62 results about "Ideal gas" patented technology

The invention discloses a natural gas-diesel oil injection switching control system of a dual-fuel diesel engine, which relates to the technical field of automatic control and comprises a data acquisition monitoring module, a fuel analysis module, a prediction control module, a control optimization module and a switching protection module. Engine operation parameter data are collected in real time through an engine sensor interface and preprocessed, and fuel dynamic proportion analysis is carried out according to different rotating speeds and load intervals of an engine by taking a preset proportion as an initial reference datum and applying an intelligent algorithm; the engine can obtain the most appropriate natural gas and diesel oil mixing proportion under various working conditions, according to an ideal gas state equation, based on pressure and temperature data, monitored in real time, in a gas supply pipeline, dynamic compensation is conducted on the gas volume flow, real-time gas supply energy is calculated, the gas supply amount can be accurately controlled in the mode, and the gas supply efficiency is improved. It is guaranteed that the engine obtains stable and accurate energy supply, and therefore stable operation of the engine is maintained.

The invention provides a method for simulating the influence of montmorillonite clay mineral water on organic matter pyrolysis hydrocarbon generation, and belongs to the technical field of organic matter pyrolysis. The method comprises the following steps: heating montmorillonite to obtain dehydrated montmorillonite, mixing organic matters and the dehydrated montmorillonite in an argon atmosphere and a dry environment, transferring a mixed sample into a gold tube, and loading the sample; putting the gold tube into an iron reaction kettle, filling the reaction kettle with water, and cooling after heating reaction; putting the cooled gold tube into a gas collecting device, and calculating the amount of substance of gas according to an ideal gas state equation; the collected gas is subjected to GC analysis to obtain the percentage of each gas, the yield of each gas is calculated by combining the amount of substance of the gas, and the influence of the montmorillonite clay endogenous water on hydrocarbon generation by thermal decomposition of organic matters is evaluated. Under the condition that only the unified boundary condition of clay mineral water is changed, a verifiable judgment system of'endogenous water type-product spectrum characteristic-reaction channel 'is established for the first time.

The application discloses an air dynamic test platform vacuum equipment leakage fault diagnosis method and system, aiming at solving the problems that the existing method is difficult to adapt to the complex time-varying characteristics of mixed gas, data is sparse, and lack of interpretability. The method first collects time series pressure data through a conventional pressure sensor, uses the ideal gas state equation as a physical mechanism model, deduces a leakage rate calculation equation, and extracts key characteristics of instantaneous leakage rate and cumulative leakage rate; then a BP neural network is constructed as a data-driven model, taking the leakage rate as input, and outputting normal and abnormal judgments after training with historical data. The application innovatively integrates physical mechanism and machine learning, without the need for special detection equipment, ensuring the interpretability of the diagnosis results, improving the diagnosis accuracy and reliability under small sample and variable working conditions, and realizing high-precision, low-cost air tightness online monitoring and early warning.

The invention discloses a method and device for estimating residual waste gas in a cylinder of a hydrogen combustion range extender, a vehicle and a medium, and relates to the technical field of vehicle engines, and the method comprises the steps: building a waste gas flow model at an exhaust valve based on engine structure parameters, a pressure signal and a temperature signal of an exhaust manifold, and exhaust efficiency; on the basis of the inlet waste gas flow of the exhaust manifold and the outlet waste gas flow of the exhaust manifold, according to the mass conservation relation and the ideal gas state equation, an exhaust pressure average value discrete dynamic model of the exhaust manifold is built; constructing a self-adaptive observer based on an exhaust pressure average discrete dynamic model, and estimating the exhaust efficiency; according to the online estimation result of the exhaust efficiency, the mass of exhaust gas exhausted in each cycle is obtained, and the amount of residual exhaust gas in the cylinder is calculated. By adopting the method, the mass of exhaust gas in each cycle and the amount of residual exhaust gas in the cylinder can be accurately estimated in real time in the actual vehicle running process, so that reliable reference is provided for combustion control and emission optimization.

