619 results about "Pressure curve" patented technology

The invention relates to the technical field of process optimization, and discloses an optimization method and system for a graphite sagger compression molding process. The method comprises the following steps: determining and analyzing particle size distribution, specific surface area, porosity and viscosity-temperature characteristics of graphite powder and a binder to obtain raw material characteristic parameter data; modeling is conducted on the migration behavior of the binder and the deformation characteristic of the graphite powder in the pressing process, a material rheological model is obtained, meanwhile, a multi-point pressure sensor system is arranged on the surface of a pressing mold, and target pressure data are collected; constructing a pressure distribution feature vector and a material flow state prediction result; performing adaptive adjustment on the initial pressing parameters to obtain a segmented pressure curve and a local pressure compensation strategy; and performing multi-objective optimization on the graphite sagger pressing path to obtain an optimal pressing process parameter combination. The method is combined with material flow state prediction, accurate control over the pressing process is achieved, and the intelligent level of the graphite sagger pressing forming technology is improved.

The present application discloses a proportional control valve and its control method and system, which relate to the field of pressure control valves. The method includes selecting a matching PID segment according to the pressure control target pressure of the vacuum container chamber and the current air intake flow rate; outputting a control signal using the selected PID segment according to the pressure control target pressure of the vacuum container chamber, the current chamber pressure and the current air intake flow rate; regulating the opening of the proportional control valve according to the control signal; obtaining the real-time pressure of the vacuum container chamber during the pressure control process to form an actual pressure curve; if the difference between the final pressure in the actual pressure curve and the pressure control target pressure is greater than the preset error, the coefficient of the PID segment is automatically adjusted to re-control the opening of the proportional control valve until the difference between the final pressure in the actual pressure curve and the pressure control target pressure is less than or equal to the preset error. The present application can match various different pressure control requirements and ensure the pressure control accuracy of the vacuum container chamber.

The invention relates to the technical field of investment casting, and particularly provides an investment casting automatic wax pattern welding equipment control method which comprises the following steps: extracting a peak value and duration from heating curve data, and judging a uniformity numerical value of interface temperature distribution through a numerical simulation method; according to the fusion depth change trend and the interface temperature distribution data, the quantized value of the quality index is calculated, and an evaluation result of the welding effect is obtained; if the quality index quantized value is lower than a preset threshold value, historical test data are extracted from a data analysis module, and the adjustment range of the process variable is determined; according to the process variable adjustment range, optimizing the parameter combination of the heating curve and the pressure curve, and generating new control strategy data through an iterative algorithm; new control strategy data is adopted to drive equipment to operate, and dynamic feedback values of the interface temperature and the fusion depth are obtained through a real-time monitoring system; and extracting abnormal fluctuation data from the dynamic feedback value, and judging the influence degree of the solidification rate change on the quality index in combination with a data analysis result.

The invention belongs to the technical field of diabetic foot ulcer early-stage active protection, and particularly relates to a diabetic foot gait training system based on tactile sense direction guidance. The system comprises an intelligent insole system, a cloud platform, a flexible tactile feedback interface and mobile terminal software. The intelligent insole system collects plantar pressure data in the gait process of a user and sends the pressure data to the cloud platform and the mobile terminal software through wireless communication; the cloud platform calculates sole accumulated pressure distribution in a specified time period, and when the accumulated partial pressure distribution is abnormal, control data is sent to the flexible tactile feedback interface through Wi-Fi; the flexible tactile feedback interface receives data of the cloud platform to generate tactile direction guidance, and gait training is achieved; and mobile terminal software can check a plantar pressure cloud picture and a pressure curve in real time. The training system generates direction prompts through tactile codes, guides a patient to actively adjust abnormal gaits, changes plantar pressure distribution and reduces the morbidity of diabetic foot ulcers.

