790results about "Fluid pressure control using electric means" patented technology

The invention relates to the technical field of automatic control, and discloses a pressure closed-loop self-calibration method for an ultrahigh-speed jet injection process, and the method comprises the steps: initializing a system, and building a pressure and temperature combined compensation model; a high-precision sensor is used for collecting real-time pressure and temperature data; by calculating a pressure deviation intelligent switching control strategy, PID is combined with feed-forward compensation in a steady state, and a deep reinforcement learning algorithm is switched to realize quick response in a transient state; automatically triggering closed-loop self-calibration according to operation time or a deviation threshold value, executing zero point and full scale calibration and updating compensation parameters; and carrying out residual analysis by using a digital twinborn model to realize fault diagnosis and early warning. According to the invention, the problems of low control precision and poor long-term stability of an ultra-high-speed jet flow process under nonlinear and large-lag working conditions are solved, and high-precision stable control and system self-adaptive calibration under a wide speed range are realized.

The invention relates to the technical field of high-pressure gas cylinder control, and discloses a high-pressure gas cylinder valve pressure dynamic monitoring and self-adaptive adjusting method. The method comprises the following steps: dividing a high-pressure gas cylinder valve into a plurality of monitoring units, and obtaining pressure, temperature and flow data of each unit to form a comprehensive monitoring data set; establishing a pressure stability evaluation index and an environmental factor influence evaluation index based on the data set, and generating an initial risk value by applying a probability early warning mechanism and an adaptive prediction model; dynamically correcting the initial risk value and outputting a corrected risk value according to spatial relevance or time sequence dependency of adjacent monitoring units; and finally, the corrected risk values are sorted, a priority control instruction list is generated, and a control execution unit is combined to output a self-adaptive adjustment signal so as to adjust the opening degree of the valve. According to the method, comprehensive monitoring and dynamic adjustment of the high-pressure gas cylinder valve are achieved, and the operation stability of the valve is improved.

The invention discloses a steam pipeline pressure control method, which comprises the following steps of: acquiring operation information of each key position of a pipe network in real time by constructing a data acquisition system and deploying an execution unit; a multivariable analysis method is utilized, topological structure characteristics of a steam pipeline are combined, a load change model of a steam consumption unit is constructed, the pressure change process caused by operation of different devices is recognized in advance, and a long-term pressure control strategy is made; meanwhile, an accumulative deviation curve is constructed based on a prediction and actual measurement residual evolution sequence, the potential fault risk of the system is identified in an auxiliary manner, and structured alarm output is formed, so that the safety guarantee capability of pipe network operation is enhanced. The steam pipeline pressure control method is suitable for the application scene that the overall steam use requirement is stable, but the local high-frequency disturbance behavior exists, the tiny pressure fluctuation trend can be accurately predicted under the high-disturbance working conditions such as frequent starting and stopping, and it is guaranteed that the steam pressure is stable.

The invention discloses an air pressure-boiling point self-adaptive regulation and control system and method of an energy storage immersed phase change liquid cooling system, and relates to the technical field of energy storage systems. The method comprises the following steps: calculating a thermal load of a system in real time, performing multi-objective optimization grading, and dynamically determining an optimal boiling point set value under a current working condition; resolving and obtaining a target air pressure set value by using the air pressure-boiling point relation mapping library; an improved composite control algorithm integrating feedforward control, fuzzy adaptive PID, integral saturation resistance and change rate limitation is adopted to drive an air pressure regulation execution mechanism, and regulation and control of the air pressure in the system are achieved. The system and the method have the advantages of high control precision, high response speed, good stability, high adaptability and the like.

The invention relates to a micro-pressure oxygen cabin self-adaptive pressure control method and system based on iterative optimization, belongs to the technical field of pressure control, and aims at solving the problems that existing micro-pressure oxygen cabin pressure control depends on manual repeated debugging, the efficiency is low, and self-adaptive optimization cannot be achieved. The method comprises the steps that in the pressure stabilizing stage of the micro-pressure oxygen cabin, the pressure in the cabin is monitored in real time, and when the pressure exceeds the upper limit or the lower limit of a preset pressure interval, a pressure stabilizing wave crest section or wave trough section opening degree adjusting algorithm is executed so as to adjust the opening degree of an electric exhaust valve. And after the single oxygen therapy process is finished, executing an iterative optimization step: automatically analyzing the pressure data of the current pressure stabilization stage by the system, and iteratively updating the control parameters for the next oxygen therapy process according to the pressure data. According to the method, self-learning and evolution of control parameters are realized through a closed-loop mechanism of real-time adjustment and redisk optimization, the parameters can be quickly converged to the optimal state within multiple times of operation, the debugging period is shortened, and the stability of pressure control is improved.

