43779 results about "VALVE PORT" patented technology

The invention relates to an intelligent reflux valve adjusting method based on a self-adaptive control algorithm, and aims to improve the accuracy and response efficiency of fluid adjustment. The method comprises the steps that fluid flow, pressure, temperature and flow direction data collected by sensors installed at an inlet and an outlet of the reflux valve are obtained, and the initial target valve opening degree under the current fluid working condition is calculated through a working condition opening degree prediction model in combination with structural parameters of the reflux valve; based on the relation among the flow, the pressure and the valve opening, the initial target valve opening is adjusted through a fuzzy rule base, so that the final target valve opening is obtained, and therefore the dynamic change of the complex fluid working condition is adapted; according to the final target valve opening degree, an execution mechanism is controlled to adjust the operation state of the reflux valve, and precise adjustment is achieved; working condition prediction and fuzzy control are combined, the adjusting precision and stability of the reflux valve are improved, and the method is particularly suitable for fluid conveying systems with large flow and pressure fluctuation and has wide application prospects in the industries of energy, chemical engineering, environmental protection and the like.

An auto-occlusion safety device is provided for use in preventing rupture of infusion components during rapid infusion procedures. An occlusion valve is disclosed having a threshold pressure that is less than a rupture tolerance of the infusion system components. As the fluid pressure of the infusion system increases beyond the threshold pressure of the occlusion valve, the occlusion valve is automatically activated thereby occluding fluid flow upstream from a vulnerable infusion component. An accumulator is further disclosed for use in combination with the safety device to compensate for time delays in full activation of the occlusion valve.

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 provides a valve actuator full life cycle intelligent test system and method. The system comprises a combined load generation module used for generating an initial dynamic proportion of axial thrust and radial disturbance force according to a test protocol instruction, simulating a comprehensive stress state of an actuator under the impact of a pipeline medium, and outputting mechanical data containing thrust fluctuation characteristics in real time; the environment coupling module is used for dynamically adjusting an environment stress condition according to the test protocol instruction; the digital twinborn analysis module is used for comparing the actual displacement track of the actuator with the theoretical model track through a space-time alignment algorithm according to the mechanical data and environmental stress conditions to obtain a deviation feature vector; and the intelligent diagnosis module is used for carrying out dynamic time warping matching on the basis of the deviation feature vector and a preset historical fault database, outputting a fault type identification code and confidence, and generating a test report. According to the scheme, the accuracy of accurate evaluation of the full life cycle state of the valve actuator is improved.

A valve member, and related assemblies, systems, and methods, for a high-power pump may include a valve body having a valve head. The valve head may have a seal engaging surface positioned to receive a valve seal. The seal engaging surface may have a first axial position relative to a valve body axis. The valve head further may have a cavity at least partially defining a cavity interior. The cavity interior may extend between a cavity opening and a cavity end. The cavity interior may extend from the cavity opening at a second axial position spaced from the first axial position of the seal engaging surface and at least partially through the first axial position to the cavity end at a third axial position, thereby to reduce mass of the valve member and substantially maintain the strength of the valve head.

The invention discloses a wafer cleaning and drying process, a wafer drying machine and a cleaning and drying structure assembly thereof, relates to the field of wafer cleaning equipment, and can solve the problem of poor regulation and control precision of an electromagnetic pump and a plurality of valves with different calibers through manual adjustment in the prior art. The wafer drying machine comprises a main body and a lifting mechanism connected to the main body. The cleaning and drying structure assembly comprises a drying groove body, a liquid inlet pipe, an IPA bubbling box, a first liquid discharging pipe and a controller. A groove cover is connected to a groove opening of the drying groove body; the first liquid discharge pipe is connected with an electromagnetic pump, a first valve and a flowmeter used for measuring the flow speed of liquid in the first liquid discharge pipe, and the electromagnetic pump and the flowmeter are both electrically connected to the controller so that the controller can control the flow of the electromagnetic pump according to signal feedback of the flow speed of the liquid in the first liquid discharge pipe by the flowmeter.

In an example, a fluid collection device includes a fluid impermeable barrier that at least partially defines a chamber. The fluid impermeable barrier also defines an opening extending therethrough. The opening is configured to be positioned adjacent to a female urethra or have a male urethra positioned therethrough. The fluid collection device also includes a conduit at least partially disposed in the chamber. The conduit defines at least one aperture that allows an interior of the conduit to be in fluid communication with the chamber. The fluid collection device further includes a valve. The valve includes a first aperture coupled to the conduit and a second aperture that is fluid couplable to at least one of an air source, a vacuum source, or a fluid storage container. The valve is configured to control fluid flow through the conduit responsive to direction from a user.

