683 results about "Cylinder pressure" patented technology

The invention provides a reinforced diesel engine friction pair on-line wear detection device and a wear detection method. The reinforced diesel engine friction pair on-line wear detection device comprises a wear calculation terminal, an NI-PXIe8115 acquisition instrument, a sampling detection circulating oil path, a cylinder pressure sensor, a rotating speed sensor, a vibration sensor, an acoustic emission sensor, a six-in-one lubricating oil physical and chemical sensor, an abrasive particle sensor, an abrasive particle visual sensor and a CAN / USB / RS485 communication interface. The method has the beneficial effects that the load of a friction pair of the strengthened diesel engine is large, the process from symptoms to failure is extremely short, and serious fault events are difficult to control, the device can quickly warn an abnormal state after being implemented, gives a corresponding action instruction to a user, and provides a reliable identification means for strengthening research, development and operation safety of the diesel engine.

The invention discloses a radial forging machine chuck rotation oscillation braking electro-hydraulic control system and method, and the control system comprises a position detection encoder installed on a hammer head of a forging main machine, a hydraulic servo motion controller, a high-frequency servo valve, an oscillation braking oil cylinder with the same area as an A cavity and a B cavity, and an oscillation braking device with a worm gear and a worm. The pressure sensor and the displacement sensor are integrated on the oil cylinder to form a closed-loop control loop; the control method comprises the following steps: activating an oscillation braking function and collecting hammer phase, oil cylinder pressure and displacement signals in real time; a sine control signal synchronous with the forging frequency is generated based on the brake phase of 270-360 degrees; a brake oil cylinder is driven to push the worm to axially move, and the rotating speed of the chuck is modulated through the helix angle characteristic; and the amplitude is dynamically adjusted through a displacement-pressure feedback signal, and 25MPa overrun protection is executed. The purposes of reducing the brake response delay rate, the forge piece distortion rate and the equipment impact load are achieved, and 90-620 times / min wide-frequency-domain forging is supported.

The invention discloses a digital twin intelligent test run system based on a marine medium-speed diesel engine and a monitoring method, relates to the technical field of monitoring, and is used for solving the problems of degeneration identification lag and low emission early warning precision of an oil injector. The system comprises a multi-source heterogeneous data preprocessing module and a running state intelligent diagnosis module. The multi-dimensional data acquisition module is used for acquiring in-cylinder pressure, crankshaft torsional vibration and transient air-fuel ratio signals to construct multi-dimensional data vectors, and the multi-dimensional data acquisition module is used for analyzing combustion fluctuation characteristics based on an attention mechanism LSTM (Long Short Term Memory) network, identifying early deterioration of an oil injector and outputting an oil injection consistency coefficient and a fault type identifier. The method comprises the steps that according to an oil injection consistency coefficient, electromagnetic valve response delay and combustion parameter correlation are tracked, a degradation trend is predicted, and emission early warning is generated; and according to prediction and early warning results, fuel injection compensation parameters are dynamically adjusted in the digital twinborn model, a recursive least square method is adopted to identify combustion parameters and feed the combustion parameters back to an electric control unit, and self-adaptive optimization and closed-loop control in the test run stage are achieved.

The invention discloses a sand gravel stratum pipe jacking force-stratum resistance real-time matching control method, belongs to the technical field of underground engineering pipe jacking construction, and solves the technical problems of pipe clamping, ground upheaval or settlement easily caused by mismatching of jacking force and stratum resistance in a sand gravel stratum. According to the method, the jacking force is calculated by collecting the pressure of a jacking oil cylinder in real time, the torque of a cutter head, the rotating speed of a spiral conveyor and the soil outlet pressure are synchronously obtained, and a resistance sudden change area is recognized and target resistance is dynamically predicted based on the sudden change gradient of the torque-rotating speed ratio; the jacking speed, the grouting pressure and the rotating speed of the spiral conveyor are adjusted in a linkage mode according to the real-time deviation of the jacking force and the target resistance; and through grouting closed-loop control and unearthed pressure fluctuation analysis, a penetration abnormal area is judged, a penetration coefficient is corrected, and real-time dynamic matching of jacking system parameters and formation resistance is achieved. The method is mainly used for safe and efficient propulsion control of sand gravel stratum pipe jacking construction.

