1243results about "Fluid pressure control using electric means" patented technology

The invention relates to the technical field of gas steel cylinder pressure control, in particular to a gas steel cylinder multi-stage pressure control method based on a self-adaptive threshold value, which can dynamically correct the influence of ambient temperature on a pressure reference value through a constructed pressure-temperature compensation function, eliminate measurement errors caused by temperature drift, and improve the accuracy of pressure control. A pressure fluctuation entropy value is calculated in real time based on a sliding window algorithm, a self-adaptive threshold value adjustment coefficient alpha is generated in combination with historical working condition database matching, a control threshold value is dynamically adjusted along with gas flow velocity fluctuation and equipment aging degree, and the pressure over-limit risk is reduced; according to the method, fuzzy neural network control is introduced in a critical adjustment stage through a multi-stage pressure adjustment strategy, an improved radial basis function dynamic updating mechanism can adapt to a pressure sudden change mode online, the control response speed is increased, and the steady-state error is controlled within + / -1.5%.

The invention provides a pressure control method of a chamber and semiconductor process equipment. The method comprises the following steps: monitoring the pressure of the chamber, monitoring the current opening degree of a pressure control valve of the chamber, and determining the actual flow introduced into the chamber based on the pressure of the chamber and the current opening degree; after the target pressure of the cavity is updated, the target opening degree of the pressure control valve is determined based on the actual flow currently introduced into the cavity and the target pressure, and the pressure control valve is controlled to be opened to the target opening degree; and performing closed-loop control on the pressure control valve based on the chamber pressure and the target pressure. According to the pressure control method for the cavity, the influence of the target pressure on the opening degree of the pressure control valve in open-loop control is considered, the influence of the real-time air inlet flow of the cavity on the opening degree of the pressure control valve is also considered, the open-loop control precision is improved, the opening degree of the pressure control valve in the open-loop control is close to the final steady-state opening degree position, and the pressure control accuracy is improved. The adjustment time of subsequent closed-loop control is shortened, the pressure control time of the cavity is shortened, and the process efficiency is improved.

A fluid control device includes a fluid pipe section including a fluid inlet and outlet connectable in series to a fluid pipe. A fluid valve is coupled in series within the fluid pipe section separating a fluid inlet and outlet side and controlling a fluid flow. An electric motor is mechanically connected to the fluid valve. A temperature sensor is connected to the fluid pipe section monitoring a temperature of the fluid flow. A pressure sensor is connected to the fluid pipe section monitoring a pressure of the fluid flow. A flow rate sensor is connected to the fluid pipe section monitoring a flow rate of the fluid flow. A control device processor is electrically connected to the electric motor and electrically connected to the sensors. A communication device coupled to the control device processor is for wirelessly connecting to a remotely disposed fluid monitoring and control system.

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 intelligent grouting pressure adjusting method and system based on deep learning, and relates to the technical field of grouting pressure adjustment. Geological and geophysical prospecting data of a to-be-grouted area before grouting construction are obtained; all parameters of the surrounding environment influence, the active regulation and control pressure pulse and the pressure pulse of the grouting equipment serve as the state S for describing grouting diffusion, all the parameters in the state S are input into a pre-trained grouting pressure influence prediction model, and the corresponding grouting effect is obtained; according to geological and geophysical prospecting data, the needed grouting diffusion threshold value state is calculated, all parameters in the state S, the corresponding grouting effect and the grouting diffusion threshold value state are input into a pre-trained grouting pressure regulation and control model, and the model takes the grouting diffusion threshold value state as the target of the grouting effect and outputs grouting pressure regulation operation; and according to the actual grouting condition and the real-time feedback of the actual grouting parameters, the grouting pressure regulation and control model is updated, so that the grouting pressure is regulated, and the grouting pressure is automatically and accurately regulated.

The invention discloses a pressure controller for a water supply and drainage system and a regulation and control method, and relates to the technical field of emergency protection devices. The method comprises the following steps: acquiring monitoring data of each pressure controller; based on the monitoring data, the pressure value gradient amount of each pressure controller is obtained; obtaining an abnormal region position of the conveying pipeline based on each pressure value gradient amount; obtaining a first pressure controller based on the abnormal region position; and the first pressure controller is adjusted, so that the maximum pressure value of the abnormal area position is smaller than or equal to a standard pressure threshold value. Through the arrangement of the pressure controller capable of measuring the pressure and position of the conveying pipeline, the position where turbulent flow or vortex occurs in the conveying pipeline can be determined, then the pressure of the abnormal area of the conveying pipeline is adjusted based on the corresponding pressure controller, and the situation that the abnormal area of the conveying pipeline is damaged due to the too large pressure is avoided.

