644 results about "Vibration measurement" patented technology

The invention relates to the technical field of mechanical vibration testing, in particular to a method for testing dynamic rigidity and damping characteristics of an engine support, which comprises the following steps of: 1, simulating a boundary; step 2, double-source excitation loading is carried out; step 3, dynamic response acquisition: arranging vibration measurement points in the main shaft direction of the rigidity of the support to acquire acceleration signals in three directions, synchronously acquiring excitation force signals, and recording all the signals at a set sampling rate after anti-aliasing filtering; 4, constructing a frequency response matrix: performing time-frequency transformation on the exciting force signal and the acceleration signal, and calculating a cross-point frequency response function matrix; 5, parameter decoupling calculation is carried out, wherein parameter decoupling is achieved through cross iterative optimization; and 6, outputting parameters. Through the decoupling calculation of the low frequency band and the high frequency band, the cross iteration optimization method can effectively reduce the calculation error, improves the parameter decoupling precision, and guarantees the reliability of the test result under different frequency bands.

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 relates to the technical field of control and adjustment, in particular to a steam turbine fault diagnosis system based on multi-parameter fusion monitoring, which is characterized in that a quantum hybrid sensing module is used for establishing a picosecond-level space-time reference through entangled photon pair distribution, and unifying a time sequence label of multi-source heterogeneous data; the hypergraph feature extraction module loads the coefficient to a vibration measurement point vertex attribute channel, dynamically calculates a heat conduction hyperedge weight according to a rotor eccentricity inversion value, aggregates temperature field, vibration spectrum and magnetic domain features in a space-time hypergraph which retains physical topology, outputs a cross-scale aligned fusion feature tensor, and outputs a vibration measurement point vertex attribute channel; generating a diagnosis feature vector to drive a multi-scale twin experience certificate; and the federation decision module triggers a load reduction instruction according to the microscopic crack cloud picture to inhibit thermal stress sudden change, and meanwhile, the feature representation precision is improved through cloud federation optimization hyperedge weight parameters. According to the method, the problem of characterization distortion caused by time sequence asynchronization and scale mismatch of heat and machine coupling data is solved.

The invention discloses a vibration displacement measurement method and system based on multi-source data fusion, and belongs to the technical field of vibration measurement. The vibration displacement measurement method based on multi-source data fusion comprises the following steps: acquiring motion sequence images of an elastic tube and a rigid tube through a high-speed camera, and acquiring a vibration acceleration signal of the elastic tube through an acceleration sensor; displacement tracks, obtained by the high-speed camera, of the elastic tube and the rigid tube are extracted, and a flow-induced vibration displacement time travel curve of the elastic tube is separated; performing frequency domain analysis on the displacement track data, and determining frequency bands of the rigid tube and the elastic tube; carrying out band-pass filtering on signals of the acceleration sensor based on a frequency band of flow-induced vibration, and compensating an error of an integral trend term of the acceleration sensor by utilizing time domain displacement data of the rigid tube; and carrying out secondary integration on the filtered acceleration sensor signal, and outputting corrected displacement information. By adopting the vibration displacement measurement method and measurement system based on multi-source data fusion, the problem that effective unification of measurement precision and engineering applicability cannot be realized by an existing vibration measurement method can be solved.

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 present invention discloses a method and device for simultaneously measuring the bending vibration and torsional vibration of a rotating machinery shaft. The gear disk is installed on the shaft to be measured, and the gear disk is driven to rotate by the shaft to be measured. An alternating voltage signal is output by the eddy current sensor and converted into a digital signal by the software part, so as to obtain the original vibration signal. The maximum value finding method is used twice to extract the bending vibration and torsional vibration of the shaft. Through the above method, the simultaneous measurement of the torsional vibration and bending vibration of the shaft can be realized. The same set of sensors and instruments are used for the two types of vibration measurements, and the cost is relatively low.

