A displacement sensor signal correction method for a lateral displacement unlocking coupling system

Abstract

The application discloses a displacement sensor signal correction method of a transverse displacement unlocking coupling system, and particularly relates to the technical field of signal correction; original displacement signal sequences of the coupling system in different states are acquired; a reference displacement model based on structural gaps, friction coefficients and micro-motion characteristics is constructed; the deviation of the original signal and the reference model is calculated, and a correction coefficient is extracted; a dynamic correction function combining historical deviation and change rate is established; the initial and running stage signals are segmented and corrected by using the correction coefficient and the dynamic function, so that a corrected displacement signal sequence is obtained; the corrected signal is input into a coupling system control module, the coupling state and the transverse displacement degree are identified, and dynamic feedback regulation is completed; the application improves the accuracy and stability of the displacement signal, realizes intelligent coupling of signal correction and structure control, and is suitable for high-precision displacement monitoring and control systems in various complex structure projects.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of signal correction, in particular to a displacement sensor signal correction method for a transverse displacement unlocking coupling system. BACKGROUND

[0002] In large-scale structural engineering, bridge engineering and equipment connecting parts, transverse displacement coupling structures are often used to relieve the relative displacement between structures and improve the stability of system operation. In order to realize accurate monitoring of the transverse displacement in the coupling system, displacement sensors are usually installed to obtain displacement data in real time during the operation of the structure. However, due to the installation position, coupling gap changes, temperature drift, structural deformation and other external interference factors, the displacement signals collected by the sensor often have deviations, which are difficult to truly reflect the actual transverse displacement process, thereby affecting the reliability and response accuracy of the control strategy of the coupling system. Especially when the coupling system is in an unlocked or initial sliding state, the sensor is easily disturbed by local micro-motion or no-load response, resulting in abnormal fluctuation of the displacement response signal. The existing technology often uses static calibration or simple filtering algorithm for correction, which is difficult to meet the high-precision correction requirements under dynamic operation state. SUMMARY

[0003] The purpose of the present application is to provide a displacement sensor signal correction method for a transverse displacement unlocking coupling system to solve the problems in the background art.

[0004] In order to achieve the above purpose, the present application provides the following technical scheme: a displacement sensor signal correction method for a transverse displacement unlocking coupling system, comprising:

[0005] Obtaining the original displacement signal sequence of the displacement sensor under different working states of the coupling system, including the initial displacement signal under the unlocked state and the continuous displacement signal under the running state;

[0006] Constructing a reference displacement model for the unlocking stage, the reference displacement model is based on the structure gap, friction coefficient and micro-motion characteristics of the coupling mechanism in the initial stage to determine the theoretical expected displacement response;

[0007] According to the deviation between the theoretical expected displacement response and the initial displacement signal, a correction coefficient is determined to correct the initial signal error;

[0008] Establishing a dynamic correction function under the running state, and using the correction coefficient and the dynamic correction function to correct the original displacement signal sequence to obtain the corrected displacement signal sequence;

[0009] Inputting the corrected displacement signal sequence into the coupling system control module to judge the coupling state and the transverse displacement degree, and completing the dynamic feedback regulation.

[0010] Preferably, the original displacement signal sequence of the coupling system in different working states includes:

[0011] The output signal of the displacement sensor installed in the coupling system is continuously collected in a preset time window to form an original signal time sequence Draw, and the control state identification information of the coupling system is recorded synchronously;

[0012] According to the control state identification of the coupling system, the Draw is processed by state segmentation, and the signal segment corresponding to the unlocking stage is extracted as the initial displacement signal , and the signal segment of the running stage is extracted as the continuous displacement signal , n is the total number of displacement signals;

[0013] The and are respectively subjected to outlier rejection and noise filtering processing to obtain the original displacement signal sequence D.

[0014] Preferably, the reference displacement model of the unlocking stage includes:

[0015] The structural boundary parameters of the coupling mechanism in the initial unlocking stage are obtained, including the structural gap value, the contact surface pre-tightening force and the contact stiffness;

[0016] According to the structural boundary parameters, the nonlinear response relationship describing the initial stage of contact slip is established in combination with the friction coefficient and the micro-motion response curve;

[0017] The nonlinear response relationship is converted into a time-domain displacement expression to form a theoretical expected displacement response curve as the reference displacement model of the unlocking stage, and as the basis for correcting the initial displacement signal.

