1014 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 semitrailer automatic emergency braking control system and method based on vehicle-road cooperation. The system comprises an information acquisition module and a multi-stage AEB early warning module. The invention provides a semi-trailer braking control system, a multi-stage AEB braking module, an inverse braking module and a PID control module, and provides a braking control method using the control system, and accurate multi-stage early warning and multi-stage braking control are output for a semi-trailer under different road situations based on the vehicle-road cooperation technology. The brake deceleration output by the control strategy is converted into brake master cylinder pressure by constructing an inverse brake module; and based on a PID control module, the error between the ideal expected braking deceleration planned by the control strategy and the actual braking deceleration of the semi-trailer actually running under each working condition is reduced. The semitrailer can accurately judge and output accurate control braking deceleration according to different road scenes such as various road attachment conditions, and the requirement for automatic emergency braking control of the semitrailer under the complex road working conditions such as a low attachment road surface, a curve and a ramp is met.

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 cylinder pressure virtual measurement method based on a physical information neural network. The method comprises the following steps: acquiring a cylinder cover vibration signal and a cylinder pressure signal of a certain cylinder in a specific time period under different loads; constructing a physical information neural network, taking a cylinder cover vibration signal as an input, and taking a corresponding cylinder pressure signal as an output; determining a transfer function of the cylinder cover system under different loads as a physical constraint, and embedding the physical constraint into the neural network in a form of constructing a loss function; training a physical information neural network by using cylinder cover vibration signals and cylinder pressure signals of the cylinder in specific time periods under different loads, wherein the cylinder cover vibration signals and the cylinder pressure signals under different loads use physical constraints under corresponding loads; and inputting the cylinder cover vibration signal in the specific time period into the trained physical information neural network to obtain a corresponding cylinder pressure signal. The cylinder pressure is predicted through the cylinder cover vibration signal by using the neural network, and the transfer function of the cylinder cover system is introduced, so that the cylinder pressure can be accurately obtained.

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 a shield tunneling machine oil cylinder pressure distribution method and system based on support vector regression. The method comprises the steps that the total propelling thrust of a shield tunneling machine is obtained; setting a basic pressure value of each subarea of the oil cylinder on the basis of the total propelling thrust; the posture deviation of the shield tunneling machine is obtained; judging whether the attitude deviation exceeds an attitude threshold value or not; and under the condition that the posture deviation exceeds a posture threshold value, the pressure value of each area of the oil cylinder is adjusted according to a partition oil cylinder distribution strategy. According to the invention, each subarea oil cylinder in the propelling system is intelligently and dynamically adjusted in a data driving mode, the pressure distribution of each subarea oil cylinder in the propelling process is optimized, and the accurate control of the shield tunneling machine in the propelling process is realized.

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 discloses a control strategy for reducing NH3 emission of a hydrogen-ammonia engine. The control strategy comprises the steps that the rotating speed, the load, the pressure in an air cylinder, the air flow entering the air cylinder, the hydrogen injection amount, the ammonia injection amount and the exhaust temperature of the engine are monitored in real time; the maximum value of the in-cylinder pressure at the moment is calculated from a cylinder pressure model according to the rotating speed and the load of the engine, the maximum value of the in-cylinder temperature at the moment is calculated from an exhaust model according to the exhaust temperature detected by a sensor in front of a catalytic converter, and the in-cylinder air-fuel ratio at the moment is calculated according to the hydrogen injection amount, the ammonia injection amount and the air flow; an unburned ammonia model is established according to the characteristics affecting ammonia emission, and the unburned ammonia proportion at the moment is calculated through the unburned ammonia model; according to the size of the ammonia unburned proportion, the ammonia emission risk at the moment is recognized; and the maximum value of the hydrogen-ammonia injection amount is calculated through the ammonia leakage limiting coefficient, the theoretical air-fuel ratio and the air inflow and used for restraining the total hydrogen-ammonia injection amount. And the unburned ammonia proportion of the ammonia gas in the air cylinder can be effectively controlled.

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 an automobile brake cylinder fault detection method and system, and relates to the technical field of automobile safety, and the main scheme is as follows: collecting multiple parameter data of a brake cylinder in real time; calculating a pressure change rate # imgabs0 # and comparing the pressure change rate # imgabs0 # with a threshold value to judge whether the brake cylinder pressure is abnormal or not; calculating a piston displacement stroke # imgabs1 # and a piston speed # imgabs2 #, comprehensively calculating a piston displacement comprehensive index # imgabs3 #, and comparing the piston displacement comprehensive index # imgabs3 # with a threshold value to judge whether the piston displacement is abnormal or not; a temperature change rate # imgabs4 # and a current temperature change curve # imgabs5 # are calculated, a temperature difference value # imgabs6 # is calculated in combination with a normal temperature change curve, and the temperature difference value # imgabs6 # is compared with a threshold value to judge whether the temperature of the brake cylinder is abnormal or not; calculating a comprehensive operation index # imgabs7 #, comparing the comprehensive operation index # imgabs7 # with a threshold value to judge whether the comprehensive operation state of the brake cylinder is abnormal or not, and triggering an alarm device to send out a fault alarm signal if any abnormality exists; according to the method, multiple parameters of the brake cylinder can be comprehensively monitored in real time, the brake cylinder fault is comprehensively judged, and the safety and reliability of an automobile brake system are effectively improved.

