1774 results about "Air velocity" patented technology

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

The invention provides an 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 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 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 utility model provides an air supply device and an air conditioner, and the air supply device comprises fan blades which are rotatably arranged; the volute tongue structure comprises a volute tongue body and a first air guide plate connected with the volute tongue body, the first air guide plate is located at the end, close to the fan blades, of the volute tongue body, and the first air guide plate is movably connected with the volute tongue body so as to adjust the distance between the first air guide plate and the fan blades; the detection device is used for detecting the air supply speed at the air outlet of the air supply device; and the control device is in signal connection with the detection device, and the control device controls the first air guide plate to move according to the air supply speed so as to change the distance between the first air guide plate and the fan blades. According to the air supply device, the variable baffle is provided, the distance between the volute tongue and the fan blades can be changed according to different air speeds, and the technical problem that in an existing air conditioner in the prior art, due to the fact that the gap between the volute tongue and the fan blades is fixed, the air outlet efficiency of the air conditioner is low is solved.

The invention belongs to the technical field of unmanned aerial vehicle control, and discloses an unmanned aerial vehicle delivery method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the delivery task information of an unmanned aerial vehicle, controlling the unmanned aerial vehicle to fly to an air area to obtain the position information of a target identifier, and recognizing the motion state of the target identifier based on the position information, and when the target identifier is in a moving state, calculating to obtain a predicted moving track of the target identifier through a dynamic target prediction model, generating flight path information according to the environment information in combination with the position information or the predicted moving track, controlling the unmanned aerial vehicle to fly to a delivery position corresponding to the flight path information, and performing wind speed compensation based on the wind speed compensation information. Controlling the unmanned aerial vehicle to deliver the target material to a receiving area corresponding to the target identifier; and based on the environment information and the position information or the delivery position corresponding to the flight path information generated by the predicted movement track, the unmanned aerial vehicle is controlled to deliver, and the delivery efficiency of the unmanned aerial vehicle is improved.

The invention discloses a safe blocking distance calculation and automatic blocking control method for a carbon dioxide transportation pipeline. The method comprises the steps that S1, the leakage rate is divided into four grades, and the wind speed of a mine working face roadway is calculated; s2, according to the leakage rate and the wind speed, the relation between the carbon dioxide diffusion concentration and the diffusion distance is obtained; s3, determining an expression of a pipeline safety cut-off distance L; s4, performing concentration constraint on the expression of the L, and calculating a pipeline safety cut-off distance; s5, performing field experiment verification; and S6, confirming the calculated safe cut-off distance L as the final cut-off distance, and triggering the automatic closing action of the pipeline cut-off valve in the L range corresponding to the leakage point. Through scientific and systematic quantitative analysis and accurate matching of leakage point positions and protection requirements, the relation between the set distance of the block valve and the leakage rate of the volume of carbon dioxide in the roadway after leakage is determined, the block valve is directly triggered to be automatically closed on the basis of the safety block distance L obtained through calculation, and delay of manual implementation is avoided.

The invention relates to the technical field of tempered glass production, in particular to a tempered glass air grid quenching blowing control method which comprises the following steps: step 1, parameter acquisition: acquiring key parameters of tempered glass to be quenched and current state parameters of an air grid in real time through a sensor group; wherein the thickness sensor adopts a laser displacement sensor, is arranged in front of an air grid inlet, collects thickness data of different positions of glass, takes an average value as a thickness parameter d, and ensures that the data can reflect the overall thickness condition of the glass; according to the tempered glass air grid quenching air blowing control method, the air blowing pressure, the air speed, the air blowing angle and the air grid distance of the air grid can be dynamically adjusted by collecting parameters such as the thickness, the temperature distribution and the transmission speed of glass in real time and combining an intelligent control algorithm; accurate control over the quenching process of the tempered glass is achieved, and the stress distribution uniformity and flatness of the glass are improved.

