820 results about "Structural vibration" patented technology

The invention provides a high-precision five-axis rotary table cooperative control method and system based on multi-closed-loop feedback, and the method comprises the steps: obtaining a real-time acceleration signal of a five-axis rotary table, carrying out the spectrum analysis of the acceleration signal, determining a current resonant frequency drift range and a main frequency component, and carrying out the frequency spectrum analysis; dynamically simulating the turntable structure by adopting a pre-established finite element model, and predicting the vibration mode change trend of the structure by comparing the deviation between the modal frequency obtained by simulation and the actually measured signal spectrum; according to the vibration mode change trend, matching similar vibration mode modes from a pre-established rotary table vibration mode database, obtaining corresponding vibration energy transmission path distribution, and determining an energy transmission abnormal region by analyzing the distribution of energy on each transmission path to obtain vibration energy transmission characteristics; according to an optimized motion instruction of a five-axis turntable, the dynamic response of the turntable is estimated, vibration frequency domain characteristics are extracted, and frequency domain compensation parameters are generated in combination with a preset frequency domain error matrix.

The invention relates to the technical field of high-pressure dredge pump simulation calculation, and discloses a construction and application method of a high-pressure efficient dredge pump simulation calculation model. A model is established based on dynamic fluid-solid coupling parameters (mud pulsating pressure, impeller dynamic stress and the like), soil multiphase rheological parameters (particle phase volume fraction, viscous resistance coefficient and the like) and pipeline transient resistance parameters (transient pressure drop gradient and the like), and factors such as rotating speed-power matching and the like are incorporated to calculate an operation envelope and a critical failure threshold. A multi-physics field coupling analysis system comprising parameter configuration, dynamic simulation (integrating a flow field and a structural vibration solver) and a safety evaluation module is developed, after actually measured data and self-defined parameters are input, dynamic flow velocity distribution, pressure pulsation characteristics and the like are obtained through fluid-solid bidirectional coupling calculation, and an optimal configuration scheme is generated. The system supports database management, multi-rheological model matching and three-dimensional visualization, the simulation precision and the engineering efficiency are improved, and support is provided for performance optimization and safety evaluation of the high-pressure working condition.

The present invention relates to the technical field of mechanical property testing and characterization. Disclosed are a method and apparatus for calculating a crack propagation life of an engine structure in vibration fatigue, which method and apparatus aim to obtain reliable fracture mechanics parameters and a crack propagation rate curve and provide an accurately quantified crack propagation life, so as to provide methodological guidance for the life assessment of reusable engines. The calculation method comprises: acquiring a time-domain random stress spectrum of stress responses in an assessment section in a finite element model of an engine structure; on the basis of the time-domain random stress spectrum, performing finite element analysis processing on a crack model of the engine structure, so as to determine fracture mechanics parameters of a cracked structure; performing a vibration fatigue performance test on a crack propagation rate model, which is set up according to a preset crack propagation mode, and determining, by using parameter identification, a target parameter value corresponding to the crack propagation rate model; and in combination with the parameter value corresponding to the crack propagation rate model and a preset critical crack length value, performing crack propagation life calculation, so as to obtain a target crack propagation life.

The invention discloses a metal material welding performance testing device and testing method, and belongs to the technical field of welding testing devices. The metal material welding performance testing device is characterized by comprising a workbench, a fixed clamp is arranged at one end of the workbench, a movable clamp is arranged at the other end of the workbench, and a loading mechanism is arranged between the fixed clamp and the movable clamp; the fixed clamp comprises a fixed seat, the movable clamp comprises a movable seat, and a power structure for driving the movable seat to slide on the supporting table is arranged on the supporting table; clamping mechanisms for clamping a workpiece are arranged on the fixed seat and the movable seat, a vibration structure for applying vibration to the workpiece is arranged in the center of the clamping mechanism on the fixed seat, and the vibration structure is located in the workpiece. By adopting the device and the method for testing the welding performance of the metal material, disclosed by the invention, the problem that an existing testing device cannot be used for testing the tensile property and the compressive property of a welded suspension arm under the condition of multi-load loading can be solved.

