42 results about "Earthquake shaking table" patented technology

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 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.

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 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.

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 present invention provides a method and system for predicting abnormal data of seismic stations using similar earthquakes, which relates to the field of disaster early warning. The method includes: obtaining the seismic phases of several seismic events monitored by the seismic station, generating seismic data templates based on the seismic station and the seismic phases of each seismic event obtained; determining abnormal stations among several seismic stations to be detected that record similar seismic events in a preset area; classifying the causes of abnormal records of abnormal seismic stations to obtain abnormal classification data; using a logistic regression algorithm to train an abnormal record prediction model based on the seismic data templates of the abnormal seismic stations and the corresponding abnormal classification data; and using the model to predict the abnormal causes of abnormal records of abnormal seismic stations. The present invention first determines abnormal seismic stations through similar seismic events, and then trains an abnormal prediction model based on the abnormal seismic stations to predict abnormal records of the abnormal seismic stations, thereby achieving the purpose of quickly correcting abnormal seismic stations.

This application provides an earthquake early warning method, device, electronic device, and computer-readable storage medium, relating to the field of earthquake early warning technology. The earthquake early warning method includes: acquiring real-time observation data from at least one seismic station within a monitoring area; determining a reference intensity value for the corresponding seismic station based on the real-time observation data; for any target early warning location: if the reference intensity value of an existing seismic station meets preset early warning conditions, assigning the reference intensity value to the target early warning location within its spatial influence range to obtain a first predicted intensity value; furthermore, considering all seismic stations within the monitoring area as virtual sub-sources, and for the same virtual sub-source, determining a second predicted intensity value at the target early warning location based on ground motion attenuation relationships; and fusing the first and second predicted intensity values ​​to generate a final early warning intensity field for the target early warning location. This method addresses the potential for missed or false alarms that may occur with traditional source parameter estimation methods, without considering source parameters.

The embodiment of the application provides a kind of underground medium dynamic monitoring method, device, equipment, medium and program product, underground seismic data is collected by distributed acoustic wave sensing system, ground seismic data is collected by seismic array, the data collected by distributed acoustic wave sensing system and the data collected by seismic array are combined, underground seismic data and ground seismic data are preprocessed, according to the phase difference of current cross-correlation function and reference cross-correlation function, time shift change is obtained, and according to the wave velocity variation information of underground medium, the dynamic change of underground medium is monitored, the effect of monitoring underground medium dynamic information is improved.

The invention relates to the technical field of building anti-seismic demonstration, and particularly discloses a building anti-seismic performance comparison demonstration system which comprises a seismic station and a base frame. One side of the top end of the seismic station is provided with a common building model, and the other side of the top end of the seismic station is provided with a quality adjusting building model, a viscous building model or a seismic isolation building model; the common building model comprises three fixing frames, a plurality of supporting rods and a plurality of first rough-surface magic tapes, the number of the fixing frames is three, and the number of the supporting rods is multiple. According to the invention, a common building model is used as a comparison reference, clear reference points are provided for audiences, and the quality adjusting building model, the viscous building model and the seismic isolation building model are subjected to different anti-seismic technologies, so that the vibration amplitude and the damage degree of the building in the simulated earthquake are obviously reduced, and the earthquake simulation efficiency is improved. The comparative demonstration not only helps audiences understand the working principles of different anti-seismic technologies, but also enhances the understanding of the audiences on the anti-seismic importance of the building.

The invention discloses a seismic network multi-neighborhood multi-component cooperative clock error early warning system and method, and belongs to the technical field of seismic network clock errors. According to the method, a reference station set is selected for a target station from a station network neighborhood of the target station, the continuous waveform of each station is subjected to standardization processing, and a multi-component analysis sequence is generated. For each station pair, the relative clock offset and the quality index of the current period are estimated by calculating the similarity between the station pair and the long-term reference feature. And fusing the offsets of all station pairs, and obtaining an absolute clock offset estimation value and uncertainty of the target station based on mass weighting. And analyzing a time sequence formed by historical and current offset values, and automatically identifying a clock error state type. According to a preset early warning rule associated with each state, the current offset value, the uncertainty and the state duration are integrated for judgment, early warning information output of the corresponding grade is triggered, and automatic monitoring and graded early warning of the seismic station clock offset are achieved.