[0018] Preferably, the correction coefficient is determined for correcting the initial signal error:

[0019] The initial displacement signal is aligned and compared with the theoretical expected displacement response in the reference displacement model, the discrete point difference sequence of the initial displacement signal in the entire unlocking time period is calculated, and a deviation data set ΔD is formed;

[0020] The deviation data set ΔD is subjected to statistical analysis, and the main offset characteristic value representing the initial signal error is extracted;

[0021] Based on the main offset characteristic value, the correction coefficient is constructed by combining the sensitivity coefficient of the sensor and the response weight of the reference displacement model, for adjusting the initial displacement signal.

[0022] Preferably, a dynamic correction function in the running state is established, including:

[0023] The continuous displacement signal sequence a time derivative of the displacement signal, constructs a displacement change rate curve, and identifies response characteristics of the coupling system in different dynamic stages of sliding, rebounding, and buffering.

[0024] Preferably, the original displacement signal sequence is corrected using the correction coefficient and the dynamic correction function to obtain a corrected displacement signal sequence.

[0025] The original displacement signal sequence is divided into an initial stage and a running stage according to the control state information of the coupling system, and the correction coefficient and the dynamic correction function are respectively applied as correction bases.

[0026] The displacement signal of the initial stage is corrected as a whole by the correction coefficient, and the displacement signal of the running stage is compensated dynamically point by point by calling the dynamic correction function f(t) according to the time step to generate a correction increment sequence.

[0027] The correction increment is superimposed on the original displacement signal to form a corrected displacement signal sequence.

[0028] Preferably, the corrected displacement signal sequence is input to a coupling system control module.

[0029] The corrected displacement signal sequence is input to the control module, and the current coupling mechanism is identified to be in an unlocked, sliding, buffering, or stable state through signal trend analysis and multi-level threshold judgment.

[0030] According to the identified coupling state, the lateral coupling degree is determined and control instruction parameters are generated in combination with the lateral displacement amplitude, speed, and change trend in the correction signal.

[0031] Based on the control instruction parameters, the coupling system is driven in real time to perform corresponding adjustment operations, including structure pre-tightening force adjustment, displacement tolerance compensation, or coupling state locking.

[0032] In the above technical solution, the present application provides technical effects and advantages:

[0033] 1. The present application realizes accurate correction of the original displacement signal in the whole process and multiple stages in the lateral displacement unlocking coupling system by constructing a reference displacement model in the unlocking stage, extracting a deviation correction coefficient, establishing a dynamic correction function in the running state, and combining sensor sensitivity and structure response characteristics. This method effectively overcomes the problems of insufficient recognition ability, correction lag, or error residue of traditional static calibration and single filtering methods under complex working conditions, and significantly improves the authenticity and stability of displacement data.

[0034] 2、The application introduces the corrected displacement signal into the coupling system control module, realizes intelligent response and closed-loop regulation of the dynamic behavior of the coupling structure through state recognition, displacement trend judgment and feedback control. The technology not only improves the safety, reliability and regulation accuracy of the system operation, but also has good adaptability and scalability, and is suitable for bridge, equipment connection, rail transportation and other engineering scenes with strict requirements for high-precision transverse displacement control. BRIEF DESCRIPTION OF DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0036] Figure 1 The method flowchart of the present application. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0038] Embodiment, please refer to Figure 1 The displacement sensor signal correction method of the transverse displacement unlocking coupling system described in the present embodiment includes:

[0039] The original displacement signal sequence of the displacement sensor under different working states of the coupling system is obtained, including the initial displacement signal under the unlocking state and the continuous displacement signal under the running state;

[0040] A reference displacement model of the unlocking stage is constructed, which is based on the structure gap, friction coefficient and micro-motion characteristics of the coupling mechanism in the initial stage to determine the theoretical expected displacement response;

[0041] According to the deviation between the theoretical expected displacement response and the initial displacement signal, a correction coefficient is determined for correcting the initial signal error;

[0042] A dynamic correction function under the running state is established, and the original displacement signal sequence is corrected by using the correction coefficient and the dynamic correction function to obtain the corrected displacement signal sequence;

[0043] The corrected displacement signal sequence is input to a coupling system control module to determine the coupling state and the lateral displacement degree, and to complete dynamic feedback regulation.

[0044] To better achieve the goal of accurately correcting the displacement sensor signal of the lateral displacement unlocking coupling system in the application, the original displacement signal sequence needs to be obtained with high quality first.

