964 results about "Vibration source" patented technology

According to the floating slab ballast bed sealing strip defect detection method and system based on the multi-modal data, efficient and accurate detection of floating slab ballast bed sealing strip defects is achieved through a multi-modal data fusion technology. The system integrates a linear array camera, an acceleration sensor, a pressure sensor and a controllable vibration source, a multi-dimensional data acquisition system is constructed, and the limitation of a single detection means is effectively overcome. Through collaborative analysis of image data and vibration and pressure data, the accuracy and robustness of defect recognition are remarkably improved. According to the defect evaluation model based on the CNN-LSTM hybrid architecture, implicit features in multi-modal data can be deeply mined, and the defect confidence is accurately quantified. Meanwhile, by combining the preset characteristic parameter threshold value and the classification model, intelligent classification of the deformation defect and the foreign matter defect is realized, and a clear basis is provided for subsequent maintenance.

The invention discloses a signal reconstruction denoising method for circuit breaker mechanical state evaluation and a storage medium. In order to solve the problems of multi-source signal aliasing and strong noise interference of the double-break vacuum circuit breaker, a technical route combining mechanical transfer function modeling and a double-flow deep network is innovatively adopted. A complex vibration source is analyzed by constructing a signal coupling model, environmental noise is accurately filtered by using a multi-stage noise reduction strategy, and a multi-dimensional state vector is constructed by fusing time-frequency domain features, so that accurate evaluation of the health state of the equipment is realized. Experiments show that the method is remarkably superior to the prior art in signal denoising, feature extraction precision and diagnosis accuracy, and an efficient solution is provided for intelligent operation and maintenance of power equipment.

The invention relates to the technical field of production line monitoring control, in particular to a monitoring control method and system for an automatic production line. According to the technical scheme, the pulse laser is transmitted to the monitoring optical cable of the battery production line, and the feedback scattering signal is received; performing time-frequency analysis, space-time array analysis and frequency-domain space array analysis on the scattered signals to obtain multi-dimensional vibration information of each operation device of the battery production line; the multi-dimensional vibration information comprises the vibration main frequency of the operation equipment and the vibration source position and the energy spectrum density of the bearing area to which the operation equipment belongs, so that the actual operation state of each operation equipment during execution of the current production task can be determined based on the multi-dimensional vibration information of each operation equipment and the progress information of the corresponding production task; and performing interlocking operation control on the production takt of the battery production line according to the actual operation state of each operation device. According to the technical scheme, the stability of production control of a battery production line and the consistency of battery product quality are improved.

The invention discloses a pump set vibration monitoring method and system based on distributed sensing. The method comprises the steps that vibration collection signals and real-time working condition parameters of distributed sensing nodes are obtained, multi-node clock synchronization correction is executed, and synchronous vibration data frames are formed; time-frequency feature extraction is carried out on the multi-channel vibration data set, abnormal channels are identified through inter-channel consistency analysis, a local fault correlation frequency band is extracted, and a vibration feature vector is constructed; associating the vibration feature vector with a real-time working condition parameter to form a working condition-feature mapping table, identifying a feature mutation rotating speed point for the feature baseline, adaptively dividing a rotating speed interval to generate an adaptive working condition threshold value, and implementing out-of-limit detection to generate an abnormal trigger identifier; determining a traceability analysis window based on the abnormal trigger identifier, and executing multi-measuring-point coherence calculation and energy attenuation gradient analysis to construct an energy transfer link diagram; and finally, vibration source position positioning is performed to form fault source probability distribution, a fault mode label is matched, pump set vibration monitoring is completed, and quantitative positioning of a fault source is realized.

The invention discloses a system for enhancing the damping and aseismic capacities of an underground integrated pipe rack. It includes a pipe fixing assembly installed on the inner walls of the underground space on both sides. The assembly comprises multiple lifting frames arranged vertically and a lifting mechanism. The telescopic end of the lifting mechanism is fixedly connected to the lowermost lifting frame. One side of the lifting frame is slidingly connected to the inner wall of the underground space and features a recess for placing the pipe. A pipe holder inside the recess secures the pipe. During vibrations, the lifting frame slides on the inner wall, causing relative movement between adjacent pipe holders. The vibration is absorbed by the telescopic spring, preventing hard contact between the pipe and the vibration source. This reduces vibration and protects the pipe, thereby enhancing the aseismic capacity of the underground pipe rack.