The invention relates to the technical field of methanol combustion optimization, in particular to a methanol fuel combustion multi-target collaborative optimization method and a self-adaptive energy consumption regulation and control system, and solves the problem of balance between model precision and real-time optimization efficiency. The method comprises the following steps: constructing a special digital twinborn model, integrating a parameterized chemical reaction dynamic sub-model, a calibration interface dynamically coupled with real-time in-cylinder pressure data and a flow field simulation module, and continuously and dynamically updating; parallel simulation control parameter combination is carried out by using the dynamic model, and multi-target performance including at least two items of heat efficiency, NOx emission and combustion stability is predicted; outputting an optimization parameter set through Pareto frontier analysis of a multi-objective optimization algorithm; and finally, combining the parameter set with the real-time state of the model to select a control parameter to adjust the operation of the equipment, thereby realizing multi-target collaborative optimization and self-adaptive energy consumption regulation and control. According to the method, the system working condition adaptability, the multi-target optimization fineness and the energy consumption regulation and control intelligent level are improved.

The invention discloses an intelligent peak regulation method with optimized combination of energy storage and conventional peak regulation means, and the method comprises the following steps: building a holographic situation awareness layer: capturing the voltage, current phase angle and frequency deviation of a power grid, and monitoring the pressure fluctuation in a diesel engine cylinder; data transmission and preprocessing: encrypting data of the miniature phasor measurement unit and the quantum sensor by using a quantum key distribution technology; the self-adaptive decision engine is used for performing Nash equilibrium calculation by utilizing a federal reinforcement learning architecture, through a local Agent based on a power generation / energy storage unit state autonomous optimization control strategy and in combination with a digital twin platform, solving multi-target conflicts of economy, reliability and carbon emission, and generating a global optimal scheduling instruction; the execution control layer is used for tracking resonance points and dispersing harmonic energy spectrums; dynamic topology reconstruction: a harmonic source is positioned by using a digital twin platform, and the topology of the energy storage system is automatically switched according to the harmonic frequency and position; continuously optimizing the digital twin platform; and full-process closed-loop feedback and self-learning are carried out.

The invention provides a pulse frequency adaptive matching method and system for engine combustion chamber carbon deposition cleaning, and the method comprises the steps: obtaining the carbon deposition degree distribution data, cylinder pressure data and engine vibration signals of a target engine combustion chamber uploaded by an edge calculation node; performing dynamic weight fusion on the carbon deposition degree distribution data and the cylinder pressure data to generate an engine state comprehensive score; the initial pulse frequency, matched with the engine state comprehensive score, of the cleaning equipment is searched for in a preset pulse frequency mapping table; generating a pulse frequency correction strategy according to the engine vibration signal in combination with a pre-trained reinforcement learning model; and dynamically adjusting the initial pulse frequency according to the correction strategy to generate a target pulse frequency, and sending the target pulse frequency to the edge computing node to control the cleaning equipment to execute pulse cleaning according to the target pulse frequency. According to the invention, the carbon deposition removal effect is improved, and the equipment vibration risk is reduced.

A piston pin hole friction and wear test and torque measurement device in power machinery field, comprising a driving system, a torque measurement system, a loading system, a temperature control system, an oil supply system and a central controller. The driving system simulates the oscillation of the connecting rod. The loading system simulates the time-varying cylinder pressure load. The oil supply system and the oil channels of the connecting rod, bushing, and piston pin simulate the oil supply state. The torque measurement system comprises a total friction torque measurement device and a small head bushing hole friction torque measurement device, and measures the friction torque at the piston pin seat hole and the piston pin small head hole in real time. The temperature control system simulates the thermal load. The present application carries out tests based on actual components and realizes real-time measurement of friction torques.

The invention discloses a double-screw injection table and belongs to the field of injection equipment, the double-screw injection table comprises a machine body, an upper injection table and a lower injection table, the lower injection table comprises a discharging pipe, a lower screw rod, a sliding plug, a pressure air cylinder and a closing valve, and the discharging pipe and a mold are separated through sealing of the closing valve; then, the rotating lower screw rod is pushed to compress the pressure cylinder under the counter-acting force when extruding the materials, so that the materials can continuously move along with the lower screw rod and continuously enter the lower screw rod, and when next feeding is needed, the closing valve is opened, and the pressure of the pressure cylinder is released, so that the materials are pushed to quickly enter the mold; the effects of quickly feeding and saving the feeding time are achieved, and meanwhile, the pressure of the pressure air cylinder is utilized to enable the materials to be pressed into the mold, and then the pressure maintaining action can still be conducted.