The invention provides a valve actuator dispatching control method and system based on AI intelligence, and relates to the technical field of industrial automation control, and the method comprises the steps: collecting the running state parameters of a steam turbine in real time, determining the relation between the steam inlet amount and the valve opening degree under the current working condition to obtain a preliminary valve opening degree estimated value, and carrying out dynamic response compensation; the method comprises the following steps: carrying out comprehensive coupling analysis on a theoretical valve opening value and mechanical parameters such as response time, inertial parameters and an opening limit threshold value of a valve actuator, calculating a dynamic adjustment weight and carrying out boundary constraint processing to obtain a processed parameter, and calling a preset valve opening-silicon controlled trigger angle nonlinear mapping model in a single chip microcomputer based on the parameter; and calculating a final silicon controlled trigger angle by inquiring adjacent data points and a linear interpolation method. By fusing intelligent prediction, multi-dimensional adjustment and a closed-loop feedback mechanism, the valve control precision and response speed are improved, and efficient and intelligent operation of industrial automatic control is achieved.

A valve seat for a pumping assembly. The valve seat includes a body including a gradient material structure that defines a strike face for the valve seat. The gradient material structure has a first material, a second material spaced from the first material, and a smooth compositional transition between the first material and the second material. In addition, the valve seat includes a bore extending through the body.

The invention relates to a regulating valve opening / flow linear correction system and a control method, and the system comprises a flow deviation unit which is used for calculating a real-time deviation value between an actual control flow and a dynamic ideal flow of a regulating valve and comprises a flow prediction module based on an LSTM network, and the flow prediction module outputs a working condition self-adaptive ideal flow reference value; the manual / automatic undisturbed switching unit is used for tracking an ideal flow reference value in a manual mode, keeping a deviation value at the switching moment in an automatic mode and pre-judging the switching opportunity; the deviation correction unit is used for dynamically generating a nonlinear compensation amount by adopting Gaussian process regression, and solving an optimal opening correction value through an online convex optimization algorithm; the correction condition limiting unit is internally provided with a digital twinborn simulation module and a safety boundary prediction model, virtual verification is carried out before opening correction is executed, and the maximum opening limit value is dynamically adjusted; and the digital valve fingerprint database is used for storing valve mechanical wear characteristics, seasonal characteristic drift data and a medium influence matrix.

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 discloses a use monitoring method and system for a knife gate valve, and relates to the technical field of knife gate valve monitoring, and the method comprises the steps: integrating a multi-mode sensor array at the root of a valve rod of the knife gate valve, an adjacent region of a sealing surface and in a valve cavity flow channel, and collecting multi-source signals in real time; performing dynamic fusion processing on the multi-source signal, and determining a feature extraction algorithm combination based on the current valve rod temperature and historical working condition data to extract a sealing surface damage feature, a transmission chain wear feature and a particle impact feature; constructing a dynamic anomaly judgment model, updating a clustering boundary of a vibration and torque characteristic space in real time, and performing decoupling diagnosis on a sealing surface dry friction risk, thread clearance expansion and gear wear in combination with time-frequency domain fluctuation analysis of a gear meshing frequency harmonic attenuation rate and an angular acceleration; and generating a three-level maintenance strategy according to the diagnosis result, dynamically adjusting the output torque of the execution mechanism and optimizing the switching frequency of the valve.

The invention discloses a valve performance simulation and optimization method and system based on mixed deep learning, and the method comprises the steps: S1, carrying out the finite element simulation analysis of a valve, and solving through the thermosetting coupling of a multi-physics field, stress, deformation and temperature distribution data of the valve under different working conditions and maximum thermal stress and maximum thermal deformation displacement of key parts of the valve are obtained; s2, after data processing, taking stress, deformation and temperature distribution data of the valve under different working conditions as input parameters, taking maximum thermal stress and maximum thermal deformation displacement as output parameters, training a neural network model, and establishing a thermal-structural performance prediction model; s3, on the basis of a prediction result, a reference point-based non-dominated genetic algorithm is adopted, a reference point generation and self-adaptive agent model is combined, and multi-objective optimization is carried out to output an optimal parameter combination so as to adjust valve design; according to the invention, deep learning and multi-objective optimization are carried out on the finite element simulation result by using the neural network, and the valve performance prediction precision and optimization efficiency are improved.

