Multifunctional hydraulic system experiment table

Abstract

The invention discloses a multifunctional hydraulic system experiment table, which relates to the technical field of hydraulic system experiment tables and comprises a time base line synchronous control module, a phase lock correction stability control module, a false peak identification and correction module, a multi-dimensional fault-tolerant judgment control module and a reverse energy slow-release anti-reverse module. And the time base line synchronous control module is used for establishing a cross-sensor unified time base line control structure, generating a synchronous reference surface by using a high-stability crystal oscillator signal, and executing nanosecond phase calibration on sampling signals of the pressure sensor and the flow sensor by taking the synchronous reference surface as a unified time reference. According to the invention, high-precision synchronous acquisition of pressure and flow signals is realized through unified time base line and phase locking correction, and high-pressure transient test data is ensured to be real and stable; and meanwhile, control logic is reconstructed, and an energy slow release strategy is introduced, so that the pressure relief process is stable and controllable, pump reverse rotation and structural impact are avoided, and the safety, reliability and self-healing stability of the experiment table are remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hydraulic system experiment table, and particularly relates to a multifunctional hydraulic system experiment table. BACKGROUND

[0002] The multifunctional hydraulic system experiment table is a comprehensive experiment platform integrating hydraulic power supply, component testing, data acquisition and teaching demonstration, and is used for researching, verifying and teaching demonstrating the basic principles and engineering applications of hydraulic transmission and control technology. The core function thereof is to provide adjustable pressure and flow output for different types of hydraulic actuating components (such as actuating cylinders, hydraulic motors, PTUs, PCUs, etc.) through a double-pump power source composed of a high-pressure plunger pump and a low-pressure vane pump; meanwhile, control components such as relief valves, throttle valves and electromagnetic directional valves are provided to realize various experiment modes such as pressure regulation, speed control and direction switching. The experiment table is internally provided with a high-precision sensor network and a data acquisition system, which can monitor key parameters such as pressure, temperature and liquid level in real time, and can be visually displayed, recorded and analyzed through upper computer software (such as LabView). The system has both engineering testing and teaching demonstration properties, and can not only be used for verifying the performance of hydraulic components and the stability of the system, but also be used for teaching and fault diagnosis experiments of hydraulic system principles in the fields of aviation, machinery and transportation.

[0003] The prior art has the following disadvantages: During the high-pressure transient test phase of the hydraulic system experiment table, the sampling time of the pressure transmitters and flow sensors is prone to microsecond-level deviation due to the high-frequency response and strong vibration environment of various sensors in the system, resulting in the loss of synchronization stability of the phase-locked mechanism of the data acquisition system. At this time, the phase matching relationship of the transmission signal is destroyed, the instantaneous data curve appears abnormal peak stacking, and false peak value response unrelated to the actual pressure is formed. The upper computer control logic cannot identify the signal abnormality, and mistakenly judges the pseudo-peak as a high-pressure jump event, triggering an emergency pressure relief program, so that the measured component is unloaded in advance when the load has not reached the preset condition, destroying the pressure balance of the test process. Due to the time difference between the unloading instruction execution and the hydraulic pump output, a reverse energy flow is formed in the oil circuit, the pressure gradient in the hydraulic pump is reversed sharply, a short-time reverse torque impact is generated, the pump shaft is reversed instantaneously, and the structure stress concentration and fracture of the main shaft coupling are caused, which can even cause the power unit to be scrapped and the system to be unstable.

[0004] The above information disclosed in the background section is only used to enhance the understanding of the background of the present disclosure, and therefore it can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0005] The purpose of the present application is to provide a multifunctional hydraulic system experiment table to solve the problems in the background.

[0006] To achieve the above object, the present application provides the following technical solutions: a multifunctional hydraulic system experiment table, comprising a time baseline synchronous control module, a phase-locked correction stable control module, a false peak identification correction module, a multi-dimensional fault-tolerant decision control module and a reverse energy buffer anti-reverse module; The time baseline synchronous control module establishes a cross-sensor unified time baseline control structure, generates a synchronous reference surface using a high-stability crystal oscillator signal, and uses the synchronous reference surface as a unified time reference to perform nanosecond-level phase calibration on the sampling signals of the pressure sensor and the flow sensor, so that the output signals of different sensors remain consistent in sampling timing under the same time baseline, thereby obtaining a timing consistency matrix containing the synchronization characteristics of the pressure signal and the flow signal; The phase-locked correction stable control module, under the constraint of the unified time baseline control structure, constructs an adaptive phase-locked correction network, extracts the sampling drift characteristics using the obtained timing consistency matrix, calculates the time offset trend in real time, and synchronously corrects the sampling sequence through a phase conjugate write-back mechanism, so that the corrected time domain signal remains continuous and stable; The false peak identification correction module, based on the output phase-locked correction signal, establishes a false peak discrimination model, jointly analyzes the gradient difference trajectory between the pressure signal and the flow signal, identifies and eliminates non-physical responses using a phase coupling inversion method, and generates a trusted data window containing only physically valid signals; The multi-dimensional fault-tolerant decision control module, according to the obtained trusted data window result, reconstructs the control logic trigger structure of the hydraulic system experiment table, embeds the multi-time window consistency test and phase connectivity checking algorithm into the control decision-making process, forms a multi-dimensional fault-tolerant decision chain, so that the triggering of the emergency pressure relief command must simultaneously satisfy the composite conditions of timing consistency, amplitude continuity and energy trend stability, to prevent the occurrence of false triggering; The reverse energy buffer anti-reverse module, under the stable operation condition of the formed multi-dimensional fault-tolerant decision chain, constructs a reverse energy buffer control strategy, adjusts the driving frequency of the hydraulic pump and the opening degree of the control valve according to the energy gradient change law of the pressure relief trigger signal, uses timing feedback to realize dynamic buffering of the pressure relief rate and energy absorption of the reverse torque, thereby establishing a closed-loop anti-reverse control mechanism with self-healing characteristics.

