2408 results about "Valve opening" patented technology

The invention relates to the technical field of air conditioner chilled water control, in particular to an air conditioner chilled water control method and system based on deep learning, and the method comprises the following steps: collecting states of an air conditioner water chilling unit, including water pump frequency and valve opening feedback, and pipe network water supply temperature, return water temperature, flow and differential pressure operation readings; according to the method, the state parameters of the water chilling unit are dynamically collected, the system operation state feature set is constructed, real-time fusion and standardization processing of multi-source heterogeneous data are achieved, the problem of time sequence dislocation caused by sensor sampling frequency differences is solved, the heat load change key input quantity is recognized based on the feature set, and the system operation state feature set is established. And the performance attenuation trend of the water pump is accurately pre-judged in combination with prediction calculation, and extra energy consumption caused by lagging adjustment is reduced. A layered optimization framework with total energy consumption minimization as a target is introduced, water supply temperature, pressure difference setting and unit operation combination are decoupled into independent optimization sub-problems, and invalid work of a water pump is reduced on the premise that the tail end heat requirement is met.

The invention discloses an accurate flow control method and system for a two-phase cold plate cooling data center, and relates to the technical field of two-phase cold plate cooling, and the method comprises the following steps: S1, collecting multi-mode operation monitoring data in real time, and carrying out the data preprocessing; s2, constructing a multivariable short-time-sequence prediction model, predicting the cooling demand, and performing optimization regulation and control on a cooling demand prediction result; s3, the target regulation and control flow of the cooling liquid is predicted, and flow and cooling execution measures are taken according to the target regulation and control flow prediction result; the opening degree of the valve is accurately adjusted and evaluated in real time, and accurate flow control is achieved; s4, integrating multi-mode operation monitoring data, a cooling demand prediction result, a target regulation and control flow prediction result and a valve opening accurate regulation evaluation result, and constructing a parameter optimization and safety fault-tolerant mechanism; the problems of chip safety and energy consumption risks caused by cold plate temperature overshoot and cooling capacity regulation lag under high-load fluctuation of the server are solved.

The invention relates to the technical field of fault diagnosis of industrial cooling equipment, and discloses a fault diagnosis early warning method and system for double bypass valves of an industrial cooler. According to the method, a state feature vector is constructed by obtaining real-time operation parameters, dynamic time sequence analysis is carried out on the state feature vector to calculate a sliding entropy value and a Lyapunov index, state evolution trend features are determined, a fault feature index is calculated in combination with the valve opening degree and a control signal deviation value, and an early warning threshold value is determined based on historical data distribution variance. And when the index exceeds a threshold value, determining a fault type and outputting early warning information. The potential fault of the bypass valve can be predicted in advance, the false alarm rate is reduced, and the diagnosis precision is improved.

The invention discloses a cold plate-immersion liquid cooling cooperative heat dissipation method based on steam zone coupling modeling, and relates to the technical field of cooperative heat dissipation. Comprising the following steps of S1, collecting collaborative heat dissipation monitoring data of each key position in real time, and performing data preprocessing; s2, the comprehensive risk of the steam area is judged, and a risk cooling adjustment instruction is issued according to the comprehensive risk judgment result; s3, receiving a risk cooling adjustment instruction, carrying out collaborative heat dissipation, evaluating the collaborative heat dissipation capability, adjusting the rotating speed of a circulating pump and the opening degree of a valve, and requesting condensation backflow adjustment; s4, judging the adjusting quantity of condensation reflux, executing reflux adjustment and performing safety monitoring; and S5, continuously monitoring the data of each link, and carrying out anomaly detection on the state of each link to realize anomaly regulation and control. The problems that in an existing single-phase cold plate or two-phase immersion liquid cooling mode, steam accumulation is prone to occurring in a high-heat-flow scene, so that the pressure intensity is increased, the boiling point is increased, and the heat exchange efficiency is reduced, and then the operation reliability of equipment is affected are solved.

