377 results about "Temperature and pressure" patented technology

The invention relates to the technical field of parameter adjustment, and discloses a low-temperature evaporative crystallization machine parameter adjustment method, device and equipment and a storage medium, and the method comprises the steps: collecting M groups of temperature sensor data and N groups of pressure sensor data of a low-temperature evaporative crystallization machine, calculating a first uncertainty representation of temperature parameter measurement and a second uncertainty representation of pressure parameter measurement; performing data fusion to obtain an optimal estimated value of a temperature state and an optimal estimated value of a pressure state; parallel prediction is carried out through the thermodynamic equilibrium model, the crystallization kinetic model and the system response model, and a crystallization process prediction result is obtained; according to the technical scheme of the invention, the interference of the feeding fluctuation, the environmental change and the like can be effectively handled, and the real-time updating of the control strategy and the accurate adjustment of the temperature and pressure parameters can be realized.

The invention discloses an aircraft wheel cooling method and device, and the method comprises the steps: collecting the temperature of a brake disc and the air pressure of a hub in real time through a temperature and pressure sensor, calculating the temperature change rate and the pressure difference through an embedded processing module, and generating a thermodynamic initial parameter set; calculating a thermal stress distribution value of the brake disc based on the initial parameter set, and generating a cooling liquid flow and spraying angle instruction set in combination with a material threshold database; the opening degree of an annular pipeline piezoelectric valve is regulated according to an instruction set, an injection area is regulated according to flow velocity-surface area heat exchange efficiency, and waste heat is synchronously recovered to optimize power consumption; the thermal infrared imager obtains temperature field distribution, the initial parameter tolerance range is compared, the spraying angle and the flow instruction are corrected through a fuzzy PID algorithm, and temperature gradient errors are eliminated; and based on the temperature drop rate, the pressure stability and the waste heat recovery efficiency, an efficiency index is generated by using a neural network scoring model, and algorithm weights and piezoelectric valve response parameters are dynamically adjusted. The cooling efficiency is effectively improved, and the thermal stress risk is reduced.

The present application belongs to the technical field of material processing, and relates to a mold-free mirror image filament laying method and a mold-free mirror image filament laying system. The method lays a filament ribbon in a mirror image symmetry, without a mold, thereby improving production flexibility and efficiency. The method acquires the temperature and pressure of the filament ribbon in real time, calculates the output power of a heater and the modification value of a filament laying end motion mechanism path by using temperature and pressure differences, and optimizes controller parameters through reinforcement learning, so as to realize stable control of the temperature and pressure. The system comprises a hardware part and a control system. The hardware part includes pressure and heat source components. The control system adjusts through real-time feedback to ensure the quality of filament laying. The present application solves the problem that the temperature and pressure are difficult to accurately control in the process of mold-free mirror image filament laying, and improves the performance of composite products.

The invention relates to the technical field of food processing, in particular to a cooking and processing system for fermented glutinous rice cake chilies based on temperature feedback. In the hot pepper cooking treatment process, the temperature distribution of the temperature control points with different heights in the cavity is obtained and the layered gradient difference value sequence is constructed, so that the space difference of the temperature change in the cavity can be effectively identified, and further the advance or lag state of the heat response is periodically judged; on the basis, time sequence structure data are constructed according to the top and bottom temperature and pressure change sequences, and the upper and lower layer pressure response relevance is identified in a trend matching mode, so that the hot-pressing state prediction is closer to the real change process, and the accuracy of hot-pressing state prediction is improved. Finally, the opening and closing frequency and direction of a hot air circulation channel are rhythmically scheduled based on a prediction result, balance and smoothness of internal hot air circulation are ensured, and the thermal control precision and the hot-pressure adjusting capacity in the cooking process are enhanced in the whole process.