[0007] Preferably, the step of establishing a cross-sensor unified time baseline control structure comprises: A high-stability crystal oscillator is set as the core clock source of the unified time baseline, the reference signal output by the high-stability crystal oscillator is distributed to the data acquisition units of the pressure sensor and the flow sensor, and delay equalization design is implemented on the time reference signal transmission path, so that the reference signals received by each sensor remain consistent in phase; After obtaining the unified time baseline, the response delay difference of the two sensors is measured by injecting the same amplitude and frequency of the calibration pulse signal, and the signal distribution of the high-stability crystal oscillator is adjusted according to the calibration result to realize the coincidence of the sampling starting point; After completing the synchronization of the sampling starting point, the time drift in the sampling period is continuously monitored, and the phase of the reference signal distribution is adjusted according to the drift trend to keep the sampling trigger dynamic time stability; The synchronously collected pressure signal and the flow signal are verified for time sequence consistency according to the unified time baseline to generate a time sequence consistency matrix reflecting the phase consistency of the signals.

[0008] Preferably, in the process of continuously monitoring the time drift in the sampling period and adjusting the phase of the reference signal distribution, the microsecond phase drift trend is identified by detecting the time interval change of the pressure sensor and the flow sensor under the unified time baseline, and the high-stability crystal oscillator output signal is compensated in real time to ensure that the time axis of the pressure signal and the flow signal remains strictly parallel in the entire sampling period, realizing the dynamic time stability of the sampling process.

[0009] Preferably, the step of constructing an adaptive phase-locked correction network comprises: After the unified time baseline control structure is established and the time sequence consistency matrix is obtained, the time sequence correspondence of the pressure signal and the flow signal is continuously monitored, the characteristic information reflecting the time offset is extracted, and the microsecond offset trend is identified according to the characteristic; After the sampling drift characteristics are extracted, the time offset trend is monitored and evaluated in real time, and the time reference signal of the high-stability crystal oscillator is adjusted in a small phase to maintain the synchronization correspondence between the unified time baseline and the sensor sampling signal; After the time offset trend is confirmed, a phase conjugate backwriting process is performed to adjust the time position of the sampling sequence in a small amount, so that the pressure signal and the flow signal are realigned to the reference position of the unified time baseline; The corrected signal is remapped into the time sequence consistency matrix for comparison and verification to confirm the continuity and stability of the phase-locked corrected signal in the time domain.

[0010] Preferably, in the phase conjugate backwriting process, the time reference signal output by the high-stability crystal oscillator is taken as the reference to implement synchronous small compensation for the sampling points of the pressure signal and the flow signal, so that the phase deviation of the corrected signal under the unified time baseline is kept within a preset tolerance range, ensuring the time sequence continuity and phase consistency of the two types of signals in the entire sampling period.

[0011] Preferably, the step of establishing a false peak discrimination model comprises: After obtaining the phase-locked corrected pressure signal and flow signal, the time variation trends of the two types of signals are synchronously analyzed, a gradient difference trajectory reflecting the transient response relationship is constructed on a unified time baseline, and false peak signals are preliminarily identified according to sudden discontinuous points or reverse sudden jump phenomena in the trajectory; After obtaining the preliminarily identified region, the phase relationship between the pressure signal and the flow signal is locally amplified and analyzed, and the time interval and amplitude range of the false peak are confirmed by comparing the phase variation direction and the relative time delay; After determining the false peak region, phase coupling inversion processing is performed, the abnormal jump part is corrected and backfilled according to the continuity of adjacent real signals, and the signal variation is kept natural transition; The corrected pressure signal and flow signal are re-paired according to the unified time baseline, the time continuity and phase consistency are verified, and a credible data window containing only physically valid signals is generated.

[0012] Preferably, when performing phase coupling inversion processing, the correction and backfilling are performed by matching the pressure change rate and the flow change rate of the adjacent real signals in the time interval where the false peak is located, so as to keep the phase corresponding relationship between the corrected pressure signal and the flow signal under the unified time baseline, and to ensure that the energy transfer characteristics of the pressure and the flow in the generated credible data window remain stable and consistent.

[0013] Preferably, the step of reconstructing the control logic trigger structure of the hydraulic system experiment table comprises: After obtaining the credible data window, the time sequence consistency of the time continuous data in the window is analyzed, the entire acquisition period is divided into a plurality of continuous time windows, and the real energy transfer state is identified and the abnormal region is filtered out by comparing the pressure variation trend and the flow response trajectory of adjacent time windows; After completing the multi-time window consistency test, the phase connectivity in the same credible data window is checked, the phase difference and the time delay of the pressure signal and the flow signal are compared, and the synchronization relationship of the signals is confirmed; Based on the multi-time window consistency and phase connectivity checking results, a multi-dimensional fault-tolerant decision chain is established, which takes time continuity, amplitude stability and energy trend consistency as criteria, and performs composite trigger determination on the pressure rising process; Under the condition that the decision chain is stably running, the dynamic reconstruction of the control logic is completed, so that the trigger of the emergency pressure relief command must meet three conditions at the same time to ensure the safety and stability of the system.

[0014] Preferably, in the process of establishing the multi-dimensional fault-tolerant decision chain, a threshold value is set for the phase difference change rate of the pressure signal and the flow signal, when it is detected that the phase difference in adjacent time windows exceeds the preset range, the pressure relief trigger determination is automatically delayed, and the energy trend is checked again to ensure that the pressure relief trigger is only executed when the phase connectivity and the energy stability meet the conditions at the same time.

[0015] Preferably, the step of constructing the reverse energy release control strategy comprises: After the multi-dimensional fault-tolerant decision chain confirms that the pressure relief trigger condition is established, the energy gradient change curve corresponding to the pressure relief trigger signal is obtained, the energy change before and after pressure relief is compared, the time gradient characteristics of energy release are determined, and when the change rate exceeds the preset threshold, the energy release regulation stage is entered; After obtaining the energy gradient change rule, the driving frequency of the hydraulic pump is adjusted in real time, so that the output power and the pressure relief rate are dynamically matched, and energy balance and pressure stability are achieved by reducing or increasing the driving frequency; While adjusting the driving frequency of the hydraulic pump, the control valve opening is synchronously coordinated, the valve opening is adjusted by monitoring the slope change trend of the energy gradient curve, and the energy release process is changed from sudden drop to slow release; After completing the synchronous adjustment of the driving frequency of the hydraulic pump and the control valve opening, closed-loop energy feedback is performed, and when it is detected that the energy release tends to be balanced or shows reverse signs, a secondary slow release operation is performed to prevent the hydraulic pump from reversing.