The invention discloses an automatic batching and stirring control system based on an industrial computer, belongs to the field of new wall material production control systems, and aims to solve the problems that the real-time performance is poor, and the influence of raw material characteristic changes on a fall value cannot be pre-judged. Weighing, humidity, infrared flow velocity, temperature, pressure, torque and airflow sensors are integrated, multi-dimensional parameters such as material weight, flow velocity, humidity and air pressure in a bin are monitored in real time, the influence of environmental interference on the sensors is dynamically compensated through multi-parameter collaborative feedback, the real-time performance and reliability of data acquisition are improved, a fuzzy PID control algorithm and a machine learning model are fused, and the real-time performance of the system is improved. A nonlinear mapping relation is established through a training data set, the initial valve opening degree and the fall value are predicted, errors are corrected in real time, dependence on historical data is reduced, the first-time use error of a new formula is reduced, the response time for coping with sudden environment changes is shortened, a single adjustable-caliber electromagnetic valve is adopted, the inner wall is coated with a nano anti-sticking coating, and the service life of the valve is prolonged. And the opening degree is dynamically adjusted in combination with a PID algorithm.

The invention provides a split type direct-current charging pile liquid cooling heat dissipation system, and belongs to the technical field of direct-current charging piles, a closed liquid cooling circulation system is constructed through equipment such as a liquid cooling circulation pump, a radiator assembly and a temperature sensor array, and active temperature control is realized by adopting a temperature pre-adjusting module as a core. The system firstly collects power and temperature data to establish a power heat effect function to describe a power-temperature relationship, and extracts temperature time sequence characteristics through a heat situation sensing model by adopting an improved time sequence convolutional network to configure a self-adaptive receptive field adjustment mechanism to capture different time scale change modes; and constructing a double-layer optimization framework in combination with a temperature control game model to solve a Nash equilibrium solution, and calculating an optimal cooling adjustment vector including advanced cooling time and cooling power parameters. And a change curve is generated through real-time monitoring and dynamic correction and is converted into a control instruction, the frequency converter is controlled to adjust the rotating speed of the circulating pump and the opening of the flow valve, and advanced adjustment before temperature change is achieved to eliminate response lag.

The invention provides a fused salt heat storage coupled compressed air energy storage cooperative power generation system and a control method thereof.The fused salt heat storage coupled compressed air energy storage cooperative power generation system comprises a data acquisition module, a multi-target optimization decision algorithm based on dynamic programming, an energy distribution module, a dynamic adjustment module and a safety protection module; a multi-objective optimization decision algorithm based on dynamic programming automatically switches system working modes, an energy distribution module optimizes fused salt and air flow of a high-temperature fused salt air heat exchanger, and a dynamic adjusting module adjusts fused salt pump flow, compressor rotating speed and valve opening in real time. And the safety protection module is used for monitoring and preventing over-temperature, fused salt solidification and pipeline corrosion. The problems that in the prior art, a fused salt heat storage type photo-thermal power generation system is insufficient in heat storage capacity under the extreme weather condition, a compressed air energy storage system depends on fossil fuel, the afterburning efficiency is low, and the energy loss is caused due to the low system coupling degree can be effectively solved.

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 provides a small-capacity air bag blood pressure detection system and a precise pressure control method thereof. A micro air pump is communicated with an air inlet of a small-capacity air bag through a pipeline, and a linear proportional valve is arranged on an air release opening of the small-capacity air bag and used for controlling the opening, closing and flow of the air release opening of the small-capacity air bag; the miniature air pump is normally opened and provides stable-flow input air flow for the small-capacity air bag, the valve opening degree of the linear proportional valve is changed by executing a self-adaptive differential constant-pressure control algorithm, then the air release speed of an air release opening of the small-capacity air bag is changed, and pressure adjustment of the small-capacity air bag is achieved by changing the difference between the inflation speed and the deflation speed. According to the invention, rapid pressure stabilization can be realized, and pressure overshoot is hardly generated after the pressure is stabilized; the pressure control precision of 1mmHg at any pressure regulation step length is realized; the problem that the traditional single-parameter closed-loop control cannot meet the precise control of each pressure interval is solved; the production cost is further reduced, and the out-of-hospital scene adaptability and the popularization degree of the equipment are improved.

