution, the adjusting effect reliability is improved, a data closed loop with response recognition, trend extraction, resource sorting and feedback verification as the core is constructed in the whole process, and the initiative and stability of system heat management are enhanced.

The invention discloses an antifouling self-cleaning line column type porcelain insulator and a detection method thereof, and relates to the field of insulators, a connecting bin is provided with a positioning rotating member, two ends of a movable sleeve block are provided with one-way drawing units connected with a piston rod, and a gas storage bin is provided with a rotating exhaust member. By arranging a position adjusting rotating part, a rotating exhaust part and a one-way pulling unit, when wind blows a fan blade plate, a reversing bevel gear can drive a transmission shaft to rotate clockwise so as to enable a reciprocating lead screw to rotate clockwise, and when a transmission gear ring rotates anticlockwise, the reversing bevel gear drives the transmission shaft to rotate clockwise so as to enable the reciprocating lead screw to rotate anticlockwise so as to enable the reciprocating lead screw to rotate anticlockwise. Therefore, when the second pawl rotates, the reciprocating screw rod rotates clockwise all the time, one-way rotation of the reciprocating screw rod can be achieved, then the rotating exhaust part and the one-way pulling unit are matched, the surface of the insulator body can be cleaned through airflow, and the self-cleaning effect is achieved.

The present disclosure is generally related to aircraft having one or more unducted fan propulsors at locations within specific regions relative to an airfoil, such as a wing or horizontal stabilizer. More specifically, the specific regions are located where there is a relatively higher pressure air flow beneath the wings or above a horizontal stabilizer. That higher pressure air flow can be utilized to provide increased thrust from the unducted fan propulsor.

The invention provides a multivariable decoupling control method and system for an air inlet system of a high-altitude simulation cabin, and the method comprises the steps: firstly building a precombustion chamber cavity thermodynamic differential equation, and building a state equation in combination with a regulating valve first-order inertia model and an engine model; constructing a decoupling matrix by using a differential flatness theory, and converting a pressure and temperature coupling system into an independent control channel; monitoring a system state in real time by using an extended state observer, uniformly estimating internal and external disturbances as total disturbances, and generating a compensation signal; the model prediction controller performs rolling optimization on future time domain control quantity according to deviation between a set value and an actual value, generates an initial instruction in combination with the compensation signal, and converts the initial instruction into an independent valve control signal through a decoupling matrix; the high / low-temperature airflow mass flow is controlled through the opening degree of the adjusting valve, the engine model outputs actual parameters to form closed-loop feedback, and the controller updates the control quantity in each cycle. The multi-variable strong coupling, the dynamic disturbance and the model uncertainty are effectively overcome, the control precision and the parameter robustness are both achieved, and the complex working condition requirements are met.

The invention discloses a self-adaptive thermal management system for an energy storage container, and particularly relates to the technical field of thermal management of the energy storage container, which is characterized in that a joint probability model fusing multi-source data is constructed, Gaussian process regression and multi-precision CFD simulation fusion are introduced, and a chaotic feature extraction and anomaly recognition mechanism is combined, so that the self-adaptive thermal management of the energy storage container is realized. High-confidence dynamic modeling of complex airflow and temperature fields in the energy storage container and accurate recognition of abnormal areas are achieved, and the self-adaptive regulation and control capacity of a heat management system is improved; by collecting temperature and humidity data, constructing a condensation early warning mechanism and a micro-airflow intervention strategy and combining edge calculation and reinforcement learning, condensation risk real-time identification and control strategy optimization are achieved, the defects that in a traditional scheme, response to the problems of thermal runaway and condensation water accumulation is slow, and control lags are effectively overcome, and the method is suitable for large-scale popularization and application. And the safety and the reliability of the self-adaptive thermal management system of the energy storage container under the dynamic working condition are improved.

The present disclosure is generally related to aircraft having one or more unducted fan propulsors at locations within specific regions relative to an airfoil, such as a wing or horizontal stabilizer. More specifically, the specific regions are located where there is a relatively higher pressure air flow beneath the wings or above a horizontal stabilizer. That higher pressure air flow can be utilized to provide increased thrust from the unducted fan propulsor.

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 discloses a creep test system of a turbine rotor blade film hole simulation piece and a test method of the creep test system. Comprising a clamping assembly used for fixing a test piece, a loading assembly used for applying a load to the test piece, a strain measuring assembly used for measuring the strain rate of the test piece, a heating assembly used for covering the test piece to form a heating channel, and a cooling assembly used for manufacturing and conveying cooling airflow to flow through the interior of the test piece, the strain measurement assembly is used for measuring the external temperature of the test piece and the internal temperature of the test piece, the control assembly is connected with the strain measurement assembly, the heating assembly, the cooling assembly and the temperature measurement assembly, and the heating assembly is used for manufacturing and conveying high-temperature airflow to flow through the heating channel so as to heat the outside of the test piece to a first set temperature; the cooling assembly is used for cooling the interior of the test piece to a second set temperature, and the heating assembly and the cooling assembly are used for forming a dynamic convection environment around the test piece.