The invention discloses an anti-seismic and anti-power-frequency-interference system and method for a vortex shedding flowmeter, and relates to the technical field of flow measurement, the system comprises a signal receiving module, a vibration monitoring module, a frequency identification module, a temperature and pressure measurement module and an interference signal processing module, interference signals in a flow-free state can be accurately processed, whether actual flow exists or not can be accurately judged by measuring the temperature and pressure of fluid in a pipeline and combining the temperature and pressure with vibration and frequency characteristic information, wrong measurement data generated due to the interference signals in the flow-free state are avoided, and the measurement accuracy is improved. According to the method and the system, the measurement problem caused by misjudgment can be reduced, meanwhile, information about the equipment operation state and the pipeline environment is provided for different types of interference signals through comprehensive analysis and judgment of the system, potential equipment faults and abnormal working conditions can be found in time, and a powerful data basis is provided for maintenance and management of the equipment.

A method for determining multiphase flow rates from a well in real-time, the method includes obtaining temperature and pressure data of flow of a multiphase fluid that includes a first phase at one or more locations in a wellbore conveying the flow. The flow is controlled, at least in part, by a set of well operation parameters. The method further includes determining, with an artificial intelligence (AI) model, a first predicted flow rate of the first phase at a first location given an input that includes the temperature and pressure data. The method further includes determining, with an optimizer applied to the AI model, an optimal set of well operation parameters based on, at least, the first predicted flow rate. The method further includes adjusting, automatically, the set of well operation parameters to the optimal set of well operation parameters.

The invention relates to the technical field of automatic control, and discloses an automatic process intelligent control method and system for paper packaging. The method comprises the following steps: acquiring humidity fluctuation data and a material surface moisture content index in a production environment in real time, matching a preset moisture absorption model based on a humidity fluctuation grade, calculating a material physical property change amplitude and an influence of the material physical property change amplitude on pressure distribution, and obtaining a pressure distribution deviation value; calculating the target temperature adjustment amount of the heating equipment and updating the power setting of the humidity adjusting equipment according to the incidence relation between the deviation value and the equipment cooperation parameters, and generating a cooperation control instruction; driving equipment performs linkage adjustment and monitors pressure data, and key control parameters are extracted in a stable state for dynamic process adjustment; product appearance and packaging data are collected, whether the quality meets the standard or not is judged, and process parameters are automatically corrected. According to the method, multi-parameter intelligent cooperative control over humidity, temperature and pressure is achieved, and the stability, consistency and automation level of the paper product packaging production process are improved.

The invention discloses a temperature and pressure integrated transmitting measurement method and system based on nonlinear compensation, and relates to the technical field of measurement. The method comprises the following steps: synchronously acquiring a temperature original signal and a pressure original signal of a target environment to carry out cross influence analysis, and constructing a temperature-pressure cross influence matrix; performing nonlinear segmented compensation on the temperature original signal and the pressure original signal according to the temperature-pressure cross influence matrix to generate a temperature compensation signal and a pressure compensation signal; and fusing the temperature compensation signal and the pressure compensation signal, generating an initial fusion measurement value, carrying out data change diagnosis, carrying out multi-stage verification according to a diagnosis result, and determining a temperature and pressure integrated transmission measurement value. The technical problem that in the prior art, temperature and pressure signals interfere with each other in the temperature and pressure measurement process, effective compensation and correction cannot be achieved, and consequently measurement is inaccurate is solved, and the technical effect of improving temperature and pressure integrated transmitting measurement precision is achieved.

The invention discloses a basalt supercritical CO2 mineralization reaction real-time test system and a quantitative analysis method, and the system comprises a basalt micro-fluidic chip which employs a multilayer composite sealing structure to simulate a reservoir fracture environment; the high-temperature and high-pressure reaction device regulates and controls the temperature and pressure conditions of the reduction reservoir through temperature and pressure coordination; the temperature regulation and control system, the fluid pressurization system, the metering system and the image acquisition system are integrated, so that the real-time dynamic monitoring of the mineralization reaction of supercritical CO2 and basalt is realized. Based on a deep learning algorithm and a seepage-reaction coupling model, mineral precipitation morphology and fracture structure evolution laws are automatically analyzed, and dynamic association between seepage characteristics and reaction kinetics is quantitatively represented. According to the method, the experiment authenticity, the observation resolution and the analysis efficiency are remarkably improved, and reliable experiment support is provided for optimization of the carbon sequestration technology.

