2010 results about "Vibration amplitude" patented technology

An online testing and diagnosis method for vibration characteristics of blades of wind turbine is disclosed. Steps of testing and diagnosing blade vibration comprises: S1: installing vibration sensors at key positions of a blade, designing an adaptive data acquisition strategy, and automatically adjusting a sampling rate according to a vibration amplitude and environmental changes monitored in a real time; S2: extracting key features reflecting health status of the blade from massive data, and evaluating an impact of wind speed, temperature, and environmental factors on vibration characteristics; S3: designing a customized deep learning model for damages of the blade of a wind turbine, extracting a time sequence data and a vibration signal, identifying a damage among different types of damages and evaluating a damage degree; and S4: automatically adjusting a warning threshold based on a real-time data stream and a historical trend, and drafting a preventive maintenance plan.

The invention relates to the technical field of agricultural robot motion control, in particular to a mechanical arm posture stable adjusting method based on vibration feedback, which comprises the following steps: S1, collecting a vibration signal of an end effector of a mechanical arm in real time; s2, frequency domain analysis and amplitude-phase decomposition are conducted on the vibration signals, and vibration characteristic parameters of the mechanical arm in the X / Y / Z axis direction are extracted; s3, generating a multi-axis vibration vector in combination with the terrain inclination angle data; s4, attitude compensation parameters of all the joints are calculated; s5, a mechanical arm joint angle adjusting instruction is generated according to the posture compensation parameters; and S6, circularly executing the steps S1 to S5 until the vibration amplitude is lower than a preset threshold value. According to the method, the multi-axis vibration characteristics are extracted in real time, the joint compensation angle is calculated through the anti-offset and anti-overturning matrix, rapid and stable attitude control of the mechanical arm in the high-frequency disturbance environment is achieved, and therefore the tail end positioning precision and the overall operation reliability are remarkably improved.

The invention relates to an optimization design method for a multi-fulcrum elastic ring supporting structure of an aero-engine rotor system, and belongs to the technical field of aero-engine vibration control and rotor dynamics simulation. Firstly, a finite element or lumped unit model is adopted to establish a coupling kinetic equation of a rotor and an elastic ring, and fluid-solid coupling factors such as inner and outer oil films of the elastic ring and orifice flow are considered; then, through critical rotating speed and vibration harmonic response analysis, sensitivity evaluation is carried out on rigidity and damping characteristics of different supporting positions, and target vibration reduction modes corresponding to all fulcrums are identified; then, coupling simulation and multi-objective optimization are carried out around the number of bosses of the elastic ring, the height of the bosses, the damping aperture, the thickness of a thin wall and other key structure parameters, and the optimal design meeting the vibration reduction requirement of a rotor system and the strength reliability requirement of the elastic ring is obtained through iteration; and finally, an optimization result is applied to structure manufacturing and assembling. The method can effectively reduce the vibration amplitude of the rotor when the rotor crosses the multi-order critical rotating speed.

The invention provides a feed mixing process uniformity dynamic evaluation and parameter adjustment method, and relates to the technical field of data processing, and the method comprises the steps: building a material characteristic matrix according to raw material characteristic data; correspondingly storing the material characteristic matrix and initial operation parameters of the mixing equipment to generate first mixing control data; in the mixing process, collecting local vibration amplitudes and temperature rise rates at different spatial positions, and combining the local vibration amplitudes and the temperature rise rates with the first mixing control data; calculating the vibration amplitude distribution difference in adjacent sampling periods in the feed mixing treatment process to obtain a spatial fluctuation index; when the spatial fluctuation index is continuously reduced and the temperature rise rate is periodically and suddenly increased, generating local accumulation indication data, and triggering short-time acceleration and inversion operation; executing feed mixing treatment, and generating a mixing termination signal when the spatial fluctuation index change rate of three continuous sampling periods is lower than a preset fluctuation threshold value; according to the invention, autonomy and accuracy of feed mixing uniformity adjustment are improved.

