7312 results about "Airflow" patented technology

The invention discloses a coal mine ventilation system intelligent regulation and control method based on environmental perception, and relates to the technical field of coal mine ventilation system intelligent regulation and control, and the method comprises the following steps: collecting environmental data of different areas of a mine, including gas concentration, temperature and humidity, air velocity and oxygen content, and monitoring the operation state of ventilation equipment in real time; data of all the sensors are synchronously processed through the data fusion technology, and a unified environment sensing model is generated. According to the invention, through cooperative work of the expert system and deep learning, real-time monitoring and emergency plan execution under extreme working conditions are realized, and the response speed and decision accuracy are improved. A reinforcement learning algorithm is adopted to optimize ventilation line switching, the adaptive capacity and redundancy guarantee of the system are enhanced, and it is ensured that airflow is not interrupted at the critical moment. Through abnormality comparison of the knowledge base and the rule base, false alarm and misjudgment are reduced, system efficiency is improved, operation burden is relieved, and safety and stable operation of mine personnel are guaranteed to the maximum extent.

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 discloses a coal mine ventilation and heat reduction integrated control method based on intelligent scheduling, and relates to the technical field of coal mine ventilation and heat reduction control, and the method comprises the following steps: arranging a plurality of monitoring devices on a ventilation path and a standby ventilation path of a mine, and collecting temperature, humidity, gas concentration and wind speed and volume data; the central control system gathers monitoring data in real time, analyzes the ventilation condition in the air duct and identifies whether abnormal changes exist or not. Continuous ventilation is ensured through multi-path redundancy and dynamic switching, risks of gas explosion and the like are reduced, early warning is performed by means of the airflow simulation model, and safety of miners is guaranteed. And in combination with a reinforcement learning algorithm and a simulation model, quick response and self-adaptive adjustment are realized, air distribution is optimized, shutdown is avoided, and economic benefits are improved. Meanwhile, by intelligently planning a ventilation path and dynamically adjusting the fan load, energy consumption and maintenance cost are reduced, the service life of equipment is prolonged, and sustainable operation of a mine is promoted.

The invention relates to the technical field of power adapter temperature management, and discloses a gallium nitride power adapter temperature management system comprising a dynamic thermal model module used for accurately predicting the temperature change trend of each key component; the multi-level temperature monitoring network module is used for forming a complete temperature distribution diagram; the multi-device collaborative sensing module is used for generating a sensing result of the whole heat dissipation environment; the self-adaptive air duct structure module is used for optimizing an air flow path; the heat dissipation path module based on swarm intelligence is used for calculating and generating an optimal multi-device collaborative heat dissipation path by applying a swarm intelligence algorithm; the self-adaptive heat dissipation control strategy module is used for realizing multi-target balance optimization of temperature, noise and energy consumption; the problem that heat dissipation is difficult when multiple adapters are used in a centralized mode is solved, heat dissipation efficiency is improved, energy consumption is reduced, and noise is reduced.

The invention discloses a dynamic pressure control airflow crushing system for improving crushing efficiency, and relates to the technical field of crushing control, the system is characterized in that the pressure change in a crushing cavity is monitored in real time through a pressure sensor, and the real-time data of the pressure in the crushing process is obtained; according to the characteristics and crushing requirements of the materials, airflow crushing cycle analysis is carried out, and initial control parameters are obtained; in the crushing control process, crushing parameters are collected and fed back; performing difference analysis according to the monitoring control parameter and the crushing monitoring parameter by taking the crushing requirement as a target, and identifying a compensation requirement parameter; and dynamically adjusting the initial control parameters to obtain self-adaptive control parameters. The technical problems that in the prior art, due to the fact that accurate pressure and airflow parameters in a smashing cavity are difficult to obtain in real time, smashing parameters cannot be flexibly adjusted, the smashing efficiency is low, and particle size distribution of products is uneven are solved, and the technical effect of improving the smashing efficiency and the uniformity of discharged particles is achieved.

