43 results about "Earthquake shaking table" patented technology

A seismic spread has a plurality of seismic stations positioned over a terrain of interest and a controller programmed to automate the data acquisition activity. In one aspect, the present disclosure provides a method for forming a seismic spread by developing a preliminary map of suggested locations for seismic devices and later forming a final map having in-field determined location data for the seismic devices. Each suggested location is represented by a virtual flag used to navigate to each suggested location. A seismic device is placed at each suggested location and the precise location of the each placed seismic devices is determined by a navigation device. The determined locations are used to form a second map based on the determined location of the one or more of the placed seismic devices. Using the virtual flag eliminates having to survey the terrain and place physical markers and later remove those physical markers. It is emphasized that this abstract is provided to comply with the rules requiring an abstract which will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. (37 CFR 1.72(b)

The invention provides an earthquake magnitude prediction method, device and equipment, and a readable storage medium, and relates to the technical field of earthquake magnitude prediction. The earthquake magnitude is predicted by adopting a support vector machine principle. Comparing with previous earthquake magnitude prediction method, by using the method of the invention, the earthquake magnitude can be directly and quickly calculated by utilizing the earthquake wave data received by the seismic station at the first time without utilizing the precursor factors of the earthquake or utilizing a traditional formula for calculation after the earthquake, the model structure is simple, and the manually set and adjusted parameters are fewer.

The invention provides a seismic wave amplitude prediction method based on deep learning and relates to the technical field of deep learning. According to the method, any component is selected based on ENZ three-component seismic waveform data recorded by a seismic station, a seismic wave P wave first arrival moment is obtained according to an STA / LTA algorithm and an AIC algorithm, and then seismic waveform data of the first five seconds are intercepted from the seismic wave P wave first arrival moment to serve as training data; after training data is preprocessed, feature extraction is carried out through a CNN network, finally, regression analysis is carried out on extracted features in an LSTM supervised learning mode, and then the maximum amplitude of subsequent seismic waveforms is predicted. The method has high generalization ability, the situation that errors become large due to waveform changes is avoided, and a large amount of time can be reserved for work such as early warning and rapid reporting.

The invention discloses a data transmission method for a seismic station data collector and a seismic station network center data server, which comprises a collector and a registration management server, and is characterized in that the registration management server manages a preset number of streaming servers, and the data transmission method comprises the following steps: the collector sends aregistration packet to the registration management server for registration, the registration management server allocates connected stations according to the load condition of the streaming server andinitializes a data transmission mode according to the registration information of the registration packet; the collector sends a waveform data packet to the streaming server in an initialized data transmission mode; and the streaming server changes a data transmission mode by sending a control packet to the collector. The data transmission method solves the problems that data transmission betweenthe seismic station data collector and the seismic station network center data server can only be controlled unidirectionally, information interaction cannot be performed and a control command is single, the method improves the early warning capability of the system, makes full use of resources, and reduces the cost.

The invention relates to an earthquake resistant table, which comprises a tabletop, wherein a layer of steel plate is formed in the tabletop; a handle and table legs are arranged on the bottom face of the tabletop; the table legs are arranged at the two ends of the tabletop; the handle is arranged at the bottom of the tabletop between the two table legs; the bottom ends of the table legs are in embedded connected with the ground; and a plastic transverse plate is fixed between the two table legs. The earthquake resistant table has the advantages that: the structure design is novel, unique, simple and practical, and the manufacturing cost is low; the earthquake resistance of the table is increased; and the safety factor of people hiding below the table in earthquake is improved.