The invention belongs to the technical field of flange detection, and particularly relates to a flange forge piece defect detection device and method.The flange forge piece defect detection device comprises a rotary clamping mechanism, a defect detection module, a force control executing mechanism, a marking mechanism and a control module, the defect detection module comprises an eddy current sensor and an ultrasonic probe, and the force control executing mechanism and the marking mechanism are also integrated on a shell; the control module is mounted in the electric control box; the eddy current sensor is used for monitoring a voltage fluctuation value in real time and generating a surface crack density coefficient through the control module; and the ultrasonic probe is used for monitoring an echo amplitude value in real time and generating an internal defect attenuation coefficient through the control module. By integrating the eddy current sensor and the ultrasonic probe, detection of surface cracks (voltage fluctuation monitoring) and internal defects (echo amplitude analysis) of the flange forge piece is synchronously achieved, the problem that the surface quality and the internal quality cannot be considered in a traditional single detection mode is solved, and the safety risk caused by missing detection of the defects is reduced.

The invention relates to the technical field of vibration measurement, and particularly discloses a guide plate online dynamic amplitude anti-deviation laser monitoring device which comprises a fixing frame, a mounting groove is formed in the outer surface of the upper end of the fixing frame, a movable rod used for supporting a guide plate is fixedly connected to the inner side of the mounting groove, and a limiting assembly is arranged on the outer side of the movable rod. The limiting assembly comprises a notch formed in the outer surface of the guide plate, a limiting sleeve is fixedly connected to the outer surface of the movable rod, a pressing crack is formed in the outer surface of the limiting sleeve, and the limiting sleeve penetrates into the notch. By arranging the limiting assembly, when the position of the guide plate deviates, a limiting sleeve can play a role in correcting the deviation of the guide plate, so that the position of the guide plate is always in a proper position, and the influence of the position deviation of the guide plate on the measurement precision of the vibration amplitude of the guide plate can be reduced to a certain extent; and the monitoring error can be reduced to improve the monitoring precision.

The invention discloses a feed proportion abnormity identification method and system, and particularly relates to the field of feed proportion abnormity identification, and the method comprises the steps: extracting the disturbance variables of vibration amplitude, feeding speed and voiceprint waveform in multi-source disturbance data, constructing the disturbance time sequence expression of a frequency, form and amplitude triple feature structure, and carrying out the recognition of the vibration amplitude, the feeding speed and the voiceprint waveform. Extracting a disturbance characteristic track with center characterization capability in a cluster through atlas clustering, and writing the disturbance characteristic track into a track benchmark expression library; constructing an aligned trajectory expression set by analyzing the frequency domain structure and the time slice expression of each channel signal in the current batch of disturbance data and combining the binding relationship between the batch number and the formula number; by constructing an offset matching and track consistency judgment mechanism based on multi-source disturbance track expression, structured recognition and path logic verification of a formula drift phenomenon are realized, and the problem that the actual feed nutrition state is misjudged due to the fact that real proportion offset caused by residual feed cannot be recognized is solved.

The invention relates to an ultrasonic transducer capable of realizing a high torsional vibration-longitudinal vibration amplitude ratio and a design method thereof. The ultrasonic transducer comprises a piezoelectric ceramic vibrator 3, an amplitude-change pole 2 and a tool head 1 which are connected in sequence, the shape of the amplitude-change pole is formed by rotating a specific geometric curve around the axis. The interior of the amplitude-change pole is of a cavity structure 5, the wall thickness distribution of the amplitude-change pole is adjustable, the cavity structure is a through hole or a blind hole, and the shape of the cavity structure is an equal-diameter cavity extending along the axis or a special-shaped cavity formed by rotating a specific geometric curve around the axis. By optimizing the internal cavity structure and the wall thickness distribution and adjusting the amplitude proportion between torsional vibration and longitudinal vibration, the longitudinal vibration of the transducer can be converted into longitudinal torsional vibration, so that the transducer has both longitudinal vibration and torsional vibration. Due to the unique cavity type structure in the amplitude-change pole, the amplitude ratio of generated torsional vibration to longitudinal vibration can be larger, the ultrasonic effect with the high torsional vibration-longitudinal vibration amplitude ratio can be generated, and vibration output with the high torsional vibration-longitudinal vibration amplitude ratio can be achieved.

