3681results about "Valve arrangements" patented technology

The invention relates to the technical field of intelligent control, provides a flow regulating valve servo force control method and system based on a force sensor, and aims to solve the technical problems of response delay, weak overshoot suppression capability and poor long-term operation stability. The method comprises the following steps: acquiring a servo driving current data set and a valve displacement track data set of a target regulating valve; performing pressure feature mapping processing on the servo driving current data set to generate a pressure fluctuation feature set corresponding to the driving current waveform data; the pressure fluctuation characteristic set and the valve displacement track data set are input into a preset force control decision model for dynamic matching processing, and a servo control instruction set is generated; executing multi-stage dynamic adjustment operation on a servo driving unit of the target adjusting valve according to the servo control instruction set, and generating real-time pressure balance state data; and iteratively updating the dynamic matching processing parameters of the force control decision model based on the deviation value of the real-time pressure balance state data and the preset pressure reference value.

The invention relates to the technical field of remote monitoring, in particular to a valve state monitoring system based on cloud computing, which comprises a state data acquisition module, a sealing attenuation analysis module, a sudden change point identification module, a leakage anomaly detection module and an anomaly trend early warning module. According to the method, the valve pressure change rate, the periodic flow change trend, the opening and closing torque increment and the micro-pressure change rate in unit time are calculated, quantitative analysis is conducted on the attenuation trend of the sealing performance, the sudden change point types are accurately distinguished in combination with the pressure and flow instantaneous sudden change amplitude, the pressure offset before and after the sudden change points, the flow recovery time and the torque change, and therefore the sealing performance is improved. The method comprises the following steps: comprehensively analyzing a pressure recovery rate, a unit time pressure release rate and a non-zero flow mean value in a closed state after a sudden change point occurs, synchronously calculating a valve leakage trend change rate and a trend offset, comprehensively analyzing an opening and closing torque change condition, determining a leakage trend growth rate, dynamically evaluating a leakage risk level, and determining a valve leakage risk level. And the valve fault prevention capability is enhanced.

The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-assisted valve fault diagnosis system, which comprises a nonlinear fault feature analysis module, an operation pressure anomaly identification module, a structural stress influence evaluation module, a fault influence range judgment module and a valve fault trend speculation module. According to the method, accurate capture of fault features and efficient screening of key feature points are achieved by comprehensively collecting and analyzing vibration signals, opening and closing time sequences, fluid pressure and driving load response, and the accuracy of the fault features is improved by accurately calculating the fluid pressure deviation amplitude and carefully evaluating the stress state of the sealing structure. According to the method, the accuracy of diagnosis and the judgment of the sealing performance are improved, the reliability of fault prediction is enhanced through vibration trend analysis and pressure change monitoring, a scientific basis is provided for preventive maintenance, and the precision of fault diagnosis and the adaptability of the system are remarkably improved through optimization of a data analysis process.

The invention relates to the technical field of fluid valve actuator equipment diagnosis, in particular to a fluid valve actuator monitoring and diagnosing system based on AI intelligence. According to the method, the target opening control instruction is generated through fluid medium characteristic data matching, and accurate regulation and control of the fluid valve are achieved; an opening degree change data set and a torque time sequence data set are captured in real time through a deployed sensor group, multi-dimensional dynamic fluctuation analysis is carried out, and intelligent recognition and screening of fluid valve abnormity are achieved; the medium temperature, the pipeline pressure and the medium flow velocity in the dynamic working condition parameters are substituted into a multiple regression linear model to generate reference torque and opening, and dynamic diagnosis of clamping stagnation abnormity is achieved by combining fusion calculation of a torque fluctuation coefficient and an opening deviation coefficient; through the correlation between the opening degree and the torque time sequence data and the traceability analysis of the current dynamic working condition parameters, the accurate positioning of the abnormal source is realized, and a systematic solution is provided for the state diagnosis and reliability evaluation of the fluid valve actuator.

