60 results about "Earthquake shaking table" patented technology

The invention discloses a side slope wave velocity change measurement method based on passive source space superposition. The method comprises the following steps: preprocessing original seismic data of a seismic station; calculating a nine-component cross-correlation function between the station pairs; cross-correlation is taken as reference cross-correlation in five days before superposition; calculating a signal-to-noise ratio between a cross-correlation function tail wave and reference cross-correlation, extracting a tail wave signal with a relatively high signal-to-noise ratio for each component, and measuring wave velocity change through a straining method; dividing different sub-station network areas according to station layout, and superposing wave velocity changes obtained by each tail wave on different components of different rays; carrying out thermoelastic strain correction on the wave velocity change to obtain a wave velocity change diagram; calculating response coefficients of seismic waves with different frequencies at different depths; and obtaining an underground medium four-dimensional wave velocity change graph. According to the invention, new technical means and scientific basis are provided for constructing an underground shallow internal wave velocity change real-time monitoring system and researching and preventing landslide geological disasters.

The invention discloses a strong earthquake risk assessment method based on focus parameters, and relates to the technical field of earthquake risk analysis. The method comprises the following specific steps: acquiring real-time seismic waveform data received by a seismic station located in a strong earthquake risk area; constructing a seismic source mechanism inversion model based on the real-time seismic waveform data and the seismic phase file; calculating focus parameters in real time through the focus mechanism inversion model; and inputting the seismic source parameters into a trained seismic magnitude prediction model, and outputting seismic magnitude prediction information. The physical process of the seismic source and the propagation characteristics of seismic waves are analyzed through the method, the strong earthquake risk can be evaluated more scientifically and more accurately, an important basis is provided for disaster prevention and reduction, and the possible influence and damage degree of the earthquake are predicted.

The invention discloses a seismic surface wave array tomography method, a storage medium and equipment, and relates to the technical field of surface wave tomography, and the method comprises the steps: calculating a cross-correlation function between all seismic station pairs according to continuous waveform data recorded by seismic stations; determining the size of the sub-array according to the distance and the number of the seismic stations; processing all the cross-correlation functions in each sub-array by using linear Radon transform to obtain a frequency dispersion curve of each sub-array; respectively moving the positions of the sub-arrays according to a certain step length along the horizontal direction and the vertical direction, and obtaining frequency dispersion curves of the sub-arrays at other positions by using linear Radon transformation; and taking the frequency dispersion curves of different sub-arrays as input data, and constructing a phase velocity value of each grid point in the research area by using a seismic array tomography method. According to the scheme of the invention, the imaging resolution of a seismic array processing technology can be improved.

The invention relates to the technical field of seismic data analysis, in particular to a seismic station ground motion noise quantification method and related equipment based on a GPU (Graphics Processing Unit), and the method comprises the steps: firstly obtaining waveform record data of a target seismic station in a set time period; performing sliding window segmentation processing on the waveform recording data in parallel by utilizing a GPU (Graphics Processing Unit) to obtain a plurality of waveform recording sub-segments; preprocessing the data of the plurality of waveform recording sub-segments in parallel through a GPU (Graphics Processing Unit); finally, the power spectrum density of the ground motion noise in the preprocessed sub-segments is calculated in parallel through the GPU; and carrying out parallel statistics on a power spectrum density probability density function result based on the power spectrum density by utilizing a GPU (Graphics Processing Unit) to complete the quantitative calculation of the earth motion noise. According to the method, the data processing efficiency is improved based on the parallel computing capability of the GPU, hardware computing resources are fully called, and the earthquake noise quantification of the seismic station record can be efficiently realized. The whole method is based on a CUDA programming model and a C language, cross-platform transplantation is easy, and the large-scale seismic network monitoring capability can be effectively improved.

The invention discloses an urban rail transit organization emergency processing method and system under earthquake early warning, and the method comprises the steps: carrying out the evaluation of the safety of a station through employing an analytic hierarchy process and a fuzzy comprehensive evaluation method based on the earthquake early warning information obtained from a Chinese earthquake network, combining the line characteristics of the station and the characteristics of the surrounding environment, and carrying out the evaluation of the safety of the station through the combination of an analytic hierarchy process and a fuzzy comprehensive evaluation method; according to a safety evaluation result, the urban rail-oriented earthquake early warning grading treatment is divided into a plurality of grades, and a treatment scheme is given; and based on the station safety evaluation result and the grade disposal scheme, establishing a train scheduling optimization model based on the earthquake early warning information by aiming at the train operation elements through constructing constraint conditions and objective functions, and solving the model to obtain an optimal train operation scheme. The method has the advantages that the train operation scheme on the line is quickly decided by considering the actual situation of the earthquake and integrating the subway line characteristics, the environment characteristics and the early warning information, the safety of passengers is guaranteed to the maximum extent, the operation efficiency is improved, and the loss is reduced.