The invention discloses a shield tunneling machine tunneling attitude parameter prediction method based on an XGBoost regression model, and the method comprises the steps: obtaining shield tunneling machine tunneling attitude parameters, including A-F group thrust oil cylinder pressure, shield tail and shield head horizontal and vertical deviations, and calculating a forward tunneling distance under the condition of maintaining the current subarea oil cylinder pressure setting; tunneling attitude parameters of the shield tunneling machine are read to construct a training data set; performing standardization processing on the training data set, performing feature analysis on the standardized data, and then dividing the data set; an XGBoost prediction model is constructed, and hyper-parameter tuning is carried out; the divided data sets are input into the optimized XGBoost prediction model to be trained, and evaluation is carried out; and predicting and evaluating the tunneling attitude parameters of the shield tunneling machine, which are obtained in real time, by using the trained model. According to the method, the advanced machine learning technology is utilized, the relevant tunneling attitude parameter values of the shield tunneling machine can be accurately predicted, and the reliability and effectiveness of engineering data prediction are powerfully guaranteed.

The invention relates to an accurate measurement device for the reaction force of a crane, and aims to improve the measurement precision and the operation safety of the reaction force of a support leg of the crane. According to the device, the tilt angle sensor, the action control unit, the supporting leg control panel and the pressure monitoring assembly are integrated, so that accurate measurement of the supporting reaction force of the supporting leg of the crane is realized. The tilt angle sensor is used for measuring the tilt angle state of the crane chassis, and the pressure monitoring assembly is installed at the large cavity end of the horizontal oil cylinder and the vertical oil cylinder of the supporting leg and used for monitoring the pressure of the oil cylinders in real time. The invention further relates to a method for controlling the movable supporting leg of the crane. According to the method, the telescopic actions of the horizontal oil cylinder and the vertical oil cylinder are accurately controlled through the action control unit. Data of the tilt angle sensor and the pressure sensor are used for adjusting stretching of the supporting legs in real time, and it is ensured that the crane reaches the optimal stable state before operation. According to the method, all wheels are off the ground, a vehicle body is horizontal, and the pressure measured by the four vertical oil cylinder pressure sensors is within a set threshold interval.

An integrated electronic brake system includes a main control section configured in a first area to receive one or more of a value from a pedal sensor, a value from a cylinder pressure sensor, a value from a wheel speed sensor, or an EPB signal to perform EPB control and drive a main braking valve and a braking motor for the main braking of a vehicle, and to drive an additional braking valve for the additional braking, a sub-control section configured in a second area to receive one or more of the value from the pedal sensor, the value from the wheel speed sensor, or the EPB signal to perform the EPB control and drive the main braking valve and the braking motor through a bypass circuit, and a connection bus connecting the first and second areas mounted in one box to transfer signals between the main and sub-control sections.

The present application relates to a kind of engine speed determination method and system when idling charging working condition, the method specifically is: S1: establishing the finite element simulation model of vehicle NVH, and carrying out vehicle modal analysis;S2: through the engine speed range under idling charging working condition, obtain the excitation frequency range corresponding to each subsystem and power assembly of vehicle;S3: based on S1 and S2, whether the vehicle modal can avoid the excitation frequency of each subsystem and power assembly of vehicle is judged, if can avoid then end, if cannot then enter S4;S4: obtain the cylinder pressure excitation of engine at different speeds under idling charging working condition, carry out vehicle NVH performance analysis, obtain the vibration speed at steering wheel and the noise sound pressure at the right ear of driver under different speeds;S5: based on steering wheel vibration speed and the noise sound pressure at the right ear of driver, determine the engine speed of idling charging working condition.The present application reaches vehicle NVH performance target requirement, reduces later rectification cost.