[0016] In the above technical solution, the technical effects and advantages provided by the present application are: By establishing a unified time baseline control structure across sensors and cooperating with an adaptive phase-locked correction mechanism, the present application realizes time synchronization and phase consistency of pressure signals and flow signals in high-frequency dynamic acquisition process, so that the hydraulic system test bench can still maintain high precision and timing stability of signal sampling under high-pressure transient environment. Through nanosecond-level phase calibration and real-time correction of time base drift of sensor output, the problems of signal misplacement and false peak superposition caused by inconsistent sampling timing of multiple sensors are solved, so that the collected signals completely correspond to the actual physical response, thereby significantly improving the authenticity and repeatability of test data.

[0017] The present application reconstructs the control logic trigger structure on the basis of the trusted data window, and introduces a multi-dimensional fault-tolerant decision chain and a reverse energy release control strategy, realizes intelligent decision and energy self-balancing regulation of the hydraulic system during pressure relief, and makes the trigger of emergency pressure relief action more accurate, safe and controllable. Through synchronous adjustment of the driving frequency of the hydraulic pump and the control valve opening, the energy release process is changed from sudden change to gradual change, which significantly weakens the reverse torque impact and mechanical stress concentration phenomenon, prevents the hydraulic pump from reversing and the power unit structure from being damaged, not only improves the operation safety and equipment life of the hydraulic system test bench, but also makes the system have self-healing and dynamic stability in high-pressure transient test. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed in the embodiments will be briefly introduced as follows. Obviously, the accompanying drawings in the following description only represent some embodiments described in the present application, and for those skilled in the art, other drawings can also be obtained from these drawings.

[0019] Figure 1 A module schematic diagram of the multifunctional hydraulic system experiment table. DETAILED DESCRIPTION

[0020] Example implementations will now be described more fully with reference to the accompanying drawings. Example implementations may, however, be implemented in many different forms and should not be construed as limited to the examples set forth herein; rather, these example implementations are provided so that this disclosure will be thorough and complete, and will fully convey the scope of example implementations to those skilled in the art.

[0021] The present application provides a multifunctional hydraulic system experiment table as shown in Figure 1 The multifunctional hydraulic system experiment table comprises a time baseline synchronous control module, a phase-locked correction stable control module, a false peak identification correction module, a multi-dimensional fault-tolerant decision control module and a reverse energy buffer anti-reverse module. The time baseline synchronous control module establishes a cross-sensor unified time baseline control structure, generates a synchronous reference surface using a high-stability crystal oscillator signal, and uses the synchronous reference surface as a unified time reference to perform nanosecond-level phase calibration on the sampling signals of the pressure sensor and the flow sensor, so that the output signals of different sensors remain consistent in sampling timing under the same time baseline, thereby obtaining a timing consistency matrix containing the synchronization characteristics of the pressure signal and the flow signal. The specific implementation of this step is as follows: A high-stability crystal oscillator is set as the core clock source of the unified time baseline, and a single frequency reference signal is introduced into the signal acquisition link of the hydraulic system experiment table. The reference signal output by the high-stability crystal oscillator is distributed to the data acquisition units of the pressure sensor and the flow sensor, and a time reference channel is established at the input end of the sensor, so that the sampling behavior of both types of sensors is performed based on the unified frequency signal. In order to avoid sampling deviation caused by signal transmission delay, a delay equalization design is introduced on the time reference signal transmission path, so that the time reference signals received by each sensor remain consistent in phase. In this way, a unified time reference framework is established across sensors, ensuring that each sensor can still complete the sampling action based on the same time under the high-frequency vibration and high-pressure impact environment of the hydraulic system, providing a stable foundation for subsequent phase calibration.

[0022] After obtaining the unified time baseline, the sampling signals of the pressure sensor and the flow sensor are time response checked. By injecting the same amplitude and frequency of the calibration pulse signal in the front end of the signal sampling of the two types of sensors, the response delay and the difference of the sampling starting time of the two sensors under the same excitation are measured, so as to obtain the quantitative characteristics of the sampling time error. According to the calibration results, the reference signal output by the high-stability crystal oscillator is redistributed to the sampling ports of the two sensors to compensate for the inherent response delay difference, so that the starting points of the two types of sensors under the same time baseline are accurately overlapped. In this way, not only the starting synchronization of different sensors in the sampling period is ensured, but also the time drift caused by the difference of the response characteristics of the sensors is effectively weakened, so that the time sequence relationship in the subsequent data processing process is more stable.

[0023] After the synchronization of the sampling starting time is completed, the time drift in the sampling period is precisely corrected. At this time, the synchronization signals of the pressure sensor and the flow sensor are continuously monitored under the unified time baseline, and by comparing the time interval stability of the two types of signals in the whole sampling period, the microsecond level phase drift trend is identified. When the subtle change of the time interval is detected, the distribution phase of the reference signal of the high-stability crystal oscillator is immediately adjusted to make a small time compensation for the sampling trigger of the two types of sensors, so as to eliminate the time jitter caused by temperature change, mechanical vibration or line capacitance effect. Through multiple iterative corrections, the time axis of the pressure signal and the flow signal in the whole sampling period is kept strictly parallel, and the dynamic time stability of the sampling process is realized. The key of this process is to always take the unified time baseline as the sampling trigger basis, to ensure that at any time, the sampling points of the pressure signal and the flow signal correspond to the same time reference position, so as to realize the time sequence equal-step collection in the true sense.

