4357results about "Fluid-pressure actuator testing" patented technology

The invention discloses a seeding monomer seeding depth and suppression control method and a control device thereof.The method comprises the steps that control parameter data are obtained, and the control parameter data comprise a seeding mode and / or suppression / pressing parameters; determining an operation mode based on the control parameter data; when the operation mode is a downward pressing mode and a pressing mode, a pressing hydraulic cylinder and a downward pressing hydraulic cylinder are adjusted to stretch and retract in real time based on data collected by a pressing force sensor and data collected by a downward pressing force sensor, so that target pressing force and target downward pressing force are kept; and when the operation mode is a pressing / pressing cooperation mode, data collected by the pressing force sensor and the pressing force sensor are obtained at the same time, and the pressing hydraulic cylinder and the pressing hydraulic cylinder stretch out and draw back at the same time, so that the target pressing force and the target pressing force are kept. According to the scheme, on-demand switching of the pressing mode, the pressing mode and the pressing / pressing cooperation mode can be achieved, and compared with a fixed mode in the prior art, higher adaptability and flexibility are achieved.

The invention discloses a hydraulic system throttling control method based on a hydraulic control one-way valve, which relates to the technical field of throttling control, and comprises the following steps of: in an initialization stage of starting a hydraulic system, setting an optimal initial throttling opening for a throttling valve based on flow data of current oil; the method comprises the following steps: performing high-frequency real-time acquisition on flow state data of oil through a sensor deployed at the upstream of a throttling area, and establishing a set of flow state data system based on a time sequence; continuously collected flow state data are divided according to time windows, and an analysis set of oil flow data is constructed. According to the method, the dynamic flowing state of oil is monitored and deeply analyzed in real time, the load state is intelligently predicted in combination with a support vector machine model, and the opening degree of the throttling valve is adjusted in real time; the problems that in the prior art, response of a throttling control strategy to a high-load working condition is delayed, and oil temperature rise and viscosity abnormal reduction are caused by serious local pressure loss of a throttling area are effectively solved.

The invention relates to a split type electro-hydraulic direct-driven non-retractable fin stabilizer hydraulic system which comprises a hydraulic unit and an actuating mechanism which are independently arranged, and the actuating mechanism comprises fin rotating oil cylinders which are symmetrically arranged; a bidirectional hydraulic pump driven by a servo motor forms a closed fin rotating loop; the bidirectional hydraulic pump driven by the servo motor, the hydraulic unit and the actuating mechanism form an electro-hydraulic direct-drive fin stabilizer device; the control loop is composed of a gyroscope, a controller and an executing mechanism, and the gyroscope detects the rolling angular velocity of the ship and generates a fin rotating instruction signal; the controller compares the instruction signal with the fin angle feedback signal and outputs a servo motor rotating speed instruction; the servo driver controls the servo motor to rotate forwards and backwards, the bidirectional hydraulic pump is driven to adjust the displacement of the fin rotating oil cylinder, and therefore the fin is driven to rotate. A valve control or pump control type hydraulic system adopted by a traditional fin stabilizer is replaced, integrated optimization, light weight, high efficiency, high reliability and low noise of the fin stabilizer hydraulic system are achieved, and the occupied space of equipment is reduced.

The invention discloses an automatic air cylinder clamping system and method, and belongs to the technical field of air cylinder clamping, and the system comprises a map drawing module which is used for drawing a three-dimensional clamping force distribution map; the risk prediction module is used for synchronously predicting a deformation deviation risk value in the clamping process; the model calculation module is used for generating a dynamic attenuation coefficient; and the air cylinder adjusting module is used for dynamically adjusting the opening degree of a multi-stage cushion valve and the servo pressurization rate of the automatic air cylinder set through a self-adaptive control strategy till the clamping force error is stabilized within a preset threshold value. The technical problems that in the automatic air cylinder clamping process, due to environment interference and system errors, the clamping force is unstable, and the workpiece clamping precision is low are solved, and the technical effects that the clamping force stability is improved through dynamic compensation and self-adaptive adjustment, the deformation risk is reduced, and the clamping precision is improved are achieved.