The invention relates to the technical field of centrifugal detection, and provides a centrifugal detection system which is characterized in that spectral data, image data and pressure data are acquired through a detection module, spectral features, layered edge sharpness and pressure change features are extracted, the features are fused through an attention mechanism to obtain centrifugal fusion features, and then an accurate centrifugal state score is analyzed; the control module combines the centrifugal state score and simulates the vibration amplitude and torque change in the centrifugal detection process to judge whether the centrifugal state is abnormal or not, the centrifugal state can be comprehensively and accurately evaluated in a multi-source data detection and multi-factor comprehensive judgment mode, the limitation of single data or single factor judgment is avoided, and the detection accuracy is improved. Potential problems of physical and biological levels in the centrifugal process can be timely and accurately found, and a reliable basis is provided for subsequent adjustment and control.

The invention relates to the technical field of cable bridges, and discloses a cable bridge with expansion joints, which comprises two cable bridge main bodies, expansion joint main bodies are slidably connected to the outer walls of the two cable bridge main bodies, and three air pressure sleeves are fixedly connected to the tops of the expansion joint main bodies. First air pressure cavities are formed in the inner walls of the three air pressure sleeves correspondingly, air in the first air pressure cavities and the second air pressure cavities is extruded by the extrusion assembly under the influence of the weight of the cable, so that air at the top and the bottom of a piston rod is in a high-pressure state, and when the cable at the main body part of the expansion joint vibrates, generated vibration is transmitted to a supporting plate; by means of compressibility of high-pressure gas on the two sides of the piston rod, vibration generated by the cable is absorbed, the vibration amplitude of the cable is reduced, and the situation that flexible connection between the expansion joint body and the cable bridge body easily causes increase of the vibration amplitude of the cable at the position, large pulling force is applied to the cable at the position, and the cable is easily damaged is effectively prevented.

The invention discloses a grinding state and grinding wheel wear monitoring system and method based on multi-sensor fusion, which realize multi-physical-quantity coupling modeling and improve the monitoring precision through cooperative deployment of micro array thermocouples, strain force sensors and vibration sensors and in combination with a time domain and frequency domain feature extraction technology. The system adopts a non-contact power supply design, electromagnetic induction power generation is driven through rotation of the main shaft, real-time signal processing and wireless transmission of a circuit board in the grinding wheel are supported, and the problem of power supply in a high-speed rotation scene is solved. And meanwhile, dimension reduction processing is conducted on the multi-sensor features through an offline network model, self-adaptive adjustment of grinding parameters and ultrasonic amplitude is achieved through dynamic regulation and control logic, and the downtime and the rejection rate are remarkably reduced. The method has remarkable creativity, practicability and economic benefits, fills the blank of fragmentation monitoring and regulation and control lag in the prior art, and improves the stability and machining quality of the grinding process.

The utility model relates to a flexible photovoltaic support with a vibration reducing function, which comprises end part stand columns and a middle stand column, the middle stand column is arranged between the end part stand columns, the top of each end part stand column is fixedly connected with an installation cable, and two installation cables are arranged in pairs in parallel in a group. A triangular support is fixedly connected to the mounting cables arranged in pairs, a spring is fixedly connected to the bottom of the triangular support, a limiting piece used for limiting straightening of the spring is installed on the spring, a balancing weight is fixedly connected to the bottom of the spring through a first steel wire rope, and a ground pile is fixedly connected to the bottom of the balancing weight through a second steel wire rope. Various guarantees are provided, the vibration amplitude of the flexible photovoltaic support is effectively reduced, the structural safety is improved, meanwhile, the vibration reduction assembly can be effectively protected, and structural failure is avoided.

The invention relates to a multi-machine cooperative dynamic balance driving method, system and device for a spiral lifting machine, and the method comprises the steps: carrying out the compensation of the time lag of an actuator through employing a non-linear state observation and time lag compensation combined method, and obtaining a feedforward control quantity; performing Lyapunov stability feedback processing on the vibration acceleration signal to obtain a vibration suppression control quantity; designing a multi-section S-shaped speed curve, and calculating a closed-loop feedback control quantity by adopting PID (Proportion Integration Differentiation) combined with a robust control algorithm; and according to the feedforward control quantity, the vibration suppression control quantity and the closed-loop feedback control quantity, multi-machine cooperative dynamic balance driving of the spiral lifting machine is carried out. According to the invention, a non-linear state observation and time delay compensation technology is adopted, so that the synchronization error is reduced to a millisecond level; the low-frequency vibration amplitude is reduced through dynamic feedback control designed based on the Lyapunov theory; the hydraulic impact is obviously reduced by adopting a multi-section S-shaped speed curve; external disturbance is observed in real time through Kalman filtering, feed-forward compensation is carried out, and the robustness of the system is greatly enhanced.

