5054 results about "Air volume" patented technology

The invention provides an automatic energy-saving control method and device for a ring cooling fan based on load feedback, relates to the field of ring cooling fans, and solves the technical problem of delay of regulation and control in an energy-saving working state. The method comprises the steps that working condition data are input into a preset powder box model, and a feed-forward air volume instruction is obtained through calculation; and inputting the working condition data into a state observer to obtain an optimal estimated temperature value. And the deviation between the optimal estimated temperature value and a preset temperature set value is calculated, and a feedback air volume compensation instruction is obtained through calculation of a feedback controller according to the deviation. And fusing the feed-forward air volume instruction and the feedback air volume compensation instruction to obtain a final air volume control instruction, and issuing the final air volume control instruction to a fan frequency converter for execution. And continuously monitoring the numerical value and the change trend of the feedback air volume compensation instruction, taking the feedback air volume compensation instruction as a prediction error signal of the powder box model, and adaptively adjusting key thermal parameters in the powder box model. The method is used in the control process of the ring cooling fan.

The invention relates to a dynamic regulation and control method and system for mine ventilation. The method comprises the following steps: acquiring multi-source data in a mine, and preprocessing the multi-source data to obtain a standardized data set; calculating the risk of each region in the mine based on the standardized data set to obtain a risk prediction matrix; based on the standardized data set and the risk prediction matrix, the air volume demand of each area is calculated, and an air volume demand table is obtained; based on the air volume demand table, an optimization proposition corresponding to the air volume demand is constructed and solved, and a solution set of the optimization proposition is obtained; mapping the solution set based on a preset rule to obtain a feasible allocation scheme; and based on the feasible allocation scheme, generating an equipment cooperation instruction, and obtaining a security instruction set. According to the method, dynamic factors can be considered, the air volume is dynamically adjusted, multi-fan cooperation is achieved, and the effects of real-time sensing and autonomous dynamic decision making of mine ventilation are achieved.

The invention discloses a gutter channel reinforcing structure and a vehicle. The gutter channel reinforcing structure is installed in a space formed by the front windshield lower cross beam, the front coaming and the gutter channel. The gutter channel reinforcing structure comprises a three-dimensional frame structure, and the three-dimensional frame structure extends in the X direction and the Y direction to form a spatial three-dimensional structure so as to support the space formed by the front windshield lower cross beam, the front coaming and the gutter channel from different directions, strengthen the structural strength of the air conditioner air inlet and improve the NVH condition. The three-dimensional frame structure is provided with the first opening penetrating in the X direction, the first opening corresponds to the air conditioner air inlet in the dash panel in position, the first opening penetrating in the X direction is formed through the holes of the three-dimensional frame structure, external air can smoothly enter the air conditioner air inlet from the first opening, and the air inlet amount of an air conditioner is guaranteed. In addition, the three-dimensional frame structure is based on a frame type structure of the three-dimensional frame structure, the three-dimensional frame structure can collapse inwards when collision occurs, and the passenger protection performance is improved.

The invention discloses a gradient optimization control method for an aeration system of a sewage plant. The gradient optimization control method comprises the following steps: S1, acquiring key monitoring multi-source data of the aeration system of the sewage plant in real time through an online sensor; s2, setting a security threshold value of each monitoring data to form a security constraint condition; s3, taking unit nitrogen removal energy consumption minimization as an optimization target, and constructing a comprehensive loss function fusing an energy consumption item and a water quality deviation item; s4, iteratively updating the air volume of the aeration system by adopting a self-adaptive gradient algorithm; s5, the optimized and updated air volume is issued to the aeration equipment to be executed, and water quality data and energy consumption data after execution are collected in real time, a control effect is calculated, an award signal is generated, and the award signal serves as feedback to be input into an optimization module; and S6, dynamically adjusting key parameters including the learning rate and the gradient threshold according to a feedback result. According to the invention, the energy consumption can be effectively reduced and the control precision can be improved while ensuring that the effluent stably reaches the standard, and the stable operation of the aeration system of the sewage plant under a complex working condition is ensured.

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 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.