The invention relates to the technical field of intelligent control, in particular to a coke oven gas collecting tube pressure dynamic adjusting method and system based on intelligent control, and the method comprises the steps: obtaining pressure data from a gas collecting tube through a sensor, and storing the pressure data in a time sequence format to obtain a pressure deviation initial sequence; according to the pressure deviation initial sequence, calculating a data difference value and carrying out smoothing processing to obtain a change rate sequence; analyzing the change trend of the change rate sequence, and calculating a secondary difference value to obtain a change acceleration sequence; according to the change rate sequence and the change acceleration sequence, predicting a pressure deviation development trajectory by adopting a filtering method to obtain a predicted deviation trajectory; and if the predicted deviation trajectory exceeds a preset threshold range, obtaining a deviation influence evaluation value through historical data comparative analysis. The problem that the pressure control precision of the coke oven gas collecting pipe is poor in the high-temperature and high-pressure environment is solved, and the pressure adjusting precision of the gas collecting pipe in the high-temperature and high-pressure environment is improved.

The invention relates to the technical field of pressure control, in particular to a butterfly valve pressure self-adaptive adjusting method, device and equipment and a storage medium. According to the method, a pre-constructed neural network model is introduced, and user set pressure, actual measurement pressure, current control signals and error parameters serve as input variables; dynamic generation and real-time self-adaptive adjustment of PID control parameters are realized, the technical bottlenecks that parameter setting of a traditional PID controller is complex and adaptability to non-linear and time-varying systems is insufficient are effectively solved, and the parameter adjustment period is shortened; the weight parameter of the neural network is continuously optimized through a back propagation algorithm, so that the inhibition capability of the system on external disturbance is remarkably enhanced, the overshoot is reduced, and the long-term stability and control precision of pressure control are improved; the target step number is calculated in combination with butterfly valve hardware parameters, the accuracy and rapidity of stepping motor driving are ensured, and the problem of response delay of traditional PID control is effectively solved.

The invention provides a robust control automatic setting method for a constant-pressure water supply system, and the method comprises the steps: obtaining a system working condition in real time, and extracting multi-dimensional state parameters including real-time flow, pressure deviation, current deviation and power deviation; the current load working condition is judged according to the pressure deviation, disturbance characteristics are analyzed by integrating all parameters, and the disturbance grade and type are determined. On the basis, robust control parameters are automatically set in combination with real-time working conditions, load conditions and disturbance characteristics of the system. And finally, performing multi-stage cooperative control on the system by using the set parameters, so that the constant-pressure water supply system is automatically set. According to the robust control automatic setting method for the constant-pressure water supply system, load working conditions and disturbance characteristics are recognized based on multi-dimensional state parameters, robust control parameters are self-set in a targeted mode, and automatic setting of the constant-pressure water supply system is achieved through multi-stage cooperative control. Therefore, the intelligent level of the constant-pressure water supply system and the adaptability in different operation environments are effectively improved.

The invention relates to the technical field of material transportation, in particular to a conveying pressure control method and device of a powder and particle pneumatic conveying system. The method comprises the steps that the material humidity, the conveying pressure and the air speed of a frequency conversion fan are obtained; determining a humidity adjusting coefficient; in the pressurization stage, a suppression coefficient is determined according to the current wind speed and the target wind speed; according to the humidity adjustment coefficient and the inhibition coefficient, inhibiting the proportionality item to obtain a target proportionality coefficient; enhancing the differential term in combination with the humidity adjustment coefficient and the pressure deviation to obtain a target differential coefficient; in the pressure reduction stage, the standard humidity is compared with the air speed and the conveying pressure under the material humidity at the current sampling moment and the humidity adjusting coefficient, the integral item is adjusted, and a target integral coefficient is obtained; and adjusting the conveying pressure based on the adjusted PID coefficient. The problem of asymmetry of bidirectional adjustment of pressurization and depressurization can be solved, the adjustment logic is optimized, and the conveying efficiency and stability of pneumatic conveying of powder and particle materials are improved.