The invention discloses a multi-branch industrial ventilation intelligent regulation and control system and method based on a PLC. According to the system, a closed-loop control network is formed by an infrared sensor, a wind speed sensor, a PLC (Programmable Logic Controller), an air door control cabinet, an electric valve, a frequency converter, a frequency conversion fan and an upper computer. The infrared sensor is responsible for monitoring the running state of each production line in real time. The wind speed sensor is used for detecting the wind speed in the wind pipe and verifying wind quantity balance. The PLC processes all sensor data and outputs a control instruction. On one hand, the opening degree of the electric valve is adjusted through the air door control cabinet, and on the other hand, the rotating speed of the fan is adjusted in real time through the frequency converter. The upper computer is used for system parameter monitoring, threshold setting and data interaction with the manufacturing execution system. According to the system, on-demand adjustment of multi-branch ventilation is achieved through intelligent closed-loop control, the problem of response lag of a traditional control mode is effectively solved, the dust removal efficiency and the energy utilization rate are remarkably improved, and safe and efficient operation of the industrial environment is guaranteed.

According to the mixed phase ice crystal particle ground generation and icing experiment device and method, a water spray head generates a water drop particle swarm, an ice crystal particle generation device generates an ice crystal particle swarm, the water drop particle swarm and the ice crystal particle swarm are mixed in a controllable proportion to form an ice-water mixed phase, and then a mixed phase icing experiment can be achieved. The experimental device comprises an air duct system, a water drop atomization generation system, an ice crystal particle generation system, an impact surface system and a measurement system, the air duct system comprises an axial flow fan, an air duct and an experiment cavity; the impact surface system comprises an impact surface assembly, the water drop atomization generation system and the ice crystal particle generation system are used for providing water drops and ice crystals respectively, the axial flow fan provides high-speed airflow, the water drops and the ice crystals are conveyed through the air duct to impact the impact surface assembly at a high speed, and an impact icing experiment of a mixed phase is achieved; the measuring system is used for measuring the air speed, temperature and humidity in the air duct and measuring the thickness and temperature of an ice layer of the impact surface assembly.

The invention discloses a loading lap joint device for cold chain transportation and sorting and a using method thereof, and relates to the technical field of cold chain transportation, the loading lap joint device comprises a drawing cold storage module, a cold storage module, a cold storage module, a cold storage module, a cold storage module, a cold storage module and a cold storage module, the drawing cold storage module is slidably mounted on a sliding groove in the bottom of a cold chain vehicle compartment, and a cold storage cavity is formed in the drawing cold storage module; the linkage defrosting mechanism comprises a frame type defrosting scraping plate arranged above the drawing cold storage module, a frost collecting groove is formed in the side edge of the cold storage cavity, and scraped frost water is guided into the frost collecting groove through the defrosting scraping plate; the lap joint interface module is arranged at the front end of the drawing cold storage module and comprises a conveying plate and a temperature adjusting air curtain which are movably hinged, and the temperature adjusting air curtain communicates with the cold storage cavity and the frost collecting groove through an air duct and releases cold air; the control unit is used for monitoring the temperature in the compartment and the platform position and adjusting the air speed of the air curtain to control the cold air circulation amount. The system not only can automatically remove the frost layer in the carriage and effectively reduce the environment temperature during loading, but also can be flexibly butted with a sorting line, so that energy conservation, high efficiency and temperature control guarantee of a cold chain loading link are realized.

The invention provides a safety device based on mine ventilation network simulation regulation and control and a use method thereof, and belongs to the technical field of underground safety equipments.The side portion of a frame body is provided with two regulation and control air channels, two transmission modules are arranged between the two regulation and control air channels, and a data acquisition and communication module capable of sliding and ascending and descending is clamped between the two transmission modules; fixing modules are installed on the frame body and the regulation and control air channel, the regulation and control air channel is divided into three sections, a dust removal module is installed in each section, and an air speed detector is arranged on the rear portion of each dust removal module. Comprehensive perception, intelligent regulation and control and convenient maintenance of the mine ventilation system are achieved, a digital twinborn model is accurately constructed through the mobile acquisition module, a data basis is provided for intelligent analysis, the controller can automatically optimize and adjust a fan, the response is fast, an original automatic landing maintenance mechanism is adopted, and the maintenance efficiency is improved. When the air duct is blocked, an alarm can be given and the air duct falls to the ground, so that the maintenance work does not need climbing operation, safety and high efficiency are realized, and the reliability and safety of the system are remarkably improved.