A handheld fan, comprising an air supply part and a handheld part, wherein the air supply part comprises a fan housing and a fan assembly arranged in the fan housing; the fan housing comprises a cover body, an air outlet accessory arranged at a front end of the cover body, a rear air inlet accessory arranged at a rear end of the cover body, and side air inlet accessories arranged at both sides of the cover body; the fan assembly is mounted in the cover body, and its air outlet is connected to the air outlet accessory. The invention has a reasonable structure, beautiful shape, high ornamental value, compact structure, easy operation, and multi-faceted air inlet, which provides sufficient air volume for the high-speed running fan, so that the handheld fan maintains high-performance operation and improves the user experience.

According to the intelligent monitoring and regulating method of the pneumatic conveying system, through real-time data monitoring and intelligent regulating of the pneumatic conveying system, online dynamic optimization of energy consumption in the pneumatic conveying process is achieved, and it is ensured that the pneumatic conveying system stably operates in the lowest energy consumption interval; through real-time monitoring and real-time prediction of the pneumatic conveying system, active early warning is performed before the pneumatic conveying pipeline has abnormal working conditions (such as pipe blockage and sudden pressure drop change), and meanwhile, the pneumatic conveying system improves the air volume or controls a rotary feeding valve of the pipeline to reduce the feeding amount, so that the pneumatic conveying pipeline is prevented from being blocked; the stability and safety continuity of the pneumatic conveying system are guaranteed; the system is low in model construction cost, high in prediction and judgment speed, free of dependence on a pre-training model, wide in material transportation range and capable of conducting mode switching adjustment according to the characteristics of different seasonal climates, the model weight can be updated in real time during operation, the generalization ability of the monitoring regulation and control method is remarkably improved, and adaptability is high.

The invention discloses a condensation-free efficient heat exchange control method and system for a full-premixing water heater, and the method comprises the steps: collecting the multi-source information, such as air inlet temperature, humidity, gas flow, flue gas oxygen concentration and wall temperature, in real time, calculating a predicted dew point based on a dynamic dew point prediction model, and setting a dynamic safety boundary; the condensation risk is judged by comparing the wall temperature with the safety boundary, and active intervention is carried out in a staged cooperation mode that fuel gas and air volume are continuously adjusted firstly and then a partial combustion zone sectioning valve is rapidly turned off; the system comprises a main controller, a mesh-shaped infrared radiation burner, a sectional valve assembly, a gas proportional valve, a frequency conversion fan and related sensors. According to the invention, the system runs close to the condensation boundary through intelligent control, and the advantage of high operation heat efficiency is realized on the premise of ensuring high reliability.

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

The invention relates to a fully mechanized coal mining face respirable dust concentration management limit value determination method, belongs to the technical field of coal mine dust treatment, and is used for solving the problem of inaccurate respirable dust control caused by the fact that a traditional fixed threshold value cannot adapt to a multi-dust-source coupling working condition. The method comprises the following steps: acquiring dust falling efficiency data of multiple dustproof measures, establishing a mathematical model of dustproof parameters and dust concentration, calculating a dynamic management limit value by combining an industrial standard threshold value, and performing self-adaptive adjustment by monitoring and triggering parameters such as spraying pressure and dust removal air volume in real time. Compared with a traditional method, the dynamic limit value enables the respirable dust concentration to be reduced by 40% or above, the multi-measure cooperative dust falling efficiency is improved to 85%, water is saved by 15%-20%, the equipment energy consumption is reduced by 10%, and intelligent and precise dust treatment is achieved.

The invention provides a conference room environment regulation and control method and system, a medium and a product. In the method, an environment regulation and control system firstly determines a target temperature according to an external environment temperature, and then carries out temperature regulation and control in advance in combination with reservation time. When the conference is carried out, the environment regulation and control system carries out targeted monitoring on the temperature of different areas by dividing the air outlet area and the non-air outlet area in the conference room, and it is ensured that the temperature imbalance phenomenon is found in time. When the regional temperature difference between the air outlet region and the non-air outlet region reaches a temperature difference threshold value, the environment regulation and control system determines the regulation sequence according to the number of people in the region and the regional temperature difference, and it is ensured that resources are preferentially used for the region with the larger influence. And finally, the environment regulation and control system calculates the air volume and the air direction by combining the space parameters of the to-be-regulated area and regulates and controls the air volume and the air direction in sequence, so that the temperature of each area synergistically approaches a target value. According to the method, the temperature difference of different positions of the conference room is effectively relieved, and the balance and comfort of the whole environment are improved.