The invention discloses a repeated earthquake identification method based on single-station seismological observation data, and belongs to the technical field of repeated earthquake identification, and the method comprises the steps: obtaining a template earthquake, stations and continuous waveform data; calculating a multi-section cross correlation coefficient by using a multi-section cross correlation method, and screening potential repeated seismic events; calculating the magnitude difference between the template earthquake event and the potential repeated earthquake event, and screening out the potential repeated earthquake event which is small in magnitude difference with the template earthquake event; the hypothetical stress drop value is used to calculate the radius of the seismic source fracture area of the template seismic event and the potential repeated seismic event; estimating the seismic source spacing by using the PS travel time difference to the same station by using the repeated seismic event pair, and calculating the seismic source spacing; and calculating the overlapping degree of the seismic source fracture area by using the seismic source spacing and screening repeated earthquakes. According to the method, under the condition that only single-station seismological observation data are available, the waveform similarity judgment method and the physical judgment method are combined at the same time, and the reliability and accuracy of repeated seismic recognition are improved.

The invention relates to the technical field of reservoir earthquake monitoring, in particular to a reservoir earthquake monitoring station network observation system which comprises a server side, a user side and a plurality of earthquake stations used for collecting waveform data around a reservoir. The server side comprises a data acquisition module, a feature extraction module, a processing module, a positioning module and a feedback module, and the processing module is used for extracting key feature data corresponding to the extracted current continuous waveform data based on a preset earthquake event prediction model. Predicting seismic event data corresponding to the current continuous waveform data of each seismic station; and the positioning module is used for positioning an earthquake monitored by the corresponding seismic station according to the predicted seismic event data corresponding to the current continuous waveform data of each seismic station and the current continuous waveform data corresponding to the seismic event data, and outputting seismic positioning result data corresponding to each seismic station.

The invention discloses a method for generating a post-earthquake seismic oscillation parameter field in a peripheral area of a railway by considering a topographic site, which can consider the influence of topographic features on seismic oscillation, improve the estimation precision of the post-earthquake seismic oscillation parameter field and provide technical support for post-earthquake inspection and driving order recovery. Meanwhile, railway workers can carry out targeted field inspection according to the mileage range, the inspection range is reduced, the emergency disposal time is shortened, the road network post-earthquake emergency disposal capacity is improved, the post-earthquake loss is reduced, and the railway transportation safety is guaranteed; moreover, the calculation work can be completed before the earthquake occurs, the calculation amount is relatively small after the earthquake occurs, and the actual demand of quick response after the earthquake of the railway can be met; besides, earthquake rapid report and station observation data from an earthquake station network center are comprehensively applied, information of a railway self-built station is fused, information utilization is comprehensive, and meanwhile, earthquake oscillation around the railway is better reflected.

The invention discloses a seismic wave velocity change analysis method under a hydraulic fracturing condition, and belongs to the technical field of seismic wave propagation analysis. The method comprises the following steps: S1, acquiring data by using a plurality of seismic stations and removing transient signals by using a long and short window method; s2, calculating a cross-correlation function between the two stations; s3, extracting a tail wave signal and estimating relative velocity change by using mobile window cross-spectrum analysis; s4, extracting a group velocity frequency dispersion curve based on a cross-correlation function, and constructing a two-dimensional velocity model before and after fracturing; and S5, generating a speed image through inversion, and calculating a difference image to reveal speed change characteristics. According to the method, the tail wave sensitivity and the moving window cross-spectrum analysis are combined, the speed change and the anisotropy characteristics of the speed change are accurately quantified, the method is suitable for the complex geological environment, and a new interpretation framework is provided for the influence of hydraulic fracturing on the underground structure.

The invention discloses a method for calculating the position of a seismic station based on a seismic phase observation report. The method comprises the steps of seismic phase observation report data preprocessing, seismic station longitude and latitude information calculation, seismic station elevation information extraction and seismic station position information accuracy analysis. According to the method, the accurate latitude and longitude and elevation information of the station at the unknown position is obtained through the seismic event position, the multiple epicentral distance and inverse azimuth data and the surface relief grid data in the seismic phase observation report in combination with the steps of data preprocessing and accuracy analysis, so that the real position of the seismic station can be accurately obtained under the condition that the real position of the seismic station is difficult to directly obtain. And the richness of a data set in seismological research is improved as much as possible.