The invention discloses a hydraulic system numerical simulation and parameter optimization design method and device, and relates to the technical field of hydraulic system parameter optimization. Comprising the following steps: collecting geometric parameters and material characteristic parameters of the hydraulic system, and establishing a geometric structure model and a finite element analysis model; performing finite element analysis, applying different load conditions to obtain working parameters, and recording effective stress of the hydraulic pump blade; the average stress and the working time are combined to represent the blade abrasion degree, and an abrasion influence correction factor is calculated; working environment parameters are collected to calculate environment correction factors, and vibration amplitude is obtained to calculate load dynamic adjustment factors; and finally, the working parameters are dynamically corrected based on the correction factors, and the hydraulic system is controlled through optimization design. It is ensured that the hydraulic system keeps an efficient and stable working state in the long-term using process, the adaptive capacity of the system under different working conditions is further improved, and therefore the abrasion speed of elements is decreased, and the service life of the system is prolonged.

The invention discloses a reciprocating sealing test device of an aviation hydraulic actuator and a verification method, and belongs to the field of aviation airborne equipment test and verification. Comprising an end cover, a nut, an outer cylinder, an inner hexagon screw, a pipe joint, a limiting block, a partition baffle, a piston rod, a lining and the like, and all the parts are assembled to form the complete component-level sealing test device. Performing sealing element inspection before and after an experiment on the to-be-tested sealing element, and inspecting the quality of the movable surface of the test device; then the sealing element is assembled on a test device, and installation technology adaptability inspection is carried out; the test device is installed on a test bench, and sealing characteristic tests including a running-in test, a normal-temperature, high-temperature and low-temperature performance test, a low-pressure static test and a high-pressure static test are carried out; performing environment adaptability tests including low-temperature storage, low-temperature work, high-temperature storage, high-temperature work and temperature shock; sealing life durability tests including normal-temperature, high-temperature and low-temperature motion durability tests are completed; and performing decomposition inspection after the test is finished.

The invention discloses a hydraulic control system, which belongs to the field of hydraulic control, and comprises a power execution module, a control regulation module and a sensing feedback module, in the slurry manufacturing stage, data are collected through a sensor, the abnormal condition of the slurry temperature is detected to judge whether the slurry temperature is adjusted or not, and based on the real-time slurry viscosity, the rotating speed of a stirring shaft is adjusted in a self-adaptive mode by adjusting the hydraulic flow of a hydraulic motor of a stirring driver; acquiring driver data to monitor a control instruction implementation result, performing abnormality evaluation analysis on a driver through threshold judgment and abnormality score calculation, and generating an updated driver control signal after a driver instruction regeneration signal is received; monitoring abnormal conditions of data acquired by various deployed sensors, monitoring abnormal data of the sensors, and monitoring duration of the abnormal data so as to carry out abnormal early warning and generate abnormal early warning information; the problem that the slurry temperature of die-casting equipment under hydraulic control is difficult to adaptively adjust and disturb is solved.

The utility model relates to the technical field of hydraulic stations, and discloses an automatic temperature control system for a hydraulic station, which comprises an air-cooled radiator for radiating hydraulic oil, an oil inlet pipe and an oil outlet pipe for connecting the air-cooled radiator with the hydraulic station, a controller, a temperature sensor A, a temperature sensor B and an alarm, the temperature sensor monitors the temperature of hydraulic oil entering and exiting the air-cooled radiator in real time, and the controller adjusts the heat dissipation effect of the air-cooled radiator according to monitored data so as to maintain the oil temperature within a suitable range. And if the oil temperature exceeds a set threshold value, the controller can activate the alarm to prompt an operator to intervene. The system can monitor the oil temperature in real time and quickly respond to temperature changes, and it is guaranteed that the performance of hydraulic oil is in the optimal state all the time.