The invention provides an escaping carbon source emission monitoring method and system and a medium, and belongs to the technical field of carbon emission monitoring. The method comprises the steps that a pressure sensor is installed on the side, close to an indoor unit, in a refrigerant pipe connecting the indoor unit and an outdoor unit of refrigeration equipment, and a temperature sensor is installed in the refrigerant pipe of the indoor unit; when the refrigeration equipment is in a stable operation working condition and the external environment condition is constant, temperature regulation and control are started, the temperature of a refrigerant in a refrigerant pipe of an indoor unit is regulated and controlled and stabilized at a preset temperature, real-time pressure data collected by a pressure sensor are obtained, smooth filtering processing is carried out, and an average pressure value is obtained; and a pressure and medium quantity relation model is established based on the ideal gas state equation, the refrigerant dissipation amount is calculated by combining the initial pressure value and the initial refrigerant mass in the refrigerant pipe obtained during initial filling and the calculated average pressure value, and then the refrigerant dissipation amount is pushed to an enterprise carbon management platform. According to the invention, the sensor layout and algorithm are optimized, refrigerant dissipation is accurately monitored, and carbon emission accounting is realized.

The invention provides an energy storage container pressure building and energy storage stage volume linear variable process modeling and simulation method. The method comprises the steps that a pressure-time mathematical model in a container in the energy storage process of a hydraulic compressed air system is established; initial pressure building and energy storage are divided into four sub-steps, liquid is alternately pumped into two acting containers, pressurized gas is pushed to enter an energy storage container, and multiple times of inflation are completed in a circulating mode; based on 12 thermodynamic assumptions (such as temperature uniformity, ideal gas state, quasi-steady state process and the like), deriving functions of pressure and gas volume changing along with time; and a pressure change curve is obtained through simulation calculation. According to the method, the dynamic characteristics of the energy storage process can be accurately described, the change relation between physical quantities is reflected, a theoretical basis is provided for system working condition analysis, parameter matching and optimization design, meanwhile, an ideal mathematical model is established by simplifying coupling factors, and a target is provided for calculation of the maximum energy storage capacity of the system.

The application provides a dynamic measurement method and system based on parallel differential pressure analysis, and relates to the technical field of gas-liquid mass transfer measurement. The method adopts a measurement unit and a control unit in parallel, a first closed container of the measurement unit containing liquid and gas, and the initial volume of the gas phase in a second closed container of the control unit being the same as the volume of the gas in the first closed container. After the pressure of the two containers is synchronously and suddenly increased to the initial pressure P0 by synchronous pressure excitation, the system is closed, and the pressure decay curves P1(t) and P2(t) in the two containers are synchronously collected. After differential processing, the influence of system leakage is eliminated, and the net pressure decay curve ΔP(t) is obtained. Based on the ideal gas state equation, the change amount of the dissolved gas mass with time is inversed, and the dissolution kinetics data are obtained. The application can dynamically and accurately measure the gas dissolution process, effectively eliminates the leakage interference, and provides key dissolution kinetics data for gas-liquid mass transfer engineering.

The invention provides an energy storage container pressure building and energy storage stage constant power isothermal process modeling and simulation method, which comprises the following steps of: firstly, building a dynamic mathematical model of an energy storage process of a hydraulic compressed air system, and circularly executing an initial pressure building and energy storage stage by dividing the initial pressure building and energy storage stage into four sub-steps; the compressed gas enters the energy storage container, and meanwhile liquid backflow is completed. Modeling is based on six assumed conditions including an isothermal process, an ideal gas state equation and the like, and a function relation between pressure and gas volume changing along with time is deduced. A dynamic curve of the pressure changing along with time can be obtained through simulation calculation. The method can accurately describe the dynamic characteristics of each physical quantity in the energy storage process, provides a theoretical basis for system working condition analysis, parameter matching and optimization design, simplifies complex coupling factors, and establishes a maximum energy storage capacity mathematical model under ideal conditions.