The invention relates to a pressure control method and system and a storage medium. The method comprises the steps that the monitored current angle of a butterfly valve and the monitored current pressure of a process cavity are obtained; determining the current air inflow of the process chamber according to the current angle and the current pressure of the butterfly valve; determining the predicted pressure of the process chamber at the next moment according to the current angle of the butterfly valve and the current air inflow; according to the set target pressure, the predicted pressure at the next moment and the current air inflow, the target angle of the butterfly valve is determined; and the operation path of the butterfly valve reaching the target angle of the butterfly valve in the shortest time is planned, and the butterfly valve is controlled according to the operation path so that pressure control over the process cavity can be achieved. The real-time air inflow is automatically estimated, the future pressure is accurately predicted, pressure overshoot is reduced, and the stabilization time is shortened; and the opening switching speed of the butterfly valve is maximized, the target angle is reached as soon as possible within the hardware bearing range, and then the pressure response speed is increased.

The invention discloses a single-hole pressure adjusting method, device and equipment for a water curtain test of an underground water-sealed cave depot and a storage medium, and relates to the technical field of geological engineering.The method comprises the steps that firstly, a rock mass acoustic impedance spectrum is collected, intrinsic mode decomposition is carried out to extract geologic feature components, and the rock mass acoustic impedance spectrum is obtained; processing the target pressure value, the current pressure value and the geologic feature component by using a pressure-opening coupling model based on acoustic feature extraction, time sequence dynamic analysis and physical constraint decoding to obtain a reference valve opening; then, a water curtain hole valve is adjusted according to the reference valve opening degree, and the pressure change acceleration is monitored in real time; calculating an opening compensation increment and a damping attenuation coefficient based on the pressure change acceleration, and further generating a target valve opening; and finally, the valve is adjusted to the target opening degree, so that the water curtain hole reaches the target pressure value. According to the invention, high-precision self-adaptive adjustment of the pressure of a single water curtain hole can be realized in the water curtain test of the underground water-sealed cave depot.

A fluid mattress includes:a fluid supply unit capable of supplying a fluid;a fluid path to which the fluid is supplied from the fluid supply unit;a plurality of first cells connected to each other;a plurality of second cells connected to each other;a first solenoid valve including a first end connected to the plurality of first cells and a second end connected to the fluid path;a second solenoid valve including a first end connected to the plurality of second cells and a second end connected to the fluid path;an external solenoid valve including a first end connected to an outside and a second end connected to the fluid path;a pressure sensor that measures a pressure of the fluid in the fluid path; anda controller that receives input of a measurement result by the pressure sensor, and controls the fluid supply unit, the first solenoid valve, the second solenoid valve, and the external solenoid valve.The controller can implementa first mode in which a pressure in the second cell is set to be a first pressure, and a pressure in the first cell is set to be equal to or lower than a second pressure lower than the first pressure, anda second mode in which a pressure in the first cell is set to be the first pressure, and a pressure in the second cell is set to be equal to or lower than the second pressure.The controller, when implementing the second mode by shifting from the first mode, stops the fluid supply unit, causes the first solenoid valve to be in a closed state, causes the second solenoid valve and the external solenoid valve to be in an open state, determines the first pressure based on time during when a measurement value by the pressure sensor changes from a third pressure lower than the first pressure and higher than the second pressure to a fourth pressure lower than the third pressure and higher than the second pressure, and causes the first pressure to be higher as the time is longer.

