2111results about "Valve arrangements" patented technology

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 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 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.

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 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.

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 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.

Systems and methods include a sensor device for detecting passing valves. The sensor device includes a housing including a first side configured to contact a wall of a pipe in a pipe system. A cover plate is coupled to a second side of the housing opposite the first side. A piezoelectric sensor is disposed in the housing and configured to detect acoustic emissions from a valve in the pipe system. A sensor holder is disposed within the housing to maintain a position of the piezoelectric sensor. A spring is positioned around a portion of the sensor holder and configured to bias the sensor holder away from the cover plate and toward the first side of the housing. A computer system is mounted to the housing and configured to determine that a valve is a passing valve based on acoustic emissions detected by the piezoelectric sensor.

The utility model discloses an intelligent safety monitoring device for a pipeline exhaust gulp valve, which comprises a pipeline body, the middle end of the top of the pipeline body is fixedly connected with a connecting pipe, the top of the connecting pipe is fixedly provided with an exhaust gulp valve body, and the upper end of the left side of the connecting pipe is fixedly connected with a mounting seat. According to the exhaust gulp valve, through the arrangement of the pressure sensor, the pressure in the pipeline body and the pressure in the connecting pipe can be safely monitored in the using process of the exhaust gulp valve body, and when negative pressure occurs in the pipeline body and the connecting pipe and the pipeline body and the connecting pipe cannot return to normal, it is indicated that the exhaust gulp valve body is damaged and cannot work normally; the pressure sensor and the mounting base can be effectively locked and limited in the using process through the arrangement of the pin hole, the containing hole and the pin rod, and the pressure sensor is prevented from falling off.

A rocker arm system for an internal combustion engine valvetrain includes a base member, a first rocker arm, a second rocker arm, and a saddle. The base member includes a first tower having a first tower recess, a second tower having a plurality of saddle mounting holes, a third tower having a third tower recess, a first rocker gap between the first tower and the second tower, and a second rocker gap between the second tower and the third tower. Each rocker arm includes an arm with a shaft extending through a shaft hole in the arm. A first tower recess central axis and a third tower recess central axis form a first angle having a measurement in a range of between 0° and 25°. The saddle is configured to connect to the second tower by passing a plurality of fasteners through plurality of corresponding saddle through holes in the saddle and into a plurality of corresponding saddle mounting holes in the second tower.

Embodiments of the present disclosure relate to an apparatus, a system, and a method for detecting and indicating the position of an actuator of wellsite equipment. The apparatus comprises a housing, the housing comprising a first housing portion operatively coupleable to the actuator and a second housing portion configured to receive at least one sensor therewithin. The at least one sensor provides an output signal indicative of the position of the actuator. The position of the actuator is indicative of a valve position.

The invention relates to the technical field of electric valves, in particular to an electric valve abnormal working condition monitoring method and system. Comprising the steps of setting a plurality of monitoring points based on equipment parameters of the electric valve; operation deviation values of all the monitoring points are generated according to a preset state evaluation model, and a first-level diagnosis strategy is set according to all the operation deviation values; generating an abnormal risk value according to the primary diagnosis strategy, and judging whether an early warning instruction is generated or not according to the abnormal risk value; a plurality of monitoring points are established based on the equipment parameters and the historical fault parameters of the electrically operated valve, and the abnormal operation state of each monitoring point is analyzed and pre-warned in time by setting the diagnosis sub-model of each monitoring point, so that the pre-warning efficiency of the abnormal working condition of the electrically operated valve is improved, the fault hidden danger is eliminated in time, and the safe operation of the electrically operated valve is ensured.

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 utility model provides an overhead digital display wash basin faucet which comprises a main body, a water outlet support arm is arranged at the upper end of the main body, a water outlet nozzle is arranged at the tail end of the water outlet support arm, a concave containing cavity is formed in the upper end of the main body, and a water outlet channel is formed in the center of the bottom of the containing cavity. The water outlet support arm is formed by stamping and welding a thin-wall pipe or a metal plate and is welded and fixed with the main body, an opening is formed in the upper end face of the water outlet support arm, and a mounting cylinder extending towards the accommodating cavity is arranged in the opening; the hydroelectric generator and the temperature adjusting device are mounted in the mounting cylinder. The utility model has the advantages of simple structure, light weight, low production cost and attractive integral appearance.

The invention discloses a marine storage tank emergency cut-off valve intelligent fault prediction method based on edge calculation, and relates to the technical field of industrial equipment intelligent operation and maintenance. Comprising the following steps: S1, determining a feature vector: synchronously acquiring multi-modal data through a multi-source sensor array, and performing signal processing on the multi-modal data to obtain a corresponding feature vector; s2, constructing a diagnosis model: constructing a sample data set according to the feature vector, and constructing a hybrid diagnosis model according to the sample data set; and S3: model processing: taking the multi-modal data as the input of a final CNN-LSTM hybrid network model, outputting to obtain a corresponding confidence coefficient, and determining a corresponding early warning mechanism according to the confidence coefficient. According to the method, the false alarm rate and the missing report rate can be reduced, and early-stage accurate recognition of potential faults such as abrasion and jamming is achieved.