[0045] First, the displacement signal data output by the displacement sensor installed in the coupling system is continuously collected within a preset time window. The preset time window can be flexibly set according to the actual engineering application scene, and is usually a complete coupling cycle including the unlocking stage and the running stage. The displacement sensor installed in the system should have high enough sampling accuracy and time resolution to ensure the integrity and continuity of the signal. In the collection process, the current control state identification information of the coupling system is recorded at the same time as a synchronous reference for the signal data. The control state identification information can be provided by the system controller or by the state sensing unit, indicating that the current coupling mechanism is in the unlocking stage, the rigid contact stage or the sliding running stage, etc.

[0046] Through this step, a complete original signal time sequence is formed, denoted as "Draw". The signal sequence not only contains the original displacement values collected by the sensor continuously, but also corresponds to the synchronously recorded control state information, thereby providing a basis for subsequent state recognition and data classification processing.

[0047] Secondly, according to the control state identification information of the coupling system, the original signal time sequence Draw is subjected to state segmentation processing. Specifically, according to the change trend and boundary conditions of the control state, the Draw signal sequence is logically divided according to the time axis. The signal segment in the unlocking state stage is extracted as "initial displacement signal", denoted as "Draw "; the continuous displacement signal segments in the running state stage are extracted as "Draw " to "Draw ", wherein "n" is the total number of displacement signal segments in the running state. The unlocking state refers to the pre-tightening or micro-motion stage in which the coupling mechanism does not produce actual structural contact or force transmission, and the displacement signal in this stage reflects the initial response characteristics of the sensor and the system looseness, which has important reference significance. The running state includes the dynamic process of actual displacement, contact, coupling or sliding of the structure, and its signal is more complex and changes more frequently.

[0048] In actual implementation, the control state identification information can be encoded as a logical flag bit, for example: "0" represents the unlocking state, and "1" represents the running state. In the signal segmentation processing, the system extracts the signal segments in the corresponding state segment according to the time index, thereby generating the corresponding and Data structure, complete the preliminary state-aware segmentation.

[0049] Again, the extracted With Signal segment respectively signal pretreatment operation, to eliminate due to the sensor itself noise, system disturbance or data acquisition error and other reasons introduced abnormal points and high frequency interference. Pretreatment includes two parts:

[0050] Using sliding window analysis method or statistical threshold decision method to identify and remove mutation value, outlier in signal sequence. Specifically, for each signal sequence, calculate its local moving average and standard deviation, and set the fluctuation amplitude threshold; If the amplitude of a point changes more than the threshold, it is considered as an abnormal value to be replaced or deleted.

[0051] Low-pass filter, weighted moving average or median filter method is used to smooth the high frequency components in the signal sequence, so as to obtain more representative and stable displacement data. The filtering parameter can be adaptively adjusted according to the sampling frequency and system response frequency to realize the optimal signal fidelity.

[0052] Through the above pretreatment steps, the signal fluctuation caused by environmental noise, sampling error and transient interference can be effectively suppressed, and the signal-to-noise ratio of the original data is improved, which provides reliable data basis for subsequent displacement correction and model fitting.

[0053] After processing, the initial displacement signal And the continuous displacement signal under the running state To Be unified as "original displacement signal sequence D", the signal sequence has clear working condition state label, high signal quality and stability, which can be directly input into the subsequent correction model for model fitting and displacement error compensation.

[0054] In order to accurately describe the nonlinear micro-motion behavior of the coupling system in the unlocking stage, and provide theoretical support for subsequent sensor signal correction, the present application proposes a reference displacement model construction method based on structural gap, friction characteristics and micro-motion response.

[0055] Before the coupling structure starts to enter the working state, the internal contact or movement has not been formed, and the system is in a micro-gap free state or pre-tightening static state. In order to describe the potential response characteristics of the structure in this state, the structural boundary parameters of the coupling mechanism need to be collected first. Specifically, it includes the following three:

[0056] Structural gap value: refers to the original non-contact distance between two coupled contact bodies, which can be measured by structural design data or laser ranging method. The gap determines the initial sensitivity of the system response.

[0057] Pre-tightening force of contact surface: In structural design, some coupling mechanisms may be pre-loaded with a small amount of clamping force by components such as springs, bolts or pressure plates, which is used to constrain early micro-motion. This pre-tightening force affects the stress threshold in the initial stage of micro-motion, which needs to be obtained through load testing or manufacturing parameters.