The invention relates to the technical field of high polymer material processing, in particular to a blow molding method of a composite toughened film, which comprises the following steps: step 1, preheating matrix resin in preheating equipment; 2, feeding the mixed raw materials into a double-screw extruder for melt blending; 3, feeding the dried composite particles into a hopper of a single-screw blow molding extruder; 4, adjusting the air volume and the air pressure of the cooling system according to the monitoring result; and 5, the formed film pipe is folded into a flat shape through a guide component and led out through a traction roller, the traction speed and the extrusion speed are coordinated to control the traction ratio, corona treatment is conducted on the surface of the thin film to improve the surface energy, then rolling tension is controlled for rolling, and the rolling tension is controlled according to the elasticity and thickness of the thin film to prevent excessive stretching or loosening. The uniform distribution and proper compatibility of the composite toughening component improve the toughness of the film, and maintain the strength and barrier property of the film.

The invention discloses a sewage treatment aeration air volume control method, device and equipment and a storage medium, and relates to the technical field of sewage treatment.The sewage treatment aeration air volume control method comprises the steps that historical and latest real-time data are obtained and preprocessed to form historical effective sample data and latest real-time sample data, an LSTM network is used for encoding to form a feature encoding vector, and the feature encoding vector is used for encoding the historical effective sample data and the latest real-time sample data; and performing fusion with latest real-time sample data, generating and optimizing by utilizing an Actor-Critic model to form an optimized valve opening adjustment amount and an optimized adjustment dead zone threshold value of each branch, and further determining a valve adjustment action and executing the valve adjustment action through an actuator. The aeration air volume demand of the system is dynamically predicted through the LSTM network and the Actor-Critic model, a control strategy is generated and continuously optimized, meanwhile, a dead zone is determined and adjusted by optimizing an adjustment dead zone threshold value, the dead zone range is continuously and dynamically optimized, the action frequency and mechanical abrasion are reduced, and the operation and maintenance cost can be reduced under long-period use.

The invention discloses a quick broiler fresh-locking refrigeration house which comprises a refrigeration house body, an in-house opening and closing door is installed on the inner wall of the refrigeration house body, an electric controller is installed on the same side of the in-house opening and closing door, an even number of driving motors are installed on the refrigeration house body, an out-house opening and closing door is installed on the outer wall of the refrigeration house body, and an even number of outdoor condensation units are installed on the top of the refrigeration house body. An in-storage bin is arranged in the refrigeration storage, inner supporting columns are fixed to the four corners of the in-storage bin, and an even number of cold supply assemblies are installed on the top of the in-storage bin. After cold air is input into the conveying air guide cylinder, the cold air is divided into two parts through the flow dividing inner cavity, enters the independent frame inner cavity and is guided to the connecting cover opening through the cavity wall air guide block; meanwhile, the plate side temperature sensor feeds back a temperature signal to the electric controller, the electric controller is triggered to adjust the first electric control motor and the second electric control motor, the air volume and the air outlet angle are changed, and air outlet of the duckbilled covers with the shutters at different heights is matched with the temperature of products placed on the movable goods shelf; and the condition of freshness locking failure caused by slow cooling and large temperature difference of broiler chickens on middle and lower shelves is avoided.

The safety-level high-precision air volume control valve comprises a valve body assembly, the valve body assembly comprises a frame, blades, a rotating shaft and a driving structure, the frame is hollow to form a cavity, openings are formed in the two sides of the cavity in the first direction respectively, the rotating shaft extends in the second direction, the blades are connected into the cavity through the rotating shaft, and the driving structure is in driving connection with the rotating shaft; the second direction is perpendicular to the first direction; the flow measuring assembly comprises a flow measuring frame and a flow measuring element, the flow measuring frame is hollow to form a flow measuring cavity, the flow measuring frame is connected with one side face of the frame, the flow measuring cavity is communicated with the cavity, the flow measuring element is arranged in the flow measuring cavity and used for obtaining airflow parameter information of the flow measuring cavity, and the flow measuring element is electrically connected with the driving structure; the driving structure is configured to control the rotating shaft to drive the blades to rotate according to airflow parameter information acquired by the flow measuring element. High-precision control and adjustment of the air volume can be achieved.