The invention discloses a method for measuring the gas content in a die casting, and belongs to the technical field of material detection. The method comprises the following steps: loading a sample into the closed desorption cavity; vacuumizing and pre-degassing the cavity by using an oil-free high-vacuum acquisition module formed by connecting a molecular pump and a dry-type screw pump in series; stepwise heating is carried out on the sample through program temperature control; the released gas is guided into a differential pressure sensing metering unit through a low-thermal-conductivity aluminum oxide ceramic isolation tube; the unit comprises a reference cavity and a measuring cavity which are arranged in the same constant temperature device, and the gas inflow rate is dynamically represented by measuring the pressure difference between the two cavities; and based on the ideal gas state equation and a calculation model containing cavity thermal expansion compensation, calculating the amount of the gas substance in unit time in real time. The problems of poor precision and repeatability caused by oil pollution, thermal interference and discontinuous metering are solved, and continuous, dynamic and high-repeatability automatic measurement of the gas content in the die casting is realized.

The invention provides a modeling and simulation method for a pressure linear isothermal process in a pressure building and energy storage stage of an energy storage container. The modeling and simulation method comprises the following steps: establishing a pressure-time mathematical model in the container in an energy storage process of a hydraulic compressed air system; an initial pressure building and energy storage stage is divided into four sub-steps, and multi-cycle compression and transfer of gas are achieved by alternately using two acting containers; based on six idealized assumptions (including an isothermal process, an ideal gas state equation and the like), a thermodynamic law is combined to derive functions of pressure and gas volume changing along with time; and finally, a pressure-time change curve is obtained through simulation calculation. According to the method, the dynamic characteristics of the energy storage process can be accurately described, the dynamic relation between physical quantities can be revealed, a theoretical basis is provided for system working condition analysis, parameter matching and optimization design, meanwhile, a maximum energy storage capacity mathematical model under ideal conditions is established by simplifying coupling factors, and the method has important engineering application value.

The invention discloses a real-time monitoring and digital twinning method for a superplastic forming process, which relates to the field of superplastic forming, and is characterized in that the volume of gas in a thin-walled part in the superplastic forming process is calculated through theoretical analysis and integration of an ideal gas state equation, and a calculation result is output to a computer. A finite element simulation database is constructed, data calling is carried out, the superplastic deformation process of the thin-wall part can be displayed in real time, and superplastic forming digital twinning and real-time monitoring are achieved. The problem that the high temperature in the superplastic forming die cannot be monitored in a closed environment is solved. According to the invention, the ideal gas state equation is associated with the gas temperature, volume and pressure intensity, and the volume change caused by the change of the temperature and the pressure intensity is calculated through integration through the ideal gas state equation. The superplastic forming condition of the thin-wall part can be monitored in real time by calculating the volume of the gas in the plate in the superplastic forming process.

This invention discloses a PINN air shock wave capture method based on a Mach cone spatial causal bimatrix, belonging to the fields of aerodynamics, high-speed compressible air fluid simulation, and physical information neural networks. This method is designed for supersonic or transonic airflow fields. The physical information neural network outputs air density, velocity vector, and pressure, and obtains the total energy E and the physically permissible state through positive mapping and the ideal gas equation of state. Local air states and differentiable interface fluxes are constructed on the adjacent interfaces of sampling points, forming local conserved residuals of mass, momentum, and energy. Furthermore, a Mach cone spatial causal bimatrix is ​​constructed based on the local Mach number M, Mach cone half-angle, characteristic wave velocity sign, interface normal vector, and relative positions of adjacent points. The forward flux weight matrix is ​​applied to the residual contribution, and the backpropagation weight matrix is ​​applied to the gradient backpropagation, thereby suppressing the non-physical backpropagation of downstream errors to the upstream air state. This method takes the Mach cone spatial causal dual matrix as its core innovation, and the local control volume and differentiable interface flux are only used as auxiliary carriers to realize spatial causal constraints. It can reduce the risks of shock wave over-smoothing, position drift, local non-conservation and negative density pressure in air shock wave capture.