The invention relates to the technical field of valve opening control, and discloses a valve opening control method for user-side hydraulic balance. The method comprises the following steps: carrying out parameter acquisition on the buried pipe cold storage system to obtain dynamic system parameter data; performing cold load fluctuation spectrum analysis and multi-scale decomposition based on the dynamic system parameter data to obtain a user demand prediction model and a hydraulic balance ideal flow distribution proportion; generating a comprehensive system state evaluation index according to the user demand prediction model and the hydraulic balance ideal flow distribution proportion; constructing a global optimization objective function based on the comprehensive system state evaluation index, and solving to obtain a time-phased valve adjustment strategy; and a valve flow characteristic model is constructed according to the time-phased valve adjusting strategy and the valve historical response data, the target opening degree of each adjusting valve is calculated, and a valve control execution instruction is output. The hydraulic balance strategy can be dynamically adjusted according to different working conditions, and flexible coordination of hydraulic balance and cooling requirements is achieved.

The invention relates to the technical field of regulating valve monitoring, in particular to a regulating valve opening degree monitoring method and system based on image recognition, and the method comprises the following steps: S1, constructing a composite optical mark: machining annular grooves and longitudinal convex ridges which are distributed in a staggered manner on the surface of a valve rod to form a composite mark belt; s2, anti-interference stereo imaging: collecting visible light and short wave infrared images to generate a fusion point cloud set; s3, dynamic shielding compensation: generating a three-dimensional point cloud model of a complete composite marking band; s4, thermal expansion decoupling calculation: visual displacement errors caused by thermal expansion are eliminated; and S5, time-space domain closed-loop calibration: reversely reckoning the opening value by using the structured light three-dimensional coordinate to carry out cross validation. According to the invention, high-precision, high-robustness and verifiability monitoring of the opening degree of the regulating valve is realized, and the measurement stability and engineering applicability under complex working conditions are effectively improved.

A valve timing control device includes: a unit for calculating a target valve timing for one of an intake valve and an exhaust valve in accordance with an operational state; a unit for detecting an actual valve timing of one of the intake valve and the exhaust valve; an actual valve timing control unit for generating a controlled variable for the VVT based on a difference between the target valve timing and the actual valve timing; a unit for learning a learning value of the controlled variable required for maintenance of the actual valve timing based on an integral correction value; and a unit for detecting a malfunction in a VVT from an amount of a shift in the actual valve timing when learning is not completed yet, and for detecting a malfunction in the VVT from the difference when learning is already completed.

The invention relates to the technical field of natural gas pipelines, in particular to a natural gas pipeline intelligent electric valve control system which comprises a flow velocity linkage analysis module, a pressure difference structure analysis module, an energy consumption deviation diagnosis module, an abnormal state recognition module and an opening degree control module. According to the method, a cooperative judgment mechanism based on the flow velocity direction change frequency, the periodic fluctuation structure and the pressure-opening linkage trend is constructed, so that disturbance turning characteristics existing in the gas flow state can be accurately recognized, misjudgment caused by single trend response is avoided, and the accuracy of gas flow is improved. A multi-cycle peak-valley direction difference, structure inversion trend and amplitude stability combined identification mode is introduced in differential pressure monitoring, an asymmetric fracture mode hidden in pressure fluctuation can be clarified, and a synchronous judgment mechanism of the change proportion between torque and current and the relation between the change proportion and the rotating speed is introduced in power consumption detection. And the prediction capability of the energy consumption state in the continuous load evolution process is improved.

The invention discloses an intelligent gas valve remote control and early warning system based on the Internet of Things, and relates to the technical field of valve monitoring. The valve processing module is used for preparing an intelligent valve through 316N stainless steel subjected to grain boundary processing, and a sealing ring, a fiber grating array and a QCM sensor are arranged on the intelligent valve; and the intelligent control module is used for acquiring the strain size of the fiber bragg grating and vulcanized film data through the fiber bragg grating array and the QCM sensor, and determining the lubricant release amount and the current regulation density. Strain of the valve rod is monitored in real time through the fiber bragg grating array, segmented friction force is obtained, and a nano lubricant is automatically released according to the friction force, so that the friction coefficient can be reduced, flexible opening and closing of the valve are ensured, and meanwhile, the surface density change of a vulcanized film is detected through the QCM sensor; and the valve rod is automatically triggered to rotate for self-cleaning or electrolytic polishing treatment, so that corrosion development can be effectively inhibited.