The invention discloses a robot vision external parameter calibration method based on blind deblurring and natural vibration measurement, and the method comprises the steps: collecting a continuous image sequence in a vibration environment through a high-frame-rate camera, extracting pixel-level motion information in combination with an advanced image deblurring deep network and an optical flow feature tracking technology, and carrying out the self-vibration measurement. And further restoring a three-dimensional displacement signal caused by natural vibration of the camera based on a pinhole imaging model, and obtaining ideal position information through frequency domain analysis to realize high-precision visual system external parameter calibration under a vibration condition.

The invention discloses a blasting vibration test-based rock mass wave velocity field measurement method, which is applied to a blasting operation area, is consistent with a tunnel blasting propulsion direction, does not need to independently open up a test area, and can obtain rock mass vibration data of a measurement point corresponding to a vibration measurement instrument after blasting only by arranging the vibration measurement instrument on an excavated tunnel bottom plate. According to the method, the rock mass average wave velocity can be rapidly and accurately calculated by combining the pre-measured error time of the vibration measurement instrument, the limitation of the arrangement distance of the vibration measurement instrument is broken through, the measurement range is remarkably expanded, the cost and difficulty of rock mass wave velocity measurement are effectively reduced, wave velocity measurement is completed under the condition that the original property of the rock mass is kept, and the rock mass average wave velocity is calculated. The actual rock mass condition of the blasting construction area is fed back in time, high adaptability to different rock mass properties is achieved, a scientific basis is provided for engineering design and construction, and safety and efficiency of construction are guaranteed.

The invention discloses a feature matching-based visual vibration measurement method for an unmarked low-texture structure, and the method comprises the steps: measuring a vibration video sequence of a target structure through employing a trained visual vibration measurement model, and obtaining a vibration measurement result; according to the visual vibration measurement model, firstly, a vibration video sequence of a target structure is input into a double-branch feature extraction module, an enhanced multi-scale feature map is extracted, global spatial position modeling and cross-frame alignment are carried out through a feature enhancement module, an enhanced low-resolution feature map is output, and then the visual vibration measurement model is obtained. The dual-stage matching optimization module generates rough matching point pairs through bidirectional Softmax and mutual nearest neighbor screening, and realizes sub-pixel-level fine matching by using differentiable expected value regression; and finally, the displacement conversion module converts the pixel coordinates into physical displacement through a calibration scale factor so as to output a vibration measurement result. According to the invention, the technical problems of low matching precision and poor environment robustness caused by lack of significant features in vibration measurement of an unmarked low-texture structure are solved.

The invention belongs to a drilling operation tool, and particularly relates to a rock breaking drilling simulation experiment bench of a drilling tool system. The rock breaking drilling simulation experiment bench of the drilling tool system is mainly composed of a main frame, a bottom frame, a hydraulic cylinder, a power module, a vibration measurement module and a bit pressure-torque measurement module. A certain drilling tool combination can be selected to perform a drilling experiment on a certain rock, a single-drill-bit rock breaking or / and while-drilling reaming rock breaking drilling operation experiment can be realized, and drilling pressure, rotating speed, torque and drilling tool and drill bit vibration and motion trail parameters are acquired in a multi-point manner; the experiment bench is provided with a hydraulic lifting device, so that conditions of a horizontal well, a vertical well, an inclined well and the like can be simulated. According to the invention, different drilling operation modes such as simulation of a horizontal well, a vertical well and different types of boreholes with different inclination angles, single-drill-bit drilling and reaming while drilling can be realized, the universality of the experiment bench is improved, and diversified and perfect experiment conditions are provided for related research.

