951results about "Flow control using electric means" patented technology

The invention relates to the technical field of flow measurement and control, and particularly discloses a cheese filling flow real-time calibration control method and system.The cheese filling flow real-time calibration control method comprises the following steps that working condition information of cheese in a filling pipeline is collected in real time, and the working condition information comprises the temperature, the pressure, an original flow signal, the pump rotating speed and the proportional valve opening degree; dynamically selecting a filtering order according to the signal-to-noise ratio of the original flow signal, and outputting the filtered flow; and based on the acquired working condition information, predicting the dynamic viscosity of the cheese in real time through a neural network, fitting a flow-working condition relation function and calculating a target flow value. The signal-to-noise ratio of an original flow signal is dynamically adapted to optimize filtering processing, signal distortion caused by interference such as temperature drift and mechanical vibration is effectively eliminated, and the flow detection precision is improved; by means of the neural network, the dynamic viscosity of cheese is predicted in real time, the model is dynamically adjusted, the problems that traditional viscosity estimation lags behind, and the batch adaptability is poor are solved, and an accurate basis is provided for flow target value calculation.

The invention discloses a method and system for controlling the opening degree of a pipeline flow automatic adjusting valve, and relates to the technical field of automatic control. The method comprises the steps that real-time flow data in a pipeline and real-time pressure difference data of upstream and downstream of a valve are obtained; comparing the real-time flow data with a preset target flow to obtain a flow deviation, and generating a feedforward compensation signal by a proportional-integral-differential controller according to the flow deviation and the real-time pressure difference data; the flow deviation is input into a PID controller, and a proportional-integral-differential controller generates a feedback control signal; generating a composite control signal according to a superposition result of the feed-forward compensation signal and the feedback control signal; and the electric actuating mechanism is driven to adjust the opening degree of the valve according to the compound control signal, the actual opening degree of the valve is obtained through the position sensor, and the actual opening degree is fed back to the proportional-integral-differential controller. The invention provides a brand new solution with high robustness, high precision and low maintenance cost for industrial fluid control.

The invention relates to the technical field of industrial process automatic control, in particular to an industrial steam flow intelligent adjusting system. According to the method, the continuous change trend of the steam state is subjected to time sequence identification, dynamic classification of the steam state can be realized under multivariate combination, so that a steam state switching path is insighted in advance, an information coupling measurement mechanism between enthalpy change and flow is introduced on the basis, and calculation of mutual information between enthalpy and flow is combined, so that the dynamic classification of the steam state is realized. Abnormal sections with adjustment deviation in actual operation are accurately recognized, the adjustment possibility is further judged according to the deviation quantification result of the target flow and the actual output flow, controllable and uncontrollable sections are effectively divided, and the rollback value domain limitation of the uncontrollable sections is set. Therefore, in the subsequent target value adjusting process, target setting of the remaining sections can be reset in a targeted mode, the priority sequence is constructed according to the adjusting time sequence and the adjusting amplitude, and dynamic sorting output of the adjusting strategy is achieved.

A gate linkage control method and device and a parallel water supply and power generation system are provided. The method comprises the following steps of: acquiring current gate opening degree information of the parallel water supply and power generation system and a current water level of a third trunk canal, the current gate opening degree information comprising current first gate opening degree information and current second gate opening degree information; determining a target gate linkage control strategy of the parallel water supply and power generation system according to the current gate opening degree information of the parallel water supply and power generation system and the current water level of the third trunk canal; and controlling a gate opening degree of a target gate according to the target gate linkage control strategy of the parallel water supply and power generation system.

A gas supply control device that supplies a gas to a processing chamber in which a workpiece is processed, includes: a first port connected to a gas source of a purge gas; a second port to which a gas source of a processing gas is connected; a collective pipe in which each of the purge gas and the processing gas supplied from the first port and the second port merges, respectively, and flow; a first flow rate controller provided between the first port and the collective pipe; and a second flow rate controller provided between the second port and the collective pipe. A gas flow path through which the purge gas flows is provided from an output side of the first flow rate controller to an input side of the second flow rate controller.