The invention relates to the technical field of mountain disaster risk identification, in particular to a debris flow identification method and device based on seismic array signal time-frequency characteristics, and the method comprises the steps: arranging a field debris flow vibration monitoring array at a preset position of a target debris flow gully, so as to collect continuous seismic oscillation waveform signals; performing short-time Fourier transform on the continuous seismic oscillation waveform signal to obtain local information of a time-frequency domain; solving the time-varying power spectral density of the continuous seismic oscillation waveform signal according to the local information of the time-frequency domain; and performing energy weighted average on the time-varying power spectral density to obtain a time-varying centroid frequency, and identifying whether a debris flow disaster event occurs according to the time-varying centroid frequency. Therefore, the problems that an existing classical long and short time window ratio identification method depends on amplitude characteristics of a high signal-to-noise ratio, the diagnosis distance is only within a range of tens of meters, and the detection effect fails under the condition that the observation distance is increased to hundreds of meters are solved.

The utility model discloses a seismic station earthquake monitoring equipment lightning protection device comprising a protection frame, the top of the protection frame is provided with a lifting device, the top of the lifting device is fixedly connected with a lightning rod, the side wall of the lower end of the lightning rod is fixedly connected with a connecting block, the connecting block is fixedly connected with a wire, and the wire is fixedly connected with a lightning rod. The lead leads the current to a safe position, two sides of the protection frame are provided with supporting devices, and the supporting devices support the ground, and the utility model relates to the technical field of lightning protection. According to the lightning protection device for the seismic monitoring equipment of the seismic station, the lightning rod and the lifting device are arranged at the top of the protection frame, the height of the lightning rod can be conveniently adjusted to adapt to different environments and change of equipment layout, the flexibility and applicability of the lightning protection device are improved, and the design of the supporting device provides stable support; and the device can be firmly fixed on the ground through the spiral blade, so that the stability of the lightning protection device is enhanced.

A system, computer-readable storage medium and method of reflection seismic survey in a wireless seismic network within a survey area is described. The method includes detecting, in each of a plurality of wireless seismic sensor nodes, seismic reflection signals from a seismic energy source; recording, in each of a plurality of wireless geophones, detected seismic signals; transmitting, by the geophones, the recorded seismic signals as digital data, using a combination of Orthogonal Frequency-Division Multiple Access (OFDMA) and Time Division Multiple Access (TDMA), to a central data receiving device; changing the seismic energy source location for seismic reflection; and repeating the detecting, recording and transmitting a number of times for each change in seismic energy source.

The invention discloses a station automatic registration and coding method and an optical terminal intensity instrument, the station automatic registration and coding method is applied to the optical terminal intensity instrument comprising a triaxial MEMS accelerometer and a magnetometer, and after the optical terminal intensity instruments of tens of thousands and hundred thousands are installed, the station automatic registration and coding method is applied to the optical terminal intensity instrument. The registration management server automatically generates a station code based on the equipment installation position and feeds back the station code to the terminal in real time; the optical terminal intensity instrument can automatically complete station code configuration and seismic station network server connection according to received information, so that convenient installation and low-cost deployment of seismic equipment are realized. According to the technical scheme provided by the invention, the problems of complex installation configuration, high cost and the like of the optical terminal intensity instrument can be solved, so that the arrangement density of the seismic network is higher, and more seismic data can be obtained.

The present invention provides an earthquake early warning information receiving method and device for elevators, and relates to the field of earthquake early warning. The earthquake early warning information device for elevators includes an early warning information receiving terminal, wherein the early warning information receiving terminal is internally provided with a CPU module, an earthquake information analysis module, and a wireless receiving module; the wireless receiving module signal is connected to an information receiving base station; the CPU module is used to control the wireless receiving module and the earthquake information analysis module; the CPU module sends an electrical signal to the elevator control system and the sound and light alarm module after receiving the earthquake alarm; the earthquake analysis module controls the information broadcasting module to work after analyzing the earthquake situation. Through the use of the earthquake information analysis module, the smartphone information, the earthquake sensor information, and the earthquake table shape are integrated, so that the earthquake intensity and earthquake source can be analyzed, and the earthquake positioning accuracy is effectively improved.