The invention discloses a pipe liner stability analysis and health monitoring system for an urban water supply pipe network, and particularly relates to the field of water supply pipe network health monitoring, which comprises the following steps: a data acquisition module acquires three-axis vibration data and adds a timestamp and a topological label; the signal separation module extracts independent components of turbulence and structural vibration; the modal offset labeling module calculates an energy coupling ratio and identifies an offset modal; the stability attenuation evaluation module compares the reference data through the transfer function matrix to quantify the rigidity loss and converts the rigidity loss into a pipe liner stability attenuation rate; the synchronous association module analyzes the time sequence characteristics and marks synchronous association nodes; the pipe lining degradation traceability module constructs a traceability path tree and converts the traceability path tree into a decision result with geographic coordinates; the system can effectively distinguish fluid disturbance and structural abnormity, performs pipe lining degradation monitoring and traceability, realizes visual early warning, and ensures long-term stable operation of a water supply pipe network.

The invention discloses a full-automatic cable vibration high-precision measurement method based on a machine vision technology, and relates to the technical field of structural vibration measurement. The method comprises the following steps: installing and calibrating equipment, and ensuring that a cable plane coincides with an imaging plane; high-frame-rate video acquisition is carried out, and comparison verification is carried out in combination with an accelerometer; screening effective pixels based on the pixel intensity time sequence variance, and constructing a pixel intensity space-time matrix by using the time sequence of the pixels; sVD decomposition is adopted to extract an accumulated energy ratio gt; 90% of the main modes are reconstructed, and real signals are revealed; a plurality of inhaul cables are automatically positioned and coded through gradient features and Hough transform; sub-pixel-level vertical displacement is calculated by applying an optical flow method, and median filtering is combined to resist noise; fourier transform is carried out to obtain a spectrogram, and a fundamental frequency is identified; and calculating cable force based on a string pulling theorem. According to the method, remote, full-field and multi-target synchronous monitoring is realized, the displacement measurement precision reaches a sub-pixel level, and a high-precision and full-automatic solution is provided for health monitoring of structures such as bridges.

The invention provides a vibration signal space-time reconstruction method based on a multi-modal condition diffusion model, and relates to the technical field of vibration signal reconstruction, and the method comprises the steps: firstly collecting structure vibration response through multiple sensors, constructing a multi-dimensional vibration signal matrix, and automatically recognizing a space continuous missing region and a time random missing region; performing coarse reconstruction on the missing region by adopting self-adaptive multi-scale interpolation so as to recover the basic trend and frequency band characteristics of the signal; a pseudo-missing mask is further applied to complete data, a training sample is constructed through a self-supervision strategy, and the model is guided to learn spatio-temporal correlation features and missing modes; in a training stage, a diffusion model is used as a generation framework, Gaussian noise disturbance is applied to a missing region, four types of condition embedding of time, space, trend and frequency domain are introduced in a denoising inversion process, signal periodicity, multi-sensor space coupling, low-frequency change and a physical frequency spectrum structure are respectively described, and the noise is reduced; and high-fidelity signal reconstruction under multi-modal information joint constraint is realized.

The invention discloses a collaborative enhancement energy consumption mechanism and a support arm type fan tower drum damping device with the collaborative enhancement energy consumption mechanism, and relates to the technical field of engineering structure vibration, the collaborative enhancement energy consumption mechanism comprises a liquid column lever assembly and a plurality of inerter damping units symmetrically installed at the end of the liquid column lever assembly, and each inerter damping unit comprises a shell; the hydraulic damper and the linear-rotation converter are sequentially and axially installed in the shell from top to bottom, when the liquid column inclines, the first connecting plate is driven to drive the piston rod to stretch out and draw back, the piston rod drives the flywheel to rotate through the linear-rotation converter, and therefore vibration energy is transmitted to a fixed foundation structure through the second connecting plate to be dissipated; the invention further discloses a supporting arm type fan tower drum vibration reduction device, displacement of the vibration transmission part is transmitted to the liquid column lever through the connecting piece, the inerter damping unit is driven to stretch out and draw back, a complete energy consumption chain of the tower drum, the vibration transmission part, the connecting piece, the liquid column, the inerter damping unit and the ground is formed, and it is guaranteed that energy is stably transmitted to a fixed foundation structure.