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.

Embodiments disclosed herein are directed to a drainage control system including, a tubular body with a tubular body lumen extending from a distal end to a proximal end and a collapsible tube disposed within the tubular body lumen, the collapsible tube including a collapsible tube lumen extending from a distal end to a proximal end of the collapsible tube. The collapsible tube can be attached to the tubular body, such that fluid flow through the tubular body lumen flows through the collapsible tube lumen. The tubular body can include a valve that is actuatable between a first configuration wherein fluid flow is allowed through the tubular body lumen and a second configuration wherein fluid flow is prevented through the tubular body lumen. An airflow source can be coupled to the valve such that pressure from the airflow source actuates the valve.

The invention discloses a control method and system for outlet steam pressure of a steam jet type mixer, and relates to the technical field of steam jet type mixers.The control method comprises the following steps that real-time operation parameters and structure parameters of the steam jet type mixer are obtained; constructing an outlet pressure prediction model based on the historical operation data, and inputting the real-time operation parameters and the structure parameters into the prediction model to obtain an outlet pressure prediction value; the method is technically characterized by comprising the steps that an outlet pressure prediction model comprising a working condition feature recognition layer, a pressure change trend prediction layer and a pressure deviation early warning layer is constructed, and the model reduces prediction errors through iterative training by collecting full-cycle operation data of past three years; real-time operation parameters and structure parameters are input into the prediction model, so that an outlet pressure prediction value and a change trend graph can be obtained in advance; and on the basis, the control adjusting quantity is obtained by combining the outlet pressure deviation value and the development trend, so that the adjustment is more predictive.

The invention relates to a micro-spraying system irrigation uniformity control method and system, and belongs to the technical field of agricultural irrigation energy saving. Calculating the flow data of each nozzle according to the data of the flow meters of the branch pipes; calculating the pressure distribution of each node under the condition of no throttle valve by using the irrigation area pipe network hydraulic model, and finding out the part with too high or too low pressure in the pipe network; a throttle valve is installed on a main pipe of a pipe network in an irrigation area, and the opening degree of the throttle valve is adjusted and the pressure rise of a water pump is calculated by taking the most disadvantageous spray head in the pipe network as a pressure reference; the flow condition in the pipe network is monitored in real time through the flow meter, and data are uploaded; the pressure is calculated through the pipe network hydraulic model, when the water pressure in the pipe network is abnormal, the throttling valve needing to be adjusted and the opening degree are calculated, workers are informed, and early warning is conducted in time. The service life of the system is prolonged, and the irrigation efficiency and the water resource utilization rate are improved.

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 high-pressure hydrogenation reactor control, and discloses a multi-stage pressure optimization control method and system for a high-pressure hydrogenation reactor, and the method comprises the steps: obtaining temperature, pressure and flow monitoring data, generating original parameter data, and deploying a distributed control network; collecting and analyzing multi-stage pressure sensor data, and generating a pressure change influence factor; sensing a valve state, and generating a valve change influence factor; collecting data of a flow sensor, and dividing a control area after calibration; and calculating a pressure optimization index based on the control area data, integrating multiple factors to generate comprehensive control data, and further generating a pressure control signal and outputting an instruction. The system comprises a control network deployment module, a pressure analysis module, a valve analysis module, a control area analysis module and a pressure control signal generation module. Through multi-dimensional data fusion, a distributed control network and dynamic optimization calculation, the accuracy and stability of pressure control of the high-pressure hydrogenation reactor are improved, and the method is suitable for efficient and safe production in the field of petrochemical engineering.

The invention provides an oil inventory early warning method based on real-time perception, and the method comprises the steps: obtaining the suction pressure data of an oil and gas recovery device in real time, monitoring the real-time change trend of the suction pressure, and determining that the suction pressure has abnormal fluctuation if the pressure change exceeds a normal fluctuation range; if the air suction pressure abnormal fluctuation degree exceeds a preset fluctuation threshold value, the real-time pressure value of each storage tank is obtained from a pressure sensor of the multiple storage tanks, the difference value between the current pressure and the target pressure is calculated, and the distribution characteristics of pressure fluctuation are determined; oil flow data of each storage tank is obtained through an oil metering device, the change before and after the valve opening is adjusted is combined, the increase and decrease of loss and the change of loss rate after the valve opening is adjusted are analyzed, and the mapping relation between the valve opening and loss is established.