The invention relates to the technical field of cooling water abnormity monitoring, in particular to a steel slag pressure hot stuffy rolling cooling water abnormity alarm system and method.Roll gap cooling water flow, injection temperature, hot stuffy tank pressure and bearing vibration data are collected, a dynamic mapping relation between position coordinates of a spraying opening and a water inlet valve is established, temperature and pressure time sequence offset is calculated, and the temperature and pressure time sequence offset is calculated; the temperature judgment boundary is corrected by combining the pressure bearing limit value of the sealing ring and the real-time flow, and an abnormal alarm is triggered according to the temperature over-limit frequency in the continuous time period. A multi-source analysis framework is constructed by integrating temperature, flow, pressure and vibration parameters, single-point monitoring limitation is eliminated, nonlinear influence of the flow on tank pressure is quantified by adopting a dynamic weight model, a self-adaptive temperature threshold value is generated in combination with a sealing pressure bearing limit, dynamic coupling of an alarm mechanism is realized, an abnormal scene is positioned based on time sequence analysis and coordinate mapping, and the accuracy of monitoring is improved. The sealing hidden danger is pre-judged through the thermal unbalance coefficient, and the pressure rate deviation is intercepted in real time.

A method for producing high quality exfoliated layered materials may include loading a layered material powder into a variable-volume reactor, injecting a pressurized fluid into the variable-volume reactor, increasing the temperature of the variable-volume reactor to a predetermined temperature, increasing the pressure of the variable-volume reactor up to a pressure higher than the critical pressure of the pressurized fluid at the predetermined temperature by reducing the volume of the variable-volume reactor, obtaining an intercalated layered material powder by maintaining the temperature and pressure condition within the variable-volume reactor for a predetermined amount of time, and exfoliating the intercalated layered material powder by expanding the pressurized fluid within the variable-volume reactor by increasing the volume of the variable-volume reactor. The reactor and method may be configured to perform supercritical extraction and nanoparticle production processes as well.

The invention discloses a safety early warning system, which relates to the technical field of early warning regulation and control, and comprises an acquisition and processing module, an analysis and prediction module and an early warning regulation and control module, the acquisition processing module measures the temperature and the pressure in the current period, and processes the temperature and the pressure in the historical period into a standard data tensor; the analysis and prediction module establishes a matching degree matrix through dynamic time warping, introduces physical regular constraint into principal component analysis based on an ideal gas equation, extracts and generates a coupling feature sequence, splices the coupling feature sequence with a standard data tensor, inputs the coupling feature sequence into a prediction model, outputs a prediction data tensor, and performs fitting to generate a trend function of temperature and pressure; and the early warning regulation and control module dynamically judges a dangerous moment and dynamically determines a regulation and control time length, performs model prediction control based on an equipment regulation and control model, defines a regulation and control objective function, solves an optimal regulation and control problem in a limited time length, obtains an optimal parameter adjustment quantity vector, and executes regulation and control. And accurate prediction and regulation and control considering the temperature and pressure coupling relationship and the adjustable and controllable time length are realized.

The invention discloses a related quantitative analysis method and system based on steam turbine regulating valve opening disturbance, and belongs to the technical field of generator set optimization operation. Sequentially deducing to obtain a first differential equation and a second differential equation based on the steam temperature change when the steam turbine regulates the valve opening disturbance; the function relation between the enthalpy value of the once-through boiler outlet working medium and the temperature and the pressure is established, and a quantitative analysis equation of the steam turbine adjusting valve opening disturbance to the once-through boiler outlet steam temperature is deduced; based on the proportional relation between the first-stage front steam pressure of the steam turbine and the front steam pressure of the adjusting steam valve and the load constant condition of the once-through boiler, a quantitative analysis equation of the opening disturbance of the adjusting steam valve of the steam turbine to the first-stage front steam pressure of the steam turbine is deduced. Through a reasonable simplified formula, the quantitative influence result of the opening degree change of the steam turbine adjusting valve on the outlet steam temperature of the once-through boiler and the first-stage front steam pressure of the steam turbine can be rapidly and accurately obtained, operation personnel can be assisted in optimizing operation, and then safe and economical operation of a generator set is guaranteed.

