43 results about "Earthquake shaking table" patented technology

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 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.

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 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 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.