The invention discloses an engine cold start combustion state diagnosis and optimization method based on rotation speed fluctuation, which comprises the following steps: acquiring rotation speed and cylinder pressure data of each cycle in a cold start process of an engine under a conventional environment and an extreme working condition as a data training set, manually marking a combustion state, learning and training a combustion state diagnosis model based on previous experimental data, and optimizing the combustion state. The abnormal fluctuation of the rotating speed when abnormal combustion occurs is recognized, another group of engine cold start experimental data in the extreme environment is used as a model verification set and is compared with signals collected by a cylinder pressure sensor in real time, and the accuracy and the real-time performance of a model are judged. According to the method, the combustion state of each cylinder of the engine is judged according to the abnormal fluctuation condition of the rotating speed of the engine, and parameters such as the cylinders, the phase, the rotating speed and the torque of abnormal combustion in the cold start transient working condition process of the engine are recognized and serve as a control parameter MAP and correction parameter calibration judgment basis of the cold start transient process. And meanwhile, the effect after parameter correction can be further evaluated.

The embodiment of the invention provides a rigidity evaluation method and device of a vehicle braking system, a vehicle and a storage medium, and belongs to the technical field of intelligent vehicles. The method comprises the following steps: acquiring a servo cylinder pressure estimated value, a servo cylinder pressure measured value and a brake fluid flow rate of a target brake system; performing rigidity prediction according to the rigidity correlation parameter and the servo cylinder pressure estimation value to obtain expected rigidity data; performing rigidity prediction according to the pressure measurement value of the servo cylinder and the flow velocity of the brake fluid to obtain actual rigidity data; according to the pressure measurement value of the servo cylinder, the expected rigidity data and the actual rigidity data, performing rigidity abnormity evaluation to obtain initial rigidity abnormity evaluation data; performing anomaly frequency detection according to the initial stiffness anomaly evaluation data to obtain stiffness anomaly frequency; and according to the stiffness anomaly times, the initial stiffness anomaly evaluation data and the data acquisition times, performing stiffness anomaly evaluation to obtain target stiffness anomaly evaluation data. According to the embodiment of the invention, the accuracy of target braking system rigidity evaluation can be improved.

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.

An apparatus for controlling an electro-mechanical braking system includes a first braking control module configured to receive at least one of an electronic parking brake (EPB) switch signal, a braking control signal, or a cylinder pressure value and to operate a parking brake and an additional braking valve; a second braking control module configured to receive at least one of a brake pedal signal, the braking control signal, or the cylinder pressure value and to operate a braking motor and a main braking valve, a first power module configured to supply power to the first braking control module, a second power module configured to supply power to the second braking control module, an integrated switch configured to integrate output powers of the first power module and the second power module, and a connection bus configured to transfer transmission and reception signals, and a method thereof.

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.

The invention provides a small sample machine learning reinforcement method for engine performance prediction and optimization, which can be applied to the field of machine learning and the field of energy, and comprises the following steps: firstly, generating a data set with sufficient scale and containing multiple working conditions by using random sampling and a genetic algorithm; preprocessing the data, wherein the preprocessing comprises normalization, working condition classification and uniform grid interpolation of two-dimensional data; and working condition identification is realized by using the classification model. Afterwards, features based on combustion parameters are constructed, the combustion parameters with high prediction precision are screened out, and the combustion parameters are divided into a one-dimensional model and a two-dimensional model to be trained respectively and used for predicting engine performance parameters, emission parameters and key parameters such as in-cylinder pressure, heat release rate and temperature. And finally, according to a classification identification result, predicting the engine performance under a normal combustion condition, and not directly predicting the engine performance under an abnormal combustion condition. According to the method, the accuracy and robustness of engine performance prediction under the small sample condition are effectively improved, and the cost of engine optimization design can be effectively reduced.

A method for operating an internal combustion engine, including collecting a knocking signal of a knocking sensor and collecting a cylinder pressure signal of a cylinder pressure sensor. The cylinder pressure signal is representative of a cylinder pressure prevailing in at least one combustion chamber of the internal combustion engine. The method further includes determining an estimated cylinder pressure on the basis of a model and the knocking signal, and subjecting the cylinder pressure signal to a plausibility check. The method further includes, if the cylinder pressure signal is not plausible according to the plausibility check, using the estimated cylinder pressure for the operation of the internal combustion engine.