The invention discloses a fluid temperature and pressure partitioning and heat transfer prediction method under supercritical pressure, which comprises the following steps: firstly, constructing a dimensionless criterion SEN to quantitatively evaluate a fluid expansion effect, and then dividing heat transfer into a plurality of temperature and pressure intervals based on Nuexp / Nufc; for each partition and the constructed dimensionless criterion, a temperature interval of a dominant mechanism and characteristic parameters representing the dominant mechanism are extracted, and particularly, the reasonability of a single-phase fluid hypothesis and a two-phase fluid hypothesis can be rapidly judged through the constructed dimensionless criterion; and establishing a partition prediction model by adopting a mechanism and data dual-drive framework. And finally, calling the corresponding sub-model according to the working condition and processing the cross-region continuity to realize high-precision heat transfer prediction in the full working condition range. The method solves the problem that a traditional method is difficult to predict full-temperature pressure interval heat transfer at high precision, and can be used for precise thermal design of the supercritical working medium in thermal equipment such as boilers, heat regenerators and coolers.

The invention discloses a fractured formation horizontal well wall stability quantitative control method under transient temperature and pressure coupling, and relates to the technical field of deep oil and gas drilling. The method comprises the following steps: analyzing the internal temperature of a drill column, the annulus temperature and the well wall temperature reflecting the transient temperature difference disturbance boundary effect by utilizing a drilling process API RP 13D rheological drilling fluid circulating temperature field control equation; establishing a dynamic ECD prediction model coupled with the annulus temperature and the pressure disturbance effect, and taking the transient temperature difference between the dynamic temperature of the well wall and the original temperature of the stratum, the transient pressure difference between the transient pressure of the well wall and the original pore pressure of the stratum and the transient stress difference between the transient pressure of the well wall and the original radial stress as dynamic disturbance boundary conditions; a pore pressure field and a stress field of rock around a well of the fractured formation under the heat-fluid-solid coupling effect under the non-uniform ground stress condition are analyzed in combination with a dual-pore thermoelasticity theory, a safe density window of the horizontal well of the fractured formation is determined, and well wall instability can be effectively prevented.

An intelligent heat pump system autonomously manages thermal regulation in heating and cooling modes using real-time sensor data and adaptive control algorithms. The system comprises a heat pump integrated with components including a supply valve, regulating valve, return valve, and compressor expander, along with multiple sensors configured to monitor temperature and pressure conditions at various points, including the reservoir, cold side, and hot side. A removable memory stores a directive file containing operational parameters, including target temperatures, valve timing, and pressure control data. A control unit with a processor executes firmware modules that include sensor calibration routines, motor and valve control logic, and an adaptive algorithm that continuously compares real-time sensor input against target parameters. Based on deviations, the system dynamically adjusts component operations to regulate refrigerant flow, internal energy, temperature, and pressure, thereby driving the system toward a steady-state thermal condition. This autonomous system ensures efficient performance, enhanced temperature stability, and optimal energy usage across a range of varying environmental conditions.

The invention relates to the technical field of air tightness detection, in particular to an air tightness detection method and system for a plastic pipe connecting piece, and the method comprises the steps: obtaining real-time pressure data and associated temperature data of the interior of a detected plastic connecting piece in an inflation and pressure maintaining process; inputting the real-time pressure data into a temperature and pressure coupling model for pressure value compensation correction to obtain a compensated pressure value only reflecting the leakage effect; performing time sequence change analysis on the compensated pressure value, and identifying and determining a starting time point when the pressure enters a stable state; extracting the dynamic attenuation characteristic of the compensated pressure value; and performing matching degree calculation on the dynamic attenuation characteristics and the reference model of the leakage-free basis behavior to generate an air tightness detection result of the plastic pipe connecting piece. According to the invention, the problem of interference of non-leakage factors such as environment temperature in air tightness detection is effectively solved, the inhibition capability of interference of non-leakage factors such as temperature is enhanced, and the accuracy and reliability of a detection result are improved.