The invention discloses a coal mine intelligent ventilation optimization regulation and control method and system based on digital twinning, and belongs to the technical field of coal mine safety ventilation. The method comprises the following steps: determining a three-dimensional space topological relation of a coal mine ventilation system based on mine structure data, and mapping real-time ventilation state data to corresponding roadway nodes and branch paths to obtain a twin ventilation state; and performing simulation calculation based on a three-dimensional space topological relation to obtain a theoretical ventilation distribution state, comparing the twin ventilation state with the theoretical ventilation distribution state, determining an air volume deviation region and a gas concentration abnormal region, and obtaining ventilation deviation characteristics to perform virtual rehearsal. Determining an adjustment scheme meeting the ventilation demand constraint and the energy consumption constraint, and generating an optimization regulation and control instruction; and the entity ventilation facility is controlled to execute the adjustment action, and the three-dimensional space topological relation is updated through feedback data. Accurate regulation and dynamic optimization of the ventilation system are achieved, and the safety and the energy-saving effect of coal mine ventilation are improved.

The invention relates to the technical field of battery temperature control, in particular to a temperature control method and device for a capacity grading system, a medium and equipment, and the method comprises the steps: S1, obtaining real-time data in the charging and discharging process of a battery module; s2, constructing a dynamic thermal model based on a neural network, preprocessing the real-time data, taking the preprocessed real-time data as input, and predicting a temperature prediction value after the next three seconds through the dynamic thermal model; s3, the current working mode of the formation and capacity grading system is judged based on the temperature predicted value, a PID control signal is generated, and meanwhile an optimal air volume scheme is calculated through an alternating direction multiplier method; and S4, the PID control signal is output to a thermoelectric refrigerating unit for segmented adjustment of the refrigerating power, meanwhile, the rotating speed of a plurality of independent fans is adjusted according to the optimal air volume scheme, and the temperature fluctuation range is reduced while the dynamic response speed and the energy efficiency ratio are increased.

The invention discloses an industrial equipment linkage control system based on dynamic time sequence reconstruction, relates to the technical field of kiln linkage control, solves the technical problems that a multi-system collaborative dynamic time sequence reconstruction capability is lacked and chain reaction caused by disturbance coupling is difficult to solve, and provides an industrial equipment linkage control system based on dynamic time sequence reconstruction by distinguishing humidity abnormal levels and customizing a heating strategy. The method ensures that heat release is completely matched with a wet material transmission rhythm, improves product drying uniformity, accurately calculates retention time and rotation speed according to a kiln type, realizes a'moisture evaporation demand-rotation speed-retention time 'closed loop, reduces energy consumption, integrates real-time material parameters, waste heat recovery and environment heat dissipation, accurately calculates a heat gap, and performs graded response, so that the energy consumption is reduced, and the energy consumption is reduced. And finally, a cooling air volume-pressure correlation model and an induced draft fan compensation-pressure repair model are established, accurate pressure compensation during cooling strengthening is achieved, and the stability of the microenvironment in the kiln is improved.

The invention discloses an ultra-long tunnel small and large fan air compression and supply coordinated ventilation method, and relates to the technical field of tunnel ventilation, and the method comprises the following steps: collecting tunnel environment parameters in real time, and generating a time-space associated environment parameter data set; a main and auxiliary fan performance attenuation model is combined to establish an air quantity coordination intelligent model, and air quantity dynamic distribution according to needs is achieved; frequency conversion air pressure adjustment, partition air volume supplement and air valve intelligent opening degree adjustment operation are executed; and a multi-parameter fusion deviation evaluation model is constructed, the spatial distribution deviation of the adjusted environmental parameters and target parameters is monitored in real time, fan control parameters are dynamically corrected based on a reinforcement learning algorithm, a self-adaptive ventilation adjustment closed loop is formed, and rapid air volume redistribution under the emergency working condition is carried out. According to the method, dynamic data processing, process adaptive air volume calculation, distance perception distribution, partition regulation and control, reinforcement learning optimization and a multi-dimensional emergency response technology are fused, and double improvement of dynamic cooperation of main and auxiliary fans of the ultra-long tunnel, ventilation energy efficiency and construction safety is achieved.