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 distributed SCR (Selective Catalytic Reduction) denitration system and an accurate ammonia spraying control method thereof, and relates to the field of flue gas removal. According to the method, a first collection point, a second collection point and a third collection point are arranged in the distributed SCR denitration system; a thermocouple array, a differential pressure sensor and a flow velocity sensor are respectively arranged at a top airflow inlet, a middle catalyst channel area and a bottom smoke outlet of the catalyst module, so that a disturbance acquisition system covering multiple areas of the tower body is formed, and gas temperature original data, differential pressure original data and flow velocity fluctuation original data are acquired. Feature extraction and normalization preprocessing are carried out on original disturbance data in a control platform to form a standardized disturbance ammonia spraying vector set, so that layered disturbance field perception and ammonia spraying fine control support are realized on the structural level, ammonia spraying configuration redundancy or insufficiency caused by local information loss is avoided, the ammonia water utilization efficiency of each module is improved, and the system performance is improved. And the ammonia spraying accuracy of the whole tower is improved.

A vehicle control system and method based on an air flow rate, control introduction of outside air based on an estimated driving current value of a blowing device, obtained through a current model preset based on a calm wind state, and an estimated air flow rate value of an inlet, obtained through an air flow rate model preset based on an outside wind state.

The invention relates to a self-adaptive micro-liquid adding time intelligent optimization method, and belongs to the technical field of industrial process control. The method comprises the following steps: dynamically switching a rotating speed control mode according to a numerical range of an added target quantity, and calculating and outputting a target rotating speed instruction; pipeline pressure is monitored in real time, the pressure state is judged according to a graded pressure threshold system, a graded regulation and control strategy is executed, and a rotating speed fine adjustment instruction is generated; a time adjustment model is constructed based on the residual addition amount and the estimated actual flow, the addition time is dynamically estimated, and replanning of the target time and the rotating speed is triggered when the parameters are abnormal; and after adding is completed every time, operation data are automatically collected, mismatching items of the control parameters and the working conditions are analyzed and recognized through deviation traceability, and the rotating speed control parameters and the pressure regulation and control parameters are updated in a self-adaptive mode. According to the invention, intelligent optimization of the adding process is realized, and the adding precision and the system adaptability are effectively improved.

The utility model provides an oxygen injection control system based on dynamic environment variable compensation, and aims to solve the non-linear problem of oxygen content control under environment variable disturbance. Comprising a main oxygen spraying pipeline, an oxygen supplementing pipeline connected with the main oxygen spraying pipeline in parallel, a PLC (Programmable Logic Controller) and a PID (Proportion Integration Differentiation) controller which are respectively connected with the main oxygen spraying pipeline and the oxygen supplementing pipeline and are used for controlling the main oxygen spraying pipeline and the oxygen supplementing pipeline, and an oxygen content measuring pipeline which is in communication connection with the PID controller, the oxygen control system selectively controls the main oxygen spraying pipeline and / or the oxygen supplementing pipeline to be opened or closed.

The invention discloses a pipe network flow closed-loop regulation-oriented double-body valve coordination control system and method, and relates to the technical field of data acquisition control. The double-body valve coordination control system and method for pipe network flow closed-loop regulation comprises the following steps that S1, a double-body valve data set is collected to be subjected to segmented scaling normalization processing; s2, fragmented recombination and time sequence consistency screening are carried out, and quality scoring is carried out; s3, a double-body valve adjusting instruction is generated for combined control, and a control strategy state is output; and S4, establishing an associated index for each sampling time slice, and performing integrated version archiving and playback recalculation. The synchronization, stability and traceable operation and maintenance capability of cooperative closed-loop adjustment of the double-body valve are effectively improved, and the problems of asynchronization and mutual interference in cooperative control of the double-body valve are solved.