The invention discloses a bridge service intelligent evaluation and early warning method and system based on dynamic and static load-multi-modal data fusion, and the method comprises the steps: S1, installing a vibration acceleration sensor and a strain gauge at a bridge control part, and collecting data; locally preprocessing data by adopting an edge computing framework, extracting feature values, encrypting and transmitting the feature values to a cloud; identifying and collecting diseases, and combining a deep learning network model to realize pixel-level crack segmentation; s2, establishing a space-time-measuring point-disease three-dimensional correlation model; s3, a three-level early warning threshold system is set, different early warning levels have different requirements for vibration amplitude and crack length indexes, and when a monitoring index exceeds a threshold value, early warning information is pushed to a terminal in real time through 5G; S4, a decision engine is constructed based on a Q-Learning algorithm or a deep reinforcement learning model, early warning levels, residual life and maintenance cost parameters are input, and the early warning level, the residual life and the maintenance cost parameters are calculated. And outputting the optimal maintenance scheme.

The invention relates to a diagnosis method for judging a loose part of rotating equipment. The diagnosis method comprises the following steps: (1) collecting vibration data; (2) spectrum characteristic analysis; (3) differential vibration testing; (4) positioning a loose part; and (5) dynamic verification and optimization. The device has the advantages that through multi-dimensional vibration data acquisition, vibration sensors are arranged at key parts such as motor feet, a bedplate and foundation bolts, vibration displacement values in the horizontal direction, the vertical direction and the axial direction are measured, multiple test points are divided to synchronously acquire data, and vibration information of rotating equipment can be comprehensively acquired. And combining frequency spectrum characteristic analysis and differential vibration comparison, comparing vibration displacement value differences of different hierarchical structures of the same part, and calculating a difference threshold value, so that the specific loose part of the A-type machine is accurately positioned, the limitation that accurate positioning is difficult to realize by traditional experience-dependent judgment or single vibration amplitude analysis is broken through, the blindness of maintenance is reduced, and the working efficiency is improved. The maintenance efficiency is improved.

The invention provides an interactive interface design parameterization method guided by tactile feedback. The method comprises the following steps: acquiring physiological features, use habits and use scene information of a user, and presetting basic tactile feedback parameters according to a scene-parameter mapping rule; during interaction, touch parameters such as vibration frequency and amplitude are dynamically adjusted based on user operation behaviors, physiological reactions and scenes by using a deep learning model; and meanwhile, a multi-modal parameter fusion model is established, so that tactile, visual and auditory parameters have a synergistic effect, for example, when a button is clicked, the three parameters are mutually associated to enhance a feedback effect. After the operation is completed, the feedback effect is evaluated through objective indexes such as the subjective score of the user and the operation accuracy, and the user personalized model and the parameter adjustment model are optimized. According to the method, the problems that traditional parameters are fixed, and multi-modal fusion is insufficient are solved, accurate and personalized man-machine interaction is achieved, and the user experience is improved.

The invention provides a vibration test bench, and relates to a vibration test device, and the vibration test bench comprises a pedestal, and a plurality of vibration frames which are arranged on the pedestal in parallel at intervals and are sequentially arranged on the pedestal from top to bottom; each sliding guide rail is arranged between every two adjacent vibration frames and between the vibration frame on the lowermost layer and the base, and the guide directions of the sliding guide rails are different from one another; each driving mechanism is fixedly connected to the vibration frame located on the lower layer or the base and drives the vibration frame located on the upper layer to do reciprocating rectilinear motion along the corresponding sliding guide rail. Each locking mechanism is arranged between every two adjacent vibrating frames and between the vibrating frames and the base, and each locking mechanism can selectively lock the reciprocating motion of the vibrating frame located on the upper layer; the control unit is in communication connection with all the driving mechanisms and independently controls operation of all the driving mechanisms. The vibration test bench can realize multi-degree-of-freedom movement, and has a broadband vibration frequency / amplitude adjusting function.