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 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 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 belongs to the technical field of wind tunnel tests, and discloses a test device and a test method for measuring aerodynamic characteristics of an aircraft by simulating air inlet flow. A ventilation model of the test device is installed on the upper portion of a tail boom support through a balance corrugated pipe and a ventilation supporting rod, a variable sideslip angle device is installed between the rear section of the tail boom support and an installation platform, a flowmeter, an ejector and other measuring devices are fixed to the installation platform, and the rear end of the installation platform is fixedly connected with a bent knife mechanism of a wind tunnel. The sideslip angle changing device changes the sideslip angle of the ventilation model. The test method comprises the steps of wind tunnel test preparation; performing a wind tunnel test; and processing test data. According to the invention, a supporting mode of'tail boom + lifting 'is adopted, so that perfect combination of a test system and a supporting system is realized; the hollow telescopic sleeve with the spherical hinges at the two ends is adopted, compensation of airflow pipeline length and angle changes caused by sideslip angle deflection is achieved, a solution is provided for accurate simulation of large continuous high-speed wind tunnel air inlet flow, and engineering practical value is achieved.

The invention discloses an energy-saving control method and system for drying equipment, relates to the technical field of energy saving, and aims to remarkably improve the drying efficiency and reduce the energy consumption by accurately controlling heat flow transfer and optimizing the heating process. Comprising the steps of firstly obtaining material parameters and establishing a heat flow simulation model; the power of a heating source is controlled through a multi-layer heat transfer adjusting mechanism, and it is ensured that each layer of material reaches the preset heat transfer condition in the whole drying process; dynamically adjusting heating source power and airflow parameters according to material surface temperature, humidity and airflow data detected in real time; optimizing a heat transfer efficiency function by using a genetic algorithm to improve heat distribution efficiency; the heating source power and the airflow direction are adjusted by monitoring the material moisture change in real time. The system comprises a data acquisition module, a heat flow simulation module, a feedback control module, a genetic algorithm optimization module, a moisture monitoring module and an increment updating module, the energy efficiency of the drying equipment is improved, and energy consumption is reduced.

The invention relates to the technical field of heat dissipation devices, in particular to a flow compensation drainage fan which comprises a fan body and a drainage device, and at least two jet flow holes are formed in the surface of the side, close to the drainage device, of the fan body; the drainage device is provided with an open drainage cavity which is defined by a top wall, a bottom wall and a side wall and enables airflow to be sprayed out in the set direction, the airflow generated by the fan body is sprayed out through the jet flow holes, surrounding air is entrained, and primary drainage is formed. The through-flow areas of the drainage channels are sequentially increased in the set direction, or the drainage holes are formed in the designated positions of the wall face of the drainage device, so that at least one time of secondary drainage can be generated when airflow flows in the open drainage cavity, and then the airflow finally sprayed out of the side wall flow outlet is substantially increased, so that the heat dissipation efficiency is improved.

The invention discloses an alpine region-based double-curvature arch dam aeration ice-melting anti-icing device, and relates to the technical field of anti-icing, the alpine region-based double-curvature arch dam aeration ice-melting anti-icing device comprises a double-curvature arch dam body, a lifting structure, an aeration anti-icing structure, a PLC controller, a temperature sensor and a liquid level sensor are arranged on the outer convex curved surface side of the double-curvature arch dam body, and the aeration anti-icing structure comprises a plurality of fourth connecting pipes; the bottoms of the outer sides of the fourth connecting pipes are fixedly connected with a plurality of pressure release valves, and the bottoms of the pressure release valves are fixedly connected with bubble generators, so that along with the rise of the internal air pressure of the fourth connecting pipes, the air flow bursts through the pressure release valves and then is discharged through the bubble generators, and a large number of bubbles are generated; and in the process that the bubbles move towards the water surface, the water surface is stirred, the water surface is prevented from being frozen, the anti-freezing effect on the upstream side of the hyperbolic arch dam body is comprehensively achieved, and damage to the structure of the upstream side of the hyperbolic arch dam body caused by freezing is reduced.

The invention provides a pneumatic down-the-hole hammer automatic control system based on airflow dynamic adjustment, comprising: a sensor module for collecting monitoring data; the actuator module is used for controlling the flow and pressure of compressed air and adjusting the propelling speed and pressure of the drill rod; the control and processing module is used for carrying out data processing and intelligent control by utilizing an embedded controller and a control algorithm; the airflow dynamic adjusting module is used for constructing a geological recognition model, recognizing rock hardness and structure changes and automatically adjusting impact energy and drilling efficiency; the fault prediction module is used for constructing a fault prediction model and carrying out fault prediction and alarm; the energy consumption optimization module is used for constructing an energy consumption model, presetting an optimization target, designing an optimization genetic algorithm and calculating an optimal airflow parameter; and the man-machine interaction module is used for data display, state alarm and parameter adjustment. The drilling process can be intelligently controlled, the drilling efficiency is improved, the equipment failure rate is reduced, energy can be saved, and the system adapts to complex geological conditions.