The invention relates to a circulating water tank earthquake simulation test system and test method based on electromagnetic driving and artificial intelligence simulation, a circulating water tank main body, a wave making system and a three-axis electromagnetic seismic station are integrated for the first time, X / Y / Z three-axis vibration can be realized, and each axis is independently controlled. A similar criterion library is constructed by combining a contact sensor and non-contact optical measurement, working condition errors of an actual environment and an experimental environment can be reduced as much as possible according to different experimental purposes, complex working conditions that a structure bears wave, water flow and earthquake effects at the same time in a real marine environment are simulated, and an experimental result has higher reference value. One-key process control is achieved through the central control unit, waveform generation and data processing are conducted through the AI technology, and the experiment efficiency and the scientific research depth are greatly improved.

The specification discloses a prediction method, device, readable storage medium and electronic equipment. When a seismic wave propagates to a protected area, a seismic station detects a seismic wave signal, and then, based on the seismic wave signal and station information of the seismic station, a focus position and a magnitude of the seismic wave are predicted, and then, based on the predicted focus position and magnitude, prompt information is sent. It can be seen that the prediction method in the specification can predict the focus position and magnitude of the seismic wave based on the signal of the seismic wave and the station information of the seismic station before the seismic wave propagates to the protected position, and then, based on the predicted focus position and magnitude, prompt information is sent, which can reduce the damage degree of the protected area and protect the personal safety and property safety of users in the corresponding area of the protected area.

The application discloses a kind of seismic background noise super virtual reflection imaging methods, it is related to geophysics detection technical field.The method includes: obtaining the body wave background noise data of surface measuring line multiple seismic stations acquisition, adjacent two stations are selected as first, second station, the rest is auxiliary station.Each auxiliary station data is respectively correlated with the first and second station data, and the first and second cross-correlation results are obtained, and then the two are cross-correlated, and the body wave imaging result of the adjacent station by the current auxiliary station is obtained.The results of each auxiliary station are calculated and superimposed, and the imaging result of the adjacent station is obtained.The whole measuring line below the background noise super virtual reflection imaging result is finally obtained by traversing all adjacent stations.The method provided by the application can effectively improve the resolution of seismic background noise body wave imaging.

This invention relates to a probabilistic tsunami early warning system based on data analysis. The system includes: a seismic data acquisition unit for real-time acquisition of monitoring information transmitted from various seismic stations in the target area; a seismic data preprocessing unit for preprocessing the monitoring information; a hypocenter location determination unit for acquiring multiple sets of estimated hypocenter locations, combinations of magnitudes corresponding to each estimated hypocenter location, and probability values ​​for each combination; a tsunami early warning analysis unit for obtaining the tsunami time series and water level station time series corresponding to each combination along the coast, and obtaining preliminary tsunami early warning results; and a tsunami parameter analysis unit for correcting the preliminary tsunami early warning results based on water level data, obtaining the final tsunami early warning result for publication. This tsunami early warning system, based on limited data after an earthquake, quickly provides the tsunami hazard distribution of the predicted coastal section, thereby facilitating decision-makers to formulate defense plans based on different probabilities.

This invention discloses a method for measuring slope wave velocity variation based on passive source spatial superposition. The method includes preprocessing raw seismic data from seismic stations; calculating the nine-component cross-correlation function between station pairs; using the cross-correlation function from the first five days as a reference cross-correlation; calculating the signal-to-noise ratio (SNR) between the tail wave of the cross-correlation function and the reference cross-correlation; extracting tail wave signals with relatively high SNR for each component and measuring wave velocity variation using a stirring method; dividing the area into different sub-networks based on station layout; superimposing wave velocity variations obtained from tail waves of different components on different rays; performing thermoelastic strain correction on the wave velocity variations to obtain a wave velocity variation map; calculating the response coefficients of seismic waves of different frequencies at different depths; and obtaining a four-dimensional wave velocity variation graph of the subsurface medium. This invention provides new technical means and scientific basis for constructing a real-time monitoring system for wave velocity variations in shallow subsurface layers and for the research and prevention of landslide geological hazards.