[0024] After the time drift correction is completed, the pressure signal and the flow signal obtained by synchronous collection are verified for time sequence consistency, and a time sequence consistency matrix containing the synchronization characteristics of the two types of signals is generated. The matrix takes the unified time baseline as the horizontal axis, and the pressure sampling value and the flow sampling value at the same time are corresponded in time sequence, so as to build the synchronization mapping relationship across signals. Through the mapping relationship, the correspondence and phase consistency of the two types of signals in the time dimension can be intuitively reflected, and the data basis for subsequent signal reliability analysis is provided. The time sequence consistency matrix not only records the sampling correlation state of the two types of sensors under the unified time baseline, but also reflects the real-time dynamic characteristics of the system in the high-pressure transient response process. It has been verified for many times that this method can effectively eliminate the phase misalignment and false peak stacking phenomenon caused by the non-uniform sampling reference, so that the sampling signals maintain a high time coupling consistency, and provide accurate time reference support for the subsequent signal identification, state judgment and control logic decision of the hydraulic system.

[0025] Through the above steps, the cross-sensor unified time baseline control structure is realized in a high-frequency and high-vibration hydraulic test environment, which not only ensures the accurate synchronization of the sampling time sequence of the pressure sensor and the flow sensor, but also establishes a quantifiable and verifiable signal consistency reference system in the time domain.

[0026] The phase-locked correction stable control module, under the constraint of the unified time baseline control structure, constructs an adaptive phase-locked correction network, extracts the sampling drift characteristics using the obtained time consistency matrix, calculates the time offset trend in real time, and synchronously corrects the sampling sequence through the phase conjugate write-back mechanism, so that the corrected time domain signal remains continuous and stable. The specific implementation of this step is as follows: After the establishment of the unified time baseline control structure and the acquisition of the time consistency matrix, the characteristic information reflecting the time offset is extracted by continuously monitoring the time sequence correspondence of the pressure signal and the flow signal in the matrix. Under the high-pressure transient condition of the hydraulic system, due to the effects of mechanical vibration, electromagnetic interference or temperature drift, the time response of the sensor output signal may have a slight deviation. Therefore, in this implementation process, the time consistency matrix formed in the previous stage is taken as the time reference, and the current acquisition signal is compared with the corresponding time value in the reference matrix, and the microsecond-level offset trend on the time axis is identified. Through this continuous comparison method, it can be accurately judged whether the phase relationship of the pressure signal and the flow signal under the same time baseline deviates, and a quantitative basis is provided for subsequent time synchronization correction. At this time, the entire correction process is still carried out under the constraint of the unified time baseline, ensuring that all judgments are based on the same reference time as the starting point.

[0027] After the sampling drift characteristics are extracted, the time offset trend obtained is monitored and evaluated in real time. Since the fluctuations of the hydraulic system under high pressure are often periodic, to avoid misjudgment caused by single sampling anomaly, it is required to track the change direction and rate of the time offset in continuous multiple sampling periods, so as to obtain the stability trend of the sampling drift. When the same direction of time offset is detected in the continuous sampling sequence, it means that the sensor sampling time base is drifting stably. At this time, the time reference signal output by the high-stability crystal oscillator will be adjusted in a small phase to maintain the synchronization correspondence between the unified time baseline and the sensor sampling signal. Through this continuous tracking and trend correction mechanism, the relationship between the time reference and the sampling signal can still be consistent under dynamic working conditions, ensuring the effectiveness of the subsequent signal correction process.

[0028] After the confirmation of the time offset trend is completed, the phase conjugate write-back process is started to repair the time synchronization of the sampling sequence. The key of this process is to use the previously analyzed offset characteristics to reverse the time domain position of the sampling sequence, so that the signal sampling points are realigned to the reference position of the unified time baseline. Specifically, in each sampling period, according to the detected time offset, the sampling points of the pressure signal and the flow signal are adjusted in time relative to the reference timeline, so that the two types of signals in the same sampling period are restored to the phase matching state. This process does not change the amplitude characteristics of the signal, but only rearranges the relative position of the signal sampling points in the time domain, thereby achieving physical synchronization repair. By performing phase conjugate write-back multiple times, random time drift caused by mechanical vibration or temperature fluctuations can be effectively eliminated, so that the two types of signals remain phase continuous and time balanced in the entire sampling window.

[0029] After the phase repair of the sampling sequence is completed, the time continuity and stability of the corrected signal are verified to ensure the reliability of the correction effect. At this time, the corrected pressure signal and flow signal are remapped into the time consistency matrix using the unified time baseline as the test basis, and are compared point by point with the matrix before correction. When the comparison result shows that the phase deviation of the corrected signal in the entire time domain remains within the preset tolerance range, and the time interval between each sampling period tends to be constant, it can be determined that the phase-locked correction process reaches a stable state. The verified signal will be input as high-precision synchronous sampling data to the subsequent signal analysis and control logic stage. Through this process, the signal acquisition accuracy of the entire hydraulic test platform in the high-pressure transient test environment is significantly improved, avoiding the problems of phase confusion, false peak superposition, and control logic misjudgment caused by time drift in traditional data acquisition methods.

[0030] Through the above implementation steps, the adaptive phase-locked correction structure realizes dynamic stability and continuous repair of the sampling signal under the constraint of the unified time baseline, so that the time relationship between the pressure signal and the flow signal in the hydraulic system remains highly consistent, not only improving the time integrity of the signal, but also providing a data basis for subsequent false peak identification and control logic reconstruction.

[0031] The false peak identification and correction module, based on the output phase-locked correction signal, establishes a false peak identification model, jointly analyzes the gradient difference trajectory between the pressure signal and the flow signal, and uses the phase coupling inversion method to identify and eliminate non-physical responses, generating a credible data window containing only physically valid signals. The specific implementation of this step is as follows: After obtaining the phase-locked corrected pressure signal and flow signal, the time variation trend of the two types of signals is analyzed synchronously to construct the gradient difference trajectory reflecting the transient response relationship. The core of this process is to use the time continuity of the phase-locked corrected signal output in the previous stage to synchronize the comparison of pressure change rate and flow change rate on the unified time baseline, so as to obtain the response corresponding characteristics of the two at the same time. Since there is an energy transfer relationship between pressure change and flow change in the normal working state of the hydraulic system, the gradient difference trajectories of the two should maintain phase coordination and consistent change within a certain time range. When there are sudden discontinuous points or reverse jump phenomena in the gradient difference trajectory, it can be preliminarily judged that there may be false peak signals in this area. In this way, the time consistency characteristics of the phase-locked corrected signal are used to make the non-physical disturbance explicit in the time dimension, providing a preliminary screening basis for subsequent identification.