The invention relates to the technical field of intelligent detection, and discloses a single-point laser Doppler-based explosion-proof shell pressure resistance dynamic detection method and system, and the method comprises the steps: building a detection system through arranging a plurality of laser Doppler vibration meters and a data collection system, and enabling the detection system to be used for the pressure resistance dynamic detection of an explosion-proof shell; analyzing the structure of the explosion-proof shell, outputting a finite element analysis result, determining a key area needing to be measured, and setting a plurality of measurement points based on the key area; carrying out single-point acquisition on each pre-selected measuring point in sequence, during each acquisition, carrying out a withstand voltage test on the explosion-proof shell through withstand voltage test equipment, and detecting the measuring points through a laser Doppler vibration meter to generate vibration data; and the data acquisition system records vibration data of each measurement point. According to the invention, through the single-point laser Doppler vibration measurement technology, the measurement requirements of the dynamic parameters of the explosion-proof shell can be met.

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 discloses a platform micro-vibration measurement method based on a laser inter-satellite link, which can be applied to measurement of in-orbit satellite platform micro-vibration and has the advantages of no occupation of satellite resources and simple system structure compared with a traditional mode of adopting an accelerometer for measurement. By accurately analyzing the spectrum characteristics of the micro-vibration, the source of the micro-vibration can be determined and the micro-vibration can be compensated, so that the communication reliability is improved. The platform micro-vibration measurement method based on the laser inter-satellite link comprises the following steps: 1) determining a laser terminal conversion relation according to the architecture of a laser terminal light beam pointing mechanism; 2) eliminating an environment measurement error, and fitting and eliminating a platform motion track; and 3) micro-vibration characteristic parameters are extracted.

The invention discloses a binocular camera global ultra-sensitive depth direction vibration measurement method, and relates to the technical field of structural vibration measurement. The method comprises the following steps: completing internal reference and external reference calibration of a binocular camera based on a Zhang's calibration algorithm, and ensuring the three-dimensional reconstruction precision; in image processing, effective pixels with high dynamic response are screened by calculating pixel intensity time-history variance, a pixel intensity space-time matrix is constructed, and singular value decomposition is adopted to extract front k-order modals to reconstruct the pixel intensity matrix so as to reveal real signals originally submerged in imaging noise and rounding errors. And multi-direction cost aggregation is carried out by using a semi-global matching algorithm, the parallax calculation robustness in a low-contrast scene is improved, and a high-precision depth map is generated. And depth information is converted into three-dimensional space information in combination with camera parameters, so that non-contact measurement of the vibration time travel curve in the full-field depth direction is realized.

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 discloses a rotating blade vibration measurement method based on vision, and relates to the technical field of measurement. In order to solve the technical defect that circumferential and radial vibration displacements of a blade cannot be simultaneously and synchronously obtained in a high-speed rotating state in the prior art, the technical scheme provided by the invention is as follows: calculating the time when the blade reaches a preset measurement position based on a non-contact sensor, and respectively triggering a high-speed camera to collect circumferential and radial original images; the method comprises the following steps: performing micro motion amplification processing on an image, tracking pixel movement by using a sparse optical flow algorithm and converting the pixel movement into vibration displacement, and finally performing time domain and frequency domain feature extraction on circumferential and radial vibration data to obtain vibration feature parameters. The method is suitable for online vibration monitoring and analysis work of rotating blades of wind driven generators or aero-engines and the like under the condition of high-speed rotation.

The invention discloses a multi-medium sound field control system based on an AI algorithm, which belongs to the field of intelligence and comprises a data acquisition module, a sound field modeling module, an AI optimization control module, a self-adaptive adjustment module, a hardware execution module and the like. The data acquisition module is used for sampling and acquiring acoustic signals in air, water and a solid medium; the sound field modeling module is combined with a finite difference time domain method and a graph neural network to accurately simulate sound wave propagation; the AI optimization control module fuses near-end strategy optimization and a differential evolution algorithm to generate an optimal excitation parameter; the adaptive adjustment module is based on a model migration and contrast learning mechanism; the hardware execution module generates a controllable sound field by using a piezoelectric transducer array; and the feedback evaluation module passes back measurement data through laser vibration measurement and a microphone array to realize closed-loop correction of control parameters. The method has the advantages that high-precision sound wave modeling, intelligent control parameter optimization and dynamic self-adaptive adjustment capacity are achieved, and the real-time performance, stability and the like of sound field control in the multi-medium environment are improved.