[0058] Contact stiffness: Reflects the elastic response capability of the contact interface in the initial stage of stress, which can usually be modeled by Hertz contact theory, or the stiffness characteristics of local contact surface elements can be extracted through finite element simulation, with the numerical unit being the ratio of force to displacement.

[0059] The above three boundary parameters constitute a basic description of the structural characteristics in the unlocking stage, which can define the initial mechanical state of the coupling system.

[0060] After the disappearance of the structural gap, the coupling mechanism will undergo a micro-motion sliding process. This process has typical nonlinear friction hysteresis characteristics and cannot be simply described by an ideal spring model. Therefore, based on the structural boundary parameters obtained in the first step, the invention further introduces friction factors and micro-motion response behavior to construct a nonlinear response relationship in the unlocking stage.

[0061] This nonlinear response model mainly considers the following factors:

[0062] Friction coefficient: Reflects the relative sliding resistance between the contact surfaces, which can be selected according to the material pair (such as metal-metal, metal-rubber) through table lookup, experiment or specification, including static friction coefficient and dynamic friction coefficient.

[0063] Micro-motion response curve: The force-displacement relationship in the micro-motion stage often presents an "S" shaped hysteresis characteristic, with multiple stages such as the initial static friction hysteresis section, the sliding transition section and the stable section. The displacement response model can be established using mathematical expressions such as hyperbolic tangent function, exponential decay function or piecewise power function.

[0064] For example, a typical nonlinear response relationship can be represented as: the micro-motion response force is equal to the upper limit of friction multiplied by a nonlinear function that changes with time or displacement, where the function is exponentially increasing at the beginning and gradually stabilizing, simulating the sliding contact process.

[0065] Loading path dependence: Micro-motion response usually has hysteresis, that is, the response not only depends on the current load value, but also is affected by the historical loading path. The invention can introduce a memory factor or incremental superposition method to guide the model to have loading path recognition ability.

[0066] Through the above modeling method, the invention constructs a nonlinear force-displacement response function that can represent the whole process from micro-motion triggering to sliding transition in the unlocking state of the structure, and truly reflects the nonlinear coupling characteristics between the initial structure contact behavior and the sensor response.

[0067] To enable subsequent comparison and correction with the actual acquired sensor signals, the established nonlinear response relationship needs to be transformed into a time-domain displacement expression that can be analyzed and quantified. This invention maps the nonlinear force-displacement relationship onto the time axis by introducing an initial loading rate, a friction critical threshold, and contact stiffness boundary conditions.

[0068] The specific steps include:

[0069] Set an initial loading time range, and discretize the response process into several time steps according to the sampling frequency;

[0070] Within each time step, the current displacement increment is calculated based on the current loading rate and the response state at the previous moment, and the complete response curve is formed by iterative process.

[0071] The displacement-time series is constructed into a theoretically expected displacement response curve, which serves as the reference response model for the unlocking phase and is denoted as the "reference displacement curve".

[0072] To achieve accurate correction of the displacement sensor output signal in the unlocked state, this invention establishes a deviation dataset by comparing and analyzing the original displacement signal output by the sensor in the initial stage with the theoretically expected displacement response, and then determines a dynamic correction coefficient based on this dataset to correct systematic errors and improve the authenticity and reliability of the displacement signal.

[0073] First, the initial displacement signal (hereinafter referred to as "initial signal", denoted as "initial signal") collected during the unlocking phase will be used as the initial signal. The theoretical expected displacement response curve in the aforementioned constructed reference displacement model (hereinafter referred to as "reference response", denoted as...) Time-domain alignment is performed. The alignment process can be synchronized based on the system control timestamp or sampling time sequence to ensure that the two sets of signals are compared within the same time interval.

[0074] After alignment, using the time series as a reference, the values ​​of the initial signal and the reference response at each discrete sampling point are subtracted point by point to obtain the instantaneous deviation value at each time point. The deviation values ​​of all sampling points are arranged in chronological order to form a complete deviation dataset, denoted as ΔD.

[0075] The deviation dataset ΔD reflects the error distribution between the original signal and the theoretical response throughout the unlocking process. Its magnitude and distribution trend reveal the systematic drift, zero-point offset, or error characteristics of the sensor output caused by environmental disturbances.

[0076] For example, if the reference response is 5 mm at a certain time and the initial signal is 4.6 mm, the deviation at that time is -0.4 mm. By this point-by-point difference method, a set of error signal sequences with actual engineering significance can be formed to provide basic data for subsequent statistical analysis.