An inflation control system for an inflatable may comprise a compressed fluid source, a valve module, a temperature sensor, and a controller. The valve module is connected to the compressed fluid source and configured to control a flow of gas to the inflatable. The temperature sensor measures an ambient temperature and outputs the ambient temperature measurement. The controller is operably coupled to the valve module and configured to receive the ambient temperature measurement and determine an open-valve time based on the ambient temperature measurement, the open-valve time being a duration of time the valve module is in an open position.

The invention relates to the technical field of cleaning fluid flow control, in particular to a wine fermentation valve array cleaning fluid flow control method and system, and the method comprises the following steps: building a corresponding relation among a cleaning pump operation parameter, a regulating valve opening parameter and a cleaning fluid flow, and calculating a cleaning fluid flow reference value; performing consistency evaluation on the cleaning fluid flow measurement signal, the cleaning fluid flow reference value and the pipeline pressure parameter, and when the deviation between the cleaning fluid flow measurement signal and the cleaning fluid flow reference value exceeds a preset flow deviation threshold value, and the adjusting valve opening parameter or the pipeline pressure parameter exceeds a preset threshold value range, determining the consistency of the cleaning fluid flow measurement signal and the cleaning fluid flow reference value. Determining that the cleaning fluid flow measurement signal is not credible; when it is judged that the cleaning fluid flow measurement signal is not credible, the control mode is switched, and in the switched control mode, cleaning fluid flow control is conducted according to the cleaning fluid flow reference value; and issuing a maintenance alarm. The detection accuracy can be improved.

The invention discloses a real-time monitoring data control method for adsorption separation and an adsorption separation device, and relates to the technical field of adsorption and analysis regulation and control. The method comprises the following steps: setting a first cleanliness threshold value of finished gas and a second cleanliness threshold value of desorption gas; according to the current state of the first cleanliness and the current state of the second cleanliness, the regeneration medium flow of the analysis process is dynamically adjusted; or when the first cleanliness reaches the first cleanliness threshold value and the second cleanliness reaches the second cleanliness threshold value, the current adsorption process is ended, and the working mode is switched; if the second cleanliness does not reach the threshold value, the regeneration medium flow is increased until the switching condition is met. Saturation regulation is carried out by monitoring the dual states of the finished gas and the desorption gas in real time, actual working condition fluctuation can be responded in a self-adaptive mode, the quality stability of the finished gas is guaranteed, meanwhile, the problem that regeneration is insufficient or regeneration media are excessively consumed is solved, and operation energy consumption is remarkably reduced.

The invention provides a high-precision flow control system and a high-precision flow control method aiming at the gas flow control problem of silicon nitride film deposition in a semiconductor manufacturing process. In terms of the system, three gas inlet pipes convey different gases, and the explosion risk is reduced through graded mixing of a three-way pipe; the T-shaped design of the second three-way pipe utilizes gravity to assist mixing; each air inlet pipe is provided with a valve and a sensor to provide comprehensive data support; the mixer is specially designed to fully mix gas; a specific gas flow gradient is matched with a multi-stage mixing process to realize accurate control of a stoichiometric ratio; and high-precision data is provided by a specific angle of the laser detector and an advanced detection technology. The method comprises the steps of gas pipeline distribution conveying and premixing, multi-parameter fusion measurement, self-adaptive control, dynamic calibration, mixer optimization and output and the like. The silicon nitride thin film deposition quality is improved, the system safety and the flow control precision are improved, and the production cost and the safety risk are reduced.

Variable Orifice Plate technology represents new physics for measuring fluids accurately over a dynamic range and obsoletes fixed orifice plates. Therefore, a new balancing procedure using an updated correction factor is needed to mitigate and calibrate for field systems effects. Architectures are provided that can leverage correction factor values (CFVs) that are determined from a third party device such as a TAB contractor in order to determine other CFVs for a fluid flow with a variable aperture. The fluid flow device can change state, which changes the area of the variable aperture and, accordingly, the fluid flow profile. Multiple CFVs can be determined from TAB measurements taken while the fluid flow device is in respective different states, while other CFVs for different states can be determined as a function of the known CFVs and associated states or other suitable data such as damper position, aperture area, or the like.