[0032] After obtaining the preliminary identification area, the phase relationship between the pressure signal and the flow signal is analyzed in depth to further confirm the characteristic distribution of the false peak. Specifically, under the constraint of the unified time baseline, the abnormal response area detected in the previous step is locally magnified and observed, and the phase change direction and relative delay of the two types of signals in this time period are compared. When the hydraulic system is in a real physical response state, the phase change of the pressure signal should maintain a stable relative relationship with the phase evolution of the flow signal, that is, when the pressure rises, the flow usually presents a predictable change trend. In the case of false peak formation, the pressure signal often shows instantaneous jump characteristics unrelated to the flow signal, and the jump does not have the causal correspondence of energy transfer. By comparing the continuity of the phase change and the energy trend matching of the two types of signals on the time baseline, the time period and amplitude range of the false peak can be accurately identified, providing accurate positioning for the next step of non-physical response elimination.

[0033] After determining the time interval where the false peak is located, the signal in this region is subjected to phase coupling inversion processing to eliminate the interference of non-physical response on the overall data structure. The key of this process is to use the phase corresponding characteristics of the pressure signal and the flow signal under the unified time baseline to inversely track the signal change trend before and after the false peak, and to correct and backfill according to the continuity of the adjacent real signal. Specifically, for the detected false peak time period, the real response of its adjacent interval is taken as a reference for time continuity, and the abnormal jump part is re-integrated into the overall time sequence through a smooth phase connection method, so that the change trend of the signal remains natural transition in time, thereby eliminating the phase fault caused by non-physical mutation. After inversion correction, the signal curve can reflect the energy corresponding relationship between pressure and flow again, so that the overall signal restores physical rationality and time continuity. This process not only eliminates the interference of single-point noise or local disturbance on system judgment, but also reconstructs the real dynamic response trajectory in the time dimension.

[0034] After completing the inversion correction of the non-physical response, the processed signal is subjected to credible data verification to generate a credible data window containing only real physical characteristics. This process takes the unified time baseline as a reference, re-pairs the corrected pressure signal and flow signal on the time axis to form a two-dimensional data window containing synchronous characteristics. In this data window, all time points correspond to physically consistent pressure-flow relationship, and there is no phase misalignment, amplitude jump or signal fault phenomenon. By continuously monitoring the stability and consistency of the data window, it can be verified whether the signal maintains the real response characteristics during the entire test period. When the time continuity, phase consistency and energy change trend of the data window all conform to the physical laws of the hydraulic system, it can be used as the input data source for subsequent control logic judgment and state recognition. It has been verified that the credible data window can effectively isolate transient interference, sensor noise and sampling pseudo-peak and other non-physical factors, so that the hydraulic test bench obtains highly reliable original signal input in high-pressure dynamic test.

[0035] Through the above steps, the false peak discrimination structure realizes a complete closed-loop process from time consistency verification, phase coupling analysis, non-physical response repair to credible data window generation on the basis of phase-locked corrected signal. This implementation can actively identify and eliminate false signals caused by transient noise without relying on external correction equipment, thereby ensuring the authenticity and stability of data collected by the hydraulic system under complex dynamic working conditions.

[0036] The multi-dimensional fault-tolerant decision control module reconstructs the control logic trigger structure of the hydraulic system test bench according to the obtained trusted data window result, embeds the multi-time window consistency inspection and phase connectivity checking algorithm into the control decision flow, forms a multi-dimensional fault-tolerant decision chain, and makes the triggering of the emergency pressure relief instruction meet the composite conditions of time sequence consistency, amplitude continuity and energy trend stability, so as to prevent the occurrence of false triggering. The specific implementation of this step is as follows: After obtaining the trusted data window, the time sequence consistency of the time continuous data in the window is analyzed to construct a multi-time window inspection framework. This step takes the time axis in the trusted data window as the reference, divides the entire signal acquisition period into several continuous time windows, and each time window corresponds to the pressure and flow corresponding relationship of the hydraulic system in a specific dynamic stage. By comparing the pressure change trend and flow response trajectory in adjacent time windows, the signal continuity and response continuity between the time windows are judged. When it is detected that the pressure rise rate and flow change direction between adjacent time windows remain consistent and the change proportion is stable, it is confirmed that the system is in a normal dynamic loading state; if a pressure surge occurs in a time window without corresponding flow change, it is considered as a potential abnormal area and needs to be delayed into the control decision flow. Through this segmented continuity inspection method, the system can identify the real energy transmission state in the time dimension, so as to realize the time pre-screening of the data authenticity before the control logic judgment.

[0037] After completing the multi-time window consistency inspection, the phase connectivity in the same trusted data window is checked to verify the synchronization relationship of the pressure signal and the flow signal under the time baseline. This step relies on the time sequence consistency result of the previous stage to compare the phase of the pressure peak value and the corresponding flow response in each time window. When the hydraulic system is running in a normal state, the phase difference between the pressure and the flow should be kept within a reasonable physical delay range and should show a continuous trend with the change of the system load. When it is detected that the phase connectivity is interrupted in a certain time period, that is, the pressure peak value appears without corresponding flow response, or the time delay of the two exceeds the physical allowable range, it is determined that there is abnormal signal in this stage. Through this phase connectivity checking method, transient false peaks caused by external vibration, electrical interference or sampling error can be further eliminated, so that the signal entering the control logic remains true characteristics of time consistency and energy correspondence. This step makes the multi-time window inspection result and the phase consistency inspection result cross-verified in the time dimension, providing trusted input for the construction of the subsequent decision chain.