The embodiment of the invention provides a data exchange method and platform for railway earthquake early warning. The method comprises the steps that a data exchange platform receives earthquake information sent by an earthquake station network in real time through a preset transmission special line; the data exchange platform obtains at least one railway bureau corresponding to an area affectedby the earthquake information according to the received earthquake information and sends the earthquake information to a high-speed railway earthquake early warning monitoring railway bureau central system of the railway bureau through a preset railway data communication network; and the quick report information is sent to a railway earthquake emergency processing system through the railway data communication network if the received earthquake information is quick report information of which the earthquake magnitude exceeds a preset earthquake magnitude threshold value. According to the embodiment of the invention, the earthquake information published by the earthquake station network is received by the data exchange platform and is forwarded to the high-speed railway earthquake early warning monitoring railway bureau central system and the railway earthquake emergency processing system corresponding to the area affected by the earthquake, so that the earthquake early warning of the railway system is more accurate.

The invention discloses a simulation method of a high-acceleration seismic spectrum. According to the method, the whole frequency range of an anti-seismic test is segmented according to the capacitiesof a hydraulic seismic station and an electromagnetic vibration station, the hydraulic seismic station with good low-frequency performance is adopted for a low-frequency anti-seismic test, the electromagnetic vibration table with good high-frequency performance is adopted for a high-frequency anti-seismic test higher than a turning frequency, and meanwhile it is ensured that a test response spectrum envelops a required response spectrum. According to the simulation method provided by the invention, the test stands with different principles are adopted in different frequency bands, the advantages of the test stands in a specific frequency band can be exerted, and the high-level earthquake resistance of the equipment can be verified on the existing hydraulic seismic stations and electromagnetic vibration stations in China, so that the plant site adaptability and safety of the equipment are improved.

The invention relates to the field of seismic detection, in particular to a seismic network positioning capability assessment method, and aims to solve the problem that the existing method is difficult to fully assess the seismic network positioning capability based on actual observation data. According to the method, seismic stations participating in seismic positioning with the magnitude of M at a certain position are selected according to the seismic signal detection probability of the seismic stations, then a horizontal position positioning error covariance matrix of a seismic source is determined, the semi-major axis a and the semi-minor axis b of a current positioning coverage ellipse are calculated, the area of the current positioning coverage ellipse is obtained, and through multiple times of repetition, and finally, the seismic network positioning capability is evaluated. According to the method, the positioning capability of the seismic network on the earthquake at any position can be fully evaluated, and the earthquake with the earthquake magnitude of M does not need to actually occur at the position.

The invention provides a seismic source rapid determination method and system based on a single rectangular model, seismic data and high-frequency GNSS data are combined to realize rapid determination of a seismic source, and the method comprises the following steps: a strong seismograph and a seismograph collect original motion information of a seismic station, a GNSS receiver collects basic navigation positioning information of a GNSS observation station, and the basic navigation positioning information is sent to a ground computing center; the ground computing center constructs a seismic station characteristic function time sequence, judges whether the seismic station is triggered by an earthquake or not, and accurately picks up the initial movement moment of the seismic station according to the seismic station characteristic function time sequence when the earthquake occurs; the ground computing center determines the epicenter position, and generates GNSS observation station motion information according to the basic navigation positioning information of the GNSS observation station; and the ground computing center estimates the point source magnitude, estimates the initial fault size of the single rectangular model according to the point source magnitude, inverts the parameters of the single rectangular model, and sends earthquake early warning information to an earthquake early warning center.

The invention discloses a far earthquake starting point depth fine positioning technology based on depth earthquake phase automatic matching. According to the technology, on the basis of preprocessing far seismic record waveform data, a direct wave seismic phase is automatically searched and intercepted from data of each seismic station, a depth seismic phase template set corresponding to the seismic station is constructed based on the direct wave seismic phase, and then possible depth seismic phases are searched for in subsequent waveforms; the moment corresponding to the maximum value of the correlation coefficient is taken as the first arrival moment of the depth seismic phase, and the travel time difference between the depth seismic phase and the direct wave is calculated; after all possible depth seismic phases are searched, a plurality of assumed seismic starting points are given from shallow to deep at the known epicentral position, the arrival time of the theoretical depth seismic phases of each assumed seismic starting point is positively modeled, and the theoretical travel time difference between the depth seismic phases and the direct waves is calculated; and then an earthquake starting point is determined based on the theoretical travel time difference and the observed travel time difference of the possible depth earthquake phase, through the process, rapid and precise positioning of the depth of the earthquake starting point of the far earthquake can be realized.

