20 results about "Earthquake warning system" patented technology

The invention relates to the field of earthquake early warning, and discloses an earthquake early warning system based on a marine government platform, and the system comprises a data collection module which is used for obtaining the earthquake information of a historical earthquake, and the earthquake information comprises epicentral coordinates, epicentral depths, earthquake grades, and corresponding intensity attenuation models and seismic zones; the intensity prediction module is used for constructing a generalization intensity prediction model based on the epicentral coordinates, the epicentral depth and the earthquake grade, and performing differentiation correction on the generalization intensity prediction model according to the seismic zone to which the generalization intensity prediction model belongs, so as to obtain a fitting intensity prediction model; the output of the fitting intensity prediction model represents the prediction intensity of any coordinate about epicenter coordinates; the region division module is used for dividing the earthquake region into a first early warning region to an Nth early warning region based on the epicenter depth and the earthquake grade by taking epicenter coordinates as a center and combining a fitting intensity prediction model; and the early warning sending module is used for distributing early warning sending priorities to the first early warning area to the Nth early warning area according to the earthquake grade.

The invention relates to the technical field of earthquake early warning systems, in particular to a distributed earthquake early warning cloud monitoring network system and method, and the system comprises a plurality of base stations which are used for collecting earthquake wave signals and environment noise information; the collected signals are transmitted to a cloud center node through a wired / wireless communication network; the cloud center node is connected with the plurality of base stations; performing data preprocessing and protocol conversion based on the received data, and transmitting the processed monitoring data to a public cloud node; the public cloud node is connected with the cloud center node; the central node is connected with the public cloud node; calculating an epicenter position and an earthquake magnitude; when the pre-warning condition is met, the distributed earthquake pre-warning system is triggered, and a pre-warning signal is sent to the base station and the pre-warning information issuing module; the early warning information issuing module is connected with the central node; earthquake early warning information is issued to a target user through multiple communication channels, and a distributed acquisition architecture in which a near station base station and a far station base station are combined is adopted, so that the data transmission time delay is effectively reduced.

The invention relates to the technical field of earthquake prediction, and particularly provides a lightweight in-situ seismic oscillation parameter prediction model construction method and an earthquake early warning system. The lightweight in-situ seismic oscillation parameter prediction model construction method comprises the steps of training an initial prediction model according to acceleration waveform data when a seismic P wave arrives, and obtaining a pre-trained prediction model; taking the pre-trained prediction model as a teacher model, and migrating knowledge of the teacher model to a student model through distillation; and constructing a lightweight in-situ seismic oscillation parameter prediction model based on the student model. According to the method, knowledge in the pre-training prediction model is migrated to the student model through distillation, so that the complexity and the calculation amount of the student model can be reduced; and the lightweight in-situ seismic oscillation parameter prediction model is constructed based on the student model, so that the in-situ seismic oscillation parameter prediction efficiency can be ensured, the demand of the model for hardware resources can be reduced, and the deployable scene of the model can be expanded.

The application relates to the technical field of earthquake prediction, and particularly provides a lightweight on-site ground motion parameter prediction model construction method and an earthquake early warning system. The lightweight on-site ground motion parameter prediction model construction method comprises the following steps: training an initial prediction model according to acceleration waveform data when a P wave of an earthquake arrives, to obtain a pre-training prediction model; taking the pre-training prediction model as a teacher model, and transferring the knowledge of the teacher model to a student model through distillation; and constructing a lightweight on-site ground motion parameter prediction model based on the student model. The method can reduce the complexity and calculation amount of the student model by transferring the knowledge in the pre-training prediction model to the student model through distillation; and the lightweight on-site ground motion parameter prediction model can be constructed based on the student model, so that the demand of the model for hardware resources can be reduced while the on-site ground motion parameter prediction efficiency is ensured, and the deployable scene of the model is expanded.