The invention aims to provide a virtual simulation method of a diesel engine movement mechanism considering rotation speed fluctuation. The method comprises the following steps: acquiring structure and material parameters of a valve mechanism, acquiring contact parameters of the valve mechanism, acquiring cam lift data, acquiring rigidity damping parameters and structure parameters of a gear transmission system, and acquiring cylinder pressure data. The output torque of a gas distribution unit, the angular acceleration of a cam shaft and the angular acceleration and torque of each gear are predicted respectively, the load torque state is judged, the crankshaft rotation angular acceleration is predicted, and the crankshaft dynamic angular velocity and the angular velocity fluctuation quantity are calculated. All motion mechanisms of the diesel engine are included, all kinetic parameters of the motion mechanisms of the diesel engine can be predicted, and the prediction result is complete. The influence of crankshaft rotating speed fluctuation caused by the load on the kinetic parameters of the diesel engine movement mechanism is considered, and the prediction result better conforms to engineering practice. Complex mathematical theories are not needed, a common numerical method can be adopted for solving, the calculation scale is small, and the calculation speed is high.

The present invention discloses a method and device for controlling the excess air coefficient of a natural gas engine. The method comprises obtaining a current engine state signal, a cylinder pressure signal, and the actual excess air coefficient of the previous control cycle; determining the actual air volume based on the relationship between the current engine state signal and a signal threshold, the cylinder pressure signal, and the engine's operating state; and determining a target natural gas injection volume based on the actual air volume and the actual excess air coefficient of the previous control cycle; determining a target throttle opening based on an engine accelerator pedal signal; adjusting the target natural gas injection volume in real time based on the target natural gas injection volume, controlling natural gas combustion based on the real-time adjusted target natural gas injection volume and target throttle opening, and obtaining the actual excess air coefficient of the current control cycle in real time, ensuring that the difference between the actual excess air coefficient and the target excess air coefficient always remains within the threshold range. Using this method, precise control of the actual excess air coefficient is achieved.

The invention discloses an engine multi-vehicle-type adaptive NVH quality optimization method and system, and belongs to the technical field of automobile engine debugge.The method comprises the steps that after an engine is installed on a to-be-adapted vehicle, vehicle working condition data are collected in real time, the vehicle working condition data comprises a vehicle speed, an accelerator opening degree, an engine rotating speed, a gear, a hydraulic torque converter locking state and an engine oil temperature signal; the vehicle working condition data is compared with the working condition of the engine noise sensitive working condition, and whether the engine noise sensitive working condition is entered or not is recognized; when the engine has the noise sensitive working condition, an NVH control strategy embedded in an engine electronic control unit is activated; the NVH control strategy comprises adjustment of an engine ignition angle and oil injection parameters; the engine is controlled according to the ignition angle optimization control instruction and the oil injection parameter optimization instruction; and when the vehicle runs out of the working condition of the noise sensitive working condition of the engine or gear shifting is completed, the conventional combustion control logic is recovered. And the rising rate of the pressure in the cylinder is effectively reduced, so that the structural knocking noise within the range of 150-600Hz is inhibited.

The invention discloses a method for realizing a brake cylinder pressure conversion function, which relates to the technical field of railway transportation and comprises the step of integrating a stepless relay valve and a brake cylinder pressure conversion device into a whole, the brake cylinder pressure conversion device comprises a pressure regulating piston arranged on a CV part, a pressure regulating mechanism used for controlling the pressure regulating piston and a judging mechanism used for controlling the pressure regulating mechanism to be opened and closed. The pressure regulating mechanism is used for inflating and deflating the upper part and the lower part of the pressure regulating piston according to the pressure reduction amount of the train pipe so as to control the CV pressure; the stepless relay valve is mainly used for transmitting CV pressure to the acting part through a lever, the acting part generates brake cylinder pressure C with the corresponding size to be balanced with the CV pressure, the position of a fulcrum of the stepless relay valve is controlled by a pressure signal of the weighing valve, and conversion of the brake cylinder pressure C is achieved.