Disclosed is a ceiling type seismic impact buffer unit which may perform a buffering action of reducing vibration or the impact applied thereto attributable to earthquakes, typhoons, etc. without direct transmission of the vibration or the impact to a ceiling panel installed on a ceiling. The ceiling type seismic impact buffer unit includes a housing main body, a first coupling bolt, which is fixed into a coupling hole formed in the center of the upper surface of the housing main body and has a front end connected to an upper connection rod, a second coupling bolt, which is fixed to a sliding contactor through a sliding guide hole formed in the center of the lower surface of the housing main body and has a front end connected to a lower connection rod, and a restoring spring, which has upper and lower ends coupled to first and second fixing washers.

The invention discloses a subway tunnel train operation state and disaster coupling simulation system, which comprises a tunnel main body, a train model, a disaster generation system and a test measurement system. The train model is placed on a guide rail at the bottom of the tunnel main body, and the running speed of the train model is changed through a driving device. The disaster generation system comprises a fire source and an earthquake simulation device, the fire source is arranged in the train model, the earthquake simulation device comprises a simulation box placed on an earthquake table, the tunnel main body is placed in the simulation box, and an overburden layer is laid on the upper portion of the simulation box; the test measurement system comprises a temperature sensor, a gas component analyzer, a flow velocity sensor and a pressure sensor. According to the invention, simulation is carried out by setting parameters such as a train operation state and an earthquake grade, environmental parameters and train operation parameters in a tunnel are acquired, hidden risks under coupling of fire disasters and earthquake disasters are researched, and theoretical and technical supports are provided for subway engineering design, train operation safety and personnel evacuation.

The invention relates to a roaming type ocean seismograph. The roaming type ocean seismograph comprises a floating ball, a sensing and communication positioning module, an energy module, a low power consumption intelligent control module, and a buoyancy force adjusting module. The energy module and the low power consumption intelligent control module are disposed in the floating ball. The energy module is used to supply other modules with power. The low power consumption intelligent control module is used to process external information received by the sensing and communication positioning module. The sensing and communication positioning module is disposed on the top part of the floating ball, and the buoyancy force adjusting module is disposed on the bottom part of the floating ball. The roaming type ocean seismograph is different from a conventional fixed land seismic station and a conventional submersible ocean-bottom seismograph, and is floated in an ocean, and is used to carry out a floating motion along with ocean current, and therefore the roaming type ocean seismograph is used for the long-time recording of the information transmitted by an earthquake, and is used for recording of seismic signals received from different locations. A seismic network capable of covering a large ocean area is formed, and the problem of the lack of the seismic network in the ocean is solved, and the roaming type ocean seismograph is especially suitable for the tomography and the marine seismic observation of the large area ocean area.

The embodiment of the invention discloses a seismic station network waveform data quality monitoring method and device. The method comprises the steps: carrying out calculation through a preset background noise power spectrum probability density function to obtain a power spectrum probability density value of a signal; carrying out calculating by using a preset One-Sided algorithm in a Matlab calculation process to obtain bilateral power spectral density, and performing ground noise effective root-mean-square calculation by using a preset algorithm formula according to the bilateral power spectral density to obtain ground noise level information of the station; carrying out calculating by using a preset cross-correlation function of a plurality of background noises based on time migrationinformation to obtain clock error information of the station; and monitoring and analyzing the seismic station network waveform data quality according to the power spectrum probability density value,the ground noise level information and the clock error information. By adopting the method provided by the invention, the waveform data quality of the seismic station network can be monitored in realtime, and the efficiency and robustness of monitoring the waveform data quality of the seismic station network are improved.