The invention discloses a high and steep slope rock mass stability intelligent monitoring system and monitoring method, and relates to the technical field of intelligent monitoring, and the method comprises the steps: 1, collecting images, vibration and inclinometer data in real time, and carrying out comprehensive analysis to generate a landslide coefficient; 2, if the coefficient exceeds a threshold value, triggering a first-level alarm, otherwise, entering trend analysis; and step 3, judging the trend speed through the ratio of the low frequency to the high frequency of the vibration signal and the time slope, triggering secondary early warning when the trend speed exceeds a threshold value, or else, circularly monitoring. Vector conversion and included angle cosine are matched with a landslide direction threshold value, effective deformation is quantified by combining bending radius and stress analysis, multidirectional bending interference of an inclinometer is eliminated, displacement direction measurement precision is improved, early warning errors are reduced, a trend variable is constructed by utilizing a ratio of low-frequency amplitude to high-frequency amplitude, trend speed is analyzed by combining time sequence slope, and the method has the advantages of being high in accuracy and high in accuracy. The rock body loosening sign is comprehensively pre-judged, early warning is achieved, and the sudden landslide risk is reduced.

The invention relates to a bridge structure modal parameter identification method, which is based on a bridge structure tiny vibration video acquired by a camera. VMD (variational mode decomposition), PBVM (phase-based video motion amplification), Gabor filtering-based phase extraction method GBP (Gabor filtering), an improved clustering algorithm ICA (independent clustering algorithm) and an integrated covariance-driven random subspace recognition (SSI-Cov) and FDD (frequency domain decomposition) algorithm are fused to construct a set of complete non-contact structural modal parameter recognition system. According to the method, effective decoupling of multiple vibration modes of a bridge structure, frequency domain feature extraction of small-amplitude vibration and intelligent and automatic modal parameter extraction are achieved under the conditions that the target frequency bandwidth does not need to be known in advance, environmental noise interference exists and no obvious feature target exists, and the method belongs to the technical field of bridge structure health monitoring.

The invention discloses a full-field-domain structure high-precision deformation and vibration measurement system based on a microwave interference radar, and the system comprises an observation configuration module which is used for obtaining radar observation parameters and completing the signal transmission and reception; the signal processing module is used for preprocessing the echo signal and constructing an interference phase matrix; the phase unwrapping module is used for generating a continuous phase sequence and calculating the displacement of a reflection point; the frequency spectrum extraction module is used for extracting the frequency component and the vibration amplitude of each reflection point; the response clustering module is used for extracting reflection point clusters with similar frequency responses and constructing a vibration distribution diagram; the modal identification module is used for generating a vibration modal feature vector and marking a difference region; and the track generation module is used for generating a dynamic deformation track diagram of the full field domain structure. According to the invention, high-precision deformation and vibration mode synchronous measurement of a complex structure under full-field-domain and non-contact conditions is realized, and the precision, efficiency and intelligent level of structure monitoring are effectively improved.

The invention provides a vibration measurement device for motor equipment, and relates to the field of vibration measurement, and the device comprises a main body support frame, and the left and right sides of the top of the main body support frame are provided with self-locking worm gears A; a mounting angle adjusting shaft is rotationally mounted on the inner side of the main body supporting frame; self-locking worms A are arranged on the left side and the right side of the mounting angle adjusting shaft; the self-locking worm A is matched and connected with the self-locking worm gear A; guide pieces are arranged on the left side and the right side of the main body supporting frame. A mounting angle adjusting part is arranged in the middle of the mounting angle adjusting shaft; the vibration testing device can test vibration of motor equipment at different installation angles and output angles, the universality and accuracy of the vibration testing result of the device are improved, and the problem that the vibration amplitude of the motor equipment is affected to a certain extent due to installation modes at different angles is solved. And a vibration measurement result obtained by only testing plane installation does not have universality.

The invention relates to the technical field of boring tools, and discloses a shockproof and noise-reducing boring tool which comprises a tool body and a tool bit seat, a damping structure is arranged in the tool body, a mounting clamping groove is formed in the surface of the tool bit seat, and a blade is movably clamped in the mounting clamping groove. According to the tool, through the damping structure and the assembling assembly, reliable positioning and locking of the tool bit seat and the tool body are achieved through cooperation of a positioning clamping hole and a telescopic clamping pin, and after an assembling bolt is screwed into a connecting threaded groove through a connecting screw hole, the tool body and the tool bit seat are firmly connected and assembled; shock-proof damping oil and a buffering seat supported by a buffering spring are arranged in the damping cavity, vibration energy from the tool bit seat can be directly borne and absorbed, the vibration energy is converted into elastic potential energy of the spring through deformation, the buffering and damping effects are achieved, the vibration amplitude of the buffering seat is reduced through the damping effect, the vibration energy is further consumed, and the damping effect is enhanced.