[0038] On the basis of the results of the dual verification of multi-time window consistency and phase connectivity, a multi-dimensional fault-tolerant decision chain is established to realize the composite triggering mechanism of the control logic. The decision chain takes time continuity, amplitude stability and energy trend consistency as the core criteria, and integrates the analysis results of the previous two steps into the overall decision condition. In actual operation, when the pressure of the hydraulic system rises rapidly, the decision chain first determines whether the rising process is continuously changing in multiple adjacent time windows; if verified, it further detects whether the flow curve corresponding to the pressure change maintains consistent trend; finally, it confirms whether the energy conversion of the process is smoothly conducted within a reasonable range. Only when the three conditions are met at the same time, the system will identify this state as a real high-pressure event and allow the entry into the pressure relief triggering logic. If any condition is not met, the event is considered as an abnormal signal and is automatically shielded. Through this multi-dimensional fault-tolerant judgment mode, the anti-interference ability of the control logic is significantly improved, and the risk of misoperation caused by single threshold determination is avoided.

[0039] On the basis of the stable operation of the multi-dimensional fault-tolerant decision chain, the dynamic reconstruction of the control logic triggering structure is completed, making the execution process of the emergency pressure relief command more secure and reliable. At this time, the system needs to go through three triple screenings of multi-time window consistency verification, phase connectivity verification and energy trend balance judgment before each high-pressure mutation determination. Only when the three criteria reach an agreement at the same time under the unified time baseline, the system will issue a pressure relief triggering command, and continuously monitor the energy release rate and pressure drop slope during the pressure relief process to ensure the smooth and controllable pressure relief process. If energy release imbalance or phase relationship anomaly is detected during the pressure relief process, the current pressure relief command is immediately stopped and the decision process is re-entered to prevent system misoperation or structural impact. Through this dynamic decision and real-time correction mechanism, the control logic not only has static anti-misoperation triggering ability, but also can adaptively adjust the decision conditions during operation, so that the entire hydraulic system always maintains a safe and stable operating state under complex working conditions.

[0040] Through the above implementation steps, the reconstructed control logic triggering structure forms a multi-dimensional judgment system based on time consistency, phase connectivity and energy balance under the support of the credible data window, making the emergency pressure relief process of the hydraulic system test bench change from single threshold response mode to composite decision driving mode. This implementation effectively avoids the mis-triggering problem caused by transient false peaks or signal misplacement in traditional control logic, and fundamentally improves the response accuracy of the hydraulic system in high-pressure transient experiments.

[0041] The reverse energy release anti-reverse module, under the stable operation condition of the formed multi-dimensional fault-tolerant decision chain, constructs a reverse energy release control strategy, executes synchronous adjustment on the driving frequency of the hydraulic pump and the opening of the control valve according to the energy gradient change law of the pressure relief trigger signal, and realizes dynamic buffering of the pressure relief rate and energy absorption of the reverse torque by using time sequence feedback, so as to establish a closed-loop anti-reverse control mechanism with self-healing characteristics. The specific implementation of this step is as follows: After the multi-dimensional fault-tolerant decision chain confirms that the pressure relief trigger condition is established, the energy gradient change curve corresponding to the pressure relief trigger signal is immediately obtained to determine the energy distribution state inside the hydraulic system. Based on the synchronous data of pressure and flow recorded in the credible data window, this process compares the energy accumulation stage before pressure relief and the energy decline stage at the beginning of pressure relief to determine the time gradient characteristics of system energy release. The hydraulic system often has an energy sudden drop phenomenon at the moment of high-pressure unloading, and the sudden drop amplitude and duration directly determine the strength and direction of pressure wave propagation in the system. When the energy gradient change rate exceeds the preset balance threshold, it indicates that the pressure relief process will cause obvious pressure reverse fluctuation, and at this time, the energy release regulation stage needs to be entered to prevent the formation of reverse impact. Through this pre-judgment step, the energy reverse transmission trend can be perceived in advance, providing time margin for subsequent dynamic adjustment.

[0042] After obtaining the energy gradient change law, the driving frequency of the hydraulic pump is adjusted in real time, so that its output power and the pressure relief rate remain dynamically matched. Specifically, when the energy decline rate of the pressure relief signal is fast, the driving frequency of the hydraulic pump is reduced to delay the release of the output torque of the hydraulic pump in time, thereby weakening the instantaneous impact of reverse energy backflow; on the contrary, when the pressure relief energy changes slowly, the driving frequency of the hydraulic pump is appropriately increased to maintain the continuity of energy flow inside the system and prevent pressure stagnation caused by slow energy release. This adjustment process relies on the time sequence feedback information provided by the multi-dimensional fault-tolerant decision chain to realize real-time driving response under the condition of maintaining a unified time baseline. Through dynamic control of the driving frequency, an adjustable energy matching relationship is formed between the hydraulic pump and the pressure relief valve, ensuring that the pressure relief action presents a smooth transition feature in the energy layer and avoiding the generation of instantaneous reverse torque peaks inside the hydraulic pump.

[0043] The opening of the control valve is coordinated synchronously to achieve balanced control of the pressure relief rate and system energy release while the hydraulic pump drive frequency is dynamically adjusted. In a specific implementation, the opening of the control valve is finely adjusted by continuously monitoring the slope trend of the energy gradient change curve. When it is detected that the system energy release rate is too fast, the opening of the control valve is gradually reduced to reduce the flow rate of the pressure relief oil flow and prolong the duration of the pressure balance process. When the energy release rate tends to be stable, the opening of the control valve is slowly increased to make the system pressure steadily decrease at a set rate. At this time, the adjustment of the hydraulic pump drive frequency and the change of the opening of the control valve are consistent in time, forming a dynamic symmetry relationship between energy input and output. Through this synchronous adjustment mode, the energy conversion path during the pressure relief process changes from one-way sudden drop to slow release and dispersion, the system pressure fluctuation is effectively suppressed, and the oil flow direction remains stable, thereby preventing the formation of reverse energy flow.