The invention belongs to the field of hydraulic transmission system design, and discloses a hydraulic transmission system protection method and system.The protection method comprises the steps that onboard state signals, flight control system state signals and first hydraulic pressure and second hydraulic pressure of each hydraulic pipeline in a hydraulic transmission system are collected in real time; according to the onboard state signal, an electric pump closing instruction and a hydraulic pressure logic judgment instruction are output through an onboard state threshold value and first electric pump control logic, and an electric pump connected to a hydraulic pipeline is closed according to the electric pump closing instruction; and acquiring a flight control system state signal, first hydraulic pressure and second hydraulic pressure according to the hydraulic pressure logic judgment instruction, and automatically controlling the electric pump by adopting a second electric pump control mechanism and a hydraulic pipeline protection mechanism through a low-pressure threshold value and a pressure safety threshold value. According to the invention, the starting of each electric pump can be automatically controlled, a hydraulic passage can be protected through a plurality of mechanisms, and the flight safety can be improved.

The invention belongs to the field of electromechanical control, and discloses a redundancy control method and system for an electric pump and a transmission system.The redundancy control method comprises the steps that onboard state signals, flight control system state signals and first hydraulic pressure and second hydraulic pressure of each hydraulic sub-system in a hydraulic system are collected in real time; an electric pump closing instruction and a hydraulic pressure logic judgment instruction are output through an on-board state threshold value and first electric pump control logic according to the on-board state signal, and the electric pump is closed according to the electric pump closing instruction; and a flight control system state signal, the first hydraulic pressure and the second hydraulic pressure are obtained, and each electric pump is automatically controlled through a low-pressure threshold value and a pressure safety threshold value by adopting second electric pump control logic, a hydraulic pipeline protection mechanism and an electric pump protection mechanism. According to the invention, the starting of each electric pump can be automatically controlled, a hydraulic passage can be protected, and the flight safety is ensured.

The invention discloses a control method of a flap unloading platform, which is applied to a hydraulic control system of the flap unloading platform, and comprises the following steps: acquiring a starting signal, and enabling a power driving branch based on the starting signal; the system pressure of a hydraulic control system of the turning plate unloading platform is controlled by the power driving branch to be gradually increased; in response to the fact that the system pressure is equal to the preset value, the power-on state of the main electromagnetic valve is changed, the first proportional throttle valve and the second proportional throttle valve are adjusted based on the second working state of the main electromagnetic valve, the first lifting oil cylinder and the second lifting oil cylinder are controlled to act, and the turning plate unloading platform is driven to rotate; and in response to rotation of the flap unloading platform to the preset angle, the power-on state of the main electromagnetic valve is changed, so that the flap unloading platform is controlled to stop rotating based on the first working state of the main electromagnetic valve. By controlling the first proportional throttle valve and the second proportional throttle valve which are independent, independent control over the first lifting oil cylinder and the second lifting oil cylinder is achieved so that synchronous action can be achieved.

The invention discloses a fault diagnosis method of a hydraulic system and an intelligent early warning device, and relates to the technical field of hydraulic systems.The fault diagnosis method comprises the steps that an operation model of the hydraulic system is established according to ideal environment parameters, and standard operation parameters are imported into the operation model to obtain ideal performance coefficients of the hydraulic system; calculating an equipment operation deviation coefficient according to the ideal environment parameters, presetting a system operation early warning threshold value according to the equipment operation deviation coefficient, establishing an environment prediction model, integrating multiple groups of predicted environment change data to obtain an environment deviation oscillogram, and further delimiting a normal monitoring time period, a peak monitoring time period and a key monitoring time period; a corresponding monitoring frequency band is set, early warning judgment is performed according to a deviation value of an actual performance coefficient and an ideal performance coefficient of equipment, and fault prediction is realized before the hydraulic system breaks down due to interference of environmental factors in combination with interference influence of the environmental factors on operation of the hydraulic system. Economic losses caused by the fact that problems can only be found after faults occur are avoided.