The invention relates to the technical field of pressure measurement, in particular to a sensor intelligent compensation method, which comprises the following steps of: firstly, acquiring pressure values of a pressure sensor at different temperatures, and obtaining a pressure curve at each temperature through curve fitting; and then determining local similarity according to the area difference enclosed by the pressure curve at each temperature and the adjacent pressure curve, thereby calculating an initial penalty parameter of the SVR model, and then correcting the initial penalty parameter by analyzing the fluctuation degree of the pressure value at each temperature to obtain a final penalty parameter. And constructing and training an SVR model by using the corrected parameters, and placing the trained model in a compensation module to realize real-time compensation of a pressure value acquired by the pressure sensor. According to the method, the accuracy, the stability and the strain capacity of the SVR model are improved, the local optimal defect is avoided, the measurement error caused by the temperature is accurately compensated, and the measurement precision of the pressure sensor in different temperature scenes is enhanced.

Disclosed herein are systems and methods to obtain representative formation pore pressure and formation mobility from pressure measurements with a formation testing tool. One of the methods for performing a pressure test includes measuring the pressure in the fluid passageway by a pressure sensor, performing a pre-test with the pressure sensor, measuring the drawdown pressure, measuring the buildup pressure, performing another pre-test when the drawdown pressure is superior to the buildup pressure, and validating a formation flow when the drawdown pressure is equal to the buildup pressure, wherein a measured pressure obtained at an asymptote of a pressure curve after the buildup pressure corresponds to the formation pore pressure.

The invention discloses a fracture diagnosis method and device, and belongs to the technical field of oil and gas reservoir fracture exploitation, and the diagnosis method comprises the steps: building a water hammer equation set through a water hammer continuity equation, a water hammer motion equation and a liquid elasticity equation; solving the water hammer equation set to obtain a distribution equation of the water head, the flow velocity and the density of the middle well section; initial conditions in the studied wellbore are determined, and expressions of water head, flow and density distribution are obtained in combination with the distribution equation; coupling the water hammer equation set with a wellhead flow boundary condition and a well bottom crack boundary condition, and calculating to obtain a water hammer pressure curve; and crack parameters are determined by adjusting crack related parameters in the well bottom crack boundary conditions. The device comprises a memory for storing a computer program and a processor, wherein the program comprises the steps corresponding to the method. According to the method, the related parameters of the fractures after fracturing are rapidly diagnosed based on the water hammer pressure in the fracturing process, a basis is provided for design and modification of an oil and gas resource reservoir transformation scheme, and therefore the fracturing transformation effect is improved.

The invention relates to the technical field of injection molding quality monitoring, in particular to a real-time monitoring method and system for injection molding production quality. The method comprises the following steps: acquiring a standard pressure curve and a standard temperature curve of each production stage in each injection molding production cycle; calculating the local intensity of each sampling moment; obtaining an abnormal fluctuation coefficient of each sampling moment, and constructing a multi-dimensional coupling dynamic weight of each sampling moment; multiplying the abnormal fluctuation coefficient by the multi-dimensional coupling dynamic weight to obtain a weighted dynamic fluctuation curve; integrating the weighted dynamic fluctuation curve to obtain a form deviation index; and performing anomaly detection on the current production cycle based on the form deviation index. And the monitoring precision of injection molding production is improved.

The invention relates to a valve sealing performance detection system and method, and belongs to the technical field of valve detection. The problems that traditional valve detection is limited to sealing performance detection in a closed state, and monitoring on abnormal changes of pressure, temperature and flow parameters in detection is insufficient are solved. Comprising a valve installation module, a sealing performance evaluation module, a safety monitoring module and a control and display module. The control and display module determines the acquisition evaluation value and the acquisition frequency of the acquisition parameters according to the valve pressure and the opening range, so that the pertinence and the effectiveness of data acquisition are greatly improved; the sealing performance evaluation module establishes a pressure curve, a flow curve and a temperature curve by analyzing various parameters, and analyzes the pressure curve, the flow curve and the temperature curve to obtain a valve sealing value, so as to accurately judge the sealing performance of the valve; the safety monitoring module can deeply analyze the curve to calculate an alarm evaluation value, compares the alarm evaluation value with a preset threshold value, and gives an alarm for abnormal conditions of pressure, temperature and flow in time, so that the safety of the detection process is guaranteed.