The invention discloses a fuel gas intelligent valve with point type laser methane sensors, and relates to the field of fuel gas intelligent valves, and the fuel gas intelligent valve comprises an equipment installation module which is used for installing three point type laser methane sensors and collecting interface methane concentration values; the data acquisition module is used for acquiring pipeline parameters and environment parameter data inside and outside the interface; the risk assessment module is used for calculating the methane concentration change rate according to the methane concentration value and assessing whether gas leakage exists at each interface; the fuel gas leakage positioning module is used for constructing a fuel gas leakage positioning model based on a neural network and acquiring the probability of the fuel gas leakage risk at each interface; the valve self-adjusting module is used for determining whether the gas leakage point is a leakage point or not according to the gas leakage risk probability; and the historical data analysis module is used for calculating the precision ratio, the recall rate and the F1-Score value by using the historical data and the field actual measurement result. The leakage risk of the gas pipeline is effectively diagnosed and positioned, and the opening degree of the valve is intelligently controlled.

The invention relates to the technical field of fireproof valves, and discloses an air conditioner smoke exhaust fireproof valve with a smoke filtering function, which comprises a valve body, a filtering and cleaning assembly is arranged in the valve body, the filtering and cleaning assembly comprises a sliding block, the interior of the sliding block slides in the valve body, the sliding block is connected with the valve body through a bolt, an activated carbon plate is fixed in the sliding block, and the activated carbon plate is connected with the valve body through a bolt. A filter screen is fixed in the sliding block, a motor is fixed to the lower surface of the sliding block, a rotating rod is fixed to the driving end of the motor, a first protruding block is fixed to the outer wall of the rotating rod, and a second protruding block is fixed to the outer wall of the rotating rod; and the discharging assembly is arranged at the bottom end of the valve body. Through cooperation of internal structures of the filtering and cleaning assembly, a filter screen and an activated carbon plate are rapidly and effectively cleaned, meanwhile, a multi-section type cam and a telescopic rod component are designed, different amplitudes or beating strengths are provided, it is ensured that the vibration effect can evenly cover all areas of the filter screen, and local cleaning blind areas of the filter screen are reduced.

The invention discloses a control method of an electric actuating mechanism. The electric actuating mechanism is used for driving a valve to be opened and closed. The control method comprises the steps that real-time operation state parameters of the electric actuating mechanism are collected; determining a parameter control target value of the electric actuating mechanism according to a preset control mode; extracting historical operation data of the electric actuating mechanism, and outputting a control signal on the basis of a set target value according to a preset adaptive algorithm in combination with the historical operation data and the current operation state parameter; and driving the electric actuating mechanism based on the control signal. According to the technical scheme, the control precision of the electric actuating mechanism on the valve can be effectively improved.

The invention provides an electromagnetic valve control system and method for agricultural irrigation, and relates to the technical field of electromagnetic valve control, and the method comprises the steps: determining a lag fault-tolerant point when an electromagnetic valve for controlling an irrigation nozzle generates control lag during agricultural irrigation according to the actual condition information and control state data of the electromagnetic valve; performing coordinated correction on the action time of the electromagnetic valve based on the action limit interval and the irrigation spraying amount to obtain a coordinated correction characteristic when the electromagnetic valve for controlling the irrigation nozzle generates control lag during agricultural irrigation, and determining a control fitting threshold when the electromagnetic valve performs irrigation spraying control at different action time according to the coordinated correction characteristic; and fault-tolerant control is carried out on an electromagnetic valve for controlling an irrigation nozzle during agricultural irrigation according to the action feedback deviation. The action feedback of the electromagnetic valve can be monitored in real time in the control process of the electromagnetic valve, the control lag is recognized and corrected, accurate coordination correction is carried out, the control parameters of the electromagnetic valve are dynamically adjusted, and the control stability of the irrigation system is improved.

The invention relates to the technical field of ball valves, provides an intelligent sensing modular ball valve and a control method, and designs a valve body module and a control module. The valve body module is integrated with a multi-mode sensor, comprises a spirally-distributed acoustic sensor array, a physical quantity sensor group and a valve element state detection sensor, and monitors fluid acoustic characteristics, pressure, temperature, flow, liquid level and valve element displacement and torque in real time. The control module analyzes sensor data through a data fusion algorithm, and early identification of cavitation faults and detection of micro-crack faults are achieved. The system adopts an 8-bit dynamic coding mechanism to accurately position the fault type, and adjusts the opening or torque of the actuator in a linkage manner. The method has multi-parameter cooperative sensing, early fault early warning and self-adaptive control capabilities, and the reliability and safety of the ball valve under complex working conditions are remarkably improved.