A kind of high temperature and high pressure conditions under the fracture of compacted rock permeation resistivity measuring device and method, including: core holder, fluid injection system, resistivity measurement system, pressure applying device and heating device;The device can be carried out under the condition of high temperature and high pressure simultaneously, simulate the fluid permeation process of fractured rock under different temperature and pressure conditions, wherein resistivity measurement system can measure the rock resistivity of permeation process in real time.The device has high measurement accuracy, the test result is intuitive, the device structure is simple, the sealing property, corrosion resistance and heat insulation effect are excellent, can be applied to rock fracture permeation resistivity measurement under different conditions, can quantitatively analyze the influence of temperature, pressure, fluid properties and rock fracture on rock permeability and resistivity, establish the mathematical model of the relationship between permeability and resistivity of fractured rock, can provide theoretical basis for geothermal development reservoir permeability resistivity prediction and evaluation.

The invention provides a pressure and temperature cooperative measurement method for a piezoresistive MEMS pressure sensor, and the method comprises the following steps: S1, switching a resistor connection mode of an MEMS header of the piezoresistive MEMS pressure sensor through an MOS switch, and obtaining pressure and temperature signals in a time-sharing manner; s2, eliminating the influence of pressure on temperature measurement by using the equivalent resistance Req; and S3, based on the pre-stored temperature-pressure characteristic curve, compensating the temperature drift error in real time through a digital algorithm. According to the invention, cooperative measurement of pressure and temperature is realized by using a piezoresistive MEMS sensor gauge head piezoresistor, and calibration and compensation of temperature and pressure are realized through a digital algorithm; the design difficulty and process requirements of the piezoresistive temperature and pressure integrated sensor chip on the piezoresistive MEMS sensor header and the signal conditioning circuit are reduced, the measurement precision of temperature and pressure is improved, and the development and manufacturing cost of the piezoresistive temperature and pressure integrated sensor chip is reduced.

The invention discloses an oil cylinder sealing optimization system based on electromagnetic induction regulation and control, and the system comprises an electromagnetic induction unit, a coil of which generates an alternating magnetic field in a sealing area, and acts on a magnetic sensitive composite material sealing element; the sensor unit monitors the leakage rate, the temperature and the pressure in real time; the control unit executes a self-adaptive PID control algorithm, dynamically adjusts PID parameters according to sensor data, and outputs a PWM signal to control the electromagnetic induction unit so as to optimize the sealing performance in real time; the controllable alternating magnetic field is applied to the magnetic-sensitive sealing element through the electromagnetic induction unit, the elastic modulus and the contact pressure of the magnetic-sensitive sealing element are regulated in real time through the magnetocaloric or magnetostrictive effect, meanwhile, key parameters such as leakage, temperature and pressure are monitored in real time in combination with a sensor, and the sealing state is rapidly responded and dynamically adjusted through a self-adaptive PID algorithm in the control unit. Oil cylinder sealing can be self-optimized according to working condition changes, and the problem that traditional static sealing cannot adapt to dynamic working conditions is solved.

The invention discloses a galvanized steel pipe internal blowing process automatic control system and method, and belongs to the technical field of hot galvanizing process intelligent control. Steel pipe structure parameters are obtained and matched with a historical process model, and an initial temperature and pressure value is output; the temperature change rate delta T / delta t of the inner cavity of the steel pipe is collected, and a thermal state vector is established; calculating the current optimal internal blowing pressure P (t) and the pulse frequency f (t) by combining delta T / delta t with the initial parameters T0 and P0 through a fuzzy controller; a PWM driving signal is generated to control an electromagnetic valve and a fan to operate, so that the air blowing rhythm is regulated and controlled; by collecting a pressure falling curve after blowing each time, the falling rate dP / dt is calculated, and the desorption efficiency of the zinc liquid is evaluated; when the deviation exceeds a threshold value, the fuzzy rule base is automatically corrected, and self-learning and optimization of control parameters are achieved; the method improves the internal blowing precision and consistency, is high in adaptability, and can be widely applied to the field of intelligent manufacturing of hot-dip galvanized steel pipes.

The invention relates to the technical field of chemical production automatic control, in particular to a hexachlorodisilane automatic production control system and method. Data are corrected through the temperature compensation model, side reaction caused by inaccurate temperature is avoided, the temperature and pressure of the reaction kettle are adjusted through negative feedback of the self-adaptive temperature and pressure control model, a gain function is dynamically adjusted according to the reaction time, and the control precision is improved; on the basis of online component analysis, a mathematical regression analysis model is established, coefficients are determined through machine learning, and a production parameter optimization module is used for calculating the opening degree of a return valve and optimizing parameters of a rectifying tower so as to reduce by-products and guarantee the quality of hexachlorodisilane; according to a data analysis result, automatic safety inspection is automatically carried out, the explosion risk is quantitatively evaluated, leakage is detected and speculated through a leakage positioning algorithm, graded protection signals are matched, safety measures are executed, and production safety is guaranteed.