The present invention discloses a fire-fighting equipment forging device, which relates to the field of fire-fighting equipment processing technology, including a base, the top of the base is connected to a top plate through a plurality of support rods, a connecting plate is provided between the top plate and the base, the connecting plate is fixedly connected to the plurality of support rods, the inner sliding connection of the connecting plate is provided with a connecting block, the top of the top plate is provided with a cylinder, the output end of the cylinder is connected to the connecting block, and compensation components are provided on both sides of the connecting block; the compensation component includes a driving component, the driving component includes a driving rod, and the number of the driving rods is set to two. The present invention compensates for the gap of the mold that becomes larger due to wear through the setting of the compensation component, maintains the effect of precise matching of the mold gap, ensures that the valve stem blank is formed in an ideal space, effectively avoids problems such as valve stem outer diameter size deviation due to mold wear, improves the molding accuracy of the valve stem and product quality, and at the same time extends the service life of the mold and reduces the production cost caused by frequent replacement of the mold due to wear.

An example one-time-open microfluidic valve can include an inlet microfluidic channel in a first elevation plane and an outlet channel in a second elevation plane. An upstream end of the outlet channel can overlap a downstream end of the inlet microfluidic channel. A capillary nozzle opening can connect the inlet microfluidic channel to the outlet channel at the overlapping ends. The capillary nozzle opening can have an outlet width that is smaller than a width of the outlet channel. A fluid actuator can be positioned to eject a fluid in the inlet microfluidic channel through the capillary nozzle opening into the outlet channel.

The invention relates to a rocker arm assembly with roller deactivation. More specifically, a variable valve lift rocker arm assembly may include an outer rocker arm body having a valve end and a cam end and configured to rotate about a first shaft. The inner rocker arm body may be configured to rotate about a first shaft or a second shaft and selectively and operably locked to the outer rocker arm body via a latch assembly. The latch assembly may have a first latch pin actuated by a latch pin spring, a second latch pin, and a third latch pin driven hydraulically, mechanically or pneumatically. The latch assembly may have a locked mode in which relative movement between the inner rocker arm body and the outer rocker arm body is locked, and an unlocked mode in which relative movement between the inner rocker arm body and the outer rocker arm body is permitted.

The invention discloses an intelligent early warning system for stainless steel cold rolling pipeline butterfly valves, and relates to the technical field of cold rolling production process monitoring, the system comprises a filtering tank, a plurality of oil outlet butterfly valves, a liquid level detection unit and a control module, the liquid level detection unit is arranged in the filtering tank and is used for collecting liquid level data of rolling oil in real time; the control module is used for calculating a speed curve of the liquid level changing along with time based on the liquid level data, comparing the liquid level descending speed with a preset speed threshold value so as to judge the operation state of the multiple oil outlet butterfly valves and outputting corresponding multi-stage early warning information; according to the invention, single-valve-level accurate detection can be realized, unfiltered rolling oil is prevented from entering the oil cleaning tank, the defect rate of spot marks on the surface of a steel coil is reduced, the qualification rate of cold-rolled products is improved, meanwhile, the manual inspection cost is reduced, and the system intelligence and maintenance convenience are improved; the technical problems of limited adaptive scene, accurate detection, information distortion, misjudgment risk and lack of an automatic early warning mechanism in the existing early warning technology are solved.

The invention discloses a preparation process of a dual-material tappet with both wear resistance and toughness, and relates to the technical field of engine tappet manufacturing, the preparation process comprises the steps of matrix pretreatment, gradient heating, infiltration compounding, diffusion heat preservation, subsection cooling and finish machining, and a wear-resistant alloy material comprises the following chemical components in percentage by weight: 3.2-3.6% of C, 0.4-0.6% of Ni, 2.4-2.5% of Si, 0.9-1.3% of Cr, 0.6-0.9% of Mn and the balance of Fe and inevitable impurities. Mo is equal to 0.4%-0.65%, and Slt is equal to 0.1%, Plt; 0.1%, with the balance being Fe and inevitable impurities. Compared with the prior art, the method has the advantages that the performance can be flexibly matched according to different engine requirements; the comprehensive performance of the working face is remarkably improved by adopting an infiltration composite process; the strength and the toughness of the matrix are improved; the double-metal bonding strength is consistent; the cost of the infiltration composite process is lower than that of brazing; the matrix in the semi-molten state and the wear-resistant material form metallurgical bonding, and the bonding strength is higher; the combined steel and the gradient cooling process jointly improve the impact resistance.