The invention discloses a vibration measurement information enhancement method based on fusion data, and relates to the technical field of vibration measurement information enhancement. Edge nodes splice reasoning probability, frozen layer activation statistics, weak spectrum gradient direction and frozen layer gradient variance to generate a multi-source confidence tensor, and a heat peak list is formed through adaptive time-frequency kernel mapping; the information is uploaded after being subjected to redundancy elimination screening; a central node distributes domain credibility to each domain and then constructs a global heat map by adopting self-attention weight fusion heat peaks, and links hierarchy, frequency bands, links and working condition nodes in a mechanism attribution map network to calculate a causal path; and an attribution result triggers a strategy rule engine to select a corresponding maintenance script or a network self-checking instruction, and the maintenance script or the network self-checking instruction is pushed to a monitoring large screen, a mobile terminal and a mail in a unified message packet format along with a global heat map and a reason link, so that display and explanation of weak fault abnormity and operation and maintenance instruction closed loop are completed.

The invention relates to the technical field of high-voltage tests of electrical equipment, and provides a transformer vibration measuring point selection method based on data consistency, which comprises the following steps of: uniformly arranging measuring points on the surface of a transformer box body, acquiring vibration signals, and calculating a distance matrix between the measuring points to quantify the similarity or difference of the vibration signals; and the data is converted into a support matrix to reflect the support degree between the measuring points. Furthermore, by calculating the support score of each measuring point, the measuring points with high sensitivity to fault diagnosis are screened out, and the layout of the measuring points is optimized. Compared with a traditional method, the diagnosis accuracy of the method is improved, meanwhile, the number of measuring points is reduced, and the complexity and cost of a monitoring system are remarkably reduced. The method is suitable for transformers with different voltage grades and operation conditions, and the adaptability of the monitoring system is enhanced. The accuracy, reliability and economical efficiency of transformer vibration monitoring are effectively improved, a powerful guarantee is provided for stable operation of a power system, and remarkable technical, social and economic benefits are achieved.

The invention provides an equipment vibration measurement device based on machine vision and a laser radar. The equipment vibration measurement device comprises a collaborative sensing system, a visual vibration inversion module, a multi-modal feature fusion and fault knowledge base module and an edge end lightweight intelligent diagnosis module. The collaborative sensing system is used for collecting a video stream of a target area and providing an absolute displacement reference; the visual vibration inversion module is used for processing the video stream to generate a vibration spectrogram; the multi-modal feature fusion and fault knowledge base module is used for constructing a multi-dimensional feature vector and a feature knowledge base; and the edge end lightweight intelligent diagnosis module is used for identifying a fault type and outputting a diagnosis result and confidence. According to the invention, non-contact, high-precision and full-automatic vibration state sensing and fault diagnosis are realized, the core target is to completely get rid of the dependence on a contact sensor, the limitation of a pure vision scheme in a complex industrial environment is overcome, and finally millisecond-level real-time fault identification and early warning are realized on the edge side with limited resources.

A method for determining variables influencing a total zero point error of a Coriolis mass flow meter comprises: exciting a vibration of a bending vibration mode; measuring a first total zero point error T at a flow of zero; ascertaining a first damping value D of the vibration of the bending vibration mode; measuring an exciter-independent zero point error I during a decaying vibration of the bending vibration mode at a flow of zero; ascertaining a first exciter-dependent contribution E to the first total zero point error T based on the first total zero point error T and based on the exciter-independent zero point error I; and ascertaining a sensitivity factor S for the bending vibration mode based on the first exciter-dependent contribution E to the total zero point error T and based on the first damping value D.