The invention relates to a control method for linkage of multi-source dust treatment and dust removal in a closed underground space. The control method is applied to the dust removal system. The method comprises the following steps: firstly, performing three-dimensional dynamic simulation on an airflow field in a closed underground space based on a computational fluid mechanics model to obtain flow field data output by the three-dimensional dynamic simulation; then, based on the flow field data, isolation and sealing control is performed on the source of dust in the underground space. And then the operation area is divided into a plurality of functional areas, and the air volume of the independent air draft pipeline system of each functional area is determined. Then, the dust is guided to be concentrated towards a suction area in the multiple functional areas through an air flow organizing device. Finally, multiple pieces of sensor data of the multiple functional areas are collected according to the sensors of all the functional areas, and big data analysis is carried out based on the multiple pieces of sensor data so as to control the dust removal system. According to the invention, dust in the closed underground space can be efficiently and reliably controlled and treated.

The present disclosure is generally related to aircraft having one or more unducted fan propulsors at locations within specific regions relative to an airfoil, such as a wing or horizontal stabilizer. More specifically, the specific regions are located where there is a relatively higher pressure air flow beneath the wings or above a horizontal stabilizer. That higher pressure air flow can be utilized to provide increased thrust from the unducted fan propulsor.

A gas-liquid contactor for capturing carbon dioxide from atmospheric air includes at least one inlet; at least one outlet spaced apart from the at least one inlet; a gas-sorbent interface disposed between the at least one inlet and the at least one outlet; a liquid distribution system configured to flow a CO2 capture solution along the gas-sorbent interface; at least one gas-circulating device configured to flow atmospheric air along a flow path to contact the atmospheric air with the CO2 capture solution and absorb CO2 from the atmospheric air into the CO2 capture solution to form a CO2-lean gas stream flowable through the at least one outlet, wherein the CO2-lean gas stream is deflected from a downward direction to an upward direction causing at least a portion of aerosolized particles in the CO2-lean gas stream to exit said CO2-lean gas stream upstream of the at least one outlet.

The invention relates to the technical field of constructional engineering, in particular to a tunnel construction safety monitoring and automatic spraying dust fall method, which comprises the following steps: acquiring sensing data of a construction area, the sensing data at least comprising dust concentration data, humidity data and airflow data at each detection position; according to the dust concentration data, determining a high dust concentration area and predicted dust concentration data of the high dust concentration area at a future moment; according to the dust concentration data, the predicted dust concentration data, the current position of a spraying device and the position of the high-dust-concentration area, the humidity data and the airflow data are combined, and spraying control logic is determined; according to the spraying control logic, a spraying device is controlled to spray water to the high-dust-concentration area for dust falling. By monitoring the sensing data of the construction area and processing the sensing data to determine the appropriate spraying control logic, the dust falling effect is effectively improved.

The invention relates to the technical field of environmental air detection, in particular to an environmental air quality detection device and a detection method thereof.The environmental air quality detection device comprises a base, and a case is fixedly mounted at the top of the base. Through the dual protection mechanism of the air inlet mechanism and the cleaning module, the air quality detection accuracy can be effectively guaranteed, in the specific detection period, induced draft fan blades rotate forwards to form negative pressure to suck air, an exhaust window assists in exhausting air, it is ensured that airflow is stable, and after a detection task is completed, an automatic cleaning program of the air inlet mechanism is started; the cleaning frame and the front cleaning group cooperatively operate to scrape dust on the inner walls of the induced draft fan blades and the air inlet pipe and prevent residual dust from falling off and being mixed into air in subsequent detection, meanwhile, the cleaning module continuously sprays, and under the action of countercurrent air driven by reverse rotation of the induced draft fan blades, cleaning liquid fully covers the air inlet pipe and the induced draft fan blades and dissolves dust and oil stains, so that secondary pollution is avoided; and air entering the case is ensured to be clean, so that real and reliable detection data is ensured.

The invention relates to the technical field of energy storage cabinet safety monitoring, in particular to an energy storage cabinet multi-parameter intelligent monitoring device based on an MEMS sensor array, a sensor array unit in the energy storage cabinet multi-parameter intelligent monitoring device comprises distributed MEMS temperature and vibration sensors, the temperature sensors are installed in a non-vertical mode, detection deviation caused by direct blowing of airflow is avoided, and the energy storage cabinet multi-parameter intelligent monitoring device based on the MEMS sensor array is obtained. The airflow disturbance correction unit corrects temperature original data in real time and eliminates interference of airflow on module body temperature detection by means of a heat dissipation airflow vector field dynamic model and a compensation algorithm, and the multi-parameter coupling analysis unit processes vibration and temperature signals in a double-channel mode, extracts tab loosening high-frequency micro-vibration characteristics and correlates the temperature rising rate. Early fault logic is triggered through two-stage judgment, the fault decision and output unit fuses the correction temperature, the coupling strength coefficient and the speed-up ratio, graded early warning is generated through a fault tree model and transmitted to an external monitoring system, and accurate monitoring of early faults of the energy storage cabinet is achieved.