The invention relates to the technical field of intelligent control of filters, and discloses an intelligent control method for a self-cleaning filter based on sensing of the Internet of Things. The method comprises the following steps: collecting multi-source sensing data such as inlet and outlet water pressure difference, flow fluctuation frequency, turbidity change rate and vibration spectrum characteristics when the filter runs; performing hierarchical clustering on the data according to a preset blockage level threshold value, and generating a blockage feature matrix with a timestamp; the matrix dynamic state is monitored in real time, and when the turbidity change rate and the covariance of the vibration spectrum characteristics exceed a dynamic threshold value, self-adaptive cleaning strategy switching is triggered; in combination with the time-space matching degree of a historical cleaning period and a current matrix, decomposing sub-feature sets of high-frequency blockage and low-frequency deposition modes, and correcting the weight of the high-frequency sub-feature sets through cross validation of fluid dynamics and mechanical wear parameters; and finally, a preferential cleaning area is reversely positioned along the structural topological graph of the filter, a three-dimensional cleaning path instruction is generated, and the opening degree of a blow-down valve is synchronously adjusted, so that the control and operation performance of the filter is optimized.

The invention relates to the field of control systems, and discloses a vent valve control system with a pressure regulation function for a generator set, which is used for breaking through the limitation of static state, single target and passive response of a traditional vent valve control method. Comprising the following steps: acquiring pressure, flow velocity and valve opening data of a ventilation system in real time, generating a dimensionless parameter set for dynamic calibration, integrating parameter uncertainty disturbance terms to form a hybrid prediction model, solving an optimal valve opening instruction sequence by adopting a multi-target robust optimization algorithm, and designing a layered safety control mechanism. The system safety is guaranteed through dual-threshold monitoring and emergency intervention, redundant sensor data fusion and parameter reverse optimization are introduced, and fault tolerance and model self-adaption are achieved. According to the method, through collaborative innovation of dynamic modeling, robust optimization and intelligent fault tolerance, the control precision, the anti-interference capability, the safety and the reliability of the ventilation system of the generator set are remarkably improved, and the method is suitable for complex and changeable industrial operation scenes.

The invention relates to the technical field of boiler control, and discloses a gas-fired boiler starting control method and system. The method comprises the following steps: acquiring initial operation parameters such as hearth pressure, water inlet temperature, flue gas oxygen content and fuel valve opening of the gas-fired boiler, establishing a thermodynamic state model in a starting stage according to the initial operation parameters, and dividing dynamic response thresholds of different load intervals; and calculating a theoretical fuel supply rate of the combustor based on the model, generating and dynamically updating a fuel supply correction coefficient in combination with a threshold value, synchronously marking key nodes according to abnormal distribution of hearth temperature, and adjusting a spatial air distribution strategy of the combustor. And after the correction coefficient is subjected to multi-stage buffer smoothing, a fuel control instruction is output to an executing mechanism. And switching to steady state control after the boiler reaches the preset load. The method adapts to the characteristics of a power plant unit, so that the starting process is more stable, the damage to a heated surface and pollutant emission are reduced, and rapid grid connection is assisted.

The invention provides a multivariable decoupling control method and system for an air inlet system of a high-altitude simulation cabin, and the method comprises the steps: firstly building a precombustion chamber cavity thermodynamic differential equation, and building a state equation in combination with a regulating valve first-order inertia model and an engine model; constructing a decoupling matrix by using a differential flatness theory, and converting a pressure and temperature coupling system into an independent control channel; monitoring a system state in real time by using an extended state observer, uniformly estimating internal and external disturbances as total disturbances, and generating a compensation signal; the model prediction controller performs rolling optimization on future time domain control quantity according to deviation between a set value and an actual value, generates an initial instruction in combination with the compensation signal, and converts the initial instruction into an independent valve control signal through a decoupling matrix; the high / low-temperature airflow mass flow is controlled through the opening degree of the adjusting valve, the engine model outputs actual parameters to form closed-loop feedback, and the controller updates the control quantity in each cycle. The multi-variable strong coupling, the dynamic disturbance and the model uncertainty are effectively overcome, the control precision and the parameter robustness are both achieved, and the complex working condition requirements are met.

