22 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 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 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 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.

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 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.

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.

The invention relates to the technical field of earthquake monitoring, in particular to a seismic station fault diagnosis and recognition alarm system which comprises an embedded hardware terminal and a background server. The terminal collects the operation state and environmental parameters of the instrument, and comprises a relay module to execute remote power-off restart. The server comprises a physical layer diagnosis module used for diagnosing faults based on rules; the network layer diagnosis module diagnoses network abnormity through heartbeat, Ping and port detection; the data exception identification module is used for identifying data kick and missing measurement exception by using a convolutional neural network model; the alarm event generation module is used for synthesizing results to generate alarm events with grades; and the alarm pushing module is used for pushing graded alarms through short messages, telephones and clients according to the grades. According to the invention, intelligent real-time monitoring and closed-loop processing of the station state are realized.

The invention provides a seismic station monitoring method and device based on edge calculation and federated learning, and relates to the technical field of data monitoring. The method comprises the following steps: acquiring a communication protocol of a non-standard instrument and monitoring data of a seismic station instrument; inputting a communication protocol of the non-standard instrument into the trained language model, extracting communication protocol characteristics by adopting the trained language model, and generating a rule corresponding to protocol conversion according to the communication protocol characteristics; inputting the monitoring data of the seismic station instrument into the space-time fusion deep learning model, and performing feature extraction on the monitoring data of the seismic station instrument by adopting the space-time fusion deep learning model to obtain a space-time feature map; and inputting the spatial-temporal characteristic pattern into the trained lightweight SVM model, and performing fault diagnosis according to the spatial-temporal characteristic pattern by adopting the trained lightweight SVM model to obtain a fault diagnosis result. The intelligent level of earthquake monitoring is remarkably improved, and reliable technical support is provided for disaster prevention and reduction.

The application discloses a kind of underground structure imaging methods based on background noise surface wave double-wave bunching, including the cross-correlation function between station pair based on original seismic data calculation;Select double-wave bunching calculation parameter, determine source bunching and receiving bunching based on double-wave bunching calculation parameter;Set local phase velocity and azimuth search range, the cross-correlation waveform located in source bunching and receiving bunching is corrected and is stacked to the center point of bunching, and the optimal measurement result corresponding to the envelope line maximum energy spectrum of stacked waveform is searched;Move source bunching and receiving bunching, obtain multiple sets of the optimal measurement result, generate phase velocity chart based on each optimal measurement result, and generate azimuth anisotropy information according to weak anisotropic medium fitting.This application carries out local phase velocity and azimuth search between two subarrays of dense seismic array to directly extract local seismic wave field characteristics, without inversion calculation, avoid the error caused by various assumptions and intermediate process in traditional background noise imaging.

The invention discloses a vibration table test video generation method and device based on double-branch attention, and relates to the technical field of civil engineering structure tests and computer vision. The method comprises the following steps: firstly, acquiring an earthquake vibration table test video and sensor data, and carrying out data preprocessing to generate a frame-acceleration alignment table; then, based on a double-branch attention mechanism, extracting a fusion feature sequence of each frame in the frame-acceleration alignment table; target space features are extracted from the fusion features through the lightweight SqueezeNet; and performing bidirectional time sequence feature extraction on the target spatial features based on BiGRU to obtain complete time sequence features. And finally, inputting the target spatial features, the complete time sequence features and the frame-acceleration alignment table into a generative adversarial network to generate a target test video. According to the invention, through fusion of double-branch attention, a lightweight architecture and time sequence modeling, the problems of difficulty in capturing the key features of the test video of the seismic vibration table and high real-time processing pressure are solved, and both high quality and light weight are realized.

The utility model discloses a railway post-earthquake emergency disposal device which comprises an earthquake data information receiving and processing unit and an information interaction terminal, and the earthquake data information receiving and processing unit is provided with an earthquake data information input interface and an earthquake data information output interface. The earthquake data information output interface is connected with the information interaction terminal, and the information interaction terminal comprises a post-earthquake damage condition distribution information display; the seismic data information input interface comprises: a processor; a seismic data input interface of the national seismic network, a seismic digital information input interface of the regional seismic bureau and a digital information input interface of the self-built seismic station. Therefore, the post-earthquake damage condition distribution information of railway lines, sections and infrastructures can be generated by utilizing the seismic intensity information of the national seismic network and the regional seismic network, the post-earthquake damage condition distribution information comprises seismic oscillation space distribution, clear inspection sections and marked inspection key points, and great convenience is provided for railway workers to carry out corresponding post-earthquake emergency disposal work.