The invention relates to the technical field of engines, and provides a liquid ammonia engine mechanism and a control method and system. The liquid ammonia engine structure comprises a liquid ammonia supply structure which is communicated with the inlet end of a high-pressure ammonia rail through a pipeline; the high-pressure ammonia rail is connected with the cooling structure, and liquid ammonia in the high-pressure ammonia rail exchanges heat with cooling liquid of the cooling structure for cooling; a liquid ammonia temperature sensor is also arranged on the high-pressure ammonia rail; the outlet end of the high-pressure ammonia rail is communicated with the high-pressure liquid ammonia nozzle through a pipeline; the high-pressure liquid ammonia nozzle atomizes high-pressure liquid ammonia into tiny liquid drops and then sprays the tiny liquid drops into the combustion chamber; a cylinder pressure sensor is arranged at the top of the combustion chamber; an oxygen sensor is arranged on the exhaust pipeline; the system further comprises an ECU module. The ECU module carries out dynamic decision making through a preset sub-working-condition control strategy on the basis of the operation working condition of an engine and obtained monitoring data. The problem that the actual injection amount is reduced due to the liquid-gas entrainment phenomenon in the liquid ammonia conveying process is solved.

The invention discloses a heavy-load AGV hydraulic suspension attitude keeping method, and belongs to the technical field of heavy-load AGV control, and the method comprises the steps: obtaining a vehicle-road surface joint state vector through sliding mode-extended Kalman filtering, obtaining a vehicle linearization dynamic matrix and a covariance thereof through a gating circulation unit network, and obtaining a vehicle-road surface joint state vector; and on the basis, a model prediction controller of a variable prediction time domain is used for outputting a target cylinder displacement instruction and a pressure instruction, and the instructions are corrected in real time so as to realize dynamic level control of the vehicle platform. According to the method, a sensing, decision-making and execution closed-loop self-adaptive link is formed through a four-source coupled pavement and centroid estimation link, a double-layer decision-making architecture composed of a gating circulation network and model prediction control, and a hydraulic network tension compensation mechanism based on a graph convolution network; and road surface prior, load distribution and multi-cylinder pressure instructions can be synchronously updated in a millisecond-level time scale, so that the dynamic levelness and the energy utilization rate are remarkably improved.

The invention discloses an air cooling machine power enhancement potential quantitative estimation method, and belongs to the technical field of engine power estimation. The air cooling machine power strengthening potential quantitative estimation method comprises the steps that air cooling machine performance parameters, a heat engine state reverse dragging cylinder pressure curve and a heat release rate curve are obtained; a one-dimensional simulation model of the air cooler is established, and thermodynamic cycle gas state parameters of the air cooler are obtained; establishing a three-dimensional combustion simulation model, and calculating the thermodynamic state of gas in a combustion chamber in a compression stage after an intake valve is closed; establishing a three-dimensional structure simulation model of the air cooling machine cylinder part; the three-dimensional combustion simulation model is adopted for oil gas chamber optimization, heat-mechanical load verification is carried out on all parts, and the optimized heat release rate is obtained; and inputting the optimized heat release rate into a one-dimensional simulation model, and quantitatively calculating the power strengthening potential of the air cooling machine. According to the quantitative estimation method for the power strengthening potential of the air cooling machine, the power strengthening potential of the air cooling machine is quantitatively estimated through the digital simulation technology, and the strengthening design efficiency is improved.

The invention discloses a marine high-pressure common rail diesel engine MPC combustion control method based on a physical informatization neural network, and belongs to the field of marine high-pressure common rail diesel engine control. The problems that physical consistency of a model and a real machine is ignored and the generalization ability of the model is poor due to the fact that only data driving is relied on are solved. The method comprises the following steps: keeping a combustion midpoint unchanged, and acquiring in-cylinder pressures, in-cylinder maximum pressure rise rates, indication heat efficiency and emission data of different pilot injection fuel ratios and pilot main injection positive time intervals; calculating the average indicated pressure circulation change of the diesel engine, screening data and calculating the accumulated heat release amount and the combustion midpoint; obtaining an influence rule of related characterization parameters of combustion in a diesel engine cylinder, and determining a crank angle corresponding to pilot injection timing, a pilot injection fuel ratio, a pilot main injection interval boundary and an upper limit of a maximum pressure rise rate of cylinder pressure; a diesel engine in-cylinder combustion prediction output model and an MPC controller are constructed; and updating control parameters and combustion state data to realize closed-loop control. The method is used in energy-saving and emission-reducing fields.