The invention discloses a beer gas stripping hop adding control method and device based on parameter self-adjustment, and relates to the technical field of self-adaptive control systems. The beer gas stripping hop adding control method based on parameter self-adjustment comprises the following steps: converting a beer gas stripping signal; identifying a carbon dioxide flow state; carbon dioxide flow regulation and control. Whether signal monitoring parameter optimization is carried out or not is judged according to the effectiveness analysis result of the current signal conversion process, then flow state recognition accuracy analysis is carried out to judge whether flow abnormity correction is carried out or not, and finally flow adjustment stability analysis is carried out to judge whether flow valve compensation optimization is carried out or not. The effect of improving timeliness of carbon dioxide flow adjustment imbalance corresponding to the beer gas stripping hops adding control process is achieved, and the problem that in the prior art, due to the fact that carbon dioxide flow adjustment imbalance corresponding to the beer gas stripping hops adding control process is achieved, the accuracy of evaluation of the hops aroma absorptivity by beer is not high is solved.

A flow control arrangement is provided including a housing seating inlet and outlet conduits is provided. An isolation valve is arranged within the housing and is fluidly coupled to the inlet conduit. A first flow switch with a first shutoff trigger is arranged within the housing and fluidly couples the isolation valve to the outlet conduit. A second flow switch with a second shutoff trigger is arranged outside of the housing and is fluidly separated from the first flow switch. A controller operably connects the first and second flow switches to the isolation valve to close the isolation valve when (a) flow rate of a first fluid traversing the first flow switch is greater than the first shutoff trigger, or (b) flow rate of a second fluid traversing the second flow switch is less than the second shutoff trigger. Semiconductor processing systems and flow control methods are also described.

The invention provides an automatic dosing adjustment method, device and system and a storage medium, and relates to the technical field of automatic control. The automatic dosing adjusting device comprises a flow measuring barrel, a processor, an automatic adjusting valve, a pneumatic pipe clamp valve and a liquid level sensor; the flow measuring barrel is connected in series to the downstream of the automatic regulating valve; the pneumatic pipe clamp valve is connected to the downstream of the flow measuring barrel in series. According to the structure, through an indirect metering mode of the flow measuring barrel and an unobstructed channel of the pneumatic pipe clamp valve, the problem of core blockage of a traditional dosing system in measurement and control points is integrally solved. The high-reliability hardware is integrated into a closed-loop automatic control system by a processor, and an automatic regulating valve can be instructed to perform precise regulation according to real-time and accurate flow data, so that stable and accurate automatic dosing is realized, and the system reliability and the medicament utilization efficiency are remarkably improved.

An agricultural machine includes a chassis, a product tank containing a fluid, and a fluid distribution system in fluid communication with the product tank. The fluid distribution system includes at least one fluid outlet line configured to deliver a fluid to an agricultural field, at least one pulse width modulation valve in fluid communication with the at least one fluid outlet line, and at least one pressure sensor upstream of the at least one pulse width modulation valve, the at least one pressure sensor configured to measure a fluid pressure proximate the at least one pulse width modulation valve. The agricultural machine further includes a monitoring system configured to determine at least one of a duty cycle or a modulation frequency of the at least one pulse width modulation valve based on the fluid pressure. Related methods and monitoring systems are also disclosed.