The invention discloses a fluid pressure monitoring method and system, and relates to the technical field of pressure monitoring, and the method comprises the steps: determining a hydraulic circulation path, configuring a pressure sensing module, carrying out the real-time pressure monitoring of a first hydraulic oil path, a second hydraulic oil path and a third hydraulic oil path, and generating pressure distribution prediction information through the analysis of a hydraulic control module; through comparison of monitoring data and prediction information, an abnormal pressure distribution path and characteristics are accurately identified, abnormity judgment and dynamic correction are performed based on a reversible abnormity correction model, a correction hydraulic control signal is generated, and closed-loop control is implemented after the correction hydraulic control signal is input into a hydraulic control module. The method solves the technical problem that an existing hydraulic system is difficult to accurately recognize abnormal pressure distribution and carry out real-time dynamic correction under complex working conditions, and the system operation stability is affected, and achieves the purposes of accurately recognizing abnormal pressure distribution and carrying out real-time dynamic correction through multi-path pressure monitoring and a reversible abnormal correction model, and improving the system operation stability. And the operation stability of the system is improved.

The invention discloses a hydraulic system intelligent fault diagnosis method based on a diffusion model data enhancement framework, and the method comprises the following steps: firstly providing a diffusion model-based data enhancement framework, carrying out the fault simulation of a hydraulic system through a simulation model, converting a time domain signal into a gray image, and achieving the data enhancement through a diffusion model; carrying out quantitative evaluation on the quality of the generated image, and constructing an enhanced hydraulic system fault data set; based on the proposed framework, a dual-domain adversarial neural network model fused with an attention mechanism is proposed, the weight of a loss function of two domain discriminators is adjusted so as to realize global and local feature adaptive fusion optimization, adversarial training is realized through a gradient inversion layer, and the adaptive fusion optimization of global and local features is realized. Experimental fault state data serve as a test set to be input into a model for fault diagnosis, and the superiority of the method on indexes such as accuracy is verified through comparison of traditional models such as DANN and CNN. In addition, the method is simple and easy to implement, and is suitable for intelligent fault diagnosis of the hydraulic system under the zero sample condition.

The invention discloses a hydraulic hoist performance monitoring and analysis method and system based on time-frequency analysis, and relates to the technical field of hydraulic system state monitoring and fault diagnosis, and the method comprises the steps: carrying out the data collection of performance parameters through an intelligent sensor network under different operation states of a hydraulic hoist, and adjusting the data collection frequency and type; processing the collected data through a time-frequency analysis technology to reduce information loss and separate inherent modes in the signals, and extracting time-frequency features; performing potential performance degradation trend analysis on the time-frequency characteristics according to a failure development rule and failure physics; and identifying a fault diffusion trend according to a result of the potential performance degradation trend analysis and a monitoring result of temperature and vibration. Through the intelligent sensor network and the time-frequency analysis technology, early recognition and early warning of potential faults of the hydraulic hoist are achieved, the accuracy and comprehensiveness of fault diagnosis are improved, the fault response speed is optimized, and stable operation of the system is effectively guaranteed.

The invention belongs to the field of airborne electromechanics, and discloses a hydraulic mechanism heterogeneous control method and system.The method comprises the steps that hydraulic systems are divided into two groups, and on-board state signals, flight control system state signals and first hydraulic pressure and second hydraulic pressure of sub hydraulic systems are collected; giving an on-board state threshold value, a low-pressure threshold value, a hydraulic safety threshold value and a sub-hydraulic system relation table; starting and stopping automatic control is conducted on the electric pumps in the first group through the established first control logic architecture according to the data; and the electric pumps in the second group are automatically controlled to start and stop by adopting the constructed second control logic architecture through the data. The system comprises a grouping module, a control logic construction module and two control units, wherein each control unit comprises an acquisition module, a data scheduling module, a staggered starting module, an anti-overvoltage protection module and an anti-error working module. All the electric pumps are controlled through two heterogeneous logic architectures, and the control precision and safety are improved.

The invention relates to the technical field of response time testing of electro-hydraulic proportional valves, and discloses a response time testing method and system of an electro-hydraulic proportional valve, and the method comprises the steps: collecting multi-point pressure, step response, pipeline length and medium parameters, and unifying the time reference to obtain an original pressure sequence; constructing an inverse filter spectrum to remove damping interference so as to recover a sharp peak value; lagging offset is calculated according to pipeline and medium parameters, time delay compensation is carried out, and an alignment sequence is obtained; intercepting a non-stationary segment to eliminate residual delay deviation; constructing a response dynamic data set, extracting harmonic frequency domain representation, and reconstructing a pressure sequence through inverse transformation and superposition of compensation factors; and calculating a deviation integral quantity, adjusting a dynamic compensation parameter, performing weighted correction, and outputting an optimized reconstruction response sequence. According to the method, accurate reconstruction of the real pressure response of the proportional valve can be realized, so that the accuracy and the reliability of response time testing are improved.