The invention discloses an oil-gas well rod and pipe column buckling deformation testing device, and particularly relates to the technical field of oil-gas well rod and pipe columns, the oil-gas well rod and pipe column buckling deformation testing device comprises a testing device body for oil-gas well rod and pipe column buckling deformation testing, a fixing mechanism, a connecting mechanism, a guiding assembly and a sliding assembly; the test device body comprises a test board, a support frame, a display, a servo cylinder, a pressure sensor and a deformation pressure head; the fixing mechanism comprises a clamping assembly; the clamping assembly comprises a moving plate, a through hole groove, a vertical clamping plate, a horizontal clamping plate, an adapting groove, a return spring and an adapting block. The device is reasonable in structural design, the oil-gas well rod pipe column can be fixed in the horizontal direction and the vertical direction at the same time, the position stability of the oil-gas well rod pipe column is improved, meanwhile, the testing precision is guaranteed, the device can adapt to oil-gas well rod pipe columns with end faces of different shapes through the multiple adapting blocks, and the testing efficiency is improved. Therefore, the adaptability and the reliability are improved.

The invention relates to the technical field of shield tunnel construction, and provides a shield synchronous pushing and splicing oil cylinder thrust determining method and system, a medium and equipment, and the method comprises the steps that after a shield tunneling machine enters a synchronous pushing and splicing state, a ring of duct pieces are divided into oil cylinder partitions according to the number and positions of the duct pieces, each duct piece corresponds to one partition, and the oil cylinder pressure in each partition is the same; obtaining observation data at a historical moment and pressure of each oil cylinder at a future moment, and predicting attitude deviation at the future moment through the tunneling attitude deviation prediction model; the total propulsive force, the resultant moment in the horizontal direction and the resultant moment in the vertical direction are obtained, the attitude deviation at the future moment is combined, and the oil cylinder thrust of each partition when the minimum energy consumption cost and the minimum attitude deviation cost are met is solved through a model prediction control framework; through a pre-synchronization method, the oil cylinder thrust of each subarea is smoothly adjusted before state switching. The method has strong adaptability and fault tolerance, and is suitable for engineering application in a complex geological environment.

A seat assembly for a vehicle includes a seat frame and a plurality of support units disposed on the seat frame. Each of the plurality of support units has a support tray, a cylinder connected to the support tray, a pressure sensor, an intake valve, and an exhaust valve. A gas supply to the cylinder is controllable via the inlet valve, a gas discharge from the cylinder is controllable via the exhaust valve, and an occupant of the vehicle is supportable by the support tray and a support force and a support height of the support tray is adjustable. A controller is configured to receive a pressure signal detected by the pressure sensor of each of the plurality of support units to control an open state or a closed state of the intake valve and the exhaust valve of each of the plurality of support units separately.

The invention discloses a redundant brake control method for displacement sensor failure, a vehicle and a program product, and the method comprises the steps: obtaining a target signal in response to a signal failure instruction of a displacement sensor; wherein the target signals comprise a main cylinder pressure signal, a pedal force signal and a pedal angle signal; determining a fault condition of the target sensor according to the target signal; wherein the target sensor comprises a main cylinder pressure sensor, a pedal force sensor and a pedal angle sensor; based on the fault condition, effective signals in the target signals are converted into braking system target pressure; wherein the target pressure of the braking system is used for pressure building of the servo cylinder, and flow control is effectively achieved. According to the invention, the target pressure is obtained by verifying the signals of the main cylinder pressure sensor, the pedal force sensor and the pedal angle sensor instead of converting the signals of the displacement sensor, so that the braking system can identify the braking intention of a driver under the condition that the displacement sensor fails, and the driving safety of a vehicle is improved.

The invention relates to a cooperative control method and system for lean-burn emission of a marine low-zero carbon fuel engine. The method comprises the steps that real-time in-cylinder pressure and temperature data are collected, and an in-cylinder pressure curve and an in-cylinder temperature curve are obtained through time sequence alignment, filtering denoising and interpolation fitting processing; extracting time sequence data based on the curve, calculating average effective pressure and peak temperature in a cylinder to determine a current load interval, and marking a risk tag sequence; calculating the generation rate of the nitrogen oxides and the particulate matters by matching with reaction condition parameters, and extracting reverse variation characteristics to obtain strong mutual exclusion correlation of the nitrogen oxides and the particulate matters; and based on the associated starting model, predicting and controlling the output oil injection quantity and the air inflow adjusting quantity, calculating the transient time sequence lag quantity through a dynamic lag model, and after superposition, calibrating through a combustion phase matching algorithm to generate an oil injection timing and air inlet valve opening control instruction after transient adjustment. The method is adaptive to the combustion characteristics of low-zero-carbon fuel, emission contradictions are accurately captured, transient emission peak values are avoided, and multi-pollutant collaborative control is achieved.