The invention relates to the technical field of carbon emission prediction, and discloses a multi-source data driven automobile carbon emission characteristic space-time prediction method and system, and the method comprises the steps: collecting multi-source data, carrying out the preprocessing, and constructing a multi-factor carbon emission data set; performing factor analysis on the data set, and extracting three principal component factors; a CNN-LSTM mixed deep learning model containing an attention mechanism is constructed to predict carbon emission; calculating carbon emission intensity of different spatial scales; based on a Gaussian diffusion theory, constructing a carbon emission diffusion model under a multi-wind-speed condition, and calibrating a diffusion coefficient by adopting measured data of an air monitoring station; modeling is carried out on the fused spatio-temporal data, and a carbon emission intensity prediction value of a grid scale in a specified time period in the future is output; performing visual display on the prediction result, and triggering early warning and generating a corresponding ecological driving control strategy based on the prediction value; the problem that an existing carbon emission prediction mode is low in prediction precision is solved.

The invention relates to a vehicle cabin temperature adjusting method and device, a vehicle, equipment and a storage medium, and relates to the technical field of vehicles. The method is applied to vehicle center control and comprises the steps that the current temperature of a vehicle cabin is obtained; determining the target temperature of the vehicle cabin and the target wind speed of the vehicle-mounted air conditioner at least according to the current temperature; wherein when the temperature of the vehicle cabin is the target temperature and the vehicle-mounted air conditioner works at the target wind speed, the environment in the vehicle cabin meets the human body comfort level standard, and the temperature adjustment power consumption of the air conditioner for adjusting the temperature of the vehicle cabin to the target temperature is the lowest; and the vehicle-mounted air conditioner is controlled to adjust the temperature of the vehicle cabin to the target temperature, and the vehicle-mounted air conditioner supplies air at the target air speed. Optimization of the power consumption of the air conditioner is further considered on the basis of optimizing the comfort degree, and energy waste caused by neglecting of the power consumption of the air conditioner is avoided.

The invention relates to a tilt rotorcraft semi-physical simulation system and method, and relates to the technical field of wind tunnel flight test semi-physical simulation. Based on the initialized system with the test parameters set, six-component balance load, wind speed and attitude data are collected in real time, and the collected key physical data are filtered and then sent to the flight simulation subsystem; the flight simulation subsystem carries out calculation based on a flight dynamics model, a rotor wing power model, a control instruction preprocessing model and the received data and outputs an actuation instruction; the actuator receives an actuation instruction and drives the aircraft model, and the airborne sensor feeds back new attitude data to form a control closed loop; the flight simulation subsystem sends state data to the 3D visual simulation module in real time to realize synchronization of control and visual; in this way, the stable state under the combination of different tilting angles and flight speeds is recorded, and a tilting transition corridor is obtained through fitting. Therefore, simulation precision, test safety and iteration efficiency are taken into consideration, and fused semi-physical simulation is formed.

The invention discloses an intelligent loading control system for a silo, and relates to the technical field of loading control, and the system comprises a data collection module which is used for collecting a sensor data flow; the disturbance compensation module is used for carrying out vibration coupling grade division on the basis of the sensor data flow and the vehicle vibration amplitude obtained through prediction of the vehicle vibration short-term prediction model, and formulating a corresponding coupling disturbance compensation instruction on the basis of the vibration coupling grade; the valve opening degree module is used for calculating the opening degree of a basic gate based on the set target loading weight and the collected real-time loading weight; based on the vibration coupling grade and the coupling disturbance compensation instruction, the basic gate opening degree is adjusted, and the initial adjustment opening degree is obtained; correcting the initial adjustment opening degree in combination with environment wind speed data collected in real time to obtain a corrected gate opening degree; the completion judgment module is used for closing the gate to complete loading when the real-time loading weight reaches the target value; material scattering and loss in the loading process can be reduced, and efficiency and stability are improved.