The invention relates to the technical field of liquid chromatogram data processing, in particular to a liquid chromatograph state detection and maintenance method which comprises the following steps: establishing a multi-parameter online monitoring system which comprises a normal data set and an abnormal data set; learning the normal data set and the abnormal data set, and collecting real-time monitoring data to be matched with a known fault mode; according to the real-time monitoring data, the control unit draws a pressure curve and calculates a pressure fluctuation value; determining the test period of the chromatographic instrument based on the pressure fluctuation value and the baseline noise peak value, or sending an equipment fluctuation monitoring signal and calculating the difference value between the chromatographic column temperature and the environment temperature: determining the heating power of a constant-temperature box based on the difference value between the chromatographic column temperature and the environment temperature, or sending an equipment fluctuation monitoring signal; and determining the temperature correction coefficient of the chromatographic column according to the equipment vibration frequency. According to the invention, the operation stability and effectiveness of the liquid chromatograph are improved.

The invention relates to the technical field of plate drawing forming control, and discloses an automatic lubrication control method and system for plate drawing forming and a storage medium. The method comprises the steps that the surface of a deep drawing die is subjected to zoning treatment through a lubricating area dividing module, and parameters of all areas are initialized; carrying out real-time acquisition and pretreatment on process parameters; lubrication demand parameters are obtained through fuzzy control calculation; a proportional servo valve is used for pressure regulation; the lubrication pressure curve is corrected on line; and the lubrication parameters are analyzed and stored in a database. According to the method, the lubricating state of each area is intelligently adjusted by monitoring and analyzing the technological parameters in real time, so that the stability of the drawing forming quality is guaranteed.

The invention discloses a bamboo press pressure optimization adjustment method and system based on intelligent control, and relates to the technical field of bamboo presses, and the method comprises the following steps: obtaining bamboo data and operation data during the operation of a bamboo press; according to the bamboo data and the operation data, a bamboo press pressure optimization adjustment model is constructed based on machine learning, and an adjustment evaluation coefficient is obtained; drawing a pressure-adjustment curve graph according to the adjustment evaluation coefficient and a simulation pressure curve corresponding to standard bamboo characteristics in a preset bamboo characteristic database; analyzing according to the pressure-adjustment curve graph to obtain an optimal pressure value, and applying the optimal pressure value to current bamboo pressing; and through a closed-loop feedback mechanism, the pressure sensor continuously feeds back the adjusted pressure value, and real-time comparison adjustment is carried out until the deviation between the actual pressure and the optimal pressure value is within a preset range. By means of the highly-automatic adjusting mode, manual intervention is reduced, the operation difficulty and cost are reduced, and the production efficiency and safety are improved.

The invention discloses a bicycle center shaft press-fitting machining system based on machine vision positioning. The bicycle center shaft press-fitting machining system comprises a servo press-fitting module, a data acquisition module, a data processing module, a machine vision positioning module, a press-fitting control module, a quality detection module and a data management module. According to the system, image data and assembly quality data are acquired through data, and initial coordinates of mounting holes are extracted through median filtering, Canny edge detection and Hough circle transformation; further adopting an RANSAC algorithm to fit the cylindrical surface of the inner wall of the five-way pipe, accurately calculating a center point space coordinate and an axis direction vector, and converting the center point space coordinate and the axis direction vector to a press-fitting coordinate system through hand-eye calibration; the press-fitting process is dynamically regulated and controlled in three stages of pre-pressing, main pressing and final pressing, the press-fitting speed is dynamically regulated, and meanwhile, online judgment of the assembly quality is achieved through displacement-pressure curve analysis; according to the system, the problem of bearing abrasion caused by alignment deviation of a traditional press-fitting central axis is solved, and the press-fitting precision and the yield are improved.

The invention relates to the technical field of oil and gas field development, in particular to a fracture parameter inversion method based on a Bayesian neural network, which comprises the following steps: establishing a bottom hole net pressure conversion model based on an actual construction curve, and drawing a bottom hole net pressure curve; calculating a bottom hole net pressure index sequence and a corresponding time sequence; establishing a shaft bottom crack extension mode judgment criterion on the basis of a classic double logarithmic curve analysis method; taking the net pressure index sequence and the time sequence obtained in the previous step as input data, combining actual physical parameter constraints, and establishing an inversion fracture parameter model based on a Bayesian neural network; and inputting the pressure index sequence to be inverted into the Bayesian neural network model to obtain a specific fracture parameter inversion result. According to the technical scheme, the confidence interval of the prediction result can be given, the prediction result and uncertainty quantification capability can be synchronously provided, and the reliability and decision support value of the inversion result are greatly improved.