Systems and methods for predicting anomalies in a wheel system of a semi-trailer truck. One example system includes: a vibration sensor positioned to sense vibrations of the wheel system and an electronic processor communicatively coupled to the vibration sensor. The electronic processor is configured to determine a velocity profile of the semi-trailer truck; obtain a vibration measurement; determine, from the vibration measurement, a classified vibration level; determine whether the classified vibration level is indicative of an anomaly; identify, based on whether the classified vibration level is indicative of the anomaly and both the velocity profile and a reference classified vibration level, an anomaly existing within either or both of the semi-trailer truck wheel system or the road; and perform a mitigation action in response to identifying the anomaly.

The invention discloses a dynamic calibration device and method for a visual vibration measurement system, the device comprises a dynamic standard vibration source, a calibration target, a laser Doppler interferometer, a data processing unit and a control unit, the dynamic standard vibration source outputs steady state, transient state and random vibration signals, the calibration target is fixed at the vibration output end of the dynamic standard vibration source, and the laser Doppler interferometer is fixed at the vibration output end of the dynamic standard vibration source. An acquisition target is provided for a calibration process; the calibrated visual vibration measurement system collects a dynamic image to obtain a vibration measurement parameter, and the laser Doppler interferometer synchronously obtains a standard vibration dynamic parameter; the data processing unit receives the dynamic vibration measurement parameters and the dynamic standard vibration parameters, and quantifies dynamic amplitude deviation, frequency tracking delay and phase difference; and the control unit generates calibration parameters of the calibrated visual vibration measurement system according to the type of the dynamic error under the condition that the dynamic error exceeds an error threshold value. According to the invention, quantitative evaluation and automatic calibration of the dynamic error can be realized, and the calibration precision and efficiency are improved.

To provide an electronic device capable of accurately detecting vibration of a vibrating object through transmission and reception of waves, a method of controlling the same, and a program.SOLUTION: A method of controlling an electronic device for measuring vibration of a target object based on an electromagnetic wave reflected from the target object using calibration information stored in a calibration coefficient memory is provided, the method comprising a calibration step of calibrating a measurement result of the electronic device on the basis of a result of vibration measurement of a reference vibrating body.SELECTED DRAWING: Figure 2

The invention relates to a cylindrical shell structure vibration measuring point optimizing and monitoring method, device, equipment and medium, and relates to the technical field of cylindrical shell structure monitoring. The method comprises the steps that a simulation model of a cylindrical shell structure is established, and a plurality of response points are arranged on the surface of a shell; then constructing a modal shape matrix; calculating a contribution matrix based on the modal shape matrix, and calculating an acceleration response matrix; the vibration amplitude of each response point under the fault correlation frequency is extracted, and a fault acceleration response matrix is obtained through normalization processing; constructing a comprehensive vibration energy index based on the acceleration response matrix and the fault acceleration response matrix; carrying out weighted fusion on the contribution matrix and the comprehensive vibration energy index, and constructing a multi-target game model; solving based on a modal observability index and a vibration characterization capability index to obtain an optimal weight; and determining an optimal sensor arrangement scheme of the cylindrical shell structure based on the optimal weight. According to the invention, multiple monitoring targets can be met cooperatively.

The invention relates to the technical field of measuring devices, in particular to an online densitometer, the bottom of a control body is fixedly connected with a connection control component, the bottom of the connection control component is fixedly connected with a measuring tuning fork, and the outer side of the measuring tuning fork is movably sleeved with two cleaning scraping rings; three mounting holes are formed in the ends of the two cleaning scraping rings, scraping ring springs are fixedly connected into the mounting holes, connecting protection blocks are fixedly connected between the scraping ring springs in the adjacent mounting holes of the two cleaning scraping rings, and the connecting protection blocks are slidably clamped into the mounting holes. The online densimeter has the advantages of being simple in structure, convenient to operate, capable of being cleaned and high in measurement accuracy, adhering substances on the measurement surface can be effectively removed through the scraping and vibrating mechanism, the accuracy of the measurement result is guaranteed, meanwhile, the design of the online densimeter considers the requirement of vibration measurement, and it is guaranteed that vibration measurement is not interfered after cleaning.