The invention relates to the field of fluid pipeline system safety and intelligent control, and provides a water hammer pressure prediction and active suppression method and system. The method comprises the following steps: acquiring a multi-dimensional digital signal flow, and generating a window data matrix sequence through sliding window segmentation and dimensionless; image coding is carried out to form a spatiotemporal feature sequence, the spatiotemporal feature sequence is processed by a double-branch spatiotemporal prediction network, and a prediction feature spectrum sequence is output and decoded to form a prediction waveform matrix; future risk indexes and morphological characteristics are extracted and spliced with the multi-dimensional digital signal flow to form a prediction enhancement state vector, and the prediction enhancement state vector is input into a strategy network to generate valve action control parameters; and a target valve opening curve is decoded, a composite control signal is obtained through feedforward-feedback composite control, actual response data flow and historical data packaging are collected, and a prediction network and a strategy network are updated online through mixed priority screening. According to the method, prospective and self-adaptive water hammer prediction and active suppression are realized, the pressure evolution trend of a pipeline system is informed, and decision support is provided for safe operation of a fluid pipe network.

A method performed by a computing device for controlling fluid pressure in a fluid distribution network (FDN) above a threshold pressure by communicating with a plurality of pressure control stations distributed throughout the FDN to independently control a fluid pressure at each of the plurality of pressure control stations is provided. The method comprises training a machine learning algorithm to establish one or more correspondences between a measured variation in fluid demand in the FDN for a first time period and measured environmental conditions for the first time period. The method comprises predicting a variation in fluid demand in the FDN for a second, later time period based on predicted environmental conditions for the second time period and the established one or more correspondences between the measured variation in fluid demand in the FDN for the first time period and the measured environmental conditions for the FDN for the first time period. The method comprises determining, based on the predicted variation in fluid demand for the second time period, a variation in fluid pressure to be applied at the plurality of pressure control stations for the second time period to satisfy a fluid pressure condition at one or more pre-determined points in the FDN downstream from the plurality of pressure control stations. The method comprises transmitting, to the plurality of pressure control stations, an indication of the determined variation in fluid pressure to be applied at the plurality of pressure-control stations for the second time period to satisfy the fluid pressure condition at the one or more pre-determined points in the FDN.

The invention is applicable to the field of exhaust control, and discloses an exhaust control method, system and device and a medium, the method comprises the following steps: acquiring exhaust operation state data to obtain a historical data set; a predicted pressure value is obtained by combining the historical data set with the weighting factor and adopting a weighted moving average prediction model; obtaining a predicted pressure change rate through the predicted pressure value, and comparing the predicted pressure change rate with a preset threshold value to obtain an exhaust triggering condition; on the basis that the exhaust triggering condition is met, exhaust parameters are generated through a digital twin simulation model, and exhaust is executed according to the exhaust parameters; based on the pressure value and the sealing state in the exhaust process, the exhaust state is judged in combination with the recovery threshold value, and an execution instruction is obtained; and exhaust abnormity detection is carried out based on the execution instruction to complete exhaust control, the process safety is guaranteed, whole-process data are recorded and uploaded, an exhaust closed loop is realized, and the accuracy, stability and safety of exhaust control are improved.

The invention relates to the field of homogenizer intelligence, and discloses a homogenizer intelligent pressure increasing and reducing control system based on servo synchronous transmission, which comprises the following steps: extracting the operation inertia difference of each plunger mechanism under a multi-pump parallel structure, generating a synchronous offset vector map, and calculating the pressure increasing and reducing of the homogenizer based on the synchronous offset vector map. Calling a slip registration algorithm and an inertia field decoupling network, extracting reconstructed plunger stroke and pressure response mapping data, constructing a three-dimensional flow-path-stress tensor model, judging whether fluctuation-wear coupling sensitive points exist or not, activating a frequency conversion regulation and control strategy set of a servo driving layer based on a disturbance window and the coupling sensitive points, and carrying out the control of the servo driving layer. And judging whether structural thermal drift feedback unbalance exists or not, dynamically adjusting servo redundancy and a buffer response strategy in combination with a preset life curve and an abnormal response backtracking channel, and outputting a synchronous regulation and control instruction set. The method has the advantage of improving the long-term operation reliability of the homogenizer.