The invention relates to the technical field of intelligent manufacturing, in particular to an extrusion processing workshop intelligent operation and maintenance method and system based on digital twinning, and the method comprises the following steps: importing a production plan through a digital twinning system, generating a processing task list, and synchronizing a virtual model; the specification of the billet is obtained by using RFID, and a tracking code is generated and a task is bound. And matching process parameters, regulating and controlling the temperature of the heating machine, collecting temperature data and generating a compensation instruction. Based on the compensation instruction, planning a manipulator path, monitoring a pose correction deviation, and feeding the billet into an extruder; calling a pressure curve, collecting a pressure value, and generating an adjusting instruction by combining material simulation to realize constant strain rate extrusion; according to the pressure feedback, the wire collecting tension is adjusted, the wire diameter fluctuation is monitored, and a speed compensation instruction is generated; generating a wire unloading path according to the specification of the wire coil, and controlling the robot to place the wire coil and update a task state; according to the invention, efficient, accurate and intelligent extrusion processing operation and maintenance are realized.

The invention discloses a high-precision digital display hydraulic self-centering bearing assembling device which comprises a base (1), a bearing seat positioning device (2) is assembled in the middle of the base (1), a fixed plate (9) is assembled above the base (1), a driving part is installed on the fixed plate (9), a movable plate (7) is assembled below the fixed plate (9), and a bearing pressing plate (6) is assembled on the bottom face of the movable plate (7). And a telescopic rod (17) of the driving piece drives the movable plate (7) to move up and down. The device is reasonable in design, the assembly precision is improved, and potential quality hazards caused after the bearing is obliquely pressed in are avoided; the operation difficulty and the labor intensity are reduced; a pressure value is automatically recorded, a pressure curve can be observed, and abnormity during bearing assembly can be found in time according to the pressure curve and the pressure value, such as over-tight or over-loose fit between a bearing chamber and a bearing, so that potential quality hazards are eliminated; and during product model changing, frequent replacement of the bearing seat positioning device is avoided.

A method for assessing a physiological status of a patient is described herein. The method includes placing at least one pressure sensor in an anterior mediastinal space of the patient. Pressure signal data received from the at least one pressure sensor is amplified and filtered to separate the pressure signal data into different frequency bands. A set of pressure curves is generated based on the separated pressure signals in different frequency bands, and a physiological status of the patient is assessed based at least in part on the set of pressure curves.

The invention relates to a method and device for evaluating the rapid load changing capacity of a coal-fired unit, and the method comprises the steps: firstly, building a coal-fired unit dynamic model which comprises a coal pulverizing system, a boiler and a steam turbine through historical operation data, and determining model parameters based on the operation characteristics of an actual unit; secondly, main steam pressure and power instructions of different load sections are set according to the sliding pressure curve, a variable load capacity test is carried out by adopting a method of increasing the load increasing rate, and meanwhile, the coal feeding amount, the boiler water feeding amount and the adjusting range and the changing rate of a main steam valve are restrained; finally, dynamic changes of key parameters such as main steam pressure and steam-water separator outlet temperature in the variable load process are analyzed, and the actual average load rising rate of the unit is evaluated. According to the invention, the variable load capability of the unit in different load intervals can be accurately evaluated. Therefore, the problems that in the prior art, the load changing capacity of a unit in different load intervals is difficult to accurately evaluate, and the stabilization of new energy power generation fluctuation and the stability of power grid frequency are greatly influenced are solved.

Systems and methods are described for correcting ambient condition capillary pressure curves. In an example, the capillary pressure curve of a porous medium can be measured in non-reservoir conditions. Samples of the porous medium can be scanned at various confining pressures, and digital models of the scans can be created by a computing device. The computing device can simulate a porous plate experiment on the digital models to create a capillary pressure curve for each model. The computing device can calculate fitting equations for each capillary pressure curve according to capillary pressure points. The fitting equations can be averaged together and applied to the capillary pressure curve of the porous medium to correct for the non-reservoir conditions.