[0077] After obtaining the complete deviation data set AD, the present application further performs statistical analysis thereon, aiming to identify and extract the key value representing systematic error: the main offset characteristic value. This value will serve as the core basis for constructing the correction coefficient.

[0078] The specific analysis method is as follows:

[0079] First, the mean value operation is performed on the deviation data set AD to obtain the average level of the deviation during the entire unlocking stage, denoted as μAD. This mean value is used to represent the central tendency of the overall deviation and is suitable for judging systematic drift or zero-point offset.

[0080] Further, the standard deviation σAD of AD is calculated to evaluate the dispersion degree of the deviation, so as to identify whether there is non-systematic interference such as high-frequency noise and short-time disturbance. If the standard deviation is significantly smaller, it means that the deviation is relatively stable, and a static correction coefficient is suitable; if the standard deviation is larger, segmented modeling or sliding window dynamic correction can be considered.

[0081] First-order or second-order polynomial trend fitting is performed on AD to analyze the trend of the deviation with time. If the fitting curve is close to a horizontal straight line, it means that the deviation is relatively stable; if it presents a monotonic change trend, there may be problems such as initial signal response delay or reference model overestimation, and a time decay term or slope adjustment factor needs to be introduced in the correction coefficient.

[0082] Through the above statistical process, a main offset characteristic value can be finally extracted, which is usually selected as the deviation mean value μAD, and can be supplemented by a trend factor or weight correction term to guide the determination of the correction coefficient.

[0083] After obtaining the main offset characteristic value, in order to effectively apply the error to the initial signal correction process, the present application introduces a correction coefficient α for linear or nonlinear compensation of the initial signal .

[0084] When constructing the correction coefficient α, in addition to directly using the main offset characteristic value, the following two important factors are also considered:

[0085] Sensor sensitivity coefficient S: represents the response ability of the sensor to the actual displacement change, with the unit of output signal change amount to actual displacement change amount. If the sensor has insufficient sensitivity or over-amplification, directly using the offset value for correction may lead to over-compensation or under-compensation, therefore the main offset value needs to be normalized by the sensitivity factor.

[0086] The weight coefficient W of the reference response: considering the accuracy and applicability of the reference model itself, a weight factor W (usually ranging from 0 to 1) can be introduced to adjust the correction amplitude. For example, for a reference model obtained by high-precision simulation or actual measurement fitting, the W value can be set close to 1; if the model is an approximate empirical model, the W value can be appropriately reduced.

[0087] The final correction coefficient a can be expressed as: The correction coefficient is applied to the initial displacement signal , and the corrected signal can be obtained by weighted superposition, and the expression is: The correction process can be directly performed in a linear system, or dynamic compensation can be combined with time variables when there are dynamic change trends.

[0088] After the coupling mechanism enters the actual running stage, the system continuously collects the continuous signal sequence output by the displacement sensor, denoted as to , where n is the total number of signals, and the sampling frequency is set synchronously with the control system.

[0089] In order to reveal the motion state change law of the coupling system in the running process, the present application performs time derivative operation on the continuous signal, that is, difference calculation is performed on the displacement values at adjacent two time sampling points, so as to obtain the instantaneous displacement change rate. Assuming that the displacement values of the sensor at each time point are and , and the sampling interval is Δt, then the change rate can be expressed as: ; arranging the change rates of all sampling points in time sequence, a continuous displacement change rate curve V(t) can be formed.

[0090] The curve reflects the dynamic response characteristics of the system at each stage, wherein:

[0091] When the change rate is continuously positive and large, it usually corresponds to the acceleration stage of sliding;

[0092] When the change rate rapidly decreases or even turns negative, structure rebound or reverse sliding may occur;

[0093] When the change rate tends to zero or oscillation decreases, it may enter the buffering or stable stage.

[0094] By analyzing the shape and fluctuation mode of the change rate curve, the preliminary identification of the dynamic state of the system can be realized, and the basis for the subsequent correction strategy is provided.

[0095] On the basis of identifying the current running stage of the structure, the application further fuses the historical deviation trend data and the current change rate information to construct a correction function f(t) which can dynamically change with time.

[0096] Firstly, the historical deviation trend data is derived from the correction residual of the previous stage, that is, the difference sequence between the theoretical reference displacement response and the actual sensor signal recorded by the system in the initial unlocking stage and the early running stage. The trend data can be extracted by methods such as moving average or exponential weighted moving average (EWMA), representing the error evolution characteristics of the system in different time segments.