The present invention discloses an LWP angle flow measurement and control valve with anti-residue on the inner wall, which belongs to the technical field of flow measurement and control valves, and comprises a flow actuator, wherein the lower surface of the flow actuator is connected to a flow controller, and the right side surface of the flow controller is connected to a water inlet pipe, and the lower side surface of the flow controller is connected to a water outlet pipe; a rotating shaft is arranged inside the water outlet pipe, and a second cleaning component is arranged inside the water outlet pipe, and the second cleaning component comprises a cleaning plate arranged inside the water outlet pipe, and the cleaning plate reciprocates inside the water outlet pipe when working. For the LWP angle flow measurement and control valve with anti-residue on the inner wall, when the water inlet pipe is working, the water wheel will drive the connecting shaft to rotate, and when the connecting shaft rotates, it will drive the brush plate to clean the inner wall of the water inlet pipe, and at the same time, the cleaning plate will make reciprocating linear motion on the inner wall of the water inlet pipe, and at this time, the cleaning plate can also clean the inner wall of the water inlet pipe, thereby optimizing the anti-residue effect and preventing scale nodules.

The invention relates to the technical field of valve machining, and discloses an auxiliary machining device for valve blank forging and a using method thereof.The auxiliary machining device comprises a forging table, a motor is fixedly connected to the side wall of the forging table, a swing rotating rod is rotatably connected to the inner wall of the forging table, and a forging block is slidably connected to the inner wall of the forging table; a servo motor is started to drive a gear rod to rotate, a gear ring is made to rotate, a fixing frame is made to rotate, balls on the top of a spring pressing plate are made to make contact with the inclined face of an inclined face ring, the spring pressing plate descends to extrude gas in the fixing frame, and the gas rises under extrusion pressure till high-pressure gas can push a piston push rod to move and drive a spring clamping block to move; the blank is located in the center of the forging table through cooperative pushing of the three spring clamping blocks, the blank is driven to rotate through application of the assemblies, the clamping force on the blank can be reduced when the blank is forged, and the situation that the size of the blank is affected due to the fact that the clamping force on the blank is too large is effectively prevented.

The invention relates to a pressure detection method, system and device for a breather valve of a storage tank. The method comprises the steps that key parameters used for representing the current state in the storage tank are obtained, and the key parameters are stored in a preset data record table to obtain new historical key data records; at least part of the historical key data records are input into a preset breather valve performance evaluation relation, and the abnormal degree used for representing the breather valve performance is obtained through calculation; and judging whether the abnormal degree exceeds a preset normal range, and if yes, outputting an early warning signal. By the adoption of the method, the historical key data records stored in the preset data record sheet are substituted into the preset breather valve performance evaluation relation to calculate the parameter result, and the parameter describes the current working state of the breather valve in a numerical value mode; and the abnormal degree of the breather valve is monitored by setting a warning threshold value about the abnormal degree, so that the function of monitoring whether the breather valve works normally or not in real time is realized.

A method for detecting a safe state of a switchable valve of a hydraulic system of an actuator in a motor vehicle includes the at least one first switchable valve, which is actuated by being energized, a pump, and a controller which controls at least the first switchable valve and the pump. The pump delivers the fluid to a first load in a first rotational direction and to at least one second load in a second rotational direction.

The invention discloses an AI valve terminal and system. The AI valve terminal comprises a plurality of AI wireless valve terminals and an AI networked platform. The AI wireless valve terminal comprises an AI processing module, an integrated sensor module, a power generation module, a pool group module, a motor control module, a parameter display module and a wireless communication module, the modules are connected with one another, and valve control and health condition monitoring and early warning are achieved through corresponding AI algorithms and decisions; the system comprises a plurality of AI wireless valve terminals and an AI networked platform, the AI wireless valve terminals upload valve working conditions and fluid parameters to the AI networked platform, different working condition parameters and fluid parameters are analyzed through an AI algorithm, credible parameter big data are formed, the credible parameter big data are compared with a preset threshold value, an AI decision is formed, and the valve working conditions and fluid parameters are analyzed through the AI wireless valve terminals. Health condition evaluation and early warning are carried out corresponding to different danger levels. According to the invention, AI evaluation and early warning of health conditions, flow statistics and fluid conveying performance of a plurality of valves are realized.