The invention belongs to the technical field of water supply network adjustment, and particularly relates to a water supply network pressure and flow adjusting method. The method comprises the following steps: firstly, collecting pressure, flow and water temperature data of a monitoring node at present and in a preset time period, wherein the preset time period is set according to a water consumption period; preprocessing flow data through a sliding window method and fitting a curve, and marking an instantaneous disturbance time period; the dynamic response coefficient of each disturbance time period is calculated, and water temperature correction is needed; combining the flow standard score, the dynamic response coefficient and the real-time deviation coefficient to obtain a flow dynamic regulation index; a pressure stability index is obtained through pressure and water temperature trend feature vector matching; the two are subjected to weighted fusion to form a pipe network comprehensive regulation factor, and the valve opening and the water pump power are regulated accordingly. The method can accurately identify instantaneous disturbance, improve the adjustment precision and response speed, and guarantee stable water supply.

The invention relates to the technical field of integrated control, in particular to a multi-energy valve integrated control method and system.The multi-energy valve integrated control method comprises the steps that operation records of a multi-energy valve are obtained, the energy supply rate, transmission delay and instantaneous pressure variation in each energy mode are calculated, and the displacement change rate and load torque deviation of a valve executing mechanism are obtained; and calculating an execution synchronization error under the multiple energy modes to obtain a multi-energy mode execution synchronization offset. According to the invention, by calculating the energy supply rate, transmission delay and instantaneous pressure variation in various energy modes and combining the displacement change rate and the load torque deviation of the valve actuating mechanism, the control capability of the execution synchronism of the energy modes is improved, and by combining the execution error brought by energy mode conversion, the trigger advance of a control signal is adjusted, so that the control accuracy of the energy modes is improved. The control signal time sequence is corrected, the coordination of energy scheduling is improved, the valve opening adjusting rate is optimized according to the fluid flow speed and pressure data, transient pressure impact is reduced, and the stability of the system is improved.

The invention discloses a deep learning-based valve opening and closing state recognition and diagnosis method, which comprises the following steps of: acquiring and synchronizing multi-source signals, and generating a standardized multi-mode time sequence sample; extracting modal features by multiple branches and fusing the modal features into a joint feature vector sequence; the combined features are input into a phase change layered decoder, and a layered recognition result is output; constructing a plurality of types of abnormal events in a point process layer modeling phase change stage, and outputting an event modeling result; constructing a condition reversible generation diagnostor, and outputting a consistency checking result; and fusing a result output state and diagnosis information, and executing alarming and filing. Through multi-mode deep learning feature fusion, phase change hierarchical decoding and conditional modeling, accurate recognition of the opening and closing state of the valve, fine division of the phase change stage and intelligent diagnosis of early faults are achieved.

The invention discloses a reverse anti-blocking check valve, and relates to the technical field of valve bodies, the reverse anti-blocking check valve comprises a check valve body, and an expansion part is arranged on the surface of a valve plate, facing the fluid direction, of the check valve body; the expansion component comprises a bearing column fixed to the center axis of the surface of the valve plate, and a limiting ring is fixed to the axial top end of the bearing column. The expansion part is arranged on the incident flow side of the valve plate, the dynamic response function in the valve opening and closing process is achieved, when fluid is impacted in the forward direction, the expansion part is unfolded under the fluid pressure effect, the contact arc plate is automatically attached to the inner wall of a pipeline, an auxiliary sealing ring is formed, and the sealing performance is effectively improved; when the fluid pressure is weakened, the expansion component retracts by means of the spring, so that the contact arc plate is separated from the inner wall of the pipeline and generates relative motion, the cleaning effect similar to that of a scraper is achieved, dirt attached to the pipe wall and the surface of a key structure can be effectively peeled off, and the self-cleaning capacity and the anti-blocking effect of the valve are improved.