The invention relates to an energy accumulator durability test method and system, and the system comprises an extreme working condition simulation module which can achieve high-voltage, wide-temperature-range and high-frequency dynamic loading; the multi-sensor monitoring network integrates a fiber bragg grating strain sensor, a three-axis acceleration sensor and an acoustic emission sensor to realize collaborative monitoring of strain, vibration and microcracks; the intelligent control and energy recovery module is combined with a fuzzy PID and reinforcement learning algorithm, a magnetorheological fluid generator and a super capacitor bank, so that the control precision and the energy utilization rate are improved; and the data analysis and life evaluation platform accurately predicts the residual life by using an improved Bayesian network model and a real-time health index calculation module. According to the test method, a loading mode is dynamically adjusted through a real-time health index, an energy recovery strategy is optimized, and life early warning is triggered. The invention breaks through the limitation of the traditional test and provides an integrated solution.

The invention provides an underground coal mine air and water pumping switching electro-hydraulic control system and method, the electro-hydraulic control system comprises an air supply control module, a water supply control module, a negative pressure control module and an oil supply module, and the method adopts a remote control system to control the underground coal mine air and water pumping switching electro-hydraulic control system. According to the underground coal mine air and water pumping switching electro-hydraulic control system, air and water pumping electric control rapid opening and closing and rapid switching of different functions are achieved, the automation degree of air and water pumping switching is improved, and the air and water pumping switching time is shortened; and meanwhile, when dangerous working conditions that gas accumulation exceeds the limit due to hole blocking behind the drill hole or carbon monoxide gas appears in the drill hole and the like, rapid and automatic response processing can be achieved. The air and water pumping conversion efficiency is improved, the labor intensity of workers is relieved, and key technical support is provided for coal mine underground automatic drilling whole-process operation.

The invention relates to a high-precision hydraulic charging regulation and control method and system based on a PID and MPC combined algorithm, and the method comprises the steps: collecting a pulse pressure waveform borne by a pressure-bearing part under a target working condition, and collecting a corresponding relation between a control instruction of the opening degree of a regulating valve and the pulse pressure waveform, constructing a pulse pressure waveform library to update a target waveform of the target working condition; creating a state space model to update dynamic characteristics of the hydraulic charging system, dynamically optimizing pre-regulated first-step control input through an MPC algorithm according to the dynamic characteristics, and updating a real waveform tracking target waveform of prediction output in a rolling manner until prediction similarity meets a set threshold value of the target waveform; and in response to the condition that the predicted similarity meets a set threshold value, selecting a PID algorithm to perform feedback adjustment and dynamic compensation on the control input of the real waveform, and outputting target control input simulating the target waveform under the target working condition. The precision, efficiency and flexibility of regulation and control of the hydraulic filling system can be improved.

The invention relates to the technical field of ship hydraulic monitoring, and discloses a marine ship hydraulic oil cylinder state monitoring and sealing performance early warning system. A multi-source sensing data acquisition module of the system synchronously obtains multi-dimensional time sequence operation data of an oil cylinder through a vibration sensor, a pressure sensor and a temperature sensor; the data preprocessing fusion module is used for carrying out noise suppression, timestamp alignment and multi-modal fusion on the data to generate a standardized oil cylinder state feature sequence; the sealing characteristic depth extraction module is used for analyzing sealing cavity pressure fluctuation, piston rod displacement oscillation and sealing piece deformation trend characteristics from the characteristic sequence; the multi-scale state evaluation module is used for calculating a sealing performance degradation gradient and a dynamic operation stability coefficient according to the characteristics; and the early warning decision generation module is used for generating a sealing failure risk level and an early warning control instruction based on the calculation result. According to the system, stable operation of the oil cylinder is guaranteed, and the maintenance cost and the safety risk are reduced.