The invention relates to the field of wind driven generators, and particularly discloses a floating type vertical axis wind turbine multi-partition variable pitch control strategy which comprises the steps that S1, basic parameters and operating condition parameters of a unit are obtained; s2, establishing an aerodynamic model based on a double-disk multi-flow management theory and a superposition wind speed method; s3, measuring parameters through a sensor, and calculating a theoretical attack angle of the blade; s4, establishing a multi-partition pitch angle change function based on the theoretical attack angle; s5, constructing an NSGA-II multi-target optimization model, and taking maximization of an average power coefficient and minimization of a blade thrust standard deviation as targets; s6, substituting a function to obtain an optimal variable pitch control factor and an optimal pitch angle; and S7, the optimal pitch angle is converted into a variable pitch actuator instruction. The problems that an existing strategy is limited in partition, the wind direction influence is ignored, and optimal parameters for working condition adaptation are lacked are solved, the wind energy capture efficiency is improved, the load fluctuation is reduced, and the variable pitch control accuracy is improved.

The application provides a control method of an air separator, comprising the following steps: obtaining a material image on a feeding conveyor belt; determining a material volume flow and a material size according to the material image; determining a target opening size of an air separator adjusting valve according to the material volume flow; determining a target air speed level of the air separator according to the material size; determining a target air volume according to the target opening size of the air separator adjusting valve and the target air speed level; and controlling a fan rotating speed to work at a target rotating speed according to the target air volume. The method can realize work adjustment in the mode of the equipment, and achieves the purposes of accurate material separation and real-time processing capacity.

The invention relates to the technical field of tunnel ventilation, and particularly discloses an energy-saving air duct design method, system, equipment and medium for a tunnel by using natural wind as ventilation power, and the method comprises the following steps: determining the direction and speed of the natural wind in the tunnel and the quantity of air passing through the energy-saving air duct according to natural wind data detected under the perennial meteorological conditions of the tunnel; determining the arrangement position of the energy-saving air duct according to the arrangement positions and geological characteristics of the electrical equipment, the control equipment and the fan; according to the section shape, the arrangement form and the wall surface material of the energy-saving air duct, the on-way resistance coefficient and the local resistance coefficient of the energy-saving air duct are determined; calculating the total resistance of the air duct, and determining the economic section of the energy-saving air duct according to the principle that the total resistance of the air duct is minimum. According to the method, natural wind is used as ventilation power for ventilation and energy conservation, the relation between the economic section and the total resistance loss is combined, the balance between civil engineering cost and the natural wind utilization rate is established, and a ventilation scheme which is more economical and higher in efficiency is obtained.

The invention relates to the technical field of laboratory air ventilation, in particular to a ventilation cabinet airflow dynamic response optimization method based on digital twinning. The specific implementation process comprises the following steps: collecting a state vector sequence to predict a window motion track, identifying an operation intention and generating a virtual boundary condition; constructing a fluid mechanics digital twinborn model to simulate airflow dynamic characteristics, calculating and outputting airflow prediction data including a fluid resistance coefficient and turbulence intensity distribution, and generating an airflow optimization instruction for minimizing surface wind speed fluctuation by using a heuristic search algorithm; and monitoring a virtual-real deviation value, triggering a dynamic correction mechanism when a drift interval is exceeded, and carrying out online transfer learning on model parameters by utilizing the updated state vector sequence. According to the method, the risks of response lag and airflow oscillation are reduced through window trajectory prediction and digital twinborn simulation, meanwhile, errors caused by equipment aging are corrected through an online transfer learning mechanism, and the use precision and safety of long-term operation of the laboratory fume hood are ensured.

The embodiment of the invention provides a pneumatic conveying system and method for a cotton picker. According to the method, the motor rotating speed of a picking head motor is set in a controller, a picking head is controlled to collect cotton through the set motor rotating speed, the fan rotating speed of a fan is set through the controller according to the quality of the collected cotton, and the fan conveys generated air to a three-way pipe through a fan manifold; the three-way pipe distributes generated air into air output to the picking head and air output to the folding air cylinder, collected cotton is blown into the folding air cylinder through the air output to the picking head, cotton in the folding air cylinder is blown into the cotton collecting box through the air output to the folding air cylinder, and the air speed of the draught fan is dynamically adjusted through the quality of the collected cotton. And the risk that blockage and fire cannot be prevented in time is avoided.