The invention discloses a valve state monitoring and safety interlocking method based on machine vision, and belongs to the technical field of industrial process control and safety. The method comprises the following steps: 1, calibrating a camera and establishing a model; step 2, image acquisition and preprocessing; step 3, key image feature extraction and state decision; fourthly, opening degree calculation and state judgment are carried out; 5, safety interlocking is triggered; and 6, feeding back data. The valve state monitoring and safety interlocking method is achieved through the valve state monitoring and safety interlocking system. According to the invention, the millimeter-level or even submillimeter-level displacement and angle real-time accurate measurement of the opening degree of the valve can be realized, the state monitoring of the valve is realized, and the stability and reliability in the production process are improved; state judgment is carried out by comparing the real-time opening value with the instruction opening from the control system, a safety interlocking signal is generated and transmitted to the safety interlocking system, and finally physical safety action is triggered, so that a set of complete safety protection system is realized, and accidents are avoided.

The invention discloses a feed pump closed-loop energy recovery system based on recirculation branch excess pressure driving, and relates to the technical field of energy recovery of a thermal power generating unit water supply system, a modular energy recovery assembly comprises a tandem type wide-area hydraulic turbine set which is formed by connecting a high-pressure micro-flow hydraulic turbine and a low-pressure large-flow hydraulic turbine in series, and the high-pressure micro-flow hydraulic turbine and the low-pressure large-flow hydraulic turbine are connected in series. Intelligent switching or cooperative work is carried out according to working condition requirements; the digital twinning intelligent control core comprises a prediction engine and a decision engine, the prediction engine identifies an operation mode through a behavior embedding vector and predicts a future state sequence, and the decision engine generates an optimal control instruction sequence through a strategy network subjected to optimal transmission theory regularization training. The system achieves cooperative control of the rotating speed of the water feeding pump and the opening degree of the recirculation valve by executing a control instruction, and triple closed-loop control of a data closed loop, an energy closed loop and a control closed loop is formed. The energy recovery efficiency is improved, the robustness of a control strategy is enhanced, and predictive maintenance is realized.

The invention relates to the technical field of self-adaptive pipe network dynamic hydraulic balance online optimization, and discloses a self-adaptive pipe network dynamic hydraulic balance online optimization method. By constructing a node-pipeline topology model and defining a control variable and a threshold value, data input standardization is realized; the opening degree and flow of the valve are collected in real time, a hydraulic impedance and spectrum matrix is constructed, and the dynamic working condition is accurately reflected; decomposing the spectrum matrix, extracting global and local oscillation mode features, and endowing differentiated weights for adjustment; a residual error is calculated based on the water demand and the flow, a tolerance threshold and projection verification are set, and subsequent operation is triggered only during real unbalance; the opening adjustment direction is determined according to spectral analysis and sensitivity evaluation, and blind movement is avoided; the optimal step length is analyzed and solved, amplitude limiting is carried out, and convergence speed and impact suppression are both considered; the valve opening is updated according to branches and issued in a closed loop mode, continuous online optimization and automatic control are achieved, and the real-time performance, the stability and the intelligent level of a pipe network are remarkably improved.

The invention provides an anti-surge control method. The anti-surge control method comprises the following steps: acquiring historical data of a surge point; inputting the historical data of the surge points into the to-be-trained model to obtain an anti-surge model; based on the anti-surge model, determining an anti-surge line of the fan; the anti-surge line is generated by translating the abscissa of the surge line of the fan in the anti-surge coordinate system rightwards by a first preset unit and translating the ordinate downwards by the first preset unit; the real-time fan inlet flow and the real-time fan total energy head of the fan are obtained, and the real-time working condition point of the fan is determined; whether the real-time working condition point is located below an anti-surge line or not is judged, and if not, the opening degree of an anti-surge valve is adjusted to 100%; if yes, the anti-surge opening degree and the anti-surge valve opening time are determined based on the real-time working condition point, the anti-surge valve is opened according to the anti-surge valve opening time, the anti-surge valve is controlled to operate at the anti-surge opening degree, and the problem that the position area where the working condition point of the draught fan is located cannot be accurately and automatically adjusted at present is solved.