The invention provides a tendon-driven mechanical arm flexible vibration control method based on a hybrid optimization strategy. The tendon-driven mechanical arm flexible vibration control method comprises the steps that a dynamic model of a tendon-driven mechanical arm is established; constructing a trajectory optimization model for suppressing residual vibration; solving the trajectory optimization model for suppressing residual vibration by using a hybrid particle swarm optimization strategy, and obtaining an expected trajectory; and designing a sliding mode controller based on an RBF neural network to actively track the trajectory so as to suppress residual vibration. According to the invention, a hybrid particle swarm optimization algorithm is adopted to optimize a motion trajectory, so that residual vibration is reduced, an expected trajectory for trajectory tracking is obtained, active control is combined to further suppress the residual vibration, and the tail end vibration amplitude is reduced by more than 50%; the self-adaptive neural network all-drive system control method is designed by combining the RBF neural network, so that the tail end vibration is further inhibited while the mechanical arm completes trajectory tracking, and the tracking error is smaller than 0.5 degree.

The invention provides a double-constraint radial transduction ultrasonic motor, which comprises an annular rotor and a plurality of stators distributed in the annular rotor in an annular array, and is characterized in that each stator comprises a metal elastomer, a left fixing hole, a right fixing hole, a left piezoelectric ceramic, a right piezoelectric ceramic and an elastic blade group for forming pre-pressure on the annular rotor, the working vibration mode of the stator is first-order standing wave type bending vibration, the left fixing hole and the right fixing hole are formed in the metal elastic body and are formed in the two wave node positions of the first-order standing wave type bending vibration respectively, namely, the amplitude is zero during vibration, and the elastic blade set comprises a left-end elastic blade, a middle elastic blade and a right-end elastic blade. The vibration asymmetry of the metal elastomer can be effectively improved, the structural rigidity of the motor can be improved, the output torque of the motor can be improved, the energy transmission efficiency and the driving capacity can be improved, and the overall performance of the motor can be remarkably improved.

The invention discloses a fan blade vibration stress calculation method and device, electronic equipment and a storage medium, and the method comprises the steps: S1, determining a point where the blade tip circumferential vibration displacement, which can be excited by an excitation source, of a blade in each-order mode is determined to be greater than a preset value within a working rotation speed range through finite element analysis, and determining a final blade tip amplitude measurement point; and S2, calculating the vibration stress of the fan blade in each order mode under each working condition according to the displacement of the blade tip amplitude measuring point in each order mode, the position of the blade measured by the final blade tip amplitude measuring point in a static state, and the relationship between the displacement of each measuring point in each order mode and the vibration stress in the corresponding order mode. According to the invention, fewer final blade tip amplitude measurement points can be selected to realize blade tip amplitude measurement, so that the test frequency and period are greatly reduced; meanwhile, the deformation of the blade under the static load is considered, and the displacement change of the measuring point caused by the deformation of the blade is avoided, so that the error of the vibration stress of the fan blade in each modal under each working condition obtained by conversion is smaller and more accurate.

The invention discloses a fast and accurate identification method for counter-rotating double-rotor unbalanced coupling vibration of a paddle fan engine. An unbalanced coupling signal separation method based on double-rotor micro-speed-difference waveform envelope is combined with an automatic balancing technology. Based on the characteristic of vibration coupling of inner and outer rotors of a micro-speed-difference double-rotor system, a vibration signal shows a beat vibration phenomenon. By extracting beat peak and beat valley characteristics of beat vibration signals, unbalanced vibration amplitudes and phase information of the inner rotor and the outer rotor are separated. And optimizing the separated vibration signals by adopting an unbalanced coupling signal separation method based on birotor parameter modeling and data fitting to obtain high-precision amplitude and phase parameters, and taking the high-precision amplitude and phase parameters as input parameters of an automatic balance control system. And combining a trial mass method and an influence coefficient method to calculate the unbalance magnitude and position of the inner and outer rotors. And finally, the automatic balance controller drives a counterweight disc in the actuator to move to a target position, the unbalance amount of the rotor system is counteracted, and dynamic balance of the system is achieved.