The application discloses a tunnel pressure fluctuation simulation method and device, equipment and a storage medium, and relates to the technical field of pressure simulation. The method comprises the following steps: obtaining a to-be-simulated pressure curve according to train outside pressure data of a train during train driving in a tunnel; determining flow rate time sequence data corresponding to the to-be-simulated pressure curve according to a pressure-flow rate relationship; the pressure-flow rate relationship is determined according to an ideal gas state equation and a mass-flow rate relationship; and controlling the gas flow rate of a numerical simulation model according to the flow rate time sequence data to simulate a tunnel pressure wave and obtain a simulated pressure curve. As can be seen from the above, the train driving in the tunnel is no longer simulated, but the pressure wave generated by the train extruding air in the tunnel is directly simulated; and the flow rate time sequence data is generated according to the pressure-flow rate relationship, so that the gas flow rate of the numerical simulation model is controlled according to the flow rate time sequence data to simulate the tunnel pressure wave, obtain the simulated pressure curve, and realize efficient pressure fluctuation reproduction.

The invention discloses an electrical control system for chemical production, relates to the field of electrical control, and realizes accurate management and control of the risk of migration of hydrogen to a chlorine side through multi-module cooperation. Integrating the zero current confirmation position, the pressure difference between the anode chamber and the cathode chamber and the hydrogen molar flow through a signal triggering module to generate a signal triggering position; when the washing purification module is triggered, a volume flow set value is calculated based on an ideal gas state equation, and a chlorine pipeline diverter valve is adjusted through a controller, so that the actual purification flow is matched with the set value to purify hydrogen-containing chlorine; when the gas release module is triggered, a chlorine side release valve is opened, the molar weight of gas needing to be released is calculated to serve as a target threshold value, after it is monitored that the actual release amount reaches the target threshold value, the valve is closed, and the pressure difference is updated; and the reset permission module generates a reset permission bit in combination with the update pressure difference and the consistency residual error, and starts reset to enable the system to return to a monitoring state when a condition is met. The system improves the safety and stability of chemical production.

The invention discloses a method for measuring the micro-leakage rate of target gas in an airtight container. The method comprises the steps that the target gas with the first pressure P1 is injected into the airtight container (10); placing the airtight container in an airtight cylinder (20); the airtight cylinder body is vacuumized, and high-purity gas with the second pressure P2 different from the target gas is injected; putting the airtight cylinder body into an isolation box (30), vacuumizing and standing for a plurality of days; the airtight cylinder body is taken out, and the concentration Cp of target gas in the airtight cylinder body is detected; and calculating the micro-leakage rate Q of the target gas in the airtight container based on the concentration Cp, wherein P2 is the pressure of the high-purity gas filled in the airtight cylinder body, Vg is the volume in the airtight cylinder body, Vc is the volume of the airtight container, Cp is the concentration of the target gas, t is the standing time, R is the ideal gas state parameter, and T is the absolute temperature of the airtight cylinder body.

The invention provides an intelligent pneumoperitoneum system with dynamic smoke removal and constant pressure functions and a using method, the intelligent pneumoperitoneum system comprises a suction and pneumoperitoneum all-in-one machine and a double-cavity aspirator head, the suction and pneumoperitoneum all-in-one machine comprises a shell and a containing space located in the shell, and a control module, a gas supply channel and a gas recovery and purification channel are arranged in the shell; the double-cavity aspirator head is connected with the gas supply passage and the gas recovery and purification passage; the system collects smoke concentration and pressure signals in the abdominal cavity in real time through the smoke concentration detection module and the outlet pressure gauge which are integrated in the double-cavity aspirator head and feeds back the smoke concentration and pressure signals to the control module. The control module constructs a closed-loop control algorithm based on an ideal gas state equation, the suction power of the suction module and the gas inlet rate of the pressure regulating module are dynamically and cooperatively regulated, and rapid removal of smoke in an operation and dynamic stability of pneumoperitoneum pressure are achieved. Two-stage waste gas filtration is integrated, it is ensured that exhausted gas is harmless, and the integrated guarantee of clear surgical view, coherent operation and patient safety is achieved.

The application discloses a kind of quality flow test methods of automobile safety air bag gas generator based on acceleration sensor, utilize rigid container, piston, acceleration sensor, refrigeration type infrared thermal imager, pressure sensor and data recording device;The linear motion process of piston is measured by acceleration sensor, and the volume of gas generated by gas generator is converted;Combining the measured gas pressure, temperature, the gas density is solved by ideal gas state equation;Gas volume and density are solved by gas mass flow and its dynamic change.By the application, the mass flow of mixed gas generated after ignition of air bag gas generator and the mass flow of single gas component can be measured, and a gas mass flow test method is provided for the research and production of actual air bag gas generator.