[0097] Secondly, at the current time, the known displacement change rate v(t) of the system as a dynamic factor reflecting the real-time motion characteristics can be used to adjust the sensitivity of the correction function to the response of different stages.

[0098] To realize dynamic adaptive correction, the application introduces a weighted time window method. This method superimposes the historical deviation trend in the recent period and the current change rate by weighting, thereby constructing the correction function f(t). The basic expression is: ; wherein: represents the weighted average value of the historical deviation centered on the current time; represents the displacement change rate at the current time; and are weight coefficients set empirically, satisfying the sum of 1, which can be adjusted according to the sensitivity of different coupling mechanisms.

[0099] To realize accurate correction of the displacement sensor output signal of the coupling system, after obtaining the correction coefficient and establishing the dynamic correction function, it is necessary to effectively combine the two and apply them to the original displacement signal sequence to complete the error compensation.

[0100] In actual application, the running process of the coupling system can be divided into at least two typical stages: the initial unlocking stage and the normal running stage. Since the structure behavior, signal characteristics and error sources in these two stages are significantly different, the correction methods also need to be distinguished.

[0101] The application logically divides the original displacement signal sequence D by calling the control state identification information recorded in the system control module, forming two sub-sequences:

[0102] Initial stage signal sequence : corresponding to the sensor response when the structure is in the unlocking, relaxation or no effective contact state;

[0103] Running stage signal sequence : corresponding to the response in the dynamic motion process of the structure entering coupling contact, sliding, buffering, etc.

[0104] The control state information can include a time stamp, a state flag bit (such as "unlocking", "coupling", "motion") or an event trigger signal recorded by the controller, and the signal sequence is accurately divided in the time axis by the state machine logic, ensuring that the subsequent correction strategy matches the state.

[0105] After completing the signal stage division, the corresponding correction method is applied to the signal of different stages respectively:

[0106] Initial stage signal correction (static offset compensation)

[0107] For the initial stage signal sequence , the correction coefficient α calculated in the foregoing is called to perform overall static offset correction. The correction process is: This overall translation correction is suitable for the initial stage where the deviation source is stable and mainly affected by structural looseness or zero point drift, and can effectively remove systematic errors.

[0108] For the running stage signal sequence to , a dynamic correction function f(t) is used for point-by-point compensation. f(t) is a time-dependent function, and its value changes dynamically with the structure state, displacement rate and historical deviation trend. It has been determined in the modeling stage in the foregoing.

[0109] Let the original displacement value of the i-th time point in the running stage signal be , and the corresponding dynamic correction function value be , then the correction increment of this point is: ; all time points are calculated in turn to obtain a correction increment sequence with the same length as .

[0110] This point-by-point correction based on a dynamic function has good time-varying and adaptive ability, and can accurately compensate for nonlinear errors caused by structural slip speed, loading state or environmental disturbance.

[0111] After obtaining the initial stage correction result and the running stage correction increment sequence , the present application adds the correction increment to the original signal sequence to obtain the corrected running stage signal sequence .

[0112] Specifically expressed as: (wherein i ∈ [1, n]);

[0113] At this point, the correction signals of the two stages are processed and updated respectively, and finally and Merge to form a complete modified displacement signal sequence D': .

[0114] To ensure the physical reasonableness and engineering safety of the correction result, the present application also introduces an amplitude limiting control mechanism in the correction superposition stage, sets a maximum correction amplitude threshold Δ_max, and avoids the correction from exceeding the actual displacement boundary of the structure due to misidentification or extreme errors. The correction increment satisfies the following constraint: if , then ; wherein represents the positive and negative signs of . This amplitude limiting control not only enhances the anti-interference ability of the system, but also improves the safety fault tolerance in actual deployment.

[0115] In coupled systems, displacement sensor signals are not only used for data monitoring and structure analysis, but more importantly, they provide accurate state identification basis and control decision support for the control system. After a series of error correction processing proposed by the present application, the modified displacement signal sequence obtained has high accuracy and good dynamic stability, and can be used as a reliable input source for the coupled system control module.

[0116] In order to realize intelligent adjustment and real-time feedback control of structure operation, the present application inputs the modified displacement signal sequence into the coupled system control module, further develops signal state analysis, coupling degree identification and control instruction generation, and finally drives the actual coupled execution structure to realize adaptive regulation and control.