The invention discloses a self-adaptive asymptotic preset performance tracking control method for a hydraulic multi-way valve control system, which is characterized in that a self-adaptive hydraulic multi-way valve control system controller is designed on the basis of a constructed asymptotic preset performance function by fusing an error symbol integral robust method. Aiming at the hydraulic multi-way valve control problem, the adaptive recursive error symbol integral robust control law is adopted, compensation of parameter uncertainty is achieved, error symbol integral robust control and preset performance control are fused, system matching and mismatching interference can be processed, the transient performance and the steady-state performance of the system are guaranteed, and the system reliability is improved. The specified tracking performance can be achieved, and the asymptotic stability of the system is achieved.

The invention relates to the technical field of automatic control, in particular to a large-tonnage frame type hydraulic machine hydraulic control system which comprises a load fluctuation detection module, a local nonlinear modeling module, a filter design module, a real-time feedback module and a gain adjustment module. According to the method, by monitoring and analyzing the load fluctuation data of the hydraulic machine in real time, the characteristics of load change can be accurately recognized, the pressure and flow of the hydraulic system can be automatically adjusted, and after the amplitude, frequency and period information of load fluctuation is extracted, the nonlinear effect in the system can be effectively controlled by combining dynamic behavior modeling of the hydraulic machine; operation errors are reduced, the filter is adaptively adjusted, gain control is performed, the response speed and precision of the hydraulic machine to load fluctuation are improved, pressure and flow control is optimized, stable operation of the system under different working conditions is ensured, and the stability and precision of the control system are improved.

The invention provides an intelligent optimization control method for stable operation of a hydraulic system in a complex environment, which comprises the following steps of: aiming at an abnormal mode, optimizing power configuration parameters by adopting a genetic algorithm, determining a standby pump activation threshold value and a main pump switching condition, and obtaining a power redundancy scheme; according to the slow response reason, pipeline interface data are obtained, a feedback control mechanism is adopted to adjust valve group cooperation parameters, and a rapid pressure adjustment sequence is obtained; acquiring real-time feedback data according to the final optimization instruction, and processing high-temperature and high-dust influence through an iterative updating process to obtain stable operation configuration; according to the stable operation configuration, the state of the whole system is judged, and if the state meets the preset standard, a cooperative control result is output and used for maintaining continuous operation of the hydraulic system in the complex environment.

The invention discloses a multi-information fusion hydraulic cylinder internal leakage fault diagnosis method, and relates to the technical field of hydraulic cylinder fault diagnos.The hydraulic cylinder internal leakage fault diagnosis method comprises the steps that firstly, a hydraulic cylinder heavy load, time-varying and nonlinear motion curve and a test system based on a multi-source sensor are constructed, and internal leakage fault evolution under the actual working condition is simulated; and secondly, developing a hybrid deep learning semi-supervised feature fusion framework based on a convolutional auto-encoder, a multi-head attention mechanism, residual connection and a bidirectional sequential network, and enhancing the characterization learning ability of a multi-source signal in a complex and multi-noise environment through omnibearing deep feature decoupling. And finally, feature extraction and fusion are realized by using the displacement error and the pressure signal, and fault diagnosis is completed. Experiments show that compared with a comparison model, the diagnosis accuracy of the provided model and feature fusion strategy is improved by 3.95%; under-3 decibel noise, the accuracy is improved by 2.33%, and the scheme has high accuracy, reliability and generalization performance.

The invention belongs to the technical field of hydraulic transmission and control, and discloses a high-precision positioning control method and system of a servo electro-hydraulic actuator. Real-time operation parameters of a servo electro-hydraulic actuator under different working frequencies are obtained, a servo valve dynamic return difference characteristic curve is constructed, a return difference characteristic change mode is extracted, and a dynamic influence model of return difference characteristic change on positioning precision is established. Based on the model, a frequency self-adaptive compensation strategy is designed in combination with a pressure fluctuation value of a hydraulic system, and real-time correction of a servo valve control signal is achieved. According to the method, a differentiation strategy combining low-frequency feed-forward compensation and high-frequency feedback compensation is innovatively adopted, a smooth transition mechanism is designed, and the problem that the positioning precision fluctuates under the frequency change working condition in a traditional control method is solved. According to the invention, high-precision positioning control of the servo electro-hydraulic actuator in a full frequency band range is realized, and the positioning precision and stability of the system under a dynamic working condition are improved.