The present application provides an oil-gas separation apparatus capable of implementing complete degassing and methods. The apparatus comprises: a piston cylinder and a degassing cylinder, a degassing solenoid valve being arranged between the degassing cylinder and the piston cylinder, one end of the degassing solenoid valve extending into the interior of the piston cylinder, and the other end thereof being in communication with the degassing cylinder; a variable speed diaphragm pump, an air intake end thereof being in communication with the atmosphere and an air discharge end thereof being in communication with the degassing cylinder for drawing ambient air, and used for cleaning a gas path of the oil-gas separation apparatus, and providing power for the degassing cylinder, thereby replacing a design involving a carrier gas cylinder or a gas generator; and a main control module. According to the present application, the piston cylinder, the degassing cylinder, the degassing solenoid valve, and the variable speed diaphragm pump are integrated and are uniformly controlled by the main control module, so that high-efficiency oil and gas separation is implemented. A unique degassing control method and a concentration calculation method are designed, so that fast and efficient degassing is implemented, nearly complete degassing is achieved without correcting a degassing rate, a mathematical model for inverse calculation of an oil sample concentration on the basis of a gas concentration is simplified, and concentration conversion is convenient.

The invention relates to the technical field of energy storage and heat dissipation, and discloses a centralized energy storage power station heat dissipation system. A data acquisition module of the system obtains historical operation data at different altitudes and generates a historical cooling parameter set; a feature analysis module extracts features from the features to obtain a historical feature parameter set, and a trend change feature matrix is established according to the historical feature parameter set; the pressure adjusting module constructs a pressure control space based on the matrix, and determines a feature early warning index set by calculating the parameter aggregation degree of historical abnormal events; the heat dissipation execution module extracts real-time characteristic parameters to establish state vectors, and calculates the position deviation degree between the state vectors and the early warning index set to generate real-time pressure regulation factors. The pressure adjusting module generates a pressure control model in combination with real-time adjusting factors, historical characteristic parameters and a trend matrix and outputs cooperative control parameters of the variable-frequency screw pump and the gear pump, precise adjustment of the working pressure of the cooling liquid is achieved, and efficient and stable operation of the energy storage power station is guaranteed.

The invention provides a motor control method, device and equipment, and is applied to the technical field of motors. The method comprises the following steps: before oxygen supply, controlling a motor to start running at a pre-configured minimum driving current, controlling the driving current of the motor to increase progressively before the motor has a rotating speed, determining a target driving current of the motor when the motor is changed from a non-rotating speed to a rotating speed, and storing the target driving current as a driving current required by the motor in an oxygen supply process, and in the oxygen supply process, the motor is controlled to operate at the target driving current to apply pressure to the oxygen bottle, so that the oxygen bottle releases oxygen. According to the method provided by the invention, the oxygen supply system can take the oxygen bottles of different specifications as the oxygen source, so that the oxygen supply system can be matched with the oxygen bottles of various specifications, and the compatibility of the oxygen supply system can be improved.

The invention discloses a cooling system pressure regulation and control method and device based on multi-source data fusion, and the method comprises the steps: collecting multi-source data from a cooling system through a sensor, carrying out the fusion processing, and generating a standardized sensor data set. And calculating a comprehensive system pressure value by adopting a data fusion technology according to the standardized sensor data set to obtain a fused pressure data set. And determining a system pressure state through threshold comparison based on the fused pressure data set. And obtaining channel flow data based on the system pressure state, and adjusting the opening degree of a valve to obtain an optimized regulation and control result. And transmitting the optimized regulation and control result to a pressure maintaining system, controlling the valve flow by adopting a pressure stabilization regulation algorithm, and determining a pressure balance index. Therefore, according to the cooling system pressure regulation and control method based on multi-source data fusion, the pressure change can be dynamically responded, the system pressure can be stably maintained, and the air resistance phenomenon can be effectively eradicated.

The invention discloses a method and a device for controlling the flow rate of pressurized air flow of a bed layer of a pressure swing adsorption device, and relates to the technical field of adsorption control. The method and the device for controlling the flow rate of the pressurized air flow of the bed layer of the pressure swing adsorption device comprise the following steps: S1, acquiring pressure difference state data in real time, and preprocessing the pressure difference state data; s2, slip sheet displacement balance is carried out on the differential pressure state data; s3, throttling opening response is conducted on the pressure difference state data; s4, setting a movement boundary of the slip sheet; and S5, the pressure difference state data, the sliding vane displacement balance result and the throttling opening response result are synthesized to execute buffer energy consumption evaluation. The problems that the throttling opening is fixed, the gas flux cannot be dynamically adjusted according to the actual working condition and the adjusting rigidity and the energy efficiency are reduced due to the fact that the front and back pressure difference change of the adsorption tower cannot be sensed in real time in the throttling process and a pressure difference driven feedback adjusting mechanism is lacked are solved.