The application discloses a global phase correction and high-pass filtering seismic wave reflection matrix imaging method and system, belongs to the technical field of geophysical exploration and seismic signals, and comprises the following steps: firstly, seismic array data is acquired and a reflection matrix is constructed; wideband focusing reflection matrix is obtained through time Fourier transform and Green function propagation; then, the focusing matrix is converted into a wave number difference domain, global phase correction is realized by using a power method, low wave number components are inhibited by combining high-pass spectral filtering, and wave field aberration correction is completed through closed loop iteration; finally, the corrected matrix is converted back into a spatial domain and normalized, and a high-resolution reflectivity image is generated. The application can overcome the interference of strong scattering medium, improve imaging resolution and algorithm convergence speed, is suitable for magma channel detection in a volcanic area and high-precision depiction of a non-homogeneous reservoir and a fracture network in oil and gas exploration, and has scientific research and industrial application values.

This invention discloses a seismic surface wave array tomography method, storage medium, and device, relating to the field of surface wave tomography technology. The method includes: calculating the cross-correlation function between all pairs of seismic stations based on continuous waveform data recorded by seismic stations; determining the size of the subarray based on the spacing and number of seismic stations; processing all cross-correlation functions within each subarray using a linear Radon transform to obtain the dispersion curve of each subarray; moving the subarray along both the horizontal and vertical directions with a certain step size, and using a linear Radon transform to obtain the dispersion curves of subarrays at other positions; using the dispersion curves of different subarrays as input data, and constructing the phase velocity values ​​of each grid point in the study area using the seismic array tomography method. The solution of this invention can improve the imaging resolution of seismic array processing technology.

The application discloses a kind of active noise reduction seismic data acquisition methods, comprising the following steps: complex topography is laid several single points, and an active noise reduction seismic node is placed on each single point;Before seismic acquisition excitation, according to actual situation, environmental noise is measured multiple times, and noise characteristic analysis is carried out on environmental noise, and environmental noise is identified;During the formal acquisition process of seismic data, the noise signal in the seismic data collected this time is identified according to the measured environmental noise characteristics, and a reverse noise signal is generated, and the reverse noise signal is superimposed in the collected seismic data to actively reduce noise;The seismic data after noise reduction is output through a wireless communication module, as the seismic data collected by the point seismic station, and is remotely sent to the console for quality monitoring.The application can solve the low signal-to-noise ratio problem caused by the inability of existing single-point seismic nodes to be combined in the field when collecting in complex areas.

The invention discloses an earthquake background noise super ghost reflection imaging method, and relates to the technical field of seismological detection. The method comprises the following steps: acquiring body wave background noise data acquired by a plurality of seismic stations on a ground surface survey line, selecting two adjacent stations as a first station and a second station, and taking the rest as auxiliary stations; and performing mutual correlation on the auxiliary station data and the first station data and the second station data to obtain a first mutual correlation result and a second mutual correlation result, and performing mutual correlation on the first mutual correlation result and the second mutual correlation result to obtain a bulk wave imaging result of the current auxiliary station on the adjacent station. And calculating and superposing the result of each auxiliary station to obtain the imaging result of the current adjacent station. And traversing all adjacent stations, and finally obtaining a background noise ultra-ghost reflection imaging result below the whole measuring line. The method provided by the invention can effectively improve the resolution of seismic background noise body wave imaging.

The invention relates to the technical field of water conservancy emergency risk analysis, and provides a seismic station dike breach outburst process and flood flow monitoring method, which comprises the following steps: S1, model establishment: establishing a three-dimensional model of a dike by using a three-dimensional reconstruction technology; s2, sampling analysis: sampling silt in a defence lifting area, carrying out soil test analysis on the sample, and calculating density and a non-uniform coefficient; s3, calculating outburst parameters; s4, calculating a ratio coefficient; and S5, calculating an increment. According to the invention, the collapse and slide dike outburst process is monitored based on the seismic station, so that the large collapse time, the impact energy ratio coefficient and the large collapse scale of the barrier dam can be obtained; through flood increment fitting calculation, the large flood increment and time of the breach are obtained, and data support is provided for downstream prevention and control of dike burst.