[0044] After the synchronous adjustment of the hydraulic pump drive frequency and the opening of the control valve is completed, closed-loop energy feedback is performed on the entire pressure relief process to achieve anti-reverse control of the self-healing feature. Based on the time series data collected during the pressure relief process, the pressure difference and flow direction between the hydraulic pump outlet and the valve front cavity are monitored in real time. When it is detected that the energy release tends to be balanced and the pressure fluctuation amplitude is lower than the preset threshold, the system automatically maintains the current adjustment state until the pressure relief is completed. If there is a pressure rebound trend or flow direction reversal sign in the late pressure relief, a secondary slow release operation is immediately performed to gradually absorb the residual energy by slightly reducing the pump drive frequency and tightening the opening of the control valve, ensuring that the energy transmission process is completely stable and terminated. It has been verified that the closed-loop energy feedback process can effectively eliminate the risk of hydraulic pump reversal caused by pressure rebound, realize adaptive energy absorption and structural stress balance of the system. After the entire pressure relief cycle is completed, the system automatically returns to the standby state to provide stable initial conditions for the next high-pressure loading.

[0045] Through the above steps, the reverse energy slow release control strategy realizes the dynamic transition of hydraulic system energy from sudden release to gradual balance under the support of a multi-dimensional fault-tolerant decision chain, so that the energy transmission process remains controllable and stable in both time and space dimensions, effectively avoiding the instantaneous reverse torque impact of the hydraulic pump caused by the reversal of the pressure gradient, and introducing a self-healing closed-loop control concept in the energy release link, so that the hydraulic system has self-adjusting and self-balancing capabilities.

[0046] The application realizes time synchronization and phase consistency of pressure signals and flow signals in high-frequency dynamic acquisition process by establishing a cross-sensor unified time baseline control structure and cooperating with an adaptive phase-locked correction mechanism, so that the hydraulic system test bench can still maintain high precision and timing stability of signal sampling under high-pressure transient environment. Through nanosecond-level phase calibration and real-time correction of time base drift of sensor output, the problems of signal misplacement and false peak superposition caused by inconsistent sampling timing of multiple sensors are solved, so that the collected signals completely correspond to the actual physical response, thereby significantly improving the authenticity and repeatability of test data.

[0047] The application realizes intelligent decision and energy self-balancing regulation of the hydraulic system in the pressure relief process by reconstructing the control logic trigger structure on the basis of the trusted data window and introducing a multi-dimensional fault-tolerant decision chain and a reverse energy buffer control strategy, so that the triggering of emergency pressure relief action is more accurate, safe and controllable. By synchronously adjusting the driving frequency of the hydraulic pump and the opening degree of the control valve, the energy release process is changed from sudden change to gradual change, which significantly weakens the reverse torque impact and mechanical stress concentration phenomenon, prevents the hydraulic pump from reversing and the power unit structure from being damaged, not only improves the operation safety and equipment life of the hydraulic system test bench, but also makes the system have self-healing and dynamic stability ability in high-pressure transient test.

[0048] The above only describes certain exemplary embodiments of the application by way of illustration, and it is needless to say that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the application. Therefore, the above figures and description are illustrative in nature and should not be understood as limiting the scope of protection of the claims of the application.

Claims

1. A multifunctional hydraulic system experimental platform, characterized in that, It includes a time baseline synchronization control module, a phase-locked correction stabilization control module, a spurious peak identification and correction module, a multi-dimensional fault-tolerant decision control module, and a reverse energy slow release anti-reversal module; The time baseline synchronization control module establishes a unified time baseline control structure across sensors. It uses a high-stability crystal oscillator signal to generate a synchronization reference plane and uses the synchronization reference plane as a unified time reference to perform nanosecond-level phase calibration on the sampling signals of the pressure sensor and the flow sensor. This ensures that the output signals of different sensors maintain consistent sampling timing under the same time baseline, and obtains a time consistency matrix that includes the synchronization characteristics of the pressure signal and the flow signal. The phase-locked correction stabilization control module constructs an adaptive phase-locked correction network under the constraints of a unified time baseline control structure. It extracts sampling drift features using the obtained time consistency matrix, calculates the time offset trend in real time, and performs synchronous correction on the sampling sequence through a phase conjugate write-back mechanism. The false peak identification and correction module establishes a false peak discrimination model based on the output phase-locked correction signal, performs joint analysis on the gradient difference trajectory between the pressure signal and the flow signal, uses the phase coupling inversion method to identify and eliminate non-physical responses, and generates a reliable data window that contains only physically valid signals. The multi-dimensional fault-tolerant decision control module reconstructs the control logic triggering structure of the hydraulic system test bench based on the obtained reliable data window results. It embeds the multi-time window consistency test and phase connectivity verification algorithm into the control decision process to form a multi-dimensional fault-tolerant decision chain, so that the triggering of the emergency pressure relief command must simultaneously meet the composite conditions of timing consistency, amplitude continuity and energy trend stability. The reverse energy release and anti-reverse module, under the stable operation conditions of the formed multi-dimensional fault-tolerant decision chain, constructs a reverse energy release control strategy. Based on the energy gradient change law of the pressure relief trigger signal, it synchronously adjusts the hydraulic pump drive frequency and control valve opening. It uses timing feedback to realize dynamic buffering of pressure relief rate and energy absorption of reverse torque, and establishes a closed-loop anti-reverse control mechanism with self-healing characteristics.

2. The multifunctional hydraulic system test bench according to claim 1, characterized in that, The steps to establish a unified time baseline control structure across sensors include: A high-stability crystal oscillator is set as the core clock source for a unified time baseline. Its output reference signal is distributed to the data acquisition units of the pressure sensor and the flow sensor. Delay equalization design is implemented on the time reference signal transmission path to ensure that the reference signals received by each sensor are consistent in phase. After obtaining a unified time baseline, the response delay difference between the two sensors is measured by injecting calibration pulse signals of the same amplitude and frequency, and the signal distribution of the high-stability crystal oscillator is adjusted according to the calibration results to achieve the coincidence of the sampling start points; After completing the initial synchronization of sampling, the time drift within the sampling period is continuously monitored and the phase of the reference signal is adjusted according to the drift trend; The synchronously acquired pressure and flow signals are verified for time consistency using a unified time baseline, generating a time consistency matrix that reflects the phase consistency of the signals.