The invention discloses a truss structure wind-induced dynamic response prediction method and system based on physical enhancement. The method comprises the following steps: carrying out feature extraction and alignment fusion on input data containing condition parameters and wind speed time sequence data by utilizing a long short-term memory network and a physical enhancement attention mechanism; extracting multi-scale features from the fusion features through expansion convolution, and performing weighted aggregation on the multi-scale features; the physical priori knowledge of structural vibration is fused into position coding and a self-attention mechanism so as to carry out response prediction; and integrating physical model information of the truss structure and a dynamic control equation into a loss function, and calculating physical information residual loss so as to improve the physical interpretability of a prediction result. According to the method, data heterogeneity can be eliminated, complementary information can be fused, the multi-scale characteristic of wind-induced response is coped with, the accuracy and efficiency of wind-induced dynamic response prediction of the truss structure are effectively improved, and the physical interpretability and generalization ability are enhanced.

The invention relates to the technical field of wind power tower monitoring, and discloses a wind power tower health monitoring method and system. The method comprises the following steps: acquiring structural vibration signals and environmental load data of a wind power tower drum, extracting dynamic response characteristics of the tower drum, and establishing a basic monitoring data set of the running state of the tower drum in combination with the environmental load data; performing multi-dimensional decomposition processing on the basic monitoring data set, separating an inherent frequency component, a damping characteristic parameter and an external excitation coupling component of the tower drum, and constructing a first evaluation index of tower drum structure health according to the relevance between the inherent frequency component and the damping characteristic parameter; historical damage records and material degradation data of the tower drum are obtained, the historical damage records and the external excitation coupling component are subjected to time sequence alignment analysis, and a second evaluation index of tower drum damage evolution is generated; and fusing the first evaluation index and the second evaluation index, establishing a comprehensive scoring model of the health state of the tower drum, dividing the health level of the tower drum, and outputting a real-time monitoring report.

The invention discloses a magneto-rheological intelligent variable stiffness support, and relates to the technical field of building shock insulation, the magneto-rheological intelligent variable stiffness support comprises a lower bottom plate and an upper bottom plate, a separation ring is mounted between the lower bottom plate and the upper bottom plate, a high-damping rubber support is mounted in the separation ring, and a ring shaped like a Chinese character'hui 'is fixedly connected in the separation ring; the concentric-square-shaped rings are evenly distributed on the peripheral side of the high-damping rubber support, magnetorheological dampers are arranged on the adjacent sides of the outer walls of the concentric-square-shaped rings, self-adjusting mechanisms which are evenly distributed are installed on the inner walls of the separation rings and used for adjusting the rigidity of the magnetorheological dampers, and an auxiliary magnetic mechanism is arranged between the lower bottom plate and the upper bottom plate and used for adjusting the rigidity of the magnetorheological dampers. The auxiliary magnetic mechanism is arranged outside the magneto-rheological damper, and steering assemblies are installed at the two ends of the magneto-rheological damper respectively. The self-adjusting mechanism can be automatically adjusted in an earthquake, the service life of the magneto-rheological damper is prolonged, the adaptive assembly achieves accurate control over the magneto-rheological damper, and the control effect of the support on structural vibration is greatly improved.

The present invention discloses a double-annular strong magnetic array nonlinear dynamic vibration absorber and design method for suspension vibration reduction, which belongs to the field of structural vibration control. The installation position and quantity are designed according to the vibration reduction requirements, and one is usually installed at the midpoint of the suspension. The vibration absorber comprises inner and outer magnetic ring arrays, counterweights, universal wheels and a base. It feeds back the control force in the opposite direction of the suspension vibration during movement, so that the suspension vibration energy is transferred to the vibration absorber and then less returned to the suspension, and the energy is dissipated through friction between the universal wheel and the base, the installation of air dampers and other measures. It introduces nonlinear stiffness, so that the optimal parameter domain range is expanded from the line domain to the surface domain, and thus has the outstanding advantages of easy parameter tuning and high vibration reduction robustness, and is easy to install, durable, and requires no or less maintenance. It is applicable to single, double and four-cable suspensions, and is expected to achieve the goal of good vibration reduction effect throughout the life cycle of the suspension, which has positive significance for ensuring driving and bridge safety and extending the service life of the suspension.