The invention provides a method and a system for accurately regulating and controlling waste gas denitration air quantity of a glass melting furnace. According to the method, an ultrasonic Doppler sensor group is arranged around a glass melting furnace flue, ultrasonic beams are synchronously emitted to collect flow velocity pulsation data required by exhaust gas denitration air volume, time sequence waveforms are decomposed to generate multi-dimensional frequency characteristics, and the multi-dimensional frequency characteristics are aggregated into a multi-dimensional flow velocity vector representing a flow field state; vector deviation is synchronously corrected through space coordinate alignment and a time sequence, and difference variable quantity is extracted and fused to generate a flow field thermodynamic diagram; establishing a time-space correlation model of the multi-dimensional flow velocity vector and the thermodynamic diagram, predicting an air volume adjusting threshold value meeting the denitration requirement, and converting the air volume adjusting threshold value into a fan rotating speed control signal to drive an execution mechanism; and according to waste gas pulsation response data caused by fan rotating speed change and thermodynamic diagram updating frequency relevance, multi-dimensional flow velocity vectors are dynamically adjusted to form closed-loop regulation and control. According to the application, the dynamic demand of the denitration air volume and the millisecond-level closed-loop response executed by the fan are realized, the flue gas purification efficiency is improved, and the energy consumption is reduced.

The invention relates to the field of intelligent water affairs, and discloses a precise flow control system for intelligent water affairs, which comprises the steps of collecting local water flow change data in real time, extracting flow velocity disturbance characteristics and pipe network transient pressure response, and judging whether unexpected disturbance trigger exists or not; constructing a local disturbance label library based on disturbance trigger source features and a historical operation model, and identifying disturbance sources and flow direction tendentiousness by using fuzzy discrimination and variable weight filtering algorithms; according to the pipe section hydraulic characteristics corresponding to the mismatching behavior, the flow of the target pipe section is corrected through a high-resolution electric proportional valve set and a two-way feedback control unit; constructing a cross-section response chain through the intelligent edge control node, and generating a multivariable adjustment gradient according to the multi-period callback simulation data; flow state data and peripheral environment variables before and after the current round of regulation and control intervention are collected, and system model parameters are dynamically corrected through the integrated evolutionary prediction network. The stability of the intelligent water affair system is improved.

The invention discloses an aeration rate control method, device, equipment and product for sewage treatment, and the method comprises the steps: obtaining a predicted aeration efficiency value at the current time through a neural network model; determining a current required aeration rate value for removing unit ammonia nitrogen; and finally calculating an actual aeration rate value. According to the aeration rate control method, device, equipment and product for sewage treatment disclosed by the invention, rapid reaction can be carried out according to the actual change condition in the region in the aerobic tank corresponding to aeration, the aeration rate value in the region can be immediately adjusted, and the aeration rate control method, device, equipment and product have the advantages of high aeration rate control reaction speed and high aeration rate control precision; the sewage treatment efficiency and quality are effectively improved.

To provide a structure for easily arranging a control board in a flow rate ratio control device.SOLUTION: The fluid control device includes a plurality of fluid control devices 2 in which a fluid sensor 22 and a fluid control valve 23 are provided in a flow passage block 21, and a control board 4 for controlling the plurality of fluid control devices 2, and the control board 4 is erected on an upper surface of the flow passage block 21 along an arrangement direction of the plurality of fluid control devices 2.SELECTED DRAWING: Figure 1

A controller for a fluid treatment control valve having a valve body with a seal stack positioned therein is provided. The controller includes a front housing, a rear housing removably connected to the front housing to define a substantially enclosed volume, a gear box mounted within the substantially enclosed volume, and a circuit board assembly mounted within the substantially enclosed volume. The rear housing includes a first pair of retention elements configured to mate with a corresponding second pair of retention elements on the valve body to mount the controller to the valve body.