The invention provides an adjustable damping capsule vibration isolation system based on electrorheological fluid, and belongs to the field of vibration isolation devices.The adjustable damping capsule vibration isolation system comprises a vibration isolation capsule, the vibration isolation capsule is filled with the electrorheological fluid, and the electrorheological fluid comprises solid particles; a pneumatic pump; a conduit; at least part of solid particles in the electrorheological fluid move to the guide pipe under the action of gravity; the pneumatic pump is configured to pump gas into the guide pipe based on the target gas flow so as to convey a target number of solid particles in the guide pipe into the vibration isolation bag body to change the concentration of the solid particles in the electrorheological fluid, and the electrorheological fluid is configured to perform vibration isolation treatment on elastic waves of the vibration source by using an electrorheological effect based on the concentration of the solid particles.

The invention relates to the technical field of signal data processing, in particular to an intelligent detection method and system for deformation of a deep foundation pit of a pipe gallery, and the method comprises the steps: collecting a vibration signal and an IMF component signal in each short-time window; acquiring a vibration propagation sequence and a first-stage signal corresponding to each IMF; according to the similarity between the IMF component signals and the corresponding vibration signals, a first-stage correction coefficient is obtained by combining the similarity between the first-stage signals corresponding to the adjacent IMFs; obtaining a second-stage signal and a second-stage correction coefficient corresponding to each IMF according to the vibration propagation sequence and the IMF component signal; signals in the vibration propagation sequence are corrected, and a vibration source signal segment corresponding to each monitoring point is obtained according to a correction result and the similar situation of each vibration signal between IMF component signals in each short-time window; and obtaining a deformation monitoring result of the pipe gallery deep foundation pit. According to the invention, accurate separation and positioning of the independent vibration source are realized.

The invention discloses a mechanical arm regulation and control multi-sensor array underground structure detection system and detection method based on reinforcement learning, a vibration source module provides a sweep frequency vibration signal, a multi-sensor array collects a reflected signal, a data processing module receives and processes the reflected signal, and the data processing module receives and processes the reflected signal; the imaging module generates a three-dimensional underground structure image through a wave velocity inversion and reverse time migration imaging technology, the intelligent optimization and adaptive adjustment module adaptively adjusts vibration source signal parameters and sensor array layout through a reinforcement learning algorithm, and the display terminal displays detection data and imaging results in real time and provides parameter optimization suggestions. According to the invention, real-time and automatic adjustment of vibration source signals and sensor layout is realized through an intelligent optimization and adaptive adjustment module constructed through a reinforcement learning algorithm, and a high-resolution underground structure three-dimensional image is generated accordingly. And an efficient and accurate underground structure identification and positioning scheme can be provided.

The invention discloses a frequency converter maintenance test system with a protection function, which belongs to the technical field of frequency converter testing and comprises a detection seat, a simulation unit for simulating actual working conditions of a frequency conversion control panel is arranged on the detection seat, and a detection mechanism for detecting a diode in the frequency conversion control panel is further arranged on the detection seat. Through dynamic cooperation of the polarization assembly and the rotary simulation disc, the vibration direction of the vibration source can be flexibly adjusted, so that a multi-dimensional vibration scene possibly encountered in actual work of the frequency conversion control panel is covered, and the problem that vibration source simulation is lacked in a traditional frequency converter testing process is solved; an elastic supporting environment of actual installation is simulated through the air bag spring suspension, vibration energy emission distortion caused by rigid fixation is avoided, the accuracy of a large-capacitance vibration fatigue test is improved, automatic step-by-step wiring operation of detection is achieved through cooperation of the detection driving assembly and the universal test meter, and the overall detection wiring efficiency is improved.

An information processing device according to embodiments controls a vibration device including a plurality of vibrators and configured to apply vibration to a user in response to an input signal. The information processing device identifies a directional component of the object constituting a vibration source relative to the vibration device in input content and controls an amplitude and a delay of each of the vibrators, based on the directional component.