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 utility model provides a mold locking mechanism for large-area oil cylinder core pulling, and belongs to the technical field of injection mold back-off treatment. The mold locking mechanism comprises a drawing stroke oil cylinder, an inner drawing guide rail, a forming inner drawing mold core, an oil cylinder for mold locking and a mold locking block. According to the utility model, the side mold locking structure is additionally arranged, so that the mold locking pressure required by large-area core pulling is dispersed to the core pulling oil cylinder and the side mold locking structure to be respectively borne, the oil cylinder pressure required by driving an inner pulling structure is obviously reduced, and the oil cylinder specification and the occupied area required by the inner pulling mechanism at the back-off part of a product are reduced; the boundary dimension and height of the mold are reduced, and the mold and injection molding cost is reduced.

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 discloses a locomotive brake detection performance determination method, and the method comprises the steps: employing a vehicle-mounted device on a locomotive to collect dynamic data generated in a brake test process in real time, and the dynamic data comprise air cylinder pressure, pipeline pressure, a brake handle position signal and other operation related parameters; the collected dynamic data are preprocessed, a test standard curve set is constructed in combination with historical test data, and the standard curve set is classified and stored according to the locomotive model and the brake model. According to the invention, a standard test data set is constructed based on a large amount of test data of locomotives and brakes of different models, feature extraction and fitting analysis of dynamic data are realized in combination with a feature sampling algorithm, a least square fitting algorithm and a multiple linear regression model, and through comparison of a fitting curve and a standard test curve, a dynamic test result is obtained. The system automatically judges the normalization and integrity of the operation, and subjective errors and omissions of manual analysis are avoided.

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 relates to a railway transportation system, and provides a brake system sensor for a railway tank car and a railway tank car operation monitoring system in order to solve the problem that the fusion level of an existing railway tank car system and a modern digital technology is low, the brake system sensor comprises a brake cylinder push rod displacement sensor, a brake cylinder pressure sensor, a main pipe pressure sensor and an air storage cylinder pressure sensor; the brake cylinder push rod displacement sensor is arranged between the brake cylinder and the brake cylinder push rod; the brake cylinder pressure sensor is arranged on a ventilation pipeline for connecting the brake pressure limiting valve and the brake cylinder; the main pipe pressure sensor is arranged on a flange joint of a braking main pipe of the railway tank car; the air storage cylinder pressure sensor is arranged on a ventilation pipeline between the air storage cylinder of the railway tank car and the connecting valve; the invention further provides a railway tank car operation monitoring system adopting the brake system sensor, operation data information of a railway tank car is monitored in real time, and a user can know the operation state of the railway tank car timely and conveniently.

The invention discloses a shield attitude autonomous adjustment control method and system, and belongs to the technical field of shield attitude adjustment. Comprising the following steps: acquiring key tunneling parameters and shield attitude parameters during tunneling of a shield tunneling machine, and performing data preprocessing; related tunneling parameters are screened out to construct a shield attitude prediction model, the related tunneling parameters are used as input, the shield attitude parameters are used as output, and the shield attitude prediction model is used for predicting the tunneling prediction attitude of the shield tunneling machine in a future preset range; determining a shield deviation rectification path planning curve based on a judgment result if the broken tunneling prediction attitude meets the requirement; and establishing a grouped oil cylinder pressure prediction model, and predicting a pressure decision value of each grouped oil cylinder according to the determined shield deviation rectification path planning curve. A complete shield attitude autonomous control system is provided, the problems of inaccurate shield attitude judgment, unstable deviation correction operation control and the like are solved, the phenomena of excessive shield attitude fluctuation, snakelike deviation correction and the like are avoided, and accurate control over the shield attitude is achieved.

The utility model discloses a liquid squeezing roller adjusting device which comprises a first installation frame, a second installation frame, a first squeezing roller, a second squeezing roller, a sliding block and a pressure adjusting device, the second installation frame is arranged on the first installation frame, and the two ends of the second squeezing roller are rotationally connected with the second installation frame respectively. An extrusion gap is formed between the first extrusion roller and the second extrusion roller; the pressure adjusting device comprises air cylinders and a pressure adjusting valve, the fixing ends of the two air cylinders are fixedly connected with the two supporting parts respectively, the driving ends of the two air cylinders are fixedly connected with the sliding block respectively, and the pressure adjusting valve is connected with the two air cylinders through pipelines. The pressure of the two cylinders is simultaneously changed by adjusting the pressure regulating valve, so that the pressure of the first extrusion roller on the copper foil is changed, the two ends do not need to be separately adjusted, the adjustment is finer by adopting the pressure regulating valve, and compared with a traditional nut screwing adjustment mode, the device is more efficient, quicker and finer.