Apparatuses and methods for drying an object are provided. An apparatus for drying an object may include a first airflow channel that has an airflow inlet and an airflow outlet. The apparatus may also include one or more radiation energy sources configured to provide thermal radiation toward the object. The apparatus may also include an airflow generating element configured to provide an airflow by effecting the airflow into the first airflow channel through the airflow inlet and direct a first portion of the airflow in the first airflow channel toward the airflow outlet. The apparatus may further include an airflow guide assembly configured to provide a second airflow channel through which a second portion of the airflow in the first airflow channel is guided to a target region. The target region abuts at least one of the one or more radiation energy sources.

The invention relates to the technical field of wafer test equipment, in particular to a heating aging test tool which comprises a storage rack and further comprises a wafer clamp placed on the storage rack. The detection assembly comprises a plurality of elastic probes located on one side of the storage rack and a heating disc; and the hot air guide assembly comprises a ventilation male head arranged on one side of the heating disc, an air guide pipe is arranged on the side, away from the ventilation male head, of the heat conduction cover, the air amount in the cavity is gradually decreased from near to far away from the air guide pipe, and the air flow speed is gradually decreased. A hot air flow guide assembly is arranged on a conveying frame, heat of a heating disc is guided to the position above a wafer through airflow through a heat conduction cover, the space above the wafer is divided into a plurality of cavities, the space size and the space shape of each cavity are set, the air flow speed and the contained hot air amount of each space are adjusted, and therefore the heat conduction efficiency of the wafer is improved. The influence of heat loss in the air flow process is reduced, so that the heating effects of all parts of the wafer are similar, and the detection effect is improved.

The invention discloses a wafer process link pollution source identification method based on FOUP inner interlayer AMC distribution, and relates to the technical field of pollution source identification, the method comprises the following steps: analyzing airflow disturbance and pollutant diffusion characteristics, formulating an external detector deployment strategy, and collecting pollutant concentration and associated equipment operation parameters in real time; establishing a space-time matrix of pollutant concentration, extracting gradient characteristics of pollutant concentration change by using wavelet transform, and obtaining initial position data of a pollution source in combination with operation parameters of associated equipment; constructing a space-time gridding input matrix, designing a double-branch deep learning model, generating a pollution source positioning probability graph, and obtaining position data of a pollution source; the contribution weight of each associated device to pollutant diffusion is evaluated, and a directional treatment strategy is formulated and executed. According to the invention, the position of the pollution source can be accurately positioned, and the accuracy and response speed of pollution source identification are improved.

The invention provides a bottle nitrogen charging process quality evaluation method applying artificial intelligence, and the method comprises the steps: obtaining airflow velocity distribution, vortex intensity and streamline form at a bottle opening of nitrogen charging equipment, carrying out the feature extraction and time sequence analysis, and generating an airflow feature data set; if the airflow characteristic stability is lower than a preset threshold value, predicting airflow velocity distribution, vortex intensity and a short-term change trend of a streamline form through a long-short-term memory network algorithm to obtain a future evolution state of the airflow characteristics; adjusting a nitrogen injection rate and an injection angle of nitrogen charging equipment according to the future evolution state of the airflow characteristics, and generating optimized nitrogen charging control parameters; and adjusting nitrogen injection parameters according to the optimized nitrogen charging control parameters, updating the operation state of the nitrogen charging equipment in real time, and generating an updated airflow characteristic data set.

The invention discloses an intelligent constant-humidity control FFU integrated system and a dust-free workshop application method thereof, and relates to the technical field of workshop application, and the method comprises an environment sensing unit which is used for collecting internal and external environment parameters and equipment operation states of a workshop in real time; the prediction unit is used for training and generating a model with a time sequence prediction capability by fusing historical production data and real-time environment fluctuation characteristics so as to output a temperature and humidity change trend and a key adjustment time window of each partition of the workshop in a future time period; the decision-making unit is used for dynamically selecting a target operation strategy from a process priority mode, an energy-saving mode and an emergency mode based on real-time production process requirements, an environment sensitivity threshold value and an energy consumption constraint condition; the parameter optimization unit is used for performing wind field parameter adjustment on the FFU unit under the target operation strategy, and minimizing system energy consumption while maintaining uniform distribution of temperature and humidity; adjustment comprises fan rotating speed gradient configuration, air outlet angle cooperative control and airflow circulation path optimization.

Apparatuses and methods for drying objects are provided. The apparatus can comprise a housing configured to provide an airflow channel having an airflow inlet and an airflow outlet, an airflow generating element configured to generate an airflow through the airflow channel, and one or more radiation energy sources configured to generate infrared radiation and direct the infrared radiation toward an exterior of the housing. A device controller can control the operation of the airflow generating element and the one or more radiation energy sources, and a power element controller in connection with the device controller can control the operation of the power element that can provide power at least to the radiation energy source and the airflow generating element.