The invention relates to the technical field of roll grinders, and discloses a grinding control method and system for a roll grinder, and the method comprises the steps: deploying a pressure sensor, collecting pressure data and position coordinates, and building an initial data set. Abnormal data are identified and removed by detecting a time-pressure curve, missing values are complemented by utilizing curve fitting, and a corrected data set is formed. Workpiece boundaries are recognized based on pressure distribution, and after effective data are screened, a weighted average pressure value is calculated in the vertical direction of the grinding wheel. And dynamically adjusting the normal force of the grinding wheel by adopting a proportional control algorithm to enable the pressure to approach a target value. Abnormal data can be monitored, equipment health state evaluation is supported, the workpiece surface burning risk is reduced through pressure feedback compensation, and the size precision is improved.

The invention discloses a thermal power generating unit dynamic coupling compensation coordination control system, which belongs to the technical field of thermal power generating units, and comprises a dynamic coupling compensation module, a self-adaptive sliding pressure optimization module and a coordination control execution module, the dynamic coupling compensation module is used for receiving a load instruction sent by a preset control terminal and generating a dynamic compensation signal; the self-adaptive sliding pressure optimization module is used for correcting a preset initial sliding pressure curve in real time based on the time-varying characteristics of the actual operation parameters of the thermal power generating unit, superposing the current load demand of the thermal power generating unit and the heat storage capacity change of the boiler in the initial sliding pressure curve, and dynamically generating an optimal operation initial pressure target value; and the coordination control execution module is used for integrating the dynamic compensation signal and the optimal operation initial pressure target value into a unified control instruction. The dynamic coupling compensation module, the self-adaptive sliding pressure optimization module and the coordination control execution module are arranged, so that the manual intervention requirement is remarkably reduced.

The invention relates to the technical field of oil and gas field development, and discloses a method and system for processing a shale gas fracturing pump stopping curve, and the method comprises the steps: calculating an envelope line with a water attack effect part based on an original pump stopping pressure curve, and then processing original pressure data into a plurality of decomposition variables and a residual variable based on the envelope line; the obtained residual variable is regarded as a pressure curve after the water attack effect is eliminated. The problems that the water attack effect cannot be eliminated and the accuracy is low in the prior art are solved.

The invention discloses an air separation pressure swing intelligent adsorption pollution discharge method, system and device combined with a pressure curve, and relates to the technical field of intelligent pollution discharge. The air separation pressure swing intelligent adsorption pollution discharge method, system and device combined with the pressure curve comprises the following steps: S1, collecting running state data in real time, and preprocessing the running state data; s2, performing pressure disturbance intensity analysis on the operation state data; s3, performing real-time analysis and feature extraction on the pressure curve; s4, performing start-stop risk prediction on the operation state data; and S5, integrating the operation state data, the pressure disturbance intensity analysis result and the start-stop risk prediction result to execute a pollution discharge control instruction. The problems that an air compressor and a pressure swing adsorption system lack linkage control based on pressure change, pollution discharge easily causes pressure fluctuation and frequent starting and stopping, energy consumption is increased, equipment abrasion is caused, and an existing control mode lacks a feedforward adjusting mechanism are solved.

A control unit for an internal combustion engine, configured for real-time monitoring of exhaust gas components of a combustion process, wherein the real-time monitoring comprises collecting a sound signal from a structure-borne sound sensor for a combustion process in a cylinder of the internal combustion engine, and generating an emissions prediction based on the sound signal, wherein the emissions prediction describes the exhaust gas components of the combustion process.

A method for assessing a physiological status of a patient is described herein. The method includes placing at least one pressure sensor in an anterior mediastinal space of the patient. Pressure signal data received from the at least one pressure sensor is amplified and filtered to separate the pressure signal data into different frequency bands. A set of pressure curves is generated based on the separated pressure signals in different frequency bands, and a physiological status of the patient is assessed based at least in part on the set of pressure curves.