The invention discloses a nonlinear aerodynamic damping estimation method based on LSTM, and the method comprises the following steps: 1, building a nonlinear state space model of a structure based on structural response, including a state equation, an observation equation and a relation between nonlinear aerodynamic damping and structural vibration amplitude; 2, performing updating and covariance prediction on response data by using unscented Kalman filtering; 3, correcting the Kalman gain in real time by using a long short-term memory network; 4, performing state updating and covariance updating based on the corrected Kalman gain; 5, training the long-short-term memory network through an unsupervised learning mode, optimizing the filtering performance, and defining a mean square error of a posterior observation predicted value and a real observation value as a loss function; and 6, calculating the nonlinear aerodynamic damping according to the estimated nonlinear aerodynamic damping parameters. The invention further discloses a nonlinear aerodynamic damping estimation system based on the LSTM and a storage medium.

The invention discloses an under-timing variable working mode parameter identification method and device based on statistical characteristic variable window length, and the method comprises the steps: obtaining and processing a response signal sequence of structural vibration under the excitation of a set environment, and obtaining a processed response signal subsequence in a current sliding window, extracting a time-frequency characteristic matrix from the processed response signal sub-sequence in the current sliding window, extracting a principal component matrix from the time-frequency characteristic matrix by adopting principal component analysis, and analyzing and determining a hysteresis period by adopting an autocorrelation function; according to the time-frequency characteristic matrix, the hysteresis period and the principal component matrix of the current sliding window, estimating to obtain modal parameters of the current sliding window; calculating to obtain the statistical characteristics of the current sliding window and designing a self-adaptive window length adjustment strategy to obtain the window length of the next sliding window; and taking the next sliding window as the current sliding window, and repeating the steps. According to the method, the under-timing variable working mode parameters can be accurately identified.

The invention discloses a structure large displacement estimation method based on Canny-Hough transformation and KLT optical flow, and relates to the related field of signal processing and vision measurement, and the method comprises the steps: collecting and preprocessing structure vibration data; carrying out integer pixel displacement estimation on the basis of Canny-Hough transformation; reconstructing the video; performing sub-pixel displacement estimation based on the KLT optical flow; and physical displacement. According to the method, the limitation of a single identification method in identifying different pixel levels (pixel level and sub-pixel level) is overcome, the measurement precision of the large displacement of the structure is remarkably improved, and an estimation error caused when an image pyramid is used for large displacement tracking is avoided. The research provides a new target-free large-displacement motion estimation scheme for structural vibration measurement based on computer vision, and has important reference value.

The invention provides a bridge structure vibration long-term monitoring algorithm and system based on computer vision, and relates to the technical field of beam monitoring. In the prior art, there is no vision-based bridge monitoring algorithm with high precision, strong robustness and shielding self-recovery capability. According to the method, matching point confidence is calculated, and matching points with low confidence scores are removed; calculating the displacement of the bridge at the plurality of feature points, and generating vibration time sequence data; the inherent frequency and the corresponding modal shape are extracted and compared with the reference frequency range and the reference modal shape, the monitoring result is obtained, shielding self-recovery is carried out according to the environmental interference influence, the precision and reliability of bridge monitoring are improved, and the robustness of bridge monitoring activities in a complex scene is improved.

The invention provides a grouting curtain parameter design method for structure protection under the blasting vibration effect, and relates to the technical field of underground engineering and blasting engineering, and the grouting curtain parameter design method comprises the following steps: S1, determining main factors influencing the vibration velocity of a protection structure, and constructing a vibration velocity prediction model containing an undetermined coefficient by adopting a dimension analysis white golden-han theorem; s2, establishing a finite element blasting numerical model, and obtaining structural vibration velocity data under different parameter combinations; s3, fitting the structural vibration velocity data by using the vibration velocity prediction model, and determining an undetermined coefficient in the vibration velocity prediction model; and S4, a relational expression between the structural vibration velocity and stress is established, and grouting curtain design parameters meeting structural safety requirements are determined in combination with engineering conditions. By means of the method, the problem that the grouting curtain damping effect and grouting curtain parameters are difficult to determine in actual engineering is solved, the blasting vibration peak value of the protection structure under the blasting vibration effect is effectively reduced, and a guarantee is provided for underground and ground structure protection and blasting engineering safety construction.