According to the pressure closed-loop control algorithm of the intelligent railway vehicle hinge device, the vehicle speed, the angle and the angular speed serve as input signals, the pressure of a damper hydraulic cylinder serves as a feedback signal, meanwhile, the corresponding relation between the input signals and the feedback signal is established through a fuzzy rule, PID closed-loop control is carried out, and the control precision is improved. The damping force is changed in a self-adaptive mode so as to restrain the displacement amount of yawing motion between compartments of the intelligent railway vehicle. Complex modeling is avoided, robustness of a control system is enhanced, closed-loop control is carried out by monitoring actuator oil cylinder pressure based on the fuzzy rule, and when the pressure does not meet a target value, input current of a proportional valve is adjusted through a PID closed-loop algorithm to carry out self-adaptive control on the oil cylinder pressure. The purpose of adaptively changing the damping force to restrain the large yaw motion between the carriages of the intelligent railway vehicle is achieved.

The invention relates to the technical field of engine control and state monitoring, and discloses a diesel engine in-cylinder pressure multi-source fusion estimation method based on adaptive Kalman filtering, which comprises the following steps: acquiring working condition parameters and torque signals of a diesel engine; based on the collected working condition parameters, model prediction cylinder pressure is obtained; based on the collected torque signals, single-cylinder contribution is extracted, and torque reverse thrust cylinder pressure is obtained through reverse thrust; according to the real-time information entropy change of the model prediction cylinder pressure and the torque reverse thrust cylinder pressure, dynamically distributing a fusion weight, and generating a fusion observed quantity; forming an extended characteristic quantity based on the characteristic that the fusion observed quantity changes along with the crank angle; establishing a state transition equation and an observation equation; and outputting an in-cylinder state prediction and estimation result after fusion optimization. According to the method, the in-cylinder pressure multi-source fusion estimation method based on adaptive Kalman filtering is adopted, fusion weights of different data sources can be dynamically adjusted in real time, and the technical effect of considering steady-state accuracy and transient response speed is achieved.

The invention relates to the technical field of automatic control, in particular to a vehicle docking and automatic leveling system for a loading site. Comprising a loading platform, a butt joint platform, a linear guide rail, a sliding carrying platform, a servo motor, a platform side two-dimensional linear scanning laser sensor, a four-corner hydraulic cylinder assembly, a cross balance valve assembly, a servo valve, a cylinder pressure sensor, a magnetostrictive displacement sensor and a controller. The linear guide rail is arranged on a top cross beam of the loading platform, the sliding carrying platform is arranged on the linear guide rail and is driven by the servo motor to reciprocate, the platform-side two-dimensional linear scanning laser sensor is fixed on the sliding carrying platform, and a laser emitting plane is perpendicular to the longitudinal axis of the loading platform; the four-corner hydraulic cylinder assembly is arranged at the bottom of the butt-joint platform and supports the butt-joint platform, and the cross balance valve assembly is communicated with rodless cavities of the two opposite-corner hydraulic cylinders. According to the invention, the space pose information of the opening at the rear end of the compartment can be stably obtained under the condition that the vehicle parking attitude has transverse deviation, pitching or transverse rolling.

The invention relates to a method for determining a brake cylinder pressure in a pneumatic brake system of a utility vehicle, in which method the brake cylinder pressure (pBrkCyl) is estimated by means of a mathematical model. The invention relates to a method for reliably determining the pressure of a brake chamber without using a pressure sensor, according to the invention, the air mass flow () and the physical properties of the air in the chamber (13) of the brake cylinder (6, 7) are adjusted by means of the open or closed state of an electronically controllable solenoid valve (10, 11) arranged directly in front of the brake cylinder (6, 7) in the air supply line (4, 5) outside the control device (2) for the brake cylinder pressure (pBrkCyl). The brake cylinder pressure (pBrkCyl) is continuously determined taking into account a currently predetermined open or closed state of the solenoid valve (10, 11).