A method of operating a gas turbine engine comprising an engine core comprising a turbine, a compressor, a combustor arranged to combust a fuel, and a core shaft connecting the turbine to the compressor; a fan located upstream of the engine core; a gearbox that receives an input from the core shaft and outputs drive to the fan; an oil loop system arranged to supply oil to the gearbox; and a heat exchange system comprising an air-oil heat exchanger through which the oil flows, a fuel-oil heat exchanger through which the oil and the fuel flow; and a valve arranged to allow a proportion of the oil sent via at least one of the heat exchangers to be varied, is disclosed, the method comprising controlling the valve such that, under cruise conditions, an oil flow ratio of:rate⁢ of⁢ oil⁢ flow⁢ into⁢ air-oil⁢ heat⁢ exchangerrate⁢ of⁢ oil⁢ flow⁢ into⁢ fuel-oil⁢ heat⁢ exchangeris in the range from 0 to 0.59.

The invention discloses an intelligent cooperative switching control system and method for multi-path valve runners, and the method comprises the steps: collecting all-condition operation data of a multi-path valve system, extracting valve switching characteristic parameters, and building a runner mapping relation between paths; a cascade action chain containing time sequence dependence is constructed based on the mapping relation and the switching characteristics, and the action sequence and the trigger condition of each drift diameter are determined; by analyzing the pressure distribution and the flow velocity change in the cascade action chain, predicting the water hammer strength and designing a reverse pressure wave parameter, and generating a water hammer counteracting control instruction; high-low pressure area distribution in the flow field is identified, a flow field complementary cooperation scheme is constructed, and a pressure balance control strategy is generated; analyzing a pressure wave propagation path to determine a superposition elimination point, extracting pressure pulse resonance characteristics and generating time sequence control parameters; and the sequential control parameters are matched with the cascade action chain, synchronous control nodes are determined through delay compensation, and a time-sharing control sequence is generated to achieve intelligent cooperative switching of the multi-drift-diameter valve flow channels.

A method of operating a gas turbine engine including: an engine core with a turbine, compressor, a fuel combustor, and a core shaft connecting the turbine to the compressor; a fan; a gearbox that receives an input from the core shaft and outputs drive to the fan; an oil loop system arranged to supply oil to the gearbox; and a heat exchange system including: an air-oil heat exchanger through which the oil flows; a fuel-oil heat exchanger through which the oil and the fuel flow; a temperature sensor downstream of the fuel-oil heat exchanger; and a valve arranged to allow oil or air flow rate through at least one heat exchanger to be varied, the method including: determining if the fuel temperature has increased above a set threshold at cruise conditions; and in response, controlling the valve so as to change the flow rate through the heat exchanger.

In one instance, a dynamic slab gate valve is disclosed for use in controlling fluid flow through pipelines and other tubulars, wherein the dynamic slab gate valve has a dynamic seat assembly and a dynamic skirt assembly. The dynamic seat assembly is urged toward a gate of the dynamic slab gate valve by an energizer to maintain a seal between a seat and the gate. The dynamic skirt assembly is urged toward the gate of the dynamic slab gate valve by an energizer to maintain a seal with the gate. Improved seals are provided. Other valves are disclosed herein.

The invention relates to the technical field of water pump intelligent control, in particular to a vacuum pump and water supply pump intelligent control system. A water supply pump liquid conveying adjusting module collects operation parameters and liquid state information of a water supply pump and analyzes the boundary layer thickness of an inner wall area of a water supply pump connecting pipeline; and judging the influence of the boundary layer thickness change on the liquid flow fluctuation, adjusting the rotating speed of the water supply pump and the valve opening, and generating a water supply pump initial operation adjustment result. According to the method, the operation parameters of the water supply pump and the liquid state information are collected in real time, the flow velocity and the flow velocity gradient of the liquid on the inner wall of the pipeline are measured to calculate the thickness of the boundary layer, meanwhile, the relation between the thickness and the pressure gradient is analyzed, the regulation and control capacity of fluid flow fluctuation is effectively improved, and the liquid conveying stability is enhanced. In the liquid conveying process, the influence of liquid viscosity is analyzed through temperature changes, the conveying state is monitored in combination with the pressure difference, the abnormal condition can be rapidly recognized and marked, and the safety and the fault response speed are improved.