The invention provides a distributed optical fiber-based vibration source transverse distance determination method and system, and relates to the technical field of optical fiber sensing, and the method comprises the steps: collecting distributed optical fiber vibration signals, extracting features, constructing a multi-resolution scanning region, carrying out the traversal through employing a global optimization algorithm, and calculating the propagation speed of the vibration signals. According to the method, velocity field distribution characteristics based on Gaussian process regression are constructed, velocity field parameters are optimized in combination with a probability sampling optimization method, the transverse distance of a vibration source is accurately determined through discretization space traversal and anisotropy correction, and the precision and reliability of vibration source positioning are improved.

The invention provides a method and system for inverting metro train wheel out-of-smoothness through tunnel wall vibration source intensity data, and belongs to the technical field of accurate quantitative inversion of train wheel out-of-smoothness, and the method comprises the steps: obtaining actual measurement data of wheel out-of-smoothness, track irregularity and tunnel wall vibration source intensity; on the basis of the probability mapping relation between the out-of-roundness of the wheels and the source strength of the tunnel wall, actually measured source strength data of the tunnel wall are input into a model by utilizing a pre-trained probability machine learning model, so that probability statistics of the out-of-roundness of the train wheels is output, and accurate inversion of the out-of-roundness state of the wheels is realized. According to the method, random excitation of a wheel track system and a dynamic coupling mechanism of a vehicle-track-tunnel-stratum system are considered; meanwhile, wheel out-of-roundness probability statistics of a group of whole-line trains is quantitatively inverted by considering a probability mapping relation between wheel out-of-roundness excitation and tunnel wall source intensity response.

The invention relates to a robot multi-frequency vibration composite suppression method and system based on inertia disturbance analysis. The method comprises the steps of obtaining dynamic operation data in the operation process of a robot; the operation data are input into an inertia disturbance analysis module, and a low-frequency vibration source caused by a mechanical structure and a high-frequency vibration source caused by a driving system can be accurately recognized; a disturbance frequency distribution diagram is generated, according to the distribution diagram, a self-adaptive filtering algorithm is adopted to suppress a high-frequency vibration source, a compensation algorithm based on model prediction control is adopted to suppress a low-frequency vibration source, the two strategies are cooperatively processed to generate a comprehensive control instruction, the advantages of the two algorithms are fully played, and effective composite suppression of multi-frequency vibration is achieved.

The invention provides an active and passive combined type universal vibration isolation base and a vibration suppression method.The vibration isolation base comprises a base shell, a friction wall face, a transverse buffering mechanism, a high-strength elastomer and an axial buffering mechanism, the bottom of the base shell is connected with a vibration source, the friction wall face is installed on the inner wall of the base shell, and the transverse buffering mechanism abuts against the inner wall of the friction wall face; the vibration isolation object is connected to the top of the transverse buffering mechanism, the upper portion of the high-strength elastomer is elastically connected with the bottom of the transverse buffering mechanism, the lower portion of the high-strength elastomer is elastically connected with the top of the axial buffering mechanism, and the bottom of the axial buffering mechanism is connected to the bottom of the base shell. The transverse buffering mechanism and the axial buffering mechanism form a passive damping mechanism, and a magneto-rheological body adjusting structure arranged on the transverse buffering mechanism and a friction damping adjusting structure arranged on the friction wall face form an active adjusting mechanism. Through a passive damping mechanism and an active adjusting mechanism, efficient isolation of full-band vibration and multi-direction vibration can be achieved.

The invention discloses a construction method of an assembly type vibration isolation trench. The method comprises the following steps: firstly, designing and prefabricating a vibration isolation trench unit according to construction site conditions, underground water flow and vibration isolation requirements, including site analysis, size material determination, simulation optimization and quality inspection; before construction, field survey is carried out, topography and geology are covered, underground pipeline detection and vibration source analysis are carried out, the excavation path and depth are determined, and field preparation is made. And then digging a trench by using special equipment according to the design, controlling trench wall parameters and carrying out acceptance inspection. And then gravel and an anti-seepage film are sequentially laid at the bottom of the groove, and a drainage facility is additionally arranged according to needs so as to install a vibration isolation layer. The prefabricated units are lifted, adjusted and connected, then light materials are filled, then fine sand and geotechnical cloth are covered, and soil is recovered. And finally, adjusting and optimizing according to a result through vibration and acoustic testing. According to the method, through multiple layers of vibration isolation materials, firm connecting pieces and strict testing, the vibration isolation effect and stability are remarkably improved, and an effective scheme is provided for engineering vibration isolation.