3. The multifunctional hydraulic system test bench according to claim 2, characterized in that, During the continuous monitoring of time drift within the sampling period and adjustment of the reference signal phase allocation, the microsecond-level phase drift trend is identified by detecting the time interval change between the pressure sensor and the flow sensor under a unified time baseline. The output signal of the high-stability crystal oscillator is then compensated in real time with a small amplitude to ensure that the time axes of the pressure signal and the flow signal remain strictly parallel throughout the entire sampling period.

4. The multifunctional hydraulic system test bench according to claim 1, characterized in that, The steps to construct an adaptive phase-locked loop correction network include: After the unified time baseline control structure is established and the timing consistency matrix is ​​obtained, the timing correspondence between pressure signals and flow signals is continuously monitored, feature information reflecting time offset is extracted, and microsecond-level offset trends are identified based on these features. After extracting the sampling drift characteristics, the time offset trend is monitored and evaluated in real time, and the time reference signal of the high-stability crystal oscillator is slightly phase-adjusted according to the offset trend to maintain the synchronous correspondence between the unified time baseline and the sensor sampling signal. After confirming the time offset trend, the phase conjugate write-back process is executed to make slight adjustments to the time position of the sampled sequence so that the pressure signal and the flow signal are realigned to the reference position of the unified time baseline. The corrected signal is remapped to the timing consistency matrix for comparison and verification, confirming that the signal is continuously stable in the time domain after phase-locked loop correction.

5. A multifunctional hydraulic system test bench according to claim 4, characterized in that, During the phase conjugate write-back process, when adjusting the time position of the sampled sequence, the time reference signal output by the high-stability crystal oscillator is used as a reference to perform synchronous micro-amplitude compensation on the sampling points of the pressure signal and the flow signal, so that the phase deviation of the corrected signal under the unified time baseline is kept within the preset tolerance range.

6. The multifunctional hydraulic system test bench according to claim 1, characterized in that, The steps to establish a spurious peak discrimination model include: After obtaining the pressure and flow signals after phase-locked correction, the temporal variation trends of the two types of signals are analyzed synchronously. A gradient differential trajectory reflecting the transient response relationship is constructed on a unified time baseline, and false peak signals are initially identified based on sudden discontinuities or reverse jumps in the trajectory. After obtaining the initial identification area, the phase relationship between the pressure signal and the flow signal is locally magnified and analyzed. By comparing the phase change direction and relative delay, the time interval and amplitude range of the false peak are confirmed. After identifying the false peak region, phase coupling inversion processing is performed. Based on the continuity of adjacent real signals, the abnormal jump parts are corrected and backfilled to keep the signal changes in a natural transition. The corrected pressure signal and flow signal are re-paired according to a unified time baseline to verify time continuity and phase consistency, generating a reliable data window that contains only physically valid signals.

7. A multifunctional hydraulic system test bench according to claim 6, characterized in that, When performing phase coupling inversion processing, the correction backfill is performed by matching the pressure change rate and flow change rate of the real signals adjacent to the time interval where the false peak is located, so as to maintain the phase correspondence between the corrected pressure signal and the flow signal under a unified time baseline.

8. The multifunctional hydraulic system test bench according to claim 1, characterized in that, The steps for reconstructing the control logic triggering structure of the hydraulic system test bench include: After obtaining a reliable data window, a time series consistency analysis is performed on the continuous data within the window. The entire acquisition cycle is divided into several continuous time windows. By comparing the pressure change trend and flow response trajectory of adjacent time windows, the true energy transfer status is identified and abnormal areas are screened out. After completing the multi-time-window consistency check, the phase connectivity within the same trusted data window is checked by comparing the phase difference and time delay between the pressure signal and the flow signal to confirm the synchronization relationship of the signals. Based on the results of multi-time window consistency and phase connectivity verification, a multi-dimensional fault-tolerant decision chain is established with time continuity, amplitude stability and energy trend consistency as criteria to make a composite trigger judgment for the pressure rise process. Under the condition that the decision chain is operating stably, the dynamic reconstruction of the control logic is completed, so that the triggering of the emergency pressure relief command must meet three conditions at the same time.

9. A multifunctional hydraulic system test bench according to claim 8, characterized in that, In the process of establishing a multi-dimensional fault-tolerant decision chain, a threshold is set for the rate of change of the phase difference between the pressure signal and the flow signal. When the phase difference in adjacent time windows exceeds the preset range, the pressure relief trigger is automatically delayed, and the energy trend is checked twice to ensure that the pressure relief trigger is executed only when both phase connectivity and energy stability are satisfied.

10. A multifunctional hydraulic system test bench according to claim 8, characterized in that, The steps to construct a reverse energy release control strategy include: After the multi-dimensional fault-tolerant decision chain confirms that the pressure relief triggering condition is met, the energy gradient change curve corresponding to the pressure relief triggering signal is obtained, the energy changes before and after pressure relief are compared, the time gradient characteristics of energy release are determined, and when the rate of change exceeds the preset threshold, the energy slow release control stage is entered. After obtaining the energy gradient change law, the hydraulic pump drive frequency is adjusted in real time to keep its output power and pressure relief rate dynamically matched. Energy balance and pressure stability are achieved by reducing or increasing the drive frequency. While adjusting the hydraulic pump drive frequency, the opening of the control valve is synchronously coordinated. The valve opening is adjusted by monitoring the trend of the slope change of the energy gradient curve, so that the energy release process changes from a sudden drop to a slow release. After the hydraulic pump drive frequency and control valve opening are synchronized, closed-loop energy feedback is performed. When the energy release is detected to be in equilibrium or a reverse sign is detected, a secondary slow release operation is performed.

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