The invention relates to the technical field of industrial control systems, and discloses an insulating mechanical arm self-adaptive control method for a hot-line work platform. The method comprises the following steps: acquiring joint angle, angular velocity, torque, temperature, humidity and wind speed information in real time; time-varying stiffness and damping parameters are identified on line based on a recursive least square method with a forgetting factor; constructing a nonlinear disturbance observer to estimate a composite disturbance torque and generate feed-forward compensation; dynamically adjusting the PID gain according to a pole assignment strategy; and fusing the feedback control torque, the model feed-forward torque and the disturbance compensation torque to generate a synthetic control instruction. According to the invention, through a dual adaptive mechanism, the trajectory tracking precision, interference resistance and dynamic stability of the mechanical arm under complex working conditions are improved.

The invention discloses multistage duct turbofan power generation equipment, and relates to the technical field of power generation equipment. The ducted shell comprises a first ducted shell body and a second ducted shell body which are coaxially arranged in a communicating mode. The flow guide assembly is arranged in the first duct shell and used for guiding external airflow into the second duct shell; the positioning assembly is arranged in the duct assembly; and the middle shaft is arranged in the duct assembly through a positioning assembly. Aiming at the pain points of structural fatigue, shaking and space waste caused by one-way torque conduction when a conventional wind driven generator is mounted on a mobile platform, a conformal integrated duct design is adopted, and a two-stage turbofan, a planetary reverse rotation mechanism and a permanent magnet generator are coaxially integrated, so that air flow shrinks in a trumpet-shaped duct to accelerate pre-swirl flow guide, and the flow guide efficiency is improved. The contra-rotating turbofan is further driven to do work synchronously, the torque is completely self-counteracted, high tip speed ratio operation can be achieved at the low wind speed, and efficient and zero-reaction-torque power generation in the narrow space of the mobile platform is achieved.

The invention provides an unmanned aerial vehicle draught fan wake flow observation method and system based on multi-source fusion positioning. The method comprises the steps that basic sensing data used for draught fan wake flow observation and local coordinate system parameters of a multi-source sensor are acquired; constructing a unified coordinate system based on the basic sensing data of the unmanned aerial vehicle; performing zero offset compensation on the original reading of the airspeed sensor in a static state to obtain a compensated airspeed value; based on the basic sensing data of the unmanned aerial vehicle and the compensated airspeed value, self-adaptive track control is carried out, boundary approximation processing is carried out on the fan wake flow area, and a wake flow loss field of the fan wake flow of the unmanned aerial vehicle is obtained; and calculating a wind speed difference according to the wake flow loss field. According to the method, the unmanned aerial vehicle carries various sensors, so that the key parameters of the wake flow field of the fan are accurately obtained, and reliable data support is provided for power prediction, operation optimization, layout design and the like of a wind power plant.

The invention discloses an intelligent air conditioner resource energy-saving control system, and relates to the technical field of air conditioner control, the intelligent air conditioner resource energy-saving control system comprises an acquisition assembly, a preprocessing assembly, an analysis calculation assembly and a control management assembly, the analysis and calculation assembly comprises a cooling load analysis module, an air supply temperature analysis module and an operation state analysis module. According to the method, dynamic factors such as personnel activity, equipment operation and commodity display density are integrated, so that the cold load calculation accuracy is improved; by introducing humidity, air speed and retention time to correct and balance the comfort level and energy conservation of air supply temperature adjustment and fusing equipment energy efficiency attenuation, fresh air utilization and electricity price factors, multi-system cooperative control of the compressor is achieved, finally conversion from experience to data driving is achieved, the comfort level is guaranteed, and the energy utilization efficiency is improved.

The invention relates to the technical field of culture devices, and discloses a fan regulation and control method for an incubator, which comprises the following steps: acquiring a temperature rise stage and an inner chamber temperature of the incubator and an environment temperature of an environment where the incubator is located; under the condition that the inner chamber temperature does not meet the first inner chamber temperature condition, according to the temperature rising stage of the incubator, a circulating fan is controlled to operate according to the temperature rising air speed; and after the inner chamber temperature meets the first inner chamber temperature condition, the temperature rising air speed of the circulating fan is adjusted according to the environment temperature. According to the method, the problem of back drop after temperature overshoot after the incubator is heated for the first time can be solved, the temperature fluctuation range of the temperature in the inner chamber is controlled, and the culture effect of cells / tissues in the incubator is improved. The invention further discloses a fan regulation and control device for the incubator, the incubator and a storage medium.