The invention relates to a measuring point deployment and fault diagnosis method for cooperative monitoring of multiple components of an electric shovel. According to the method, firstly, a key vibration measurement surface is selected through kinetic analysis, the optimal measurement point deployment position is selected based on the effective vibration information proportion and the relative effective information amount, and the scheme reasonability is evaluated through information entropy. Then, vibration measuring points are installed on key components such as a driving motor, a disc brake and a reduction gearbox, the vibration state of the system is comprehensively obtained, and a single fault feature extractor is further constructed; then, a system-level fault diagnosis model is constructed, the model comprises a single fault feature extractor, a component space relation graph, a classifier and the like, and cooperative fault diagnosis of the key components of the electric shovel lifting mechanism transmission system is achieved through the training model. According to the method, the accuracy and comprehensiveness of fault diagnosis are improved, the downtime and maintenance cost caused by faults are reduced, effective technical support is provided for safe operation of mining machinery, and the method has important practical application value.

The invention discloses an ultrasonic welding quality online detection system and method, and belongs to the technical field of laser non-contact measurement. According to the invention, the laser vibration measurement probe is rigidly coupled to the welding head to construct a follow-up-common-optical-path measurement unit, so that synchronous acquisition of vibration signals with zero mass loading is realized; further extracting an attenuation section after welding is finished from the signal, and inverting an equivalent modal damping ratio representing an interface energy dissipation state based on an exponential attenuation model; meanwhile, multi-dimensional physical indexes such as an energy transfer efficiency index Itrans and an input stability index Iin are calculated, and in combination with an energy absorption state index, collaborative fusion is carried out through a weighted fusion formula to obtain a comprehensive quality score; and finally, realizing quality attenuation early warning based on time sequence trend analysis of a scoring sequence. On-line sensing of the deep dynamic state in the welding process is achieved, the early defect recognition sensitivity and the system anti-interference capacity are remarkably improved, and the predictive maintenance capacity of quality degradation is achieved.

The invention discloses an acoustic excitation digital modulation noise reduction method and system for laser acoustic vibration detection and application. Comprising the following steps: step 1, acquiring single-point measurement time sequence parameters of laser vibration measurement equipment, step 2, measuring response characteristics of an audio excitation device, and determining pre-stabilization time required by an audio excitation signal from starting to reaching a stable amplitude; step 3, constructing an on-off keying modulation function, generating a digital gating function according to the time sequence parameter and the pre-stabilization time, and performing time domain multiplication on the audio excitation signal and the digital gating function to generate a modulated intermittent audio excitation signal; and 4, controlling the audio excitation device to play intermittent audio excitation signals, and synchronously triggering the laser vibration measurement equipment to scan and collect the measurement points on the surface of the object to be measured according to the time sequence parameters. Through the on-off keying digital modulation technology, audio excitation can be started only in the effective detection time period of laser vibration measurement, and therefore the average noise level and equipment power consumption are remarkably reduced.

The invention belongs to the technical field of nuclear power, and particularly relates to a nuclear power plant vibration measurement method and device based on a dynamic range technology. Comprising the following steps: sampling vibration signals after gain amplification by using a plurality of analog-to-digital converters with different measuring ranges to obtain an initial digital sequence; the initial digital sequence comprises a signal amplitude; performing amplitude region division on the initial digital sequence according to the magnitude of the signal amplitude to obtain a plurality of signal segments in different amplitude regions, and endowing the analog-to-digital converter with a target weight according to the saturation of the signal segments in the measuring range of each analog-to-digital converter; the saturation is the ratio of the signal amplitude to the upper limit of the measuring range of the analog-to-digital converter; the target weight comprises sub-weights respectively corresponding to a plurality of different signal segments of the analog-to-digital converter; and performing weighted fusion and splicing on the signal segments based on the sub-weights of the analog-to-digital converters in the different signal segments to obtain a target sampling signal.