[0117] After inputting the modified displacement signal sequence (denoted as D') into the control module, first, through trend analysis and hierarchical judgment logic, the current running state of the coupled mechanism is identified. The coupling state usually includes but is not limited to the following four typical types:

[0118] Unlock state: the structure has not been contacted or has just started, and the displacement signal changes weakly;

[0119] Sliding state: the structure slides relatively, and the displacement shows a monotonic rapid increase or decrease;

[0120] Buffer state: after sliding, a micro-oscillation is generated, and the displacement shows a periodic micro-amplitude fluctuation;

[0121] Stable state: the structure enters complete coupling, and the displacement signal tends to be stable.

[0122] In order to accurately determine these states, the present application adopts two types of analysis methods:

[0123] Trend analysis: by calculating the first derivative (i.e. displacement change rate) and the second derivative (i.e. change rate of change rate) of the signal, the change direction and acceleration characteristics of the signal are judged. For example:

[0124] Displacement change rate close to zero and changes slowly: may be stable state;

[0125] Displacement change rate is large, and continuous growth or decrease: may be slip state;

[0126] Displacement change rate oscillates periodically between positive and negative: may be buffer state.

[0127] Multi-level threshold judgment: set different threshold intervals corresponding to different states, including:

[0128] Low amplitude threshold (used to identify the unlocking state);

[0129] High rate threshold (used to determine the slip state);

[0130] Joint threshold of fluctuation amplitude and frequency (used to identify the buffer state);

[0131] Stable state deviation threshold (used to determine the stable state).

[0132] The set threshold can be calibrated by structural design data, historical monitoring data or simulation model. The control module analyzes the change trend of the modified signal D' in real time, and matches it with the preset threshold, outputs the state recognition result S(t), as the input condition of the subsequent control logic.

[0133] After completing the coupling state recognition, the control module will further evaluate the current lateral motion intensity and coupling tightness of the coupling structure based on the lateral displacement amplitude, change speed and change trend in the modified signal D'.

[0134] The evaluation process includes the following three dimensions:

[0135] Amplitude analysis: extract the maximum displacement value at the current time and in the past period of time, and judge whether the structure exceeds the design allowable range. For example, if the current lateral displacement exceeds the preset maximum tolerance Δ_max, it is determined that the structure is in a strong coupling or abnormal slip state.

[0136] Speed analysis: combine the first derivative to calculate the displacement change rate V(t), and judge the dynamic activity degree of the coupling motion. If the speed continues to rise, it may be in an unstable slip stage; if the speed tends to zero and the fluctuation is small, it may be in a stable locking stage.

[0137] Trend analysis: use regression or trend fitting method to analyze the future prediction direction of the displacement signal, which is used to predict in advance whether the coupling structure tends to be unstable or rebound.

[0138] Based on the above analysis results, the control module generates a corresponding control instruction parameter set P(t), which includes:

[0139] Current coupling state identification (such as: in slip, in lock);

[0140] lateral displacement correction amount;

[0141] adjusting the recommended pre-tightening force;

[0142] whether to trigger tolerance compensation;

[0143] whether the coupling state needs to be locked or unlocked, etc.

[0144] The control parameter set is an important input basis for the subsequent control execution unit.

[0145] Finally, the control module drives the coupling system to perform corresponding adjustment operations according to the control instruction parameter set P(t), and completes the closed-loop control.

[0146] The control actions include but are not limited to the following typical operation forms:

[0147] Structure pre-tightening force adjustment: when the coupling state is determined to be too loose or too tight, automatically control the pre-tightening device (such as a spiral spring, a pneumatic / hydraulic device, etc.) to apply or release the pre-tightening force, to adjust the structure contact stiffness and improve the coupling stability.

[0148] Displacement tolerance compensation: when the lateral displacement exceeds the dynamic tolerance range set by the system, the system adjusts and compensates through controllable limiting mechanisms, flexible connectors or guide rail offset control means, to prevent structural instability or mechanical interference.

[0149] Coupling state locking and unlocking: when the structural stability state recognition is established, the control module can trigger the mechanical locking mechanism to lock; when the sliding trend is detected to be enhanced, the locking can be released to enter the free running mode, to improve the structural flexibility.

[0150] The above operations are automatically completed on the basis of real-time monitoring and analysis of the displacement signal by the control module, forming a complete closed-loop logic, which greatly improves the system response capability and intelligent level.

[0151] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application.