The invention relates to the field of machining environment-friendly treatment, in particular to an atomized cutting fluid discharging and treating system and a control system and method thereof. The treatment system comprises a centralized exhaust system, a gas collecting hood, an induced draft fan, a wind pressure buffer device and an adjustable wind resistance structure in the buffer device. The induced draft fan is a frequency conversion fan, and the power can be automatically adjusted manually or through a state sensing device so as to adapt to the atomization state of the equipment. The air pressure buffering device is arranged between the induced draft fan and the main air pipe, airflow resistance is changed by adjusting an air resistance structure, and outlet air pressure stability is achieved. The control system comprises a plurality of sensors and is used for collecting wind pressure and flow speed in real time, and the controller generates a control instruction based on collected data and drives the wind resistance structure to dynamically respond to induced air changes. The system is high in adaptability, atomized cutting fluid gas generated by open-type equipment can be efficiently collected, the emission control effect is improved, and safe connection with a centralized exhaust system is guaranteed.

The invention relates to the technical field of diaphragm pump automatic control, in particular to a diaphragm pump self-adaptive pressure relief and stabilization control method based on pressure feedback, which comprises the following steps: configuring reference parameters before starting and detecting faults of a pressure sensor, a pump driving unit and an electromagnetic pressure relief valve; obtaining an effective pressure value through moving average filtering; dynamically adjusting PID parameters according to the pressure deviation and the change trend; and pump rotating speed adjustment, graded pressure relief or emergency shutdown are executed according to the normal area, the early warning area and the overpressure area. The method effectively improves the pressure stabilization precision and the pressure relief response flexibility, comprehensively avoids the equipment fault risk, adapts to the working conditions of multiple fields, and remarkably enhances the reliability and practicability of system operation.

The invention discloses a pressurizing oxygen cabin pressure control method which comprises the following control steps: after an oxygen cabin door is completely closed, a compressor in a pressure control system is started along with linkage control to implement a pressurizing mode in an oxygen cabin body; in the process of pressurizing the inside of the oxygen cabin, three paths of electric ball valves in the air circulation system are started according to three pressure gears set and monitored by an oxygen cabin pressure control system to open the corresponding electric ball valves to release pressure; and when the pressure in the oxygen cabin exceeds the pressure gear in the set three-gear pressure, the corresponding gear electric ball valve is automatically started and opened to execute the pressure relief task, so that the oxygen cabin pressure in the oxygen cabin is kept in a safe and effective pressure level interval, the pressure control in the oxygen cabin is simple, convenient and effective, and the pressure control cost is low.

The invention relates to the technical field of non-electrical variable control or regulation systems, and discloses an exhaust gas aftertreatment flow channel back pressure dynamic regulation method, which comprises the following steps: acquiring a supply source phase reference signal and establishing cyclic mapping; a fluid channel pressure signal pulse range change rate is extracted to determine a feed-forward factor; determining a pressure signal trough interval as an action window; determining a reference amplitude based on the feedback deviation and using a feed-forward factor for compensation to determine a target adjustment instruction; the adjusting mechanism is driven to move in the action window, so that the response peak value is locked in the trough interval, the adjusting action is locked in the low-energy phase, kinetic energy intervention of fluid pulses on the adjusting mechanism is avoided, and mechanical abrasion is reduced; pulse characteristic feed-forward compensation is utilized to enable an adjusting instruction to sense the trend of a flow field, the response speed is increased while a signal is smoothed, and pressure balance under the transient working condition is maintained.