The invention provides a capsule vibration isolation system based on nanobubbles, and belongs to the field of vibration isolation devices. The capsule vibration isolation system based on the nanobubbles comprises a vibration isolation capsule, the vibration isolation capsule is filled with buffer liquid and solid particles, the nanobubbles are attached to the surfaces of at least part of the solid particles, and bubble attached particles are formed; wherein the bubble attachment particles are configured to collide under the action of elastic waves of the vibration source, so that nano bubbles on the surfaces of the bubble attachment particles are broken, and the bubble attachment particles generate internal energy based on collision friction and bubble breakage to increase energy dissipation of the elastic waves so as to perform vibration isolation treatment on the elastic waves of the vibration source; and the preparation device is configured to prepare the nano bubbles based on a target generation rate under the control of the far infrared control signal, and input the nano bubbles into the vibration isolation bag body through the lower surface of the vibration isolation bag body so as to change the concentration of the bubble attachment particles in the vibration isolation bag body.

The invention relates to the technical field of laser cladding repair, and provides a positioning and clamping system and method for repairing the surface of a large working roll of a steel mill based on laser cladding, a three-field coupling prediction model of a temperature field, a stress field and a displacement field is established, and a partial least squares regression algorithm is combined with a Kalman filter to realize multi-step prospective prediction. According to the predicted thermal deformation, self-adaptive compensation control is implemented through a three-layer cascade compensation mechanism composed of a hydraulic drive, a piezoelectric ceramic driver and a laser head adjusting mechanism. The system adopts a time domain, frequency domain and time-frequency domain joint analysis method to extract vibration characteristics, vibration types are classified and identified through a support vector machine, and an active-passive hybrid suppression strategy is adopted for different vibration sources. High-precision positioning and stable clamping of the large working roller in the laser cladding repairing process are achieved, and the thickness uniformity and the surface quality of a cladding layer are remarkably improved.

The invention provides a network card vibration detection method, device and equipment and a storage medium, and the method comprises the steps: deploying a plurality of groups of three-axis acceleration sensor arrays in different function regions of a network card, and collecting vibration data when the network card is not powered on; after the network card is powered on, the substrate management controller reads vibration data, vibration spectrum characteristics are extracted by using a time-frequency analysis method, and dangerous frequency components are identified in combination with server heat dissipation system characteristics and network card physical parameters; based on the vibration data and the danger frequency component, vibration source positioning and classification are carried out by combining electromagnetic characteristic changes before and after the network card is powered on, and a vibration threat level is determined; and selecting and executing corresponding protection measures according to the vibration source information and the real-time communication state of the network card. According to the method, the problems of a spectrum analysis blind area and vibration source recognition fuzziness are solved, and network card data and communication stability are effectively protected through targeted protection measures.

The invention discloses a PCCP pipeline three-dimensional space positioning online monitoring system based on a distributed optical fiber sound field. The PCCP pipeline three-dimensional space positioning online monitoring system comprises a signal processing module, a DAS system, and a first optical cable, a second optical cable and a third optical cable which are distributed and installed on the inner wall of a PCCP pipeline. The average refractive indexes of the first optical cable, the second optical cable and the third optical cable are consistent, and the phase difference between every two optical cables is 120 degrees; the DAS demodulates to obtain a sound wave signal transmitted by a pipe wall, water or air; the signal processing module obtains a vibration source type according to vibration signal feature analysis, and calculates a longitudinal position of a vibration source based on arrival time of sound wave signals propagated in various paths; and calculating the section position of the vibration source according to the arrival time of the vibration signal transmitted by the pipe wall and received by the optical cable and the section position of the optical cable. According to the method, external invasion and wire breakage of the PCCP can be monitored in real time, and the positions of the external invasion and the wire breakage can be accurately positioned.