The invention discloses a measurement and control method for stable high-pressure water injection, and relates to the oilfield water injection technology. Related data in the water injection process are obtained; based on the flow related parameters and the water injection related data, utilizing a temperature influence model, a pressure control model and a corrosion evaluation and compensation model to comprehensively calculate a corrected flow value; if the collected flow is not consistent with the target flow, the opening degree of a flow adjusting valve is calculated according to set parameters; and regulating and controlling according to the calculated opening degree of the flow valve by utilizing an executing mechanism. An intelligent measurement and control system integrating multi-parameter real-time monitoring, multi-model cooperative calculation and self-adaptive dynamic regulation and control is constructed, comprehensive sensing and accurate processing of temperature and pressure changes and equipment corrosion conditions in the water injection process are achieved, and therefore stable and efficient operation of the high-pressure water injection process is guaranteed, the water injection quality is remarkably improved, and the water injection cost is reduced. The service life of water injection equipment is effectively prolonged, and production cost and safety risks are reduced.

The invention discloses an Ebnite rubber roller production method based on temperature and pressure intelligent regulation and control, and relates to the technical field of rubber roller production, and the method comprises the following steps: constructing a temperature collection credibility function according to a local temperature abnormal distribution matrix, carrying out fitting comparison on the temperature response of each collection point and a target temperature rise curve, and obtaining a target temperature rise curve; and generating a credibility index for judging the credibility of the temperature data, and correcting the judgment logic of temperature acquisition according to the abnormal change of the local temperature under the condition of abnormal heat conduction caused by air resistance in the vulcanization heating process. The problem of temperature control misjudgment caused by abnormal local heat conduction due to formation of air resistance in the vulcanizing and heating process of the Ebnite rubber roller is solved, dynamic identification and self-adaptive regulation and control on abnormal temperature and pressure are realized, sufficient vulcanization, uniform structure and stable performance of each area of the rubber roller are ensured, and the product quality and the service reliability are improved.

The invention relates to the technical field of industrial internet, in particular to a digital enabling management method and system for a monosodium glutamate production system, and the method comprises the following steps: obtaining a time sequence comparison number of a fermentation exhaust record division task, marking an abnormal task, extracting temperature and pressure data, recognizing a lagging state, calling a stirring and feeding gas path record, and screening rhythm abnormity. According to the method, through time sequence division and serial number comparison of the exhaust tasks, an abnormal task identification mechanism is constructed, and the cooperative lag state in the fermentation process is identified in combination with the time pairing relation of the temperature and the pressure, so that the time sequence of the exhaust tasks is divided, the time sequence of the exhaust tasks is compared with the serial number of the exhaust tasks, and the time sequence of the exhaust tasks is optimized. Stirring, feeding and gas path action records adjacent to the task are called, abnormal mapping between the auxiliary task and the main task is established, the beat sequence and configuration relation and the relation between the corresponding task behavior and the control rule in the scheduling table are adjusted, and the coverage range of abnormal recognition and the response efficiency of scheduling adjustment are improved.

The invention discloses an LSTM-based low-temperature measured value traceability method and a multimode calibration system, and the method achieves the quick switching of modules through the cooperative control of an LSTM model and a segmented PID, the continuous adjustment of a wide temperature region, the high-precision temperature control, the design of double cavities, and a quick disassembly structure, and is compatible with the calibration of a long-rod / short low-temperature thermometer (-196 to-80) DEG C. Through cooperative control of an LSTM prediction model and segmented PID, the heating rate reaches 5 DEG C / min, the overshoot is reduced to 0.1 DEG C from 0.5 DEG C of traditional PID, the stabilization time is shortened to 15 minutes (long rod module) from 25 minutes, the calibration efficiency is improved by 40%, and the liquid nitrogen consumption rate is reduced. A temperature and pressure multi-modal data fusion algorithm is integrated, calibration data correction processing is carried out, and the precision is improved compared with traditional single temperature parameter calibration.