The invention relates to the technical field of valve leakage detection, and particularly discloses an ultrahigh pressure gas valve leakage detection method and system. According to the method, a unified leakage feature vector is obtained through multi-source acquisition and processing; capturing a time sequence dependency relationship, and determining a micro leakage mode; carrying out abnormal peak detection to obtain a preliminary leakage probability; combining the initial leakage probability with real-time environmental parameters, and dynamically adjusting a judgment standard; comparing the unified leakage feature vectors through a judgment standard, fusing position coordinate triangulation positioning, judging whether micro crack leakage occurs or not, and obtaining leakage position estimation; the historical data sequence is fused, the micro crack development trend is predicted, and the early warning level is determined; and generating a corresponding response signal according to the early warning level, and outputting micro crack leakage early warning. Multi-source data fusion, dynamic threshold adjustment and position prediction can be carried out, the accuracy and robustness of micro crack leakage detection are remarkably improved, and efficient guarantee is provided for safe operation of a pipeline.

An internal combustion engine has a uniblock that defines a blind cylinder bore that terminates within the uniblock. A piston is inserted into the cylinder bore from a bottom end of the cylinder bore. Parallel first and second vertical planes extend along first and second lateral sides of the cylinder bore. A cylinder zone being defined between the first and second vertical planes. A crosshead is coupled to the piston. A first crankshaft has a first crankshaft axis that extends parallel to the first vertical plane and that is positioned outside of the cylinder zone. A second crankshaft has a second crankshaft axis that extends parallel to the second vertical plane and that is positioned outside of the cylinder zone. The first crankshaft is coupled to the crosshead with a first connecting rod and the second crankshaft is coupled to the crosshead with a second connecting rod.

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 relates to a valve health degree monitoring and maintaining method and system based on an electric actuator, and belongs to the technical field of mechanical control and automation. The method comprises the steps that valve maintenance data of the electric actuator are obtained, a position-pressure bimodal grid is constructed based on the valve maintenance data, pressure testing is conducted on a valve, torque-opening curves in the opening and closing processes are analyzed, and valve health degree data are obtained; an electric execution monitoring model is constructed, a valve torque curve is obtained, maintenance information labels are added to grid nodes according to the valve maintenance information through a labeling binding method, and a valve health maintenance scheme is generated; for the pressure test, identifying switching time delay, hysteresis and leakage data in a valve torque profile and an operation log through a curve feature extraction method to obtain a valve scheme optimization strategy; and executing the maintenance scheme optimized by the valve scheme optimization strategy, and automatically outputting the updated valve health maintenance scheme based on a recursive execution feedback method.

The invention discloses an intelligent regulation and control method and system for a regulating valve, and the method comprises the following steps: obtaining the current operation condition data of the regulating valve, including fluid parameters and valve execution states; establishing a multi-physics field coupling model according to the operation condition data; dynamically correcting the multi-physics field coupling model by using an acoustic signal acquired by an acoustic sensor; a control instruction of the opening degree of the valve element is generated according to the corrected multi-physics field coupling model, and an actuator is driven to adjust the position of the valve element; in the valve element adjusting process, operation condition data and acoustic signals are collected in real time, and closed-loop feedback based on the condition-model-acoustic signals is formed; and when the acoustic characteristics in the acoustic signals exceed a preset threshold value, a slow opening and slow closing or segmented opening control strategy is triggered. According to the method, prediction errors can be remarkably reduced, the accuracy and reliability of a valve element opening degree control instruction are improved, and therefore the safety and stability of system operation are improved.