A high-speed booster fan module is provided, including an air duct, and an air inlet and an air outlet which are communicated to the air duct. In the present disclosure, the air flow achieves boosting and speeding up under cooperation between the air-driving fan blade group and the boosting mechanism; the air flow is collectively gathered by guidance of the flow guide member, thereby effectively improving the utilization rate of the air flow; and finally, the air flow is blown outwards after being secondarily boosted through the rectifying and boosting hood and subjected to turbulence removal, so that a wind speed and an air supply distance are greatly increased, an effect of silence and noise reduction is achieved.

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 aviation turboshaft engines, and provides a method for evaluating the influence of sand dust erosive wear on the performance of a turboshaft engine, which comprises the following steps: calculating the amount of sand dust sucked into the turboshaft engine; calculating and solving an air flow field in the air compressor channel and a movement track of sand dust particles by adopting computational fluid mechanics software; establishing a mathematical model of erosive wear of the air compressor blade of the turboshaft engine caused by sand dust; on the basis of the motion trail and the mathematical model, the blade profile of the blade after abrasion is obtained, the airflow field in the air compressor channel after abrasion is further calculated and solved, and the reduction amount of the efficiency of the air compressor after sand dust erosion abrasion is obtained; and on the basis of the reduction amount of the compressor efficiency, engine overall performance calculation software is adopted to calculate and evaluate the engine performance parameter change condition. According to the method, a mathematical model of compressor blade abrasion is constructed, the turbine shaft engine performance degradation evaluation method is provided, and quantitative analysis and evaluation of turbine shaft engine performance degradation in the sand and dust environment are achieved.

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.

A vehicle system includes a plurality of temperature sensors positioned in the vehicle and a control module in communication with the plurality of temperature sensors. The plurality of temperature sensors are configured to measure surface temperatures of objects in the vehicle. The control module is configured to receive the measured surface temperatures from the plurality of temperature sensors, determine whether any of the measured surface temperatures is greater than a defined threshold, and in response to any of the measured surface temperatures being greater than the defined threshold, transmit an alert signal to a user communication device indicative of the objects in the vehicle having the measured surface temperatures greater than the defined threshold. Other examples vehicle systems and methods for selectively controlling airflow in a vehicle and / or warning users of objects of a vehicle having potentially dangerous surface temperatures are also disclosed.

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 invention relates to the technical field of aero-engines, in particular to an aero-engine thermal barrier coating working condition simulation experiment system which comprises a high-temperature thermal cycle module, a high-speed airflow scouring module, a high-pressure loading module, an atmosphere control module and a data monitoring and collecting module. The high-temperature thermal cycle module is used for realizing rapid heating and cooling so as to simulate a thermal environment; the high-speed airflow scouring module is used for generating high-speed airflow to simulate gas scouring; the coating performance can be accurately evaluated through the multi-working-condition high-precision simulation capability, research and development personnel can be assisted to optimize components and structures, coating defects and weak points can be rapidly and accurately found through strict working condition simulation in the aspect of quality detection, the product quality is guaranteed, the defective rate is reduced, and the method has good application prospects from cost benefit consideration. The test frequency and the part replacement cost caused by the coating problem in engine research and development are reduced, the research and development period is shortened, the performance and reliability of the aero-engine are greatly improved, the development of the aerospace industry is powerfully promoted, and a solid foundation is laid for advanced engine research and development.

The invention discloses an anti-interference linear motor module motion control method, and relates to the technical field of linear motor module control. The method comprises the following steps: monitoring and analyzing multiple parameters of displacement error # imgabs0 #, acceleration fluctuation value # imgabs1 #, motor load capacity # imgabs2 #, motor working current I, motor real-time voltage value U, dragging force # imgabs3 # and guide rail friction force # imgabs4 # in the operation process of a motor module in real time, and interference of external environmental factors (such as airflow velocity # imgabs5 #, airflow pressure # imgabs6 #, deposition thickness # imgabs7 # and electrostatic effect coefficient # imgabs8 #); according to the method, the motion state of the motor module can be comprehensively evaluated, so that the deviation of the motion track is effectively reduced, and the motion stability of the motor module is remarkably improved. An interference model is established by collecting external environment interference parameters (airflow interference, deposition thickness, environment vibration and the like) and combining a neural network technology, a motion control strategy of a motor module can be dynamically adjusted, and different types of interference factors are compensated in real time.