The invention belongs to the technical field of parameter identification, and provides a thermal power generating unit electro-hydraulic servo system PID parameter identification method and system, and the method comprises the steps: obtaining the historical operation data of a steam turbine, carrying out the preliminary screening of the data, and constructing a parameter identification data set; according to the mean square error between the actual value and the calculated value of the opening degree of the valve, an objective function of PID parameter identification of the DEH electro-hydraulic servo system is established; setting population initial parameters, and generating a chaotic initial population; based on a parameter identification data set and a target function, introducing an initial population value of the generated chaotic initial population into an improved Bayesian optimization model, and obtaining a preliminary optimization result through Gaussian modeling and kernel function prediction; and taking the preliminary optimization result as input, and utilizing a whale optimization algorithm introducing a Levy flight disturbance mechanism to carry out iterative search for multiple times to obtain a final optimization result. According to the invention, the parameter identification precision and robustness are improved.

The invention discloses an air conditioner control method and device, a storage medium and an air conditioner, and relates to the technical field of air conditioners, the air conditioner comprises an air distribution device and a plurality of air outlets, air volume adjusting valves are arranged on communicating pipelines between the air distribution device and the air outlets correspondingly, and the multiple air outlets are formed in multiple areas correspondingly; the air conditioner control method comprises the steps that the air speed of each air outlet is received; according to the air speed of each air outlet, the opening degree of each air outlet is adjusted, so that the air speed of each air outlet is within a preset range; receiving the area environment temperature of each area, and calculating the temperature average value of the area environment temperatures of the plurality of areas; and according to the temperature difference between the area environment temperature of each area and the temperature average value, the valve opening degree of each air volume adjusting valve is adjusted, so that the temperature difference is located in a target temperature range. According to the invention, multi-area temperature-balanced air supply can be reliably realized, and the user experience is improved.

The invention provides a pressure control system of an MOCVD (Metal Organic Chemical Vapor Deposition) reaction cavity and MOCVD epitaxial equipment, and the system comprises a cavity in which a reaction cavity is defined; the exhaust pipeline is communicated with the reaction cavity; the first pressure gauge is fixed on the cavity body, and the first pressure gauge is used for detecting the gas pressure in the reaction cavity; the exhaust valve is configured to control the exhaust flow through the opening degree of the valve; the vacuum pump is used for extracting gas in the reaction cavity; the mass flow controller is configured to be capable of detecting and controlling the flow of gas flowing into the reaction cavity; and the controller is configured to control the valve opening degree of the exhaust valve and / or control the gas inlet flow of the mass flow controller according to the gas pressure detected by the first pressure meter. According to the pressure control system of the MOCVD reaction chamber, the first pressure meter, the exhaust valve and the mass flow controller are arranged on the chamber body, and the gas pressure can be adjusted in real time, so that the product quality can be effectively improved.

The invention discloses a flow control method of a gas compressor, which relates to the technical field of flow control of gas compressors, and comprises the following steps of: deploying a sensor in the gas compressor, monitoring various parameters of gas flow in real time, and providing gas flow monitoring data for the whole system; performing preprocessing operation on the original data acquired from the sensor; dividing the gas flow data into a plurality of monitoring windows according to the time length, and for each monitoring window, extracting an index of potential gas reverse flow from the preprocessed data by adopting a feature engineering technology as a feature vector to represent a potential risk of gas flow reverse flow. The air flow parameters are monitored in real time, data preprocessing is carried out, the feature engineering technology and the deep learning model are combined, the potential risk in the air flow is accurately predicted, the rotating speed of the compressor and the opening degree of the air inlet valve are adjusted in time when the risk occurs, and therefore effective control over reverse flowing of the air flow is achieved; and long-term operation of the compressor in a safe and efficient state is ensured.