The invention discloses an anti-locked-rotor control system and method for tunneling equipment based on a dynamic flow threshold value and multi-stage linkage, relates to the technical field of mining machinery automation control, and solves the technical problem of improving locked-rotor prevention and disposal collaboration through multi-stage linkage control. On the basis of the coal rock hardness parameter library and the real-time flow change rate, the correlation between the hardness and the reference flow is fitted through the piecewise function, the real-time coal rock hardness is reversely deduced in combination with the deviation rate, the correction coefficient and the alarm threshold value are dynamically adjusted, the complex working conditions of shale, sandstone and transition lithology can be precisely adapted, and the real-time flow change rate is obtained. A correlation model of star wheel flow and first-conveying / second-conveying speed is established, real-time matching of the conveying speed and material input is achieved through PID dynamic adjustment, meanwhile, first-conveying / second-conveying speed reduction is synchronously triggered when star wheel second-level alarming is conducted, a star wheel-conveyor collaborative anti-locked-rotor mechanism is formed, the material accumulation rate is reduced, and through graded alarming and acousto-optic prompting, the anti-locked-rotor performance of the conveyor is improved. The manual intervention threshold is reduced.

According to the flow control system and method for the filter element flow resistance performance test provided by the invention, the self-adaptive PID control closed loop taking the real-time flow resistance coefficient as the core feedback quantity is constructed, and the high-precision sensing network and the intelligent decision algorithm are integrated; the defect that traditional manual or simple PID control is difficult to adapt to filter element characteristic change and environmental interference is successfully overcome; specifically, the system dynamically collects flow, pressure difference and temperature signals and calculates the flow resistance coefficient of a filter element in real time, PID control parameters (proportion, integration and differential terms) are adjusted in a self-adaptive mode according to the flow resistance coefficient, meanwhile, the reference value of a sensor is periodically calibrated so as to eliminate drift errors, and an electric control valve is driven to rapidly and accurately respond; according to the method, the dynamic stability and static precision of flow control are remarkably improved, multi-source interference such as pipeline pressure pulsation and fluid temperature change is effectively compensated, the steady-state error of the test flow is greatly reduced, and finally the efficient and high-precision automatic test of the flow resistance performance of the filter element is achieved.

The invention relates to the technical field of river flow monitoring, and discloses a river flow control method and system based on image measurement. The method comprises the following steps: setting a space calibration point through a range finder, establishing a coordinate system, collecting a river image and carrying out geometric correction, calculating a water surface flow velocity by using an optical flow algorithm, calculating a sectional area by combining a water level and riverbed data, calculating an instantaneous flow rate after converting the surface flow rate into a vertical average flow rate, and generating control information according to an ecological flow rate condition. And controlling the opening degree of the water gate, the angle of the guide plate and the submerged adjusting dam according to the control information. According to the method, continuous and accurate measurement and calculation of the monitored section flow are realized based on an image acquisition means, a control mechanism linked with an ecological water demand threshold value is established, and the measurement process is ensured to be completed under a non-contact and remote control condition, so that the method is used for automation, intellectualization and ecological adaptability of water flow control of a dam.

A computer-implemented method includes obtaining plant steam data regarding a plurality of steam traps of an industrial plant implementing a steam distribution network during operation of the industrial plant. A database is developed using the plant steam data and used to develop a mathematical correlation that describes a condensation removal rate as a function of parameters including a type of steam trap, temperature, pressure, and a steam volumetric flow rate. A digital twin of the steam distribution network is developed using a machine-learning model and the mathematical correlation, where the digital twin represents all steam straps of the steam distribution network. During operation of the industrial plant, a trap condition of a steam trap of the digital twin is estimated based on a set of plant steam data regarding the plurality of steam traps of the industrial plant.

The embodiment of the invention provides a riverway dredging flow control method and system, and relates to the technical field of riverway dredging flow control, the method comprises the steps that operation data of a riverway dredging system are collected, and the operation data comprise a flow meter feedback value, mud pump operation parameters, pipeline pressure, valve opening and mud concentration; based on the operation data, the abnormal types of the river dredging system are recognized, and the abnormal types comprise flowmeter measurement errors, valve mechanical response hysteresis and slurry rheological characteristic anomalies; and adjusting a control strategy according to the exception type. The river dredging operation efficiency, the equipment safety and the environmental protection level can be improved.