The invention discloses a high-precision high-temperature centrifugal pump performance index prediction method and device and electronic equipment, and the method comprises the steps: constructing a density coupling function of medium density, temperature and pressure according to an ideal gas state equation and a Tammann equation; embedding the density coupling function into a FLUENT solver through a user-defined function UDF, and performing real-time dynamic correction on the medium physical property of the calculation unit in an unsteady numerical simulation process to obtain a corrected physical property parameter; based on the corrected physical property parameters, FLUENT is adopted to conduct unsteady numerical simulation on the whole flow field of the high-temperature centrifugal pump to be predicted, and input shaft power, pressure and speed of an internal flow field and transient flow field data are obtained; and calculating lift and efficiency based on the input shaft power, pressure, speed and fluid inlet and outlet water heads. And accurate prediction of the pump performance indexes of the pump can be realized.

The invention belongs to the field of stratum elastic parameter analysis, and particularly relates to a shale pore compressibility coefficient measuring method. According to the determination method, alkane gas is used for replacing methane to serve as a saturated medium, the response of 1H in a magnetic field after shale cores are saturated with alkane is detected through nuclear magnetic resonance, and the pore space volumes of the shale under different confining pressures are quantitatively represented through a nuclear magnetic resonance T2 atlas and an ideal gas state equation. The saturation degree of the new saturated medium on the rock core is more sufficient, and the influence of shale micro-nano pores can be fully reflected; in the core saturation process, water swelling does not occur, and the influence of the pipeline blank volume does not need to be considered, so that the shale pore compressibility can be measured more accurately.

The invention provides a gas-liquid phase change numerical simulation method and system considering the influence of CO2 non-condensable gas, and the method comprises the steps: building a multi-component multi-phase fluid lattice Boltzmann pseudo-potential model, and simulating the flow of a multi-component multi-phase fluid; establishing a non-ideal gas state equation and an ideal gas state equation to obtain a relationship among density, temperature and pressure; establishing a temperature equation, and calculating the temperature of the multi-component multi-phase fluid; establishing a non-ideal gas potential function and an ideal gas potential function, and coupling the lattice Boltzmann pseudo-potential model and the temperature equation through potential functions; setting boundary conditions, and completing a numerical simulation process. The problems that the existing multi-component multi-phase fluid flow and heat transfer characterization difficulty is large, and the interface dynamic behavior in the gas-liquid phase change process is difficult to accurately obtain through experimental measurement are solved, and a scientific basis is provided for improving the CO2 and water vapor separation efficiency by regulating and controlling the supercooled wall surface temperature and the wall surface wettability. And algorithm reference is provided for phase change separation of other types of mixed gases.

This invention belongs to the field of nuclear reactor target safety design, specifically relating to a method and system for calculating the internal pressure of a target based on the amount of tellurium compound. The method first determines the required core data; based on the mass and density of the tellurium compound, the effective volume of iodine vapor inside the target is calculated, where the effective volume is the internal volume of the target minus the volume occupied by the tellurium compound; based on the mass of the tellurium compound, the tellurium element mass fraction, and the number of iodine molecules generated per unit mass of tellurium element, the total amount of iodine vapor is calculated; based on the ideal gas law, the internal pressure of the target is calculated using the total amount of vapor, the gas constant, the operating temperature, and the effective volume. This invention establishes a dynamic correlation between the amount of tellurium compound and the effective volume, clarifies the mass conversion relationship between Te and the tellurium compound, and constructs a high-precision I-131 target internal pressure calculation model, possessing significant engineering application value and theoretical innovation significance.