The invention provides an intake valve late closing device, an intake valve assembly and an engine, and belongs to the technical field of engines, and the intake valve late closing device comprises a cam shaft, a rocker arm shaft, an intake rocker arm, a main roller, a control unit, a movable unit, a contact part and a return spring. The device has the beneficial effects that an air inlet valve late-closing rocker arm in the prior art is omitted, the movable unit is movably connected with the air inlet rocker arm, when the electromagnetic valve is closed, the air inlet cam makes contact with the main roller, and the air inlet valve late-closing roller makes contact with the air inlet late-closing cam but only compresses the return spring; when the electromagnetic valve is opened, engine oil pressure pushes the movable block to move to the position away from the air inlet rocker arm, the air inlet late-closing cam and the air inlet valve late-closing roller are still in contact but do not compress the return spring any more, the air inlet cam and the main roller are separated, a pause gap is formed, and therefore the air inlet late-closing cam does not work any more.

The invention discloses a valve flow prediction method based on valve pressure difference. The method comprises the following steps: S1, valve state monitoring and data acquisition; s2, flow prediction; s3, performing real-time health assessment and adjustment; s4, performing anomaly detection and early warning; and S5, data recording and feedback optimization. According to the method, the valve abrasion and aging are introduced into the algorithm to serve as influence factors, the flow is predicted, the flow prediction model can be adjusted under the valve abrasion and aging condition, flow prediction is more accurate, and adjustment errors or system faults caused by prediction errors are reduced. Meanwhile, by introducing a valve health monitoring and flow prediction model and an anomaly detection and early warning mechanism, the flow prediction model can be adjusted under the condition that the valve is abraded or aged, so that flow prediction is more accurate, and adjustment errors or system faults caused by prediction errors are reduced.

The invention relates to the technical field of hydraulic valves, and discloses a digital hydraulic valve intelligent diagnosis system which comprises a data acquisition module, a data preprocessing and label generation module, a feature fusion module, a classification diagnosis and decision fusion module and a service life prediction and suggestion generation module. Data such as pressure, vibration, displacement, flow and pollution degree of the valve are comprehensively captured through deployment of a multi-source sensor array at key positions of the digital hydraulic valve and a self-adaptive acquisition strategy, early fault feature omission is avoided, then through preprocessing means such as soft-hard hybrid wavelet threshold denoising and multi-sensor time alignment, the data precision is effectively improved, and the accuracy of the data is improved. Then, through dynamic-static layered feature fusion and an attention weighting mechanism based on GRU, different feature advantages under steady-state and fault working conditions are fully combined, the fault feature distinction degree is greatly enhanced, and the problem that similar faults are likely to be confused is solved.

The present disclosure provides systems and methods for monitoring for a stuck valve. Various temperature and pressure sensors are used to monitor for a stuck valve in one or more tanks of hydrogen gas.

The invention relates to a supply assembly (1) for a gaseous-fuel engine (70). In order to provide effective means for precise lubrication of a fuel injector for a gaseous-fuel engine, the invention provides that the supply assembly (1) comprises: - a fuel-supply system (10) comprising a fuel rail (12) for conveying a gaseous fuel and a plurality of injector units (13), each injector unit (13) comprising a fuel injector (20) that is at least indirectly connected to the fuel rail (12) and is adapted to inject fuel into the engine (70), and - a lubricant-supply system (30) comprising at least one lubricant doser (31) with an outlet port (38), the lubricant doser (31) being adapted to controllably release a liquid lubricant (L) through the outlet port (38) into an injector unit (13), and being mounted to the injector unit (13).

The invention discloses an intelligent adjusting method of a pneumatic electromagnetic valve control system, which relates to the technical field of pneumatic electromagnetic valve control, and specifically comprises the following steps of: judging whether the phenomenon that the offset direction of a valve core repeatedly changes occurs or not on the basis of acquired change information of the feedback displacement direction of the valve core; when it is judged that the phenomenon that the offset direction of the valve element repeatedly changes occurs, displacement trend evaluation information is obtained in real time and analyzed after being obtained, and the displacement direction change trend of the valve element when the phenomenon that the offset direction of the valve element repeatedly changes occurs is evaluated; and according to the evaluation result, corresponding adjustment measures are executed on the pneumatic electromagnetic valve control system. The problem that an existing pneumatic electromagnetic valve control system cannot perform accurate evaluation and dynamic adjustment according to the change trend of the displacement direction of the valve element under the continuous opening adjustment instruction is solved, and intelligent adjustment control based on real-time trend recognition and self-adaptive strategy adjustment is achieved. And the adjusting precision, the response efficiency and the operation reliability of the system are obviously improved.