The invention relates to the technical field of fluid control, and discloses a split type mass flow controller calibration method, system and equipment. According to the method, a control unit, a valve unit, a detection unit and a fluid passage unit are connected through detachable interfaces through a split type modular design, and the problem that a traditional integrated structure is difficult to calibrate and maintain is solved. A flow mapping relation model is established by adopting temperature difference and pressure data, and dynamic correction is performed in combination with an environment temperature compensation coefficient, so that the detection precision is remarkably improved. Through cooperative control of a flow closed loop and a valve element displacement closed loop, precise adjustment of the opening degree of the valve is achieved, and the stability and the dynamic response performance of flow control are effectively improved. The system has the advantages of being flexible in structure, high in calibration precision and high in environmental adaptability, and is suitable for the high-precision flow control field of semiconductors, biological medicine and the like.

The invention relates to the technical field of digital control, and provides a digital prefabricated pump station and a digital control system.Perception data of liquid level height, pressure difference, pump set flow, blockage displacement and pipeline vibration are obtained through a perception judgment module, abnormal working conditions are comprehensively judged, limitation of parameter judgment is overcome, and a reliable basis is provided for follow-up control; the pump-valve cooperation module dynamically adjusts the opening degree of a valve through multiple parameters, optimizes the expansion amount of flexible connection in combination with pipeline vibration and blocking displacement, and cooperatively adjusts the rotating speed of a pump set based on the liquid level height, the flow of the pump set and the blocking displacement, so that linkage control over the pump, the valve and the pipeline is achieved. The energy efficiency optimization module achieves accurate prediction of the liquid level through long and short term memory network processing, optimizes the valve opening degree and the pump set rotating speed by combining a particle swarm optimization algorithm and taking pump efficiency maximization as a target, dynamically generates an optimized pump stopping liquid level, and meanwhile adjusts network parameters through deviation feedback of a predicted value and an optimized value to form a continuously optimized closed loop.

The invention discloses a filter cloth on-line automatic cleaning control method and system for a filter cloth walking type filter press, and relates to the technical field of solid-liquid separation equipment automation control, and the method comprises the following steps: S100, constructing a cleaning control topological structure, grouping filter cloth according to the number of the filter cloth, configuring a corresponding cleaning solenoid valve and a cleaning nozzle for each group, the valve opening sequence table is connected to a cleaning pump through a cleaning pipeline, and meanwhile, a set of valve opening sequence table for all groups is generated. The filter cloth is grouped, the cleaning valves and the nozzles are independently controlled, and real-time parameter calculation and alternate valve opening logic are combined, so that accurate scheduling and balanced distribution of the cleaning area and frequency are realized. Through a walking counting and condition judgment mechanism, cleaning is started according to needs, efficiency is improved, and energy consumption is reduced. A closed-loop control process of setting, judging, executing, alternating and recording is constructed, and the comprehensive technical effects of filter press cleaning rhythm stability, resource optimization, efficiency improvement, equipment service life prolonging and the like are achieved.

The invention relates to the technical field of air compressor optimization, and discloses an intelligent air compressor optimization control method and system based on an IOE control system.The intelligent air compressor optimization control system comprises a collection unit, a preprocessing unit, an analysis unit and an optimization unit, rich operation data such as air inlet pressure, flow, exhaust pressure and temperature are comprehensively collected in real time, denoising is conducted through a moving average method, and data accuracy is ensured; normal, overload and abnormal fluctuation modes are clearly divided, accurate judgment is performed by means of a preset interval and reasonable calculation, and powerful support is provided for control decision making; in a normal mode, intelligent regulation is performed according to a parameter average value, and operation efficiency and stability are improved; the valve opening degree is adjusted according to the deviation degree in the overload mode, the load is effectively reduced, and equipment is protected; in the abnormal fluctuation mode, a PID control algorithm is used, the opening degree, the cooling amount and the like of the valve are flexibly adjusted according to deviation and the change rate, and parameters are rapidly recovered to be stable. The fault rate and the maintenance cost can be greatly reduced, and the working efficiency is remarkably improved.

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.