The invention discloses a three-dimensional Rayleigh wave attenuation relative variation imaging method taking a stable plot as a reference value, relates to the technical field of Rayleigh wave attenuation relative variation measurement, and aims to solve the problems that in the prior art, a seismic source and a path effect are difficult to effectively strip, and a medium attribute change signal cannot be directly extracted. The invention aims to improve the capability of monitoring the change of the state of the earth crust medium and improve the recognition precision of the earthquake precursor abnormity. Comprising the following steps: respectively calculating Rayleigh wave amplitude ratios of seismic stations in a research area and a reference area to two seismic events; correcting the amplitude ratio of the seismic station in the research area by using the amplitude ratio of the seismic station in the reference area, and calculating to obtain the relative variation of the Rayleigh wave attenuation coefficient of the medium of the station in the research area between the two seismic events; on the basis of relative variation of attenuation coefficients calculated by multiple stations and multiple frequencies, spatial interpolation is performed on each single-frequency data to generate a two-dimensional plane distribution diagram, and then different-frequency two-dimensional diagrams are combined according to corresponding depths to generate a three-dimensional space distribution image.

The present invention discloses a method for identifying repeating earthquakes based on single-station seismic observation data, belonging to the technical field of repeating earthquake identification, including: obtaining template earthquakes, stations and continuous waveform data; calculating multi-segment cross-correlation coefficients using the multi-segment cross-correlation method to screen potential repeating earthquake events; calculating the magnitude difference between the template earthquake event and the potential repeating earthquake events, and screening out the potential repeating earthquake events with a small magnitude difference from the template earthquake event; calculating the source rupture area radius of the template earthquake event and the potential repeating earthquake events using the assumed stress drop value; estimating the source distance using the PS travel-time difference of the repeating earthquake event pair to the same station, and calculating the source distance; calculating the overlap degree of the source rupture area using the source distance and screening repeating earthquakes. By adopting the above method, the present invention combines the waveform similarity judgment method and the physical judgment method at the same time under the condition that only single-station seismic observation data is available, improving the reliability and accuracy of repeating earthquake identification.

The invention discloses a site selection method and device for a grounding electrode of a direct-current power transmission system, and electronic equipment. The method comprises the following steps: acquiring target power transmission line information and target seismic station information, and determining a first electromagnetic interference Z component generated by a target power transmission line transmission current on a target seismic station; selecting a plurality of alternative grounding electrodes corresponding to the grounding electrode of the target power transmission line, and determining a second electromagnetic interference Z component generated by the grounding current at each alternative grounding electrode to the target seismic station; performing independent vector superposition on the first electromagnetic interference Z component and a plurality of second electromagnetic interference Z components to obtain a total electromagnetic interference amount generated by each alternative grounding electrode to the target seismic station; and screening the total electromagnetic interference amount corresponding to each alternative grounding electrode through the observation instrument precision in the target seismic station information so as to screen out at least one target grounding electrode corresponding to the target power transmission line. The technical problem that the sustainable development of the power transmission line is threatened due to the fact that the power transmission line is difficult to be compatible with the adjacent seismic station in the prior art is solved.

The invention provides a method for extracting effective data in batches based on seismic station monitoring data, and the method comprises the steps: enabling a sensing element in a geophone to vibrate when a seismic wave is transmitted to the geophone, converting a mechanical vibration signal into an electric signal, and converting the electric signal into an EVT digital signal through a signal conversion module; and the communication module sends the EVT file to the seismic analysis software. Earthquake data are preliminarily sorted in earthquake measurement analysis software, and parameters such as the epicentral position, the earthquake occurrence moment and the earthquake magnitude of an earthquake are obtained. The method comprises the following steps: converting an EVT file into an SAC file by utilizing seismometry analysis software, starting a JUPter Notebook at an operation terminal, opening a Notebook file, calling a python library function in a Notebook window to execute a command, extracting seismic time and amplitude recorded in the SAC file, calculating to obtain speed and acceleration at corresponding time on the basis of time and amplitude, and writing obtained data into an Excel file.

The invention relates to a probabilistic tsunami early warning system based on data analysis, and the system comprises a seismic data obtaining unit which is used for obtaining the monitoring information transmitted by each seismic station in a target region in real time, and a seismic data preprocessing unit which is used for preprocessing the monitoring information, the seismic source position determination unit is used for acquiring a plurality of groups of seismic source estimation positions, combinations of seismic magnitudes corresponding to each seismic source estimation position and probability values of each combination; the tsunami early warning analysis unit is used for obtaining a tsunami time sequence of a coastal output point and a time sequence of a water level station corresponding to each combination, and obtaining a preliminary result of tsunami early warning; and the tsunami parameter analysis unit is used for correcting the initial result of tsunami early warning based on the water level data to obtain a tsunami early warning result for issuing. According to the tsunami early warning system, the tsunami risk distribution of the forecast shore section is quickly given based on the limited data after the earthquake occurs, so that a decision maker can conveniently make a defense plan according to different possibilities.