The invention belongs to the field of bridge main body structure monitoring, and particularly discloses a bridge main body structure health monitoring and abnormity identification method, which comprises the following steps: arranging a vibration sensor array in a bridge span structure load distribution area to carry out vibration data acquisition, and carrying out wind-induced component correction on a vibration signal in combination with real-time wind speed data; accurate acquisition of vibration data required by bridge structure health monitoring is realized, and at the same time, when bridge structure abnormity identification is carried out based on a vibration signal after wind-induced vibration correction, a vibration energy propagation path map is constructed by carrying out phase and amplitude conjoint analysis on vibration wave data. On the basis, anomaly recognition is performed in combination with the frequency concentration degree and the amplitude mutation degree of the nodes, and on one hand, non-structural vibration interference is effectively eliminated through propagation path modeling; and on the other hand, the energy state change of the node in the propagation path is utilized to realize accurate identification of the energy abnormal propagation position, and the accuracy of damage positioning is improved.

The invention discloses a pure electric vehicle heat pump type whole vehicle thermal management system and method, and relates to the technical field of new energy vehicle thermal management, and the method comprises the following steps: constructing a combined twin system of thermal fluid, structural vibration and acoustic fluctuation, collecting pressure waves and vibration phases by using an array sensor, forming a steady state baseline spectrum and a transient state baseline spectrum, and calculating the temperature of the steady state baseline spectrum and the transient state baseline spectrum; and a unified reference is established. According to the method, a combined twinborn system of thermal fluid, structural vibration and acoustic fluctuation is constructed, the dynamic characteristics of pulsating waves are accurately monitored, and instability early warning is carried out by using a phase locking tracking method. Through pipeline topology reconstruction and segmented damping link design, a self-adaptive pulsation buffer zone is introduced, and pulsation energy is effectively absorbed. And in combination with a multi-target control law and a time reflection mirror cooperative regulation strategy, refrigerant flow is accurately controlled, pulsation energy is actively counteracted, and stable operation of the system is guaranteed. Through the innovative design, the stability of a heat management loop is improved, the fault risk caused by pulsation is reduced, and the cooling efficiency and safety are improved.

The invention discloses a control method and device of a wind driven generator, a terminal and a storage medium, particularly relates to the technical field of operation control of the wind driven generator, and is used for solving the problem that a supporting structure bears violent asymmetric loads due to dynamic response differences of wind and wave load directions in a marine environment in an existing control method. Wind direction and wave direction data are synchronously obtained in real time, the wind direction change rate is calculated, supporting structure vibration signals are analyzed to recognize wave excitation dominant frequency components, and when it is detected that wave excitation energy suddenly changes and the wind direction change rate exceeds the limit, the wind wave direction difference is analyzed; meanwhile, a wave spectrum energy concentration frequency band is determined by analyzing the tower top movement track, the load asymmetry risk level is evaluated by combining the direction difference and the wave energy concentration frequency band, finally, the yaw speed and the variable pitch speed are adjusted in a self-adaptive mode according to the risk level, and accurate recognition and early warning of the wind wave load direction mismatching working condition are achieved. And the operation reliability of the wind driven generator in extreme weather is improved.

The invention belongs to the technical field of control detection, and particularly relates to a laser cutting machine cutting control method and system.The laser cutting machine cutting control method comprises the following steps that S1, frequency sweeping excitation is applied to a plurality of preset grid node positions of a laser cutting machine workbench, and vibration response data of a cutting head is collected; a dominant pole and a zero point of a vibration transfer function of each grid node are identified and extracted, spatial distribution is fitted by using a non-uniform rational B-spline surface, and a spatial model of continuous mapping between a cutting head position and a vibration transfer function parameter is established; s2, decomposing a to-be-processed path into a plurality of path infinitesimal segments, and calculating a preliminary feed-forward compensation instruction of each path infinitesimal segment based on a space model and a zero-phase error tracking control algorithm; according to the invention, the contour error caused by structural vibration and non-linear factors is reduced, the processing precision and the cutting surface quality of the laser cutting machine in a full working range are improved, and the forming effect of a complex contour at a high speed is improved.