The invention discloses an injection molding process closed-loop parameter adjustment method which comprises the following steps: S1, collecting real-time injection molding data to form a real-time cavity pressure curve; s2, the mold intelligent terminal compares the real-time cavity pressure curve with the standard cavity pressure curve, compares feature point numerical values, calculates the difference between the real-time cavity pressure curve and the standard cavity pressure curve and judges the difference, and if the difference is within a preset range, injection molding continues to be conducted according to the current injection molding process parameters; if the difference is not within the preset range, executing the step S3; s3, the mold intelligent terminal automatically adjusts injection molding process parameters according to the difference and the injection molding process parameters corresponding to the current real-time cavity pressure curve and inputs the injection molding process parameters into the injection molding machine, and the injection molding machine carries out injection molding again; and S4, the steps S1-S3 are repeated until the difference between the real-time cavity pressure curve and the standard cavity pressure curve is within a preset range, and closed-loop control is formed. According to the invention, the injection molding process is digitalized, closed-loop control is realized, the efficiency is high, the precision is high, and the systematization degree is high.

The invention discloses an intelligent control method and system for limb pressurization equipment, and relates to the technical field of intelligent control. The current working state of the limb pressurization equipment is determined according to multiple pieces of working data of the limb pressurization equipment; the training report of the target limb is determined according to the current working state of the limb pressurization equipment, the multiple training pressure items and the overall form of the target limb, and the accuracy of the training report of the target limb is improved. Determining a plurality of training features according to the detection of the training report, and determining a pressure curve of the target limb according to the plurality of training features, the pressure condition of the target limb and the age of the user; determining an intelligent control event of the limb pressurization equipment based on the pressure curve of the target limb and the current working state of the limb pressurization equipment, and determining a dynamic early warning system of the limb pressurization equipment according to the intelligent control event, the abnormal signal of the limb pressurization equipment and the current body state of the user, and the accuracy of the dynamic early warning system of the limb pressurization equipment is improved.

The invention relates to the technical field of process control, in particular to an injection molding process optimization method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining stress signals of four tie bars of an injection molding machine, calculating a total mold locking force, and preprocessing the stress signals through temperature compensation and moving average filtering; real-time mold cavity pressure is calculated based on a mold filling stage linear model, a pressure maintaining stage quadratic function model and a cooling stage exponential attenuation model triggered by an injection molding machine control signal; generating a standard curve template with a confidence interval according to the characteristic parameters of the qualified sample, and dynamically updating the standard curve template; and comparing the current pressure curve with a standard template output quality judgment result in real time, and triggering automatic parameter adjustment to form closed-loop control. The device and the method have the effect of solving the problems of high cost, poor compatibility and difficulty in maintenance when the pressure of the die cavity is directly measured.

The present application discloses a fracture diagnosis method and device for fracturing, which belongs to the technical field of fracturing and exploitation of oil and gas reservoirs. The diagnostic method establishes a water hammer equation group through the water hammer continuity equation, the water hammer motion equation and the liquid elasticity equation; solves the water hammer equation group to obtain the distribution equations of the head, flow velocity and density in the middle well section; determines the initial conditions in the studied wellbore, and obtains the expressions of the head, flow rate and density distribution in combination with the distribution equation; couples the water hammer equation group with the wellhead flow boundary conditions and the bottom hole fracture boundary conditions to calculate and obtain the water hammer pressure curve; and determines the fracture parameters by adjusting the fracture related parameters in the bottom hole fracture boundary conditions. The device includes a memory and a processor for storing a computer program, and the program includes the steps corresponding to the above method. The present application quickly diagnoses the fracture related parameters after fracturing based on the water hammer pressure during fracturing, and provides a basis for the design and modification of the oil and gas resource reservoir transformation plan, thereby improving the fracturing transformation effect.

The invention relates to the technical field of intelligent control and predictive maintenance of heating water heaters, in particular to a wind pressure switch control system and method for a heating water heater. The method comprises the following steps of: extracting a starting pressure curve slope, a steady-state pressure fluctuation frequency spectrum entropy and a shutdown pressure decay time constant by collecting a time sequence pressure signal in a working period of a fan so as to generate a dynamic feature vector; comparing the vector with a preset reference health vector by the system, and resolving the health state confidence and the state deviation drift rate of the system in real time; when the health confidence coefficient is lower than a safety threshold value or the deviation drift rate is too high, the system executes forced safety locking; if the health degree is slightly reduced, the pre-purging time of the fan is actively prolonged as compensation; according to the method, conversion from fault response to predictive maintenance is achieved, early performance degradation symptoms such as fan abrasion and air duct dust deposition can be recognized in advance, post-maintenance is converted into beforehand intervention, and the fault rate and maintenance cost are effectively reduced.