A system, computer-readable storage medium and method of reflection seismic survey in a wireless seismic network within a survey area is described. The method includes detecting, in each of a plurality of wireless seismic sensor nodes, seismic reflection signals from a seismic energy source; recording, in each of a plurality of wireless geophones, detected seismic signals; transmitting, by the geophones, the recorded seismic signals as digital data, using a combination of Orthogonal Frequency-Division Multiple Access (OFDMA) and Time Division Multiple Access (TDMA), to a central data receiving device; changing the seismic energy source location for seismic reflection; and repeating the detecting, recording and transmitting a number of times for each change in seismic energy source.

The present invention relates to a disaster prevention and mitigation roof photovoltaic system and a control method thereof. The roof photovoltaic system comprises a support assembly 1, a support assembly 2 and a photovoltaic panel which are sequentially arranged above the roof; a shock absorber is arranged between the support assembly 1 and the support assembly 2. The support assembly 1 comprises a limit frame installed on the top of the roof, a sliding foundation embedded in the limit frame and fitted with a clearance of the limit frame, and a column installed above the sliding foundation; a plurality of buffer pads are arranged on the inner wall of the limit frame. The present invention has good seismic resistance and structural stability, and can ensure the structural safety of roof photovoltaic panels under natural disasters such as earthquakes and typhoons. At the same time, the roof photovoltaic system can identify the sand and dust accumulation areas on the surface of the photovoltaic panels and issue timely warnings to ensure that the photovoltaic panels work in a good operating environment.

The present invention discloses a method, system, equipment, medium and program product for evaluating weathering crust rare earth resources, including: firstly, using a seismic station within the scope of the mining area to be evaluated to collect first seismic signal data; preprocessing the first seismic signal data to obtain second seismic signal data; segmenting the second seismic signal data to obtain third seismic signal data; marking the transient interference occurrence point of the seismic signal based on a multi-window long-short time window ratio algorithm, and obtaining fourth seismic signal data according to the marking result; obtaining the peak frequency of the spectrum ratio curve according to the three-component vibration spectrum density of the fourth seismic signal data, and calculating the thickness of the weathering crust in the corresponding area; constructing a rare earth ore prediction model based on geological exploration data; inputting the thickness of the weathering crust into the prediction model to obtain the evaluation result of the weathering crust rare earth resources in the mining area to be evaluated. The present invention effectively improves the evaluation efficiency and accuracy of the evaluation of weathering crust rare earth resources.

A method for monitoring dynamic changes in the underground structure of a target area using background noise involves first deploying multiple seismic stations in the target area to form an array and collecting background noise signals over a period of time. Then, sub-arrays are selected cyclically, and spatial autocorrelation analysis is performed on the background noise signals at the seismic stations within the selected sub-arrays to calculate the underground velocity structure at each location. Finally, spatial interpolation is used to obtain the three-dimensional underground velocity structure of the target area over a given period. By comparing and observing the three-dimensional underground velocity structure of the target area over different time periods, it is possible to monitor the expansion of mining subsidence areas, changes in groundwater levels due to water injection operations, and changes in the underground structure in areas affected by reservoir impoundment, mining development, and shale gas extraction. This allows for the monitoring of dynamic changes in the underground structure of the target area. Therefore, this invention can monitor dynamic changes in underground structures and has a wide range of applications.

The invention belongs to the technical field of earthquake early warning, and discloses a remote seismic oscillation peak velocity prediction method and system based on first arrival seismic waves, and the method comprises the steps: obtaining historical seismic records, and carrying out the preprocessing of the historical seismic records; based on the preprocessed historical seismic record, determining a regression coefficient of the single seismic station for predicting the remote PGV; on the basis of the regression coefficient of predicting the off-site PGV by the single seismic station, determining that the off-site PGV is predicted by the single seismic station; and predicting the off-site PGV based on a single seismic station, fusing the off-site PGVs predicted by a plurality of stations by using an inverse distance weighting method, and determining a final off-site PGV. According to the method, the influence of magnitude estimation errors is avoided, and the regional prediction performance is improved through cooperation of multiple monitoring stations. According to the invention, the framework of the in-situ prediction method and the regional prediction method is unified theoretically, and the efficiency and applicability of the earthquake early warning system are significantly improved in practical application.