The invention relates to the field of optical fiber vibration signal processing, and discloses a vibration signal identification method of an optical fiber vibration sensor in a high-noise environment, which comprises the following steps of: S1, preprocessing an optical fiber vibration signal, eliminating a direct current component, performing amplitude normalization and eliminating redundant correlation; s2, separating the preprocessed signals by using an independent component analysis technology, and extracting independent signals of different vibration sources; s3, performing time alignment on the separated signals by using a dynamic time warping algorithm, and calculating an alignment path distance between the signals; and S4, judging whether the vibration signal is abnormal or not according to comparison between the alignment path distance and a preset threshold value. According to the method, independent component analysis and dynamic time warping technologies are combined, and accurate separation and efficient identification of vibration signals and environmental noise are realized through non-Gaussian optimization and time axis dynamic alignment without depending on prior mark data and a data driving model.

The embodiment of the invention provides a waterfall plot processing method and device and a storage medium. The method comprises the steps of collecting optical fiber signal data; generating an initial waterfall plot according to the optical fiber signal data; enhancing event signals in the initial waterfall plot to obtain an enhanced waterfall plot; oblique line slopes of various vibration characteristics in the enhanced waterfall plot are determined; when the slope of the oblique line is in a speed slope range corresponding to the specific type of engineering machinery in operation, determining that the vibration type of the vibration characteristic corresponding to the slope of the oblique line is low threat; when the slope of the oblique line is not in the speed slope range, determining the vibration type of the vibration characteristic corresponding to the slope of the oblique line according to the slope of the oblique line and a preset threshold value; according to the method, the vibration features of which the vibration categories are low threats in the enhanced waterfall plot are filtered out to obtain a new waterfall plot, the waterfall plot is refined and recognized, the capacity of capturing the vibration features of the engineering machinery of a specific type is enhanced, the vibration categories of the vibration features of other vibration sources are accurately distinguished, and the recognition efficiency and accuracy of the waterfall plot are improved.

The invention relates to a site micro-vibration attenuation test measuring point determination method and system, belongs to the technical field of vibration test, and solves the problem that vibration test measuring point arrangement depends on vibration source load accuracy or artificial experience in the prior art. The method comprises the following steps: determining a basic measuring point based on a target site parameter, obtaining an actual measurement vibration response, and calculating an actual measurement response transfer ratio; establishing an initial finite element model of the target site, and applying a preset load to the initial finite element model to obtain an initial finite element calculation result; according to the basic measuring points, corresponding model calculation points and predicted vibration responses are extracted, and predicted response transfer ratios are calculated; and performing model parameter updating by using the actually measured response transfer ratio and the predicted response transfer ratio, obtaining a basic finite element model, generating a vibration transfer form curve, obtaining vibration transfer characteristics, and determining the number and the positions of the measuring points. The micro-vibration transmission characteristics are accurately determined without depending on the vibration source load, and the number and the positions of the vibration attenuation test points are reasonably formulated.

The invention discloses a spacecraft micro-vibration source separation method and a fault prediction method, and the method comprises the steps: carrying out the feature extraction of micro-vibration data in the in-orbit operation process of a spacecraft, obtaining a feature map, endowing each channel of the feature map with a weight value, obtaining a feature vector, mapping the feature vector into probability distribution, and carrying out the fault prediction of the micro-vibration source. And separation and category matching of micro-vibration sources are realized. Based on the micro-vibration source obtained through separation, faults of a spacecraft single machine and a platform can be further predicted in combination with historical data or telemetering abnormal conditions are proved and analyzed, so that the accuracy and efficiency of spacecraft fault prediction are improved.

The invention provides a self-adaptive pipeline vibration suppression system and method based on multi-mode coupling analysis. The system comprises a sensing module, a vibration analysis module and a control execution module, multiple sensing signals in the vibration process are obtained through measurement of a multi-sensor array, the vibration analysis module comprises a wavelet decomposition feature extraction unit, a prediction network unit and a judgment unit, and the wavelet decomposition feature extraction unit extracts feature data of the multiple sensing signals and sends the feature data to the control execution module; the prediction network unit obtains the probability distribution of various vibration modes according to the characteristic data, the judgment unit determines the dominant vibration frequency according to the probability distribution of various vibration modes, and the fuzzy adaptive unit of the control execution module dynamically distributes the output value of an actuator according to the dominant vibration frequency. And the hybrid execution unit controls the piezoelectric actuator and the magneto-rheological damper to perform hybrid suppression on vibration according to the dynamically distributed output value of the actuator. The system can accurately identify the vibration source, improve the control responsivity, and improve the overall high temperature resistance of the system.