The invention belongs to the technical field of converter transformers, and particularly discloses a converter transformer vibration noise control method and system, a terminal and a medium, and the method comprises the steps: constructing a converter transformer structure geometric model, setting material attributes, and carrying out the grid division; based on the geometric model, establishing an electromagnetic field simulation model, applying excitation conditions, obtaining electromagnetic field distribution, establishing an iron core magnetostriction mathematical model, calculating vibration acceleration caused by magnetostriction and transient electromagnetic force of an iron core and a winding, and solving and extracting a displacement field and stress-strain response; establishing an acoustic coupling model on the basis of a structure vibration result, and calculating sound pressure level distribution under different frequencies by setting a structure-air coupling boundary and a matching layer; according to an acoustic simulation result, an iron core positioning structure and an oil tank reinforcing rib arrangement mode are optimized, vibration noise prediction and control of the converter transformer in a multi-harmonic excitation environment are realized, and equipment structure stability, operation reliability and environment adaptability are improved.

The invention discloses a complex damping beam structure vibration complex modal analysis method suitable for any boundary condition, and relates to the technical field of ship and ocean engineering, and the method comprises the steps: building a unit complex dynamic stiffness matrix based on a frequency domain oscillatory differential equation of a damping beam unit with a uniformly distributed elastic layer; the double dynamic stiffness matrixes of all the units are combined, and a beam structure overall double dynamic stiffness matrix considering damping is obtained; any given force and displacement boundary conditions are applied to the overall double dynamic stiffness matrix, and a transcendental function equation used for conducting double modal analysis on the beam structure is obtained; performing triangular mesh division in a solution region in the complex plane, calculating function values of an equation at all mesh nodes, and determining candidate regions based on quadrant changes of the function values; and function zero points or poles existing in the candidate areas are calculated based on the Cauchy argument principle, so that the complex eigenvalues and eigenvectors of the beam structure are obtained, and the method has important significance on rapid and efficient expansion of complex modal analysis.

The invention discloses a pumped storage power station underground powerhouse structure vibration test and excitation load feedback analysis method comprising the following steps: S1, combining time domain and frequency domain analysis to extract vibration characteristics of each structure of a powerhouse; s2, calculating three types of vibration sources, namely contribution degrees of machinery, hydraulic power and electricity to structural vibration; s3, adopting a finite element numerical simulation method and combining field actual measurement data to perform unit excitation load feedback analysis; the technical problems that the contribution of various vibration sources to plant vibration cannot be accurately judged in the prior art, so that the design of vibration control measures is lack of pertinence, and the transformation effect cannot be accurately predicted when the plant structure is subjected to anti-vibration optimization and transformation are solved.

The invention discloses a vibration control method for an offshore wind turbine structure, which comprises the following steps of: a, implementing real-time multi-source data acquisition which is realized by deploying a series of sensors on the offshore wind turbine structure and in the surrounding environment so as to obtain environmental load parameters, structural response parameters and running state parameters of the offshore wind turbine; and b, inputting the acquired data into a composite environment and structure state decoupling and feature extraction module, preprocessing the acquired data by the module, and identifying an environment load spectrum in real time. According to the vibration control method for the offshore wind turbine structure, through multi-source information fusion, online system identification and self-adaptive multi-target control, broadband, multi-mode and self-adaptive suppression of vibration of the offshore wind turbine structure is achieved, and the limitation of a traditional fixed parameter damper in a complex dynamic marine environment is overcome; complex excitation sources such as wind, waves and ocean currents and the coupling effect of the excitation sources are effectively handled.

The invention discloses a structural vibration reduction topological optimization design method based on anti-resonant frequency constraint. The method comprises the following steps: constructing a finite element model corresponding to structure parameters; obtaining an initial structure and an optimization column formula according to the finite element model; obtaining an objective function value through finite element analysis; obtaining an anti-resonance frequency correlation characteristic value through generalized asymmetric characteristic value analysis; and the design variables are updated in combination with optimization column constraints, and a topological optimization design configuration is obtained after convergence judgment. According to the method, explicit calculation and precise control of the dynamic compliance anti-resonant frequency are achieved, optimization and advanced convergence are avoided through anti-resonant frequency constraint, a clear vibration reduction topological configuration can be obtained under high-frequency excitation without additional mass, the vibration reduction performance and the static force bearing capacity of the structure are both considered, and the method is suitable for large-scale popularization and application. And the design requirements for light weight and high vibration attenuation of the structure in the fields of aerospace and the like are met.