The application discloses a portable hydrogen fuel cell safety hydrogen supply and pressure stabilizing system and belongs to the technical field of hydrogen fuel cells. The system comprises a pulse injection valve and an injection pressure stabilizing assembly arranged along a flow direction. The assembly comprises a central injection pipe and a peripheral pressure stabilizing cavity sleeved outside the central injection pipe, an annular cavity with fixed volume parameters is formed between the central injection pipe and the peripheral pressure stabilizing cavity, and the mixed pressure expansion section pipe wall is provided with a flow guide hole penetrating into the cavity. The system further comprises a sensor module and a control unit. The control unit performs boundary constraint calculation based on the ideal gas state equation and the pressure limit of the electric pile, determines the safety threshold of the maximum opening duration of the pulse valve in a single time, and combines the load working condition to distinguish the low-load pulse and the high-load straight-through working condition, thereby realizing selective boundary constraint of the pulse injection valve driving signal. Through the cooperation of the physical structure and the electronic constraint depth, the impact risk of excessive hydrogen injection is eliminated, the continuous hydrogen supply and the stable pressure in the full power range are ensured, and the system operation safety and reliability are improved.

A method of calibrating a plurality of chamber pressure sensors is provided. In a method of calibrating a plurality of chamber pressure sensors of a substrate processing system, the substrate processing system is provided with a plurality of chambers and a plurality of chamber pressure sensors arranged to measure pressures in the plurality of chambers, respectively. The plurality of chamber pressure sensors are calibrated by comparing, for all of the chamber pressure sensors, a measured value of a rate of change of pressure of a chamber generated by flowing a gas at a predetermined flow rate to the chamber, measured by the chamber pressure sensor, with a calculated value of the rate of change of pressure of the chamber calculated by treating the gas at the flow rate as an ideal gas. In calculating the rate of change of pressure of the chamber, a volume of a plurality of gas flow paths of the substrate processing system is used in the calculation, and the volume of the gas flow path is calculated in advance by using a pressure measurement value of the gas flow path and treating the gas as an ideal gas.

The invention discloses a method for calculating a trajectory in a gas ejection water-out navigation body by considering a complex unsteady mechanical process, and belongs to the technical field of ejection of water-out navigation bodies. Establishing a simulation system; a calculation model of the inner ballistic trajectory of the aerobomb of the water-out navigation body considering the complex unsteady mechanical process is established, wherein the total resistance of the calculation model comprises unsteady additional mass force, unsteady pressure difference resistance, unsteady barrel inner friction resistance, gravity and unsteady environment pressure; and a fourth-order Runge-Kutta method RK-4 is adopted to carry out iterative solution on the calculation model of the trajectory in the aerobomb of the water-exiting navigation body to obtain the pressure intensity of a low-pressure chamber and the speed of the navigation body considering the complex unsteady mechanical process, and calculation of the trajectory in the aerobomb water-exiting navigation body considering the complex unsteady mechanical process is achieved. The method aims at solving the problem that due to the fact that thermodynamic parameter characteristic description is not real due to the fact that an ideal gas state equation is adopted, the total resistance factor is simplified into the object virtual mass and added into the object total mass in the calculation process for normalization processing, and the inner trajectory prediction error is large.

The invention provides a device and a method for measuring the porosity of dry gravel in a box based on an ideal gas method, and relates to the technical field of porosity measurement of a gravel model test. The device comprises an air compressor, and the air compressor is connected with an air delivery pipe; a first barometer is arranged at the top of the gas collection tank; a gas conveying valve is arranged at the bottom of the gas collection tank; a bottom plate of the gas collection tank is connected with a gas injection cylinder; the upper part of the gas injection cylinder is aligned with and connected with the gas conveying valve; a sealing box cavity is formed below the sealing box upper top plate, a sealing box lower bottom plate is arranged below the sealing box cavity, and exhaust holes are formed in the sealing box lower bottom plate. According to the invention, the porosity of the sandstone can be accurately and rapidly measured in the model box, and the problem that the result is inconsistent with the actual result due to the fact that the sandstone sample is independently moved from the model box to other places for measurement is avoided.