The utility model provides an auxiliary dust removal mechanism for a pipeline, which comprises an air knife, a plurality of air cabins which are annularly distributed are arranged in the air knife, and each air cabin is provided with an air inlet end and an air outlet end; the air adjusting piece is movably connected with the air knife and is used for adjusting the opening degree of the air outlet end; and the advancing rollers are distributed on the outer wall of the air knife and can roll in the axial direction of the air knife. According to the pipeline auxiliary dust removal mechanism and the using method thereof, dead-corner-free dust removal in the telescopic corrugated pipeline can be achieved, the air volume, the air speed and the outer contour size can be flexibly adjusted, the pipeline auxiliary dust removal mechanism adapts to different dust removal working conditions, the dust removal efficiency and cleanliness are greatly improved, and meanwhile the labor intensity of manual dust removal is reduced.

The invention discloses a fresh air system energy-saving regulation and control method based on communication base station load linkage. The method comprises the steps that load parameters and indoor and outdoor environment parameters of a communication base station are obtained in real time; based on the load parameters and the indoor and outdoor environment parameters, a target operation mode of the fresh air system is determined through a preset parameter threshold value; according to the target operation mode, the target air volume is calculated based on the load parameters and the indoor and outdoor environment parameters; based on the target air volume, control operation parameters of the fresh air system are generated; and in the operation process of the fresh air system, operation data of the fresh air system are recorded in real time, and the target air volume is subjected to self-adaptive dynamic adjustment according to the operation data of the fresh air system. According to the method, the energy-saving effect and the operation stability of the fresh air system can be improved by realizing multi-dimensional cooperative regulation and control based on the base station load and the environment parameters.

The invention provides an aluminum melting furnace door flue gas automatic control dust removal air volume system, and relates to the field of aluminum melting furnace flue gas purification treatment, and the system comprises a data acquisition and processing unit which is used for acquiring flue gas state data and furnace door state images at an aluminum melting furnace door, and identifying the current flue gas state grade and furnace door opening and closing degree of the aluminum melting furnace; determining a target concentration control threshold value; the air volume distribution unit is used for generating the total air volume adjustment amount by using an increment inversion and gain scheduling algorithm based on the flue gas state grade and the target concentration control threshold value, and performing air volume distribution processing on the multiple execution mechanisms by using a redistribution scaling pseudo-inverse method; and the air volume control unit is used for generating control instructions of the multiple execution mechanisms based on the air volume distribution result, sequentially transmitting the control instructions to all the execution mechanisms and executing air volume control. According to the invention, through combination of deep learning network identification and dynamic adjustment, real-time matching of the dedusting air volume and the flue gas volume is realized, and the operation cost of an enterprise is remarkably reduced.

The invention provides an energy consumption optimization method and system for mine ventilation, relates to the technical field of mine ventilation, and solves the technical problems that an existing mine ventilation system is too high in energy consumption and uneven in air distribution. The method comprises the following steps: acquiring environment data in real time through a sensor network; simulating air volume distribution in a mine by using a digital twinborn model, and inputting the environmental data into a space-time diagram convolutional network to predict a ventilation demand; performing global optimization by adopting a dynamic weight multi-objective optimization algorithm according to the air volume distribution and the ventilation demand, and generating a multi-fan cooperative control instruction; the control instruction is issued to a frequency converter and a PLC, fan rotating speed adjustment is executed, and a fault diagnosis mechanism is integrated to achieve redundancy switching; and feeding back the execution effect to the digital twinborn model for iterative optimization. The method is used for ventilation system design, operation and maintenance links in various underground mineral exploitation scenes.

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.