The invention discloses an endoscope data processing method and system, and belongs to the field of endoscopes. The method comprises the steps that a basic pressure threshold a0 and a basic temperature threshold b0 of a user are set; collecting a pressure value a1 and a temperature value b1 through an endoscope; performing error correction on the pressure value a1 and the temperature value b1 through a compensation algorithm; according to the pressure value a1'and the temperature value b1 'after error correction, a basic pressure threshold value a0 and a basic temperature threshold value b0, a control strategy of the perfusion flow and the suction flow is generated; according to the control strategy, a PWM algorithm is adopted to generate control signals of perfusion driving and attraction driving; and the filter circuit and the isolation circuit are used for processing the control signal. In order to solve the problem that perfusion and suction flow control is not coordinated in the endoscopic surgery process in the prior art, four control strategies are generated through an error compensation algorithm and according to temperature and pressure parameters, and the stability of perfusion and suction flow control is improved.

A box suction mold comprises a mold bottom plate, a lower pressing frame, a mold core frame, a main control box connected with the mold bottom plate, a counter connected with the mold bottom plate and the lower pressing frame, a plurality of temperature sensors and a plurality of in-cavity pressure sensors laid on the mold core frame, and a main control unit connected with the temperature sensors and the in-cavity pressure sensors. The cavity external pressure sensor is used for detecting the pressure outside the mold cavity; the counting box is connected with the bottom plate; and a counting unit is arranged in the counting box. According to the technical scheme provided by the utility model, real-time monitoring of parameters such as temperature, pressure and the like in the plastic uptake forming process is realized by applying the sensor, the energy consumption can be reduced, the product quality and the production efficiency can be improved, and the operation safety and the equipment reliability can be improved.

The invention provides an integrated temperature and pressure reduction device based on pressure control and a working method, and belongs to the technical field of steam utilization. The problems that in the prior art, temperature and pressure reduction operation of steam is difficult to achieve efficiently and accurately, and the steam utilization efficiency and safety are affected are solved. The temperature and pressure reducing valve comprises a main flowing pipe, a temperature and pressure reducing cavity, an inner sealing face, an outer sealing face and a pressure control spring, a temperature and pressure reducing water inlet is formed in the upper portion of the main flowing pipe, the temperature and pressure reducing cavity is installed in the main flowing pipe, the temperature and pressure reducing water inlet is communicated with the temperature and pressure reducing cavity, and the inner sealing face is arranged on the inner wall of the main flowing pipe. An inner sealing face is arranged on the outer wall of the temperature and pressure reduction cavity, an outer sealing face is arranged on the outer wall of the temperature and pressure reduction cavity and makes contact with the inner sealing face in a matched mode, a plurality of runners are arranged at the tail end of the temperature and pressure reduction cavity, the pressure control spring is installed between the outer wall of the tail end of the temperature and pressure reduction cavity and the inner wall of the flowing main pipe, and the initial state of the pressure control spring is a compressed state. The device is mainly used for reducing temperature and pressure.

The invention belongs to the technical field of gas-liquid two-phase oil and gas exploitation, particularly relates to a gas-liquid two-phase measuring device and method with temperature and pressure correction, and aims to solve the problem that a method in the prior art cannot meet the requirements for precision, reliability and cost performance at the same time. The invention discloses a gas-liquid two-phase measuring device and method with temperature and pressure correction. The device comprises a vortex precession flowmeter, an orifice plate flowmeter, a pressure transmitter and a temperature transmitter. The method comprises the following steps: calculating the correction density of a gas phase object under a working condition by combining a gas phase state equation; based on the overall volume flow and the volume flow of the gas phase object, the volume flow of the liquid phase object in the working state is calculated; further calculating the mass flow rate of the gas phase object under the working condition; further calculating the standard volume flow of the gas phase object under the standard working condition by combining the law of conservation of mass; and finally, calculating the accumulated volume flow of the gas-liquid two-phase object. The invention provides the metering device and the metering method which are good in stability and high in metering precision.