The application relates to the technical field of air tightness detection, and specifically discloses a tool air tightness detection data intelligent analysis method and system, which comprises the following steps: collecting pressure, environmental temperature signals and time parameters in real time; performing dynamic temperature compensation on the pressure based on an ideal gas state equation and by introducing a temperature change rate to obtain compensated pressure values and compensation residuals; performing online verification on operation standardization based on the compensated pressure; calculating an equivalent pressure leakage rate, pressure curve nonlinearity and compensation residual fluctuation coefficient based on pressure maintaining stage data to obtain a comprehensive aging index for evaluating the state of a sealing element; calculating a leakage trend slope, a residual trend slope and a temperature change rate response consistency from historical data to obtain a comprehensive trend index for judging performance degradation; and outputting results and early warnings. Through multi-parameter fusion analysis, the application can realize high-precision temperature compensation, online quantitative evaluation of sealing element aging and early warning of performance degradation, reduces the misjudgment and omission rates, and supports predictive maintenance.

The application discloses a method for optimizing a reverse cam mechanism profile and evaluating dynamic stability, comprising the following steps: constructing a simple harmonic motion cam profile equation containing parameter correction based on the motion law of a crank slider mechanism; establishing a four-degree-of-freedom dynamic equation containing time-varying contact stiffness of the reverse cam mechanism based on Newton's second law; calculating the gas pressure and gas stiffness in the cylinder by using the ideal gas polytropic process theory; calculating the curvature radius of each point of the cam profile equation, and constructing a stiffness matrix of the reverse cam mechanism in combination with the time-varying contact stiffness and the gas stiffness; solving the four-order time-varying natural frequency of the reverse cam mechanism corresponding to the stiffness matrix, and analyzing the unstable domain under parameter excitation by using the Floquet theory to determine the parameter value range of the simple harmonic motion cam profile equation containing the parameter correction.

The invention provides a waste liquid bag expansion early warning method and device for blood purification equipment, and the method comprises the steps: obtaining the initial air volume Vair0 and pressure P0 of a waste liquid bag after the blood purification equipment completes the pre-flushing; when the blood purifier carries out blood purification, the real-time waste liquid weight Wt of the waste liquid bag is obtained, and the real-time waste liquid volume Vfluid of the waste liquid bag is determined according to the Wt; on the basis of the ideal gas state equation under the constant temperature and the pre-established P-Vbag relation, at least one of the real-time in-bag total volume Vbag and the in-bag pressure P of the waste liquid bag is obtained according to the Vair0, the P0 and the Vfluid; and determining the real-time expansion state of the waste liquid bag according to at least one of the Vbag and the P of the waste liquid bag. The expansion state of the waste liquid bag can be monitored, an alarm is given out once the waste liquid bag reaches the expansion limit, and the risk that the waste liquid bag splashes outwards is reduced.

The present application provides a turbine dual-fuel switching control method with adaptive gas pressure threshold, belonging to the technical field of turbine generator set, and applied to turbine units that have completed dual-fuel modification. The method retains the original manual oil switching function, constructs a near-point turbine inlet side and a far-point gas buffer tank double-pressure acquisition unit, adaptively calculates the oil switching pressure threshold based on the ideal gas state equation and the dynamic working condition correction model, configures a double-path trigger mechanism, and when any path meets the trigger condition, the turbine control system automatically executes the gas-to-oil switching program. The present application solves the problems of traditional manual oil switching, such as dependence on manual operation, response lag, fuel waste, etc., and the oil switching time is ≤1 min, the power fluctuation is ≤300 kW, which significantly improves the stability, economy and risk resistance of the unit operation, and is especially suitable for scenes with high requirements for power supply reliability, such as offshore platforms.

This invention discloses a multi-field coupled numerical simulation method for underground coal gasification, relating to the field of energy development technology. The invention first constructs a multi-field coupled physicochemical control model, a porosity dynamic evolution model, a permeability dynamic evolution model, and a non-ideal gas thermodynamic model to realistically recreate the underground coal gasification process. Based on these models, a fully autonomous and controllable numerical simulation framework is built from the ground up. The finite volume method is used to spatially discretize the governing equations, and a fully implicit nonlinear solver is developed to perform fully coupled iterative solutions for all physical fields within the same time step. Using the structural parameters and internal medium parameters of the actual coal seam, the spatiotemporal evolution laws of the temperature field, pressure field, component concentration field, and porosity / permeability parameters during the underground coal gasification process are obtained using the constructed underground coal gasification numerical solver. By combining dynamic property evolution with accurate thermodynamic simulation, a precise simulation of the underground coal gasification process is achieved.