The invention discloses an adaptive control method and system for paying-off tension of a ground wire, particularly relates to the technical field of automatic control, and is used for solving the problem of control misalignment caused by incapability of distinguishing and stripping multi-span coupling vibration interference in an existing tension control method. Firstly, high-frequency fluctuation components are identified by monitoring frequency band energy distribution of tension signals, then state space trajectory similarity and causal network topology of multi-point vibration signals are cooperatively analyzed, and local or global coupling of vibration sources is accurately judged; then, extracting a dominant vibration frequency and a phase difference, and separating a vibration interference component from the original tension signal through a phase compensation adaptive filter according to the dominant vibration frequency and the phase difference; and finally, subtracting the interference component from the original tension to obtain a real tension value for closed-loop adjustment of the output of the tension equipment. Accurate identification and dynamic compensation of vibration interference are achieved, and the control precision of the pay-off tension and the system stability are remarkably improved.

The invention provides a variable scale distance DAS-VSP data processing method, and relates to the field of distributed sound wave sensing data processing. Firstly, a zero well spacing DAS-VSP data set is used for estimating a local optimal scale distance through apparent velocity and bandwidth analysis, so that a single variable scale distance profile based on the local optimal scale distance is defined; afterwards, the same variable gauge length profile is used for processing optical data of all other vibration source positions of the variable well spacing DAS-VSP again, and finally a variable well spacing DAS-VSP profile with higher quality is generated through processing. The overall signal-to-noise ratio can be improved, spectrum distortion is avoided, and subsequent quantitative interpretation is facilitated.

The invention discloses a blower surface treatment method based on an intelligent multi-axis linkage technology, and relates to the technical field of intelligent manufacturing and automatic control. Comprising the following steps: S1, collecting a vibration signal in real time through a multi-source sensor network; s2, preprocessing the vibration signal to obtain a vibration component, and determining a dominant vibration source according to the frequency band energy of the vibration component; s3, generating a dynamic suppression strategy according to the dominant vibration source; and S4, nozzle track deviation is obtained in real time through a laser displacement sensor, and the proportional gain and the integral gain of a PID controller are adjusted. Frequency domain separation is carried out on multi-source coupling vibration signals, a leading vibration source is recognized from the signals, a suppression strategy is dynamically generated, meanwhile, the nozzle track deviation is corrected to be within 0.03 mm in real time through a laser displacement sensor, the problem of misjudgment caused by frequency spectrum aliasing in a traditional method is solved, and the method is suitable for large-scale popularization and application. And the track precision and the coating uniformity of special-shaped curved surface spraying are improved.

A device transfer apparatus is provided. The device transfer apparatus includes a container of a polygonal shape which contains a substrate including device holes, vibration sources which generates vibration and transfers the vibration to a fluid in the container, and a processor which controls outputs of the vibration sources. The vibration sources include first group vibration sources arranged on a circumference of a first circle having a radius of a first distance from a central point, and second group vibration sources arranged on a circumference of a second circle which is concentric with the first circle and has a radius of a second distance that is longer than the first distance. The container is arranged on the central point and contains a fluid and micro devices distributed in the fluid. The processor controls the first group vibration sources and the second group vibration sources to output vibration.

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.

The invention relates to the technical field of rail transit, and discloses a rail transit tunnel surface environment vibration assessment method, system and device and a medium. The method comprises the following steps: constructing a vehicle-rail-fastener dynamic model; calculating a fastener acting force frequency spectrum according to the vehicle-track-fastener dynamic model; constructing a 2.5 D finite element-basic solution solving model of tunnel-surrounding rock; solving the tunnel-surrounding rock 2.5 D finite element-basic solution solving model to obtain basic solution equivalent vibration source intensity; and calculating earth surface vibration according to the fastener acting force frequency spectrum, the basic solution equivalent vibration source intensity and the field layered soil body power transfer matrix model. According to the method, track vibration, tunnel vibration and site vibration are decoupled, the calculation method with the highest calculation efficiency is adopted in each subsystem, the advantages of each modeling method are fully combined, the calculation efficiency is extremely high, the obtained result is more accurate, the cost is low, and therefore the track traffic tunnel surface environment vibration condition is rapidly and accurately evaluated.