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 provides a reflux valve supporting remote monitoring of the Internet of Things. The reflux valve comprises a valve body provided with a fluid inlet, a fluid outlet and an internal flow channel, and an electric actuating mechanism is configured for controlling the opening degree of the valve; a microprocessor and a memory are arranged in the control unit, and the control unit processes data of the sensor, calculates a fluid density correction coefficient and a pressure correction coefficient, corrects original flow data collected by the flow sensor and generates an actual flow value; the control unit further identifies the current fluid type and adaptively adjusts the countercurrent detection threshold value of the upstream and downstream pressure difference based on the relationship between the flow and the pressure data; when the pressure difference exceeds the adjusted threshold value, the electric executing mechanism executes emergency turn-off operation; meanwhile, a wireless communication unit is arranged, real-time data transmission is supported, control parameters issued by external monitoring equipment are received, and intelligent control and remote management are achieved; the intelligence and the operation efficiency of the reflux valve can be effectively improved, and the reflux valve is suitable for safety protection and operation optimization under the complex fluid working condition.

The invention relates to the technical field of steam extraction check valves, and discloses a design method and device for quickly responding to a steam extraction check valve under a high-parameter working condition, and the method comprises the following steps: constructing a valve working condition database and a valve body database; based on the valve working condition database and the valve body database, a valve performance prediction model is constructed, and a valve state quantity prediction value is obtained through performance influence factors collected in real time; correcting the predicted value to obtain a valve state quantity corrected value; a valve control environment based on reinforcement learning is established, a valve optimization control strategy model is constructed, a real-time optimal control action is generated and executed based on a valve state quantity correction value, and efficient optimization control over the valve is achieved; according to the method, through combination of data-driven performance prediction and reinforcement learning optimization control, rapid response and efficient operation of the steam extraction check valve under the high-parameter working condition are achieved, and the reliability and the energy-saving effect of the system are improved.

The invention provides an intelligent pump room real-time monitoring and data analysis method and system and a medium. The method comprises the following steps: extracting water pump operation characteristic data, motor operation characteristic data and valve operation characteristic data corresponding to a plurality of monitoring time points, processing according to the water pump operation characteristic data to obtain a water pump performance reliability index, processing according to the motor operation characteristic data to obtain a motor state stability index, processing according to the water pump operation characteristic data and the valve operation characteristic data to obtain a water pump adjustment sensitivity index, obtaining environment characteristic data of an area where the target pump room is located, and processing to obtain an environment interference suppression degree index; processing is conducted by combining the water pump performance reliability index, the motor state stability index and the water pump adjusting sensitivity index, the equipment operation effect index of the target pump house is obtained, the target pump house is correspondingly adjusted and maintained, and therefore the technology of real-time monitoring and data analysis of the intelligent pump house is achieved.

An immersion cooling system is provided and includes: a box body having a first accommodating space and a second accommodating space, where the first accommodating space accommodates a heat dissipation medium and at least one heating unit; a condensing unit arranged in the second accommodating space; and at least one valve unit disposed in the box body and corresponding to the second accommodating space and the condensing unit. The gasified heat dissipation medium flows and impacts the condensing unit to blow off the liquefied heat dissipation medium attached onto the condensing unit when the valve unit is opened.

The invention discloses a molten salt heat storage and heat exchange efficiency optimization system and method in a whole-plant technological process. The system comprises a high-temperature molten salt storage tank, a low-temperature molten salt storage tank, a temperature sensor group, a variable-frequency pump group, a multi-stage heat exchanger, an intelligent control unit, a heat buffer module and the like, and the high-temperature molten salt storage tank and the low-temperature molten salt storage tank are connected through a conveying pipeline to form a circulation loop. The intelligent control unit regulates and controls the rotating speed of the pump set and the valve opening degree based on a fuzzy PID algorithm, the heat buffering module reduces heat loss, and the multi-stage heat exchanger enhances heat exchange. The method comprises the steps of temperature and flow data collection, efficiency deviation value calculation, fuzzy PID control, thermal buffer optimization, waste heat feedback and the like. Besides, the system also has the functions of digital twinborn prediction, multi-objective optimization, abnormal working condition self-healing and the like, can be connected with a DCS (Distributed Control System) to obtain energy consumption data and dispatch stored energy, and also can predict equipment faults. The fused salt heat energy storage and heat exchange efficiency is effectively improved, reasonable energy allocation and cost control are achieved, and the reliability and stability of the system are enhanced.