The invention discloses an air pressure control method for microwave plasma chemical vapor deposition diamond, and particularly relates to the technical field of microwave plasma chemical vapor deposition, and the method comprises the steps of S1, spectrum real-time monitoring, S2, machine learning prediction, S3, multi-stage air pressure regulation and control, S4, multi-parameter cooperative control, and S5, air pressure closed-loop control. According to the method, high-precision prediction of the optimal air pressure value is achieved through combination of spectrum real-time monitoring and a machine learning model, the diamond deposition quality is effectively improved by means of a multi-stage air pressure regulation and control and multi-parameter cooperative control strategy, the surface flatness and crystallinity are remarkably improved, meanwhile, precise air pressure closed-loop control and efficient gas flow are coordinated, and the precision of the diamond deposition is improved. In addition, all the modules of the system are in close fit, the stability of the deposition environment is guaranteed, the process fluctuation is reduced, the stability and reliability of the whole deposition process are enhanced, and powerful guarantee is provided for high-quality and high-efficiency production of diamonds.

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 provides a control method and device for cleaning equipment, the equipment, a medium and a program product, and can be applied to the technical field of liquid cooling servers. The method comprises the steps of determining a pressure difference value between a reference pressure value and a real-time pressure value of fluid at an outlet of a target pump in the cleaning equipment; a preset pressure control parameter is used for processing the pressure difference value based on a lag relation, a rotating speed adjusting signal is determined, and the lag relation indicates the lag degree between the rotating speed change moment of the target pump and the change moment of the collected fluid pressure value; the target pump is controlled to operate based on the rotating speed indicated by the rotating speed adjusting signal to adjust the output flow of the target pump, so that the adjusted pressure value is close to the reference pressure value; wherein the pressure control parameter is obtained by performing simulation calculation on a hysteresis relation based on an inertia time constant and pressure wave propagation delay time of the fluid at the outlet of the target pump.

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 is suitable for the technical field of gas transmission and distribution and pipe network safety monitoring, and provides a gas pipe network remote valve regulation and control system and method based on intelligent Internet of Things, and the method comprises the steps: obtaining an initial backflow risk value of a target pipeline region and historical data of a downstream pipe section tail end valve corresponding to the target pipeline region, historical data are analyzed, and a plurality of valve turn-off action samples meeting stable working conditions are extracted; according to the method, a conjoint analysis mechanism based on the difference between the valve turn-off action duration change trend and the valve front pressure micro-drop value is constructed, and a correction factor generation mode of slope deviation judgment and the pressure micro-drop relative difference rate at a specific time node is introduced for the first time; and dynamic perception of the evolution state of the sealing performance of the tail end valve is realized.

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.

The invention provides a compensation balance system and method of an electrodynamic transducer, and aims to solve the following problems in the prior art: a traditional electrodynamic sound source transducer needs to realize large-volume displacement in a low-frequency application scene, but the flexibility of an elastic suspension support of the traditional electrodynamic sound source transducer is insufficient to bear hydrostatic pressure; meanwhile, traditional passive and active compensation modes have challenges in the aspects of delay and stability. In order to solve the problems, the compensation balance system and method of the electrodynamic transducer mainly comprise an underwater acoustic transducer, a low-pressure middle cabin and a high-pressure gas cylinder, and a system self-checking function, a transducer piston position balance control function and a transducer fuzzy self-adaptive control function are integrated. The defects in the prior art are effectively overcome, and balance between the inner cavity of the transducer and the external hydrostatic pressure can be rapidly achieved. In addition, the control process is further simplified by determining the target control quantity, and the overall performance of the system is improved.

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.

There are provided a pressure control method and apparatus and a semiconductor process device. The method includes: acquiring an actual pressure value in a process chamber in real time (S1); calculating a pressure variation of the actual pressure value (S2); and comparing the pressure variation with a preset value set in advance, controlling, in a case where the pressure variation is less than or equal to the preset value, an actuator of a pressure regulating valve to maintain a current frequency, controlling, in a case where the pressure variation is greater than the preset value, a frequency of the actuator to decrease according to a preset functional relationship until the actual pressure value reaches a target pressure value (S3), and controlling an opening change of the pressure regulating valve based on the frequency. The method solves a problem of pressure overshoot in a rapid control process of a chamber pressure, and reduces an influence of a pressure fluctuation on the process.

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.