The invention relates to a variable dew point control method of an all-air air conditioning system, belongs to the technical field of heating ventilation air conditioners, and solves the technical problems of temperature and humidity coupling in the prior art and difficulty in landing of a chilled water temperature resetting technology. The control method comprises the steps of S1, parameter initialization, S2, system starting and stabilizing, S3, air supply dew point dynamic adjustment and cold water valve control, S4, temperature and air supply amount control and S5, fresh air optimization and air valve control. The water supply temperature is adjusted by dynamically adjusting the air supply dew point and dynamically increasing the temperature of the outlet of the surface air cooler, the energy efficiency of the unit is remarkably improved, and the system is suitable for the chilled water temperature resetting technology and compatible with the application of the medium-temperature water supply technology.

This invention relates to the field of mining technology and discloses a method for multi-parameter environmental monitoring underground. The method includes the following steps: real-time acquisition of equipment pose, vibration spectrum, and environmental parameters through multi-source sensors; spatiotemporal alignment, filtering and noise reduction, and feature extraction of the raw data; outputting a standardized state vector; fusing pose data, vibration signals, and environmental parameters under a unified spatiotemporal reference to construct a multi-dimensional feature matrix; and using principal component analysis to reduce dimensionality and remove redundant information, outputting the fused equipment state vector. This invention achieves real-time fusion of equipment pose and airflow dynamics, collaboratively controlling ventilation equipment. Based on coupled modeling of vibration spectrum and pose drift, it intelligently compensates for sensor reading errors, eliminates the interference of mechanical vibration on gas monitoring accuracy, and ensures the reliability of gas concentration detection. Through spatial correlation analysis and dynamic airflow optimization, it proactively eliminates sudden drops in wind speed caused by mine car passage, achieving continuous monitoring throughout the roadway.

The invention relates to the field of ventilation control, in particular to an intelligent ventilation control method and system based on an intelligent laboratory, and the method comprises the steps: obtaining a to-be-controlled air volume sequence and a multi-dimensional to-be-controlled turbulence characteristic sequence of any region in a preset sampling period, and calculating a turbulence compensation coefficient of a target dimension, the turbulence contribution degree of any region in the target dimension is calculated; calculating a comprehensive product, calculating a first difference value between the air volume at the marked moment and the comprehensive product, and taking a mean value of the first difference values of all dimensions as an air volume correction value of any region at the marked moment; and taking a result of weighted summation of the air volume correction values of all the areas as comprehensive air volume, and inputting the comprehensive air volume into a laboratory PID controller to complete ventilation control. According to the technical scheme, the precision and timeliness of the ventilation control result can be improved.

The invention belongs to the technical field of data processing, and particularly relates to a real-time control simulation system for air cooling island freezing prevention, and the system obtains a temperature field, a back pressure field and a fan operation state in a target area in real time through a monitoring module; the analysis module constructs a space-time distribution field of the temperature and the back pressure according to the temperature and the back pressure, and further fuses the space-time distribution field into a temperature-back pressure causal distribution mapping field; the inversion module carries out fault type discrimination based on the mapping field and a back pressure abnormity identification model, and generates an inversion mapping space containing an early warning level, starting time, air volume, air speed and air direction in combination with a fan operation inversion function; the response simulation module performs real-time anti-freezing control by applying a strengthening adjustment strategy and a simulation algorithm, so that the temperature and the back pressure are maintained in a standard interval; according to the invention, intelligent identification, accurate prediction and self-adaptive regulation and control of the air cooling island freezing injury risk are realized, and the accuracy of anti-freezing control and the reliability of system operation are effectively improved.

The application discloses a high-precision Venturi valve characteristic nonlinear compression spring preparation method and a compression spring, and realizes accurate matching of compression spring performance and nonlinear flow regulation characteristics of the Venturi valve through multi-step optimization design. The method comprises the following steps: establishing a Venturi valve curve coordinate system, calculating a flow area, calculating an external force work, fitting a spring performance curve, determining a force value range, designing a spring gradual change process, heat treatment stress relief, testing and correction, ensuring that the spring performance meets the design requirements, and completing final standardization. The application provides a calculation method for force change law of a valve core of a Venturi valve and the valve core under different valve front static pressures, obtains a theoretical force curve, calculates compression and spring force compensation required by a damping structure of the valve core of the Venturi valve, and through forward development design and production, improves the independence of air volume and pressure of the Venturi valve and the air volume control precision.