Claims

1. A method of modifying a displacement sensor signal of a lateral displacement unlocking coupling system, characterized by: include: Acquire the original displacement signal sequence of the displacement sensor under different working states of the coupling system, including the initial displacement signal in the unlocked state and the continuous displacement signal in the running state; A reference displacement model for the unlocking phase is constructed. The reference displacement model is based on the structural gap, friction coefficient and fretting characteristics of the coupling mechanism in the initial stage to determine the theoretical expected displacement response. The construction of the reference displacement model for the unlocking stage includes: obtaining the structural boundary parameters of the coupling mechanism in the initial unlocking stage, including the structural gap value, the preload of the contact surface, and the contact stiffness; based on the structural boundary parameters, combined with the friction coefficient and the fretting response curve, establishing a nonlinear response relationship describing the initial stage of contact slippage; converting the nonlinear response relationship into a time-domain displacement expression to form a theoretically expected displacement response curve, which serves as the reference displacement model for the unlocking stage and as a benchmark for correcting the initial displacement signal; Based on the deviation between the theoretically expected displacement response and the initial displacement signal, a correction coefficient is determined to correct the initial signal error. A dynamic correction function is established under running conditions, and the original displacement signal sequence is corrected using the correction coefficient and the dynamic correction function to obtain the corrected displacement signal sequence. Establish a dynamic correction function under operating conditions, including: acquiring a continuous displacement signal sequence under operating conditions. The time derivative is used to construct the displacement change rate curve and identify the response characteristics of the coupled system in different dynamic stages of slip, rebound and buffering; combined with historical deviation trend data and the current displacement change rate, a dynamic correction function f(t) is constructed using the weighted time window method. The corrected displacement signal sequence is input to the coupling system control module to determine the coupling state and the degree of lateral displacement, thereby completing dynamic feedback control.

2. The displacement sensor signal correction method for a lateral displacement unlocking coupling system according to claim 1, characterized in that: The acquisition of the original displacement signal sequence of the displacement sensor under different operating states of the coupling system includes: The output signals of the displacement sensors installed in the coupling system are continuously acquired within a preset time window to form the original signal time series Draw, and the control status identification information of the coupling system is recorded simultaneously. Based on the control state identifiers of the coupled system, the Draw is segmented into states, and the signal segment corresponding to the unlocking phase is extracted as the initial displacement signal. The signal segments during the operation phase are extracted into continuous displacement signals. where n is the total number of displacement signals; right and The original displacement signal sequence D is obtained by performing outlier removal and noise filtering respectively.

3. The method for correcting displacement sensor signals in a lateral displacement unlocking coupling system according to claim 1, characterized in that: Determine the correction coefficients to correct for initial signal errors: Align and compare the initial displacement signal with the theoretical expected displacement response in the reference displacement model, calculate the discrete point difference sequence over the entire unlocking time period, and form the deviation dataset ΔD. Statistical analysis was performed on the deviation dataset ΔD to extract the main offset feature value representing the initial signal error; Based on the main offset feature value, and combined with the sensor's sensitivity coefficient and the response weight of the reference displacement model, a correction coefficient is constructed to adjust the initial displacement signal.

4. The method for correcting displacement sensor signals in a lateral displacement unlocking coupling system according to claim 1, characterized in that: The original displacement signal sequence is corrected using the aforementioned correction coefficients and dynamic correction function to obtain the corrected displacement signal sequence: The original displacement signal sequence is divided into an initial stage and an operating stage according to the control state information of the coupled system, and correction coefficients and dynamic correction functions are applied as correction basis respectively. The displacement signal in the initial stage is corrected by applying a correction coefficient to perform overall offset correction. The displacement signal in the running stage is then corrected by calling the dynamic correction function f(t) according to the time step to perform point-by-point dynamic compensation and generate a correction increment sequence. The correction increment is superimposed on the original displacement signal to form the corrected displacement signal sequence.

5. The method for correcting displacement sensor signals in a lateral displacement unlocking coupling system according to claim 4, characterized in that: The corrected displacement signal sequence is input to the coupled system control module: The corrected displacement signal sequence is input into the control module, and through signal trend analysis and multi-level threshold judgment, the current coupling mechanism is identified as being in an unlocked, sliding, buffered, or stable state. Based on the identified coupling state, combined with the lateral displacement amplitude, velocity and trend of change in the correction signal, the degree of lateral coupling is determined and control command parameters are generated. Based on the control command parameters, the driving coupling system performs corresponding adjustment operations in real time, including structural preload adjustment, displacement tolerance compensation, or coupling state locking.

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