The invention discloses a method for automatically detecting signal abnormality of a seismic instrument by applying machine learning. The method comprises the following steps: S1, searching a previousdata set of the same type; s2, taking continuous records of each channel of each station in the data set in a fixed time period as a sample; s3, extracting each characteristic value capable of representing a signal state from each sample; s4, carrying out normalization processing on each characteristic value; s5, making a training set, a cross validation set and a test set; s6, constructing a probability density function model; selecting a threshold value epsilon for judging the boundary; s7, checking the probability density function model by adopting data in the test set; s8, checking and analyzing the sample which is wrongly calculated and judged, and increasing a new characteristic value of the abnormal characteristic of the sample; carrying out s4 to S7 again, and training an optimization model; and S9, processing the real-time data of the seismic station according to the S2-S4, and then detecting the real-time data by using the optimization model.

The invention relates to the field of earthquake early warning, in particular to an earthquake epicenter position determination method, device and equipment and a readable storage medium, and the method comprises the steps: converting an underground soil layer into a three-dimensional geologic model according to geological exploration data, illustrating a station as a single mass point through employing a vector method, and obtaining a three-dimensional geologic model; the acceleration data can be converted into a mass point movement track, the mass point movement track is analyzed to obtain an epicentral azimuth angle and an epicentral ground position, lame constants and densities of different soil layers are obtained through geological exploration data, an earthquake P-wave travel time equation is established, and a calculation formula from the epicentral position to a seismic station is obtained. By establishing a multivariate nonlinear equation and solving the multivariate nonlinear equation to obtain the epicenter position coordinate, the propagation velocity, incident angle and refraction angle of the earthquake P wave in different soil layers can be obtained according to geological exploration data, and rapid, informatization, visualization and numeralization processing of a three-dimensional geological system can be realized.

The invention relates to a seismic station embedded part. The seismic station embedded part comprises a foundation plate and concrete connecting assemblies, wherein the foundation plate comprises a horizontal plate and a vertical plate, and the horizontal plate and the vertical plate are connected with each other and are perpendicular to each other; and the concrete connecting assemblies are installed on the horizontal plate and the vertical plate respectively, the concrete connecting assembly on the horizontal plate is used for being connected with the horizontal plane of a concrete layer, the vertical plate is used for being connected with the vertical surface of the concrete layer, and the foundation plate is used for placing a vertical actuator or a horizontal actuator. The seismic station embedded part has the effect of improving the installation difficulty of the actuator of a large-volume concrete seismic station.

The invention relates to an observation signal amplitude measurement method based on natural seismic source radiation intensity correction, and aims to solve the problem that the amplitude measurement is difficult to perform by using a recording signal of a large-magnitude natural earthquake on a seismic station due to the influence of the intensity directivity of a seismic source, and a seismic signal amplitude-magnitude relation model of a specific path from a seismic source to a seismic station is difficult to establish. The method is based on a known seismic source mechanism of a natural earthquake, a theoretical seismic map is generated by using a theoretical seismic map calculation method, a theoretical seismic map waveform containing a plurality of path arrival signals is obtained, and a plurality of path arrival signals are obtained by measuring an average value of the theoretical seismic maps of different azimuth angles and measuring a theoretical seismic map signal amplitude on a seismic station. And the average value is normalized to obtain an amplitude correction coefficient corresponding to the seismic station so as to correct the radiation intensity of the seismic source.

The invention provides a high-speed railway post-earthquake operation safety assessment method, device and equipment and a readable storage medium, and relates to the technical field of high-speed railway operation, and the method comprises the steps: obtaining first information and second information in real time, and the first information comprises a seismic oscillation acceleration time travel curve collected by a seismic station; calculating an earthquake end moment according to the first information; dividing the second information into historical moment information and post-earthquake data information according to the earthquake ending moment; calculating according to the historical moment information and the post-earthquake data information to obtain a structure state coefficient change rate and a structure stability coefficient change rate; and judging the safety state of the structure according to the change rate of the state coefficient of the structure and the change rate of the stability coefficient of the structure. The earthquake ending moment is accurately calculated according to the earthquake acceleration time travel curve, and the data is divided into the data at the historical moment and the post-earthquake data based on the earthquake ending moment, so that the purpose of accurately separating the data is achieved; and the safety state of the structure is calculated on the basis.