The invention relates to the technical field of clean environment control, in particular to a dynamic pipe network and model predictive control clean room energy-saving pressure control method and system. Obtaining current pipe network impedance according to the pipe network impedance curve; calculating the current valve impedance according to the valve opening; calculating the total pressure drop of the current pipe network; constructing a fan dynamic model based on a fan similarity law to calculate the air volume at the next moment; a clean room pressure difference dynamic model is constructed, and the clean room pressure difference at the next moment is calculated; constructing a state space model and a target function of a model prediction controller; and when the pressure difference of the clean room is unstable, predicting the change trend of the pressure difference of the clean room in the next time period, and reversely solving the optimal fan frequency and valve opening of the discretization state space model by using the model prediction controller so as to achieve the lowest pipe network impedance and obtain the optimal fan frequency. The control precision and robustness of the pressure difference of the clean room are remarkably improved, and meanwhile energy consumption is reduced.

The invention discloses a natural gas station intelligent distribution method based on the Internet of Things, and relates to the technical field of natural gas station distribution design. Flow, pressure and valve state data are obtained in real time through an Internet of Things sensor, and a weighted average method and Kalman filtering are used for data fusion and optimization; meanwhile, the relative position relation between the flow meter and the adjusting valve is judged in real time, branch configuration changes are dynamically recognized, self-adaptive branch matching logic is triggered, and therefore control logic is adjusted; meanwhile, the opening degree of the valve is controlled through PID, self-adaptive dead zone compensation is conducted in combination with historical operation data of the valve and the current state, valve response delay is eliminated, the adjusting precision is improved, and flow fluctuation is reduced; in addition, in the feedback adjusting stage, the adjusting result is continuously monitored, the actual flow and the pressure value are compared with the target value, the opening degree of the valve is dynamically adjusted through real-time error calculation, and the output is kept consistent with the target.

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 provides an immersed liquid cooling device, a control method and a system, and relates to the technical field of heat dissipation, the temperature of an inlet and an outlet of a chip-level evaporator at a chip and the highest temperature of the chip are obtained in real time through a preset sensor, and the corresponding relation between the inlet and outlet temperature difference and a preset threshold value is determined; if the outlet temperature difference is smaller than the preset threshold value, the valve opening degree of a pipeline valve corresponding to the outlet temperature difference is controlled to be reduced along with increasing of the outlet temperature difference according to a preset adjusting method, and the valve opening degree is determined in real time; when the valve opening degree reaches the minimum value and the outlet temperature is still smaller than the preset threshold value, the target fan rotating speed is determined through a first preset formula according to the chip highest temperature and the chip heating power; and if the outlet temperature difference is equal to the preset threshold value, the target fan rotating speed is determined according to the chip highest temperature and the chip heating power. According to the invention, the problem that an immersed liquid cooling device, a control method and a system which are controllable in cooling object and cooling effect and wide in application range are lacked in the prior art is solved.

The invention discloses a valve fault data detection method and system, and relates to the technical field of industrial automation control and fault diagnose.The method comprises the steps that historical data of operation of a valve are obtained, the collected historical data are analyzed through a deep learning method, and time sequence features are extracted; a fault scoring model is established according to the extracted time sequence features, the fault of the valve is warned in advance, and meanwhile the state of the valve is monitored in real time through the latest real-time data flow; and the prediction result of the fault scoring model is verified through the real-time data flow, and the valve abnormity scoring standard is dynamically adjusted according to the real-time data and the output of the fault scoring model. According to the method, the fault prediction model is constructed by collecting the time sequence data of the valve rod displacement and combining the deep learning technology, the valve operation state can be monitored in real time, abnormal features can be accurately recognized, and delay and errors of manual detection are avoided.

The present invention relates to the field of oil production engineering equipment. Disclosed are a waterflooding and well flushing system and an integrated water distributor thereof. The integrated water distributor comprises a main body with a hollow channel, and a setting mechanism slidably sleeved on the main body, wherein the main body is internally provided with a well-flushing fluid channel, a waterflooding valve, and a well flushing and waterflooding control mechanism for controlling the connection state of the well-flushing fluid channel and the open / closed state of the waterflooding valve; the well flushing and waterflooding control mechanism comprises a well flushing and waterflooding shared electrically-controlled transmission shaft and a well-flushing piston; and the waterflooding valve is connected to the well flushing and waterflooding shared electrically-controlled transmission shaft. When the waterflooding valve moves to an open state as the well flushing and waterflooding shared electrically-controlled transmission shaft slides, the hollow channel is in communication with a space outside the main body, and at the same time, the well-flushing piston blocks the well-flushing fluid channel. The integrated water distributor can effectively prevent the well-flushing fluid channel from being accidentally connected due to residual pressure of strata during waterflooding operation.