The invention relates to the technical field of structural vibration control, in particular to an adjustable electric damping-negative stiffness dynamic vibration absorber for a flexible shafting. According to the technical scheme, the damping device comprises a support and a rolling bearing, a plurality of first supporting rods used for supporting are arranged outside the rolling bearing, an electric damper used for absorbing vibration is arranged at one end of each first supporting rod, and a second supporting rod used for supporting is arranged on the other side, away from the first supporting rods, of each electric damper. A negative stiffness vibration absorber is arranged at the end, away from the electric damper, of the second supporting rod, and the electric damper comprises an auxiliary circular ring used for bearing loads. Through the arrangement of the adjusting plate, the adjusting bolt, the disc spring, the mass block, the movable magnet, the static magnet and the electric damper, the purposes of vibration absorption and vibration reduction can be achieved at the transcritical rotating speed and the supercritical working rotating speed, and the negative stiffness dynamic vibration absorption frequency and the electric damping suppression modal frequency can be rapidly adjusted according to the change of the operation working condition; and the application range and the universality are improved.

The present invention discloses a gait optimization method and system for an on-track walking assembly robot, the method comprising: constructing a robot-structure coupling dynamics model and obtaining the coupling relationship between the robot joint motion and the structural vibration; constructing a joint trajectory function based on the sum of a quintic polynomial and a finite-term cosine Fourier series; constructing an objective function according to the relationship between structural vibration and joint motion; finding the joint trajectory parameters that minimize the objective function based on a PSO algorithm, and substituting the parameters into the joint trajectory function to obtain the joint trajectory. The system comprises: a coupling dynamics model construction module, a joint trajectory function construction module, an objective function construction module, and an optimization module. By using the present invention, the gait trajectory during the robot motion process is optimized, which helps to reduce the force on the structure caused by the robot motion, so that the residual vibration generated by the structure is minimized. The present invention can be widely used in the field of robot control.

The invention provides a tower crane safety dynamic early warning method and device based on time sequence analysis, and the method comprises the steps: building a finite element model of a tower crane, obtaining the structural vibration conditions of the tower crane under different typical working conditions, obtaining the multi-source time sequence data corresponding to danger factors of the tower crane under different typical working conditions, building deep learning models for different typical working conditions, and carrying out the deep learning of the different typical working conditions. Training each deep learning model, inputting the structural vibration condition under the corresponding typical working condition and the multi-source time sequence data corresponding to the risk factor, outputting a combined early warning index, obtaining the typical working condition corresponding to the real-time working condition of the tower crane, and predicting by adopting the deep learning model corresponding to the typical working condition. And a combined early warning index corresponding to the real-time working condition of the tower crane is obtained. According to the method, key feature information is extracted based on structural vibration conditions under typical working conditions and multi-source time sequence data corresponding to danger factors, feature fusion is carried out, a deep learning model is established, a combined early warning index is output, and real-time dynamic monitoring is carried out on the safety of the tower crane.

The invention provides a power transmission tower inertial vibration control method, and belongs to the technical field of structural vibration control and damping. According to the technical scheme, an inerter high-performance vibration reduction technology is introduced, the high-performance vibration control problem of the power transmission tower is solved, and meanwhile, a transmission and dissipation mechanism of vibration energy of the power transmission tower in different-configuration vibration reducer connection modes is researched. On the basis, a high-performance inertial vibration reduction energy consumption element is designed based on the inertial vibration reduction principle, the passive vibration control device which can be tuned on site and is light in weight and high in performance is formed, and the actual vibration control requirement of the power transmission tower is met. The most unfavorable response control rate of vibration of the power transmission tower can exceed 20%, and under the same control effect, compared with a traditional tuned mass damper, the weight is reduced by more than 20%. The dynamic catastrophe effect of the power transmission tower structure is effectively controlled, the international first-class safety and toughness disaster prevention level is achieved, and the electric power construction technology level of the state grid is remarkably improved.