The invention discloses a thermal power plant boiler steam pressure stability control method and system, and relates to the technical field of thermal power plant thermal automation control, and the method comprises the steps: obtaining the real-time data of multiple boilers of a thermal power plant to construct a matrix, building a global optimization model with the pressure fluctuation degree as the target and the unit regulation coupling degree as the constraint, and generating an initial strategy; the deviation degree of the system is evaluated, if the deviation degree exceeds a threshold value, optimization is conducted, an instruction is sent to be executed, and multi-boiler cooperative pressure control stability is achieved. The technical problems that in a traditional control technology, the regulation and control coupling relation among multiple boilers of a thermal power plant is not fully considered, pressure fluctuation, energy consumption efficiency and response time delay are difficult to balance, consequently, steam pressure stability is insufficient, and the precise control requirement under the complex working condition cannot be met are solved, and the purposes that the regulation and control coupling relation among the boilers is fully considered, and the control precision is improved are achieved. Pressure fluctuation, energy consumption efficiency and response time delay are balanced, and the technical effect of stable and accurate control over the steam pressure under the complex working condition is achieved.

The invention provides an electrostatic powder coating airflow stability real-time compensation method, and relates to the technical field of powder coating control, the method is realized based on an electrostatic powder coating airflow stability real-time compensation device, the device comprises a master control MCU, a pneumatic control valve, a stepping motor driver for driving the pneumatic control valve, and a current sampling circuit coupled to the stepping motor driver, the current collector is used for collecting winding current of the stepping motor in real time. The method comprises the following steps that after a pneumatic control valve is opened to a target opening degree and enters a holding state, a static holding current value of the pneumatic control valve is obtained; comparing the static holding current value with a preset reference holding current value, wherein the preset reference holding current value corresponds to the holding current required by the target opening degree under the smooth state of the airflow channel; according to the offset of the static holding current value relative to the reference holding current value, whether the airflow channel has a blocking trend or not is judged; if not, the current target opening degree of the pneumatic control valve is maintained, the airflow state change can be more directly sensed, and real-time active compensation is carried out.

The invention relates to the technical field of control, in particular to an intelligent sickbed control method based on matrix pressure sensor modeling. The method comprises the following steps that a matrix type pressure sensor network is arranged in a mattress, and an inflation structure soft bag with an inflation and deflation valve is correspondingly arranged in a blank grid block, so that a matrix type pressure sensing intelligent sickbed is obtained; acquiring pressure data corresponding to each sensing point location of a user in real time by using a matrix type pressure sensing intelligent sickbed, and performing pressure distribution matrix modeling to obtain an intelligent sickbed pressure distribution matrix model; and acquiring an intelligent sickbed pressure matrix mean value and an intelligent sickbed pressure matrix standard deviation, performing pressure difference block division and inflation and deflation amount compensation calculation, and acting on the inflation structure soft package to perform inflation control response and deflation control response so as to execute corresponding intelligent sickbed pressure inflation and deflation control work. According to the invention, real-time monitoring and feedback control of the pressure state of the intelligent sickbed user can be realized.

The invention relates to the field of valve control, in particular to a vacuum system pressure stabilization control method based on valve control. The vacuum system comprises a cavity and a vacuum pump communicating with the cavity through a valve, and the method comprises the steps that S1, based on cavity sampling pressure and target pressure, the target valve opening weight of the next period is calculated through incremental PID; s2, according to the relation between the pre-calibrated valve opening and the valve opening weight, the target valve opening corresponding to the target valve opening weight is obtained; and S3, adjusting the valve to the target valve opening, and returning to the step S1 until the current pressure of the cavity is adjusted to the target pressure. The chamber pressure control precision of the vacuum system can be improved.

The invention provides a real-time monitoring and control method and system for pressure in a catheter in breast duct endoscopy, and relates to the technical field of medical equipment monitoring and control, and the method comprises the following steps: forming a multi-dimensional parameter characteristic matrix by collecting temperature, conductivity and image data in the catheter, and carrying out adaptive filtering analysis to extract fluid characteristic parameters; pressure distribution characteristics in the conduit are calculated, fluid flow state parameters are monitored in combination with a microfluid sensor array to identify a local turbulence area, when the turbulence intensity exceeds an early warning threshold value, wavelet transform is adopted to analyze and calculate the turbulence development trend, and the pressure in the conduit is controlled within a safe range through an active pulsation compensation technology; and the safety and the accuracy of breast duct endoscope examination are improved.