The invention discloses an electrical method and earthquake combined hot dry rock exploration method. The method comprises the following steps of analyzing a hot dry rock resource potential area according to geological data, and arranging earthquake stations in the potential area at intervals of 2-5km to form a natural earthquake background noise tomography exploration area; interpreting the horizontal wave velocity Vs of a low-wave velocity layer to be less than 3.4 m / s according to an S-wave earthquake imaging profile map obtained by a natural earthquake background noise tomography method; in a low-speed layer area with relatively shallow burial depth, enabling an electrical exploring area to cover a low-speed layer area through an electrical survey line arranged through magnetotelluric sounding, and interpreting that the electrical resistivity range of an existing high-conductivity layer is 1-10 omega.m by an electrical profile; and integrating a low-wave-velocity layer and a high-conductivity layer, preferably selecting a ''low-speed high-conductivity layer'', arranging a two-dimensional / three-dimensional seismic exploration section on the earth surface corresponding to the ''low-speed high-conductivity layer'', forming a two-dimensional / three-dimensional seismic exploration area, preferably selecting a hot dry rock exploration target area according to the two-dimensional / three-dimensional seismic exploration result, referring site conditions , and carrying out hot dry rock drilling. The method is used for verifying whether the hot dry rock target rock mass temperature is higher than 180 DEG C.

The present invention provides a seismic data processing method and device for calculating the rotation component by using the translational component. The method includes: obtaining the translational component collected by multiple seismic stations and the position information of each seismic station; Including the first seismic station and multiple second seismic stations set around the first seismic station; the translational components collected by multiple seismic stations come from the same source; according to the obtained translational component and position information, determine the seismic source Theoretical value of the rotational component propagating to the first seismic station. Through the technical solution of the embodiment of the present invention, it is possible to make comprehensive use of the translational components collected by the dense station array including the first seismic station and a plurality of second seismic stations arranged around the first seismic station. The rotation component is obtained by calculating the rotation component and the position information of each seismic station, thereby improving the accuracy of the converted rotation component.

The invention discloses an OPGW optical cable seismic signal extraction method based on distributed optical fiber sensing. The method comprises the following steps: a, acquiring OPGW optical cable vibration data through a distributed optical fiber vibration detection device, and storing the acquired data as an original data file; b, performing parsing and FFT spectrum analysis on data in the original data file, and extracting data in a frequency band interval of 280-380 Hz in a frequency spectrum; c, drawing a frequency-time broken line graph; d, screening out mutation points from the change rate of the frequency-time broken line graph, and matching a mutation point information with seismic information published by the seismic station network; e, performing three-frequency-band data extraction and analysis on the data near the mutation point to obtain frequency-time data of three frequency bands; and f, drawing a thermodynamic diagram according to the frequency-time data of the three frequency bands, and searching fan-shaped textures from the thermodynamic diagram. The method does not need to erect a seismic wave detection sensor, is low in cost, and is simple and practical.

The invention relates to the technical field of electrical engineering, and particularly provides a transformer substation earthquake monitoring substation which comprises an abutment foundation (3), joint bars (1) fixed at the bottom of the abutment foundation (3), embedded connecting pieces (4), an outdoor box (7) and a transformer substation earthquake monitor (6). Furthermore, the invention also provides a seismic oscillation monitoring method based on the transformer substation seismic monitoring substation, and the method comprises the steps: monitoring the seismic oscillation monitoring and evaluation data of the transformer substation through the transformer substation seismic monitoring substation; and uploading the seismic oscillation monitoring and evaluation data to a seismic monitoring data center. The technical scheme provided by the invention can be used for building an earthquake monitoring substation in the transformer substation, so that the actual earthquake oscillation waveform in the substation at the earthquake occurrence moment is obtained, the obtained data is superior to other earthquake station network monitoring data, and the accuracy of transformer substation earthquake damage assessment is further improved.