The invention relates to the field of vehicle control, in particular to an intelligent oil-saving sliding control method and system for an AMT commercial vehicle and the commercial vehicle, and the method comprises the steps: obtaining a gradient threshold interval and hysteresis width corresponding to a current state based on the total load of the vehicle, the real-time vehicle speed and the real-time road gradient; whether the engine water temperature and the accelerator opening degree signal meet preset fuel-saving sliding admission conditions or not is judged in real time; when all the access conditions are met and the real-time gradient and the vehicle speed are within the threshold interval, gear combination of the AMT gearbox is maintained, an engine is controlled to enter a fuel cut-off mode, and the vehicle enters an intelligent fuel-saving sliding state based on engine reverse towing; and if the real-time gradient exceeds the safety range, engine fuel oil supply is immediately recovered, and the in-cylinder braking or exhaust braking function of the engine can be cooperatively activated, so that the fuel-saving sliding state is stably quitted. And on the premise of ensuring compliance and safety of the whole process, the fuel economy is effectively improved.

Aspects of this disclosure relate to adjusting fluid flow using magnetically sensitive particles. Fluid can flow through an opening in a container. Magnetically sensitive particles can be confined within the container. A magnetic field can be applied to move the magnetically sensitive particles in the container to adjust flow of the fluid through the opening.

The invention provides a hydropower station governor main distributing valve fault diagnosis early warning system and method, and relates to the technical field of hydropower station governor main distributing valve fault diagnosis. The hydropower station governor main distributing valve fault diagnosis and early warning system comprises a governor main distributing valve and a fault diagnosis and early warning system, a plurality of sensors are arranged on the governor main distributing valve and used for monitoring various operation parameters, pressure, temperature and displacement of the main distributing valve in real time, and the early warning system is connected with the sensors and used for monitoring the operation parameters, pressure, temperature and displacement of the governor main distributing valve. The fault diagnosis and early warning system can analyze collected data in real time and comprises a multi-mode sensor array, an edge computing unit and a digital twin platform. Through collaborative design of multi-modal fusion anti-interference, edge calculation real-time response and meta-learning small sample adaptation, core pain points of a traditional method in the aspects of data dependence, real-time performance and false alarm rate are solved, and a high-reliability and high-precision intelligent operation and maintenance solution is provided for a hydropower station speed regulation system.

The invention relates to the technical field of oil and gas pipeline valve inner leakage online diagnosis, and discloses an oil and gas pipeline valve inner leakage online diagnosis method based on voiceprint analysis. According to the method, valve operation voiceprint data are obtained through a distributed interface to construct a feature database, a diagnosis framework is designed according to the database, and a multi-source voiceprint collection scheme is determined. And the voiceprint acquisition terminal acquires a multi-dimensional voiceprint signal according to the scheme, inputs the multi-dimensional voiceprint signal into a model after feature extraction to complete inner leakage level judgment and abnormal mode recognition, and outputs a diagnosis result. A diagnosis result is transmitted to the management optimization module, and diagnosis strategy adjustment is achieved through timestamp calibration, mapping table construction and the like. And a three-level evaluation sub-frame is also constructed to assist diagnosis. According to the method, accurate diagnosis and strategy optimization of oil and gas pipeline valve inner leakage are realized, and the diagnosis management level is improved.

The invention relates to the technical field of valve positioners, in particular to an intelligent valve positioner which comprises a positioner body, an external pipeline and an air pipe and further comprises an anti-disengaging assembly, and the anti-disengaging assembly comprises a fixing frame, a moving block, an extension spring, a moving frame, a connecting block, an abutting frame, a limiting component and a locking component. The air pipe can be in butt joint in the external pipeline more stably by abutting, clamping and fixing the air pipe through the abutting frame and cooperating with rebounding and dragging of the extension spring, and then the situation that the air pipe connected to the positioner body is loosened or disengaged from the external pipeline due to vibration generated during equipment operation is avoided.

The application discloses a high-temperature high-pressure valve body integral forging device, which comprises a forging machine (1), wherein a workbench (41) is arranged in the forging machine (1), a forging die (2) is arranged on the workbench (41), the forging die (2) comprises an upper die (3) at a hammer head end of the forging machine (1) and a lower die (4) arranged on the workbench (41), the lower die (4) comprises a bottom plate (5) connected with the workbench (41), two lower die sub-blocks (6) are arranged on the bottom plate (5) and are connected with each other, a pair of first connecting rods (7) are arranged on the side of the lower die sub-block (6), one end of the workbench (41) is provided with an ejection cylinder (8), and the other end of the workbench (41) is provided with two groups of stereoscopic frames (9). The application separates the die through a split dislocation structure, realizes rapid demolding, improves the demolding efficiency of the valve body and guarantees the forging quality of the valve body.