The invention relates to the technical field of induction cooker glass panel manufacturing, and discloses an induction cooker glass thermal stress simulation method based on machine learning. The method comprises the following steps: arranging a sensor group on a tempering cooling production line, continuously collecting operation parameters such as temperature, stress, thickness, air grid air speed, air pressure, nozzle angle and the like of a glass tape, and forming a time sequence data set; for each monitoring moment, a preliminary correlation degree between stress and operating parameters is analyzed, and calibration is performed by using a serial number identifier of a single glass panel and a unique stress response mode thereof to accurately quantify the influence of individual differences. And the non-thermal stress feature occurrence probability is introduced to screen out key monitoring moment data with small interference. A machine learning simulation model is constructed based on the pure data, thermal stress and non-thermal noise are separated, and the precision of the simulation model and the guiding value for actual production are improved.

The invention discloses a data center machine room temperature field equalization method based on a multi-scale model learning strategy. Fusing the equipment tolerance, the refrigeration system performance and the environmental thermodynamic boundary to construct a dynamic safe operation boundary; a machine room-cabinet-equipment multi-scale reverse model is constructed based on a physical guidance neural operator, and backstepping from observation of a temperature field to an optimal control strategy is realized; the method comprises the following steps: dynamically dividing a machine room into a plurality of logic control areas, deploying a reinforcement learning agent for each area, deciding and adjusting the air supply speed under the constraint of a safety boundary, and meanwhile, learning the minimum feasible air speed on line to optimize energy conservation; and when temperature abnormity which cannot be processed by local control is detected, generating and executing a global coordinated regulation and control instruction according to the global temperature field data and an analysis result of the multi-scale model. According to the method, on the premise of guaranteeing the safety of equipment, the temperature field of the data center is subjected to refined and self-adaptive balanced regulation and control, and the energy efficiency and the operation reliability of a refrigeration system are remarkably improved.

The invention relates to the technical field of sensors, in particular to a negative pressure ward multi-parameter dynamic sensing control monitoring method based on the Internet of Things, which comprises the following steps of: acquiring differential pressure personnel access control particle concentration through LoRa to construct a differential pressure time sequence, estimating slope turning by least square to extract disturbance parameters, and calculating a differential pressure time sequence; collecting the air speed of an air outlet in combination with disturbance parameters, calculating an air supply and exhaust included angle to identify an abnormal airflow region, extracting particle concentration data of the corresponding region, identifying a coverage interruption point by using a CUSUM algorithm, and obtaining an access control state and people flow density calculation difference to judge a multi-parameter abnormal monitoring point; and an abnormal attribution membership degree is calculated by associating the number intersection of the airflow anomaly and the multi-parameter anomaly point, an anomaly type is recognized again in combination with an attribution threshold value, and a dynamic monitoring result is output. According to the method, multi-source dynamic cooperative monitoring is carried out by extracting pressure difference slope turning identification trend disturbance, calculating air supply and exhaust angles to position an airflow abnormal area, recognizing coverage weak points in combination with particle concentration fluctuation, and fusing access control and people flow density difference values to mark risk points.

The invention relates to the technical field of coal mine ventilation control, and discloses a coal mine ventilation integrated control system based on intelligent scheduling. The system comprises an air door operation state monitoring module, a regional ventilation influence evaluation module and a global ventilation collaborative optimization module. The air door operation state monitoring module collects air door operation data such as air pressure, gas concentration, dust concentration, air speed and air door opening degree in real time through multi-source sensor arrays arranged on all air doors of a mine. The regional ventilation influence evaluation module performs abnormal influence quantitative evaluation on the independent ventilation region of the mine according to the real-time air door operation data to generate a regional influence identifier; and the global ventilation collaborative optimization module is combined with a mine topological structure, and performs global optimization calculation of a multi-air-door collaborative control strategy according to the regional influence identifier. The system achieves comprehensive perception, scientific evaluation and global cooperative control of the mine ventilation state, improves the operation efficiency of the ventilation system, guarantees the safety of underground operation of a coal mine, and is suitable for various coal mine ventilation scenes.