The invention relates to the technical field of pressure adjusting devices, in particular to a self-adaptive pressure adjusting system and method for a double-roller rolling machine, and the system comprises a pressure intensity judgment module, a section analysis module, a deformation characteristic module, a hydraulic adjusting module and a coupling correction module. According to the method, the yield risk is recognized in advance by obtaining and analyzing the roller contact pressure difference value in real time, recognizing the asymmetric trend of the left pressure and the right pressure in combination with a support vector mechanism to judge the deviation direction, dynamically segmenting the section diameter and calculating the difference to improve the deformation resolution, and vectorizing and analyzing the included angle relation between the section deformation and the roller displacement; in hydraulic analysis, time delay and valve control flow velocity are coupled, pressure regulation continuity is guaranteed, roller posture change is judged through cooperation of a roller shaft and a section trend, hydraulic output is dynamically corrected, and stable pressure regulation and intelligent adaptation are achieved.

The invention relates to the technical field of intelligent control of heavy equipment, in particular to a hydraulic synchronous intelligent control system for segmented turnover of an overweight steel structure, and discloses the hydraulic synchronous intelligent control system for segmented turnover of the overweight steel structure. According to the system, full-field strain data of a structure surface is acquired by deploying a flexible grid sensor array, and a deformation gradient topological graph is constructed to identify an instability risk area. And a dynamic fluid network model of the hydraulic system is established, fluid-solid coupling simulation is carried out in combination with deformation characteristics, and pressure pulsation transmission paths under different control instructions are predicted. And the system dynamically optimizes a data sampling strategy and network model parameters according to a prediction path, generates a hydraulic cylinder coordination action instruction subjected to pressure balance verification, and finally drives an execution mechanism to complete turnover operation. According to the scheme, full-field real-time sensing of structural deformation and dynamic coupling prediction control of hydraulic fluid are achieved, and the safety and control precision of the overweight component in the turnover process are improved.

The invention discloses a health state detection method and system for an aircraft hydraulic system, and relates to the field of aerospace engineering, and the method comprises the steps: dividing a multi-modal data flow into an operation parameter subset and an acoustic emission subset, carrying out the preprocessing, respectively extracting features, generating feature vectors, splicing the two feature vectors into a fusion feature vector, and carrying out the recognition of the fusion feature vector; the fusion feature vector code is mapped into a quantum initial state, a quantum annealing model is established, a state characterization result is obtained, a pre-trained deep neural network is used for processing the state characterization result, a health index is calculated, and a structured diagnosis result of the aircraft hydraulic system is obtained; according to the method, a nonlinear coupling relationship among multiple variables is processed by using a quantum annealing technology, state probability distribution of the aircraft hydraulic system is generated through quantum optimization, and potential characteristics of a complex state are captured.

The hydraulic cylinder intelligent real-time monitoring device comprises a hydraulic cylinder assembly and an optimization system, the hydraulic cylinder assembly comprises a cylinder body, an end cover, a bottom cover, a piston rod and a piston body, the end cover and the bottom cover are fixed to the two ends of the cylinder body respectively, and the piston body is installed in an inner cavity of the cylinder body and movably connected with the inner cavity of the cylinder body. Operation data of the hydraulic cylinder can be collected in real time through the pressure sensor, the position sensor and the acceleration sensor, the optimization system analyzes and processes the operation data through an artificial intelligence algorithm, operation faults of the hydraulic cylinder can be found in time, corresponding maintenance measures are taken, and the maintenance efficiency is improved. And the working parameters of the hydraulic system can be automatically adjusted according to the operation data, the performance of the hydraulic cylinder is optimized through an artificial intelligence algorithm, efficient and accurate control is achieved, meanwhile, energy consumption is reduced, the service life of the hydraulic cylinder is prolonged, faults are reduced, and stable operation of equipment is guaranteed.