The embodiment of the invention discloses an earthquake intelligent monitoring system based on artificial intelligence and a device thereof. The invention provides an intelligent earthquake monitoring system based on artificial intelligence, and the system comprises a server which is used for carrying out the seismic facies pickup association and earthquake positioning through employing a large model, and transmitting the seismic facies information and positioning information obtained through pickup to a client; the client is used for displaying the seismic phase information and the positioning information and acquiring a unified cataloguing result from a seismic network center so as to manually recheck the seismic phase information, the positioning information and the unified cataloguing result, so that an integrated system of'automatic processing and manual rechecking 'is constructed, the optimal balance between efficiency and quality is realized, and the quality of the seismic data is improved. And the task processing accuracy is further improved.

The utility model relates to the technical field of earthquake test devices, and discloses an earthquake test device of a civil engineering frame structure, which comprises an earthquake platform, a building frame body is arranged on the upper surface of the earthquake platform, the building frame body comprises a plurality of groups of vertical columns and cross beams, and the vertical columns are vertically arranged on the upper surface of the earthquake platform. The two ends of the cross beam are connected with the upper ends of the stand columns by arranging fixing bolts, a plurality of sets of measuring mechanisms are arranged on the upper surface of the seismic table, the measuring mechanisms are used for measuring the deformation degree of all parts of the cross beam, and each measuring mechanism comprises a fixing base fixedly installed on the upper surface of the seismic table. During testing, seismic waves are generated by a seismic station and applied to a building frame, and when the seismic intensity is low and the building frame does not change with naked eyes, the building frame can be accurately measured by arranging the measuring mechanism, so that the building frame can be accurately measured, and the building frame can be accurately measured. The deformation degree of the cross beam can be detected.

The application discloses a method and system for determining the azimuth angle of a Mars earthquake or a moon earthquake event, and relates to the technical field of earthquake positioning. The method comprises the following steps: performing filtering processing on original waveform data collected by a single seismic station to obtain filtered waveform data; intercepting the filtered waveform data with a set time length to obtain P-wave first arrival waveform data; performing data analysis on the P-wave first arrival waveform data, and determining the P-wave first arrival waveform data of an eastward E component as X column data and the P-wave first arrival waveform data of a northward N component as Y column data; performing optimal fitting on the X column data and the Y column data by using a direct least square ellipse fitting algorithm to obtain an optimal fitting P-wave first arrival ellipse track, and determining the azimuth angle of the Mars earthquake or the moon earthquake relative to the single seismic station according to the optimal fitting P-wave first arrival ellipse track. The application can reduce the error in estimating the azimuth angle of the Mars earthquake or the moon earthquake relative to the single seismic station.

The invention discloses a multi-source fusion earthquake event automatic construction system and method. The system comprises an earthquake data acquisition interface module, a waveform data access module, a data preprocessing module, an earthquake phase pickup module, an earthquake phase association module, an earthquake positioning module, an earthquake magnitude measurement module, an event classification module and a directory construction module. According to the invention, through a unified data interface and a processing flow, automatic processing of continuous waveform data of multiple stations in the same system is realized, and the problem of data splitting between different algorithms and modules is avoided; processing links such as seismic facies pickup, seismic correlation, seismic positioning, seismic magnitude measurement and event classification are subjected to system-level integration, and a complete seismic event automatic construction link is formed; continuous waveform data can be directly processed and an earthquake catalog can be automatically generated, so that manual participation is reduced, and the automation and stability of earthquake monitoring services are improved; the method is suitable for seismic network of different areas and different scales, and has good engineering applicability and expandability.