The invention discloses a multisource monitoring time sequence data-based inversion method for mechanic parameters of a concrete dam. The method comprises the steps of collecting multisource monitoring time sequence data of a physical model of the concrete dam in an experimental process of a seismic station; by adopting a 3D scanning technology, building a three-dimensional finite element dynamic analysis model; by adopting a sensitivity analysis method, determining to-be-inverted parameters; performing evaluation on the to-be-inverted parameters by a Latin hypercube sampling method, generating a to-be-inverted parameter set, and performing dynamic calculation to obtain a comprehensive evaluation index K-RPD; by utilizing a response surface method, establishing an implicit function relationship between the to-be-inverted parameters and the comprehensive evaluation index K-RPD; and by utilizing a Monte-Carlo method, calculating an optimal inverted parameter set Qmax1, namely, an inverted result. By utilizing an advanced full-process full-time-sequence monitoring method, the problem of small monitoring data amount is solved; and by utilizing a mathematic analysis method, the comprehensive index is established, so that various full-process full-time-sequence monitoring data is fully utilized and the problem of single evaluation index is solved.

The invention discloses a nuclear power plant earthquake early warning and monitoring system and method. The system comprises an earthquake early warning system used for sending earthquake early warning before an earthquake reaches a nuclear power plant and an earthquake monitoring system used for reflecting the actual influence of earthquake motion on the structure and equipment of the nuclear power plant. The earthquake early warning system comprises: an early warning information receiving module used for receiving earthquake early warning information sent by an earthquake station network center; an early warning information sending module which is used for sending the earthquake early warning information reaching the fortified earthquake intensity to the main control room earthquake early warning module; and a master control room earthquake early warning module which is used for sending an earthquake early warning sound-light alarm in the master control room. Compared with the priorart, the earthquake early warning and monitoring system for the nuclear power plant can effectively fuse earthquake early warning information and earthquake monitoring information of the nuclear power plant together, and the two systems are independent of each other and proof each other, so that early warning is provided for possible earthquakes, and meaningless shutdown operation is avoided.

The invention relates to the technical field of communication towers, and discloses a landscape communication tower. The landscape communication tower comprises a base, a tower body, an anti-seismic layer arranged between the tower body and the base, and an antenna platform arranged at the top of the tower body; the anti-seismic layer comprises a lower connecting flange plate fixed to the base through a foundation bolt, a double-layer upper connecting flange plate fixedly connected with the tower body through a bolt, a tower shell connected with the double-layer upper connecting flange plate and the lower connecting flange plate to form a cylinder, and a tower column; and tower column concrete is poured between the base and the tower body and arranged in inner rings of the double-layer upper connecting flange plate and the lower connecting flange plate, a plurality of springs and a plurality of viscous dampers are fixedly mounted between the double-layer upper connecting flange plate and the lower connecting flange plate and inside the tower shell, and the whole landscape communication tower can be kept balanced. The landscape communication tower is capable of saving energy, attractive and convenient to maintain, the problem that the tower body is prone to being tilted and toppled under the situations of severe weather such as earthquakes and typhoons can be prevented, and theproblem that the tower body is toppled towards a nearby landscape is prevented.

The invention relates to a positioning method for seismic events in a specific area. First, appropriate seismic stations are selected to establish a rapid monitoring seismic network; the average velocity of the first P-wave seismic phase of each station in the seismic network is calculated; The specific area being monitored is divided into grid points, and the seismic onset time of the event is estimated based on the first-arrival P wave seismic phase detection time of the station and a certain grid point; the contribution of each station that detects the event to the estimated event seismic time is calculated. mean and variance; then select the grid point with the smallest variance as the epicenter location of the event, and its corresponding mean value is the event's seismic time, thereby locating the earthquake event. The present invention proposes a regional fine grid search and positioning method under the condition that repeated earthquake events occur in a specific area. The process is simple, the calculation amount is small, it is easy to implement and the positioning is accurate. It solves the technical problems of rapid monitoring and positioning of earthquake events in specific areas.