The invention belongs to the technical field of rail transit equipment, and provides a vibration damping device for rail transit, which comprises a vibration damping seat, the top of the vibration damping seat is vertically connected with a rail in a sliding manner, and a bearing vibration damping assembly is arranged between the rail and the vibration damping seat; the two sets of main vibration reduction assemblies are arranged on the two sides of the rail correspondingly, each main vibration reduction assembly comprises an eccentric block arranged in a vibration reduction base, a rotary driving mechanism is arranged between the eccentric block and the bearing vibration reduction assembly, and the rotary driving mechanism drives the eccentric block to swing in a reciprocating mode when the rail vibrates up and down; the hydraulic vibration reduction mechanism is in transmission connection with the rotary driving mechanism, a secondary vibration reduction part is arranged in the hydraulic vibration reduction mechanism and corresponds to the eccentric block, and when the amplitude of the track is too large, the eccentric block abuts against the secondary vibration reduction part to increase damping of the hydraulic vibration reduction mechanism. The damping device can adapt to different vibration intensities, can automatically enhance damping force under the large-amplitude working condition, and provides a better vibration reduction effect.

The invention discloses a wide-caliber heavy-film ultrasonic self-adaptive sealing device and a control system, and relates to the technical field of ultrasonic sealing devices, and the wide-caliber heavy-film ultrasonic self-adaptive sealing device comprises an ultrasonic sealing device transmission module, a wide-caliber ultrasonic sealing module, a reconfigurable bottom film module, a supporting mounting plate and a sealing control system. The ultrasonic sealing device transmission module is responsible for moving the wide-caliber ultrasonic sealing module back and forth, and feeding, sealing and retracting of the device are achieved; an ultrasonic generating device in the wide-caliber ultrasonic sealing module is responsible for generating ultrasonic waves, meanwhile, the ultrasonic amplitude is expanded through an ultrasonic amplification rod, ultrasonic energy is transmitted to an ultrasonic sealing cutter, and an ultrasonic amplitude-change rod changes concentrated ultrasonic energy transmitted by the ultrasonic amplification rod; the ultrasonic sealing device is used for dispersing the amplitude of ultrasonic waves generated in a concentrated mode, so that mechanical vibration generated by the ultrasonic waves is more evenly distributed at the knife edge of the ultrasonic sealing knife, the ultrasonic sealing range is enlarged, and a wider bag opening can be effectively sealed.

The invention discloses a distributed optical fiber acoustic sensing highway abnormal vibration real-time early warning system, and relates to the technical field of highway monitoring. A vibration analysis and mechanism triggering module calculates the speed of vibration amplitude changing along with time, if the change speed exceeds a set threshold value, abnormal fluctuation is marked, the maximum deviation and the minimum deviation of a vibration signal are calculated, and the maximum deviation and the minimum deviation of the vibration signal are calculated; if the deviation values exceed a preset range, an early warning program is started, an early warning strategy output module constructs a material flow state stability index based on the speed of the vibration amplitude changing along with time, creates a construction area uniformity index in combination with a vibration propagation track, analyzes the coordination degree between the vibration behavior and the road construction state according to a regulation and control coordination coefficient, and outputs early warning information. And a corresponding vibration early warning strategy is generated based on the analysis result. The early warning system realizes accurate and operable abnormal vibration real-time early warning through distributed optical fiber sensing, dynamic feature extraction, multi-dimensional index construction and intelligent model analysis.

The invention relates to the technical field of intelligent travel, in particular to a blind person positioning and yaw early warning device, system and method based on optical fiber vibration signals. Firstly, an optical fiber sensor network is laid in a hospital, vibration signals generated when the blind walk are obtained in real time, and step frequency, direction and vibration amplitude behavior data are obtained. Secondly, constructing a hospital space structure network, and determining an optimal path of the blind person from the current position to a target department through a path planning unit; and then positioning the position of the blind person in real time through a multi-sensor data fusion technology in combination with a blind person behavior data set and hospital space structure information. And finally, obtaining yaw information by calculating the yaw angle between the actual advancing path of the blind person and the standard path. And when the yaw angle exceeds a preset threshold value, the safety early warning unit sends out a correction prompt. Meanwhile, the device can dynamically adjust the path of the blind and give an early warning in advance according to temporary crowded areas or emergency situations occurring in hospitals, and walking safety is ensured.