The invention relates to an earthquake early warning system and method based on entangled quanta, and belongs to the technical field of earthquake early warning, the system comprises a quantum sensor array provided with entangled quantum pairs, the array can sensitively capture underground tiny physical changes, earthquake-prone areas are detected through the quantum sensor array, and the earthquake early warning accuracy is improved. According to the method, more accurate sensing data can be obtained, each piece of physical quantity data in the sensing data is converted into corresponding quantum information, data interference between information is reduced, transmission efficiency is improved, the quantum information is transmitted to the earth surface control center through the quantum communication node corresponding to each piece of physical quantity data, and the accuracy of data transmission is improved. The influence of the distance and the range on the transmission process can be reduced, so that the sensing data of the earthquake-prone area can be detected in time at a relatively far place, and the accuracy of the early warning information obtained by analyzing the quantum information by the earth surface control center is improved; and even in a relatively far place, real-time early warning can be carried out on an earthquake-prone area.

This application relates to the field of offshore wind power safety monitoring technology, and discloses an earthquake early warning system based on the CZ1 Huaneng offshore wind power plant. The system includes dual-channel sensing units deployed at wind turbine nodes. Each sensing unit is configured to monitor T-wave disturbances in parallel through an active TDR detection channel and a passive harmonic sensing channel. A central early warning unit is configured to receive trigger signals and perform dual verification. First, the central early warning unit performs cross-channel coherence verification, requiring signals from the two channels from the same sensing unit to be triggered synchronously within a preset time window to filter out incoherent noise. Second, the central early warning unit performs array spatiotemporal coherence verification on verified credible events, fitting their spatiotemporal distribution to a wavefront propagation model to eliminate spatially incoherent local interference. This invention, through dual-channel orthogonal sensing and dual spatiotemporal coherence verification, eliminates interference at both the single-point and array levels, reduces the false alarm rate, and improves the reliability of early warning.

Apparatus and methods are provided including a system that includes multiple seismic sensors and a processor. The processor receives respective seismograms from the seismic sensors during a seismic disturbance and identifies, based on the seismograms, respective estimated P-wave arrival times for at least some of the seismic sensors. Based on the estimated P-wave arrival times, the processor defines one or more virtual arrays, each of which includes at least three of the seismic sensors. The processor computes respective back azimuths for the virtual arrays, and based on the estimated P-wave arrival times and back azimuths, computes estimated coordinates of a focus of the seismic disturbance or of a point on a surface of Earth above the focus. The processor outputs an output based on the coordinates. Other applications are also described.

The invention provides a line earthquake early warning system evaluation parameter acquisition method and a related product, and relates to the technical field of earthquake early warning. The method comprises the following steps: according to an epicenter position parameter, a line position parameter and an S wave propagation rate, determining an influence starting moment and an influence ending moment of an earthquake S wave on a line and position mileage parameters of the line influenced at each moment between the influence starting moment and the influence ending moment; in a line mileage-time coordinate system, determining a first integral region of a position mileage parameter of an affected line from an influence starting moment to an influence ending moment, and a second integral region of a line early warning line section from an early warning moment to the influence ending moment; and determining early warning effect evaluation parameters of the line earthquake early warning system according to the overlapping proportion of the first integral region and the second integral region. According to the invention, comprehensive evaluation of the accuracy and timeliness of the line earthquake early warning system is realized.

The present invention relates to the technical field of earthquake early warning, and in particular to a method and device for distinguishing earthquake events based on earthquake early warning, which improve the effectiveness and practicality of the earthquake early warning system and reduce the losses caused by earthquakes. The method is used to evaluate the impact of earthquake events monitored by the earthquake early warning system, and the method comprises: obtaining real-time earthquake data information detected by the earthquake early warning system in real time; extracting factor features of the real-time earthquake data information to obtain earthquake characteristic vectors, which include earthquake waveform, amplitude, frequency, epicenter position and real-time earthquake level; inputting the earthquake characteristic vectors into a pre-constructed earthquake impact range analysis model to obtain an earthquake impact range feature portrait; the earthquake impact range feature portrait consists of multiple annular areas and a central circle area, the multiple annular areas and the central circle area all take the epicenter position as the center, and the multiple annular areas and the central circle area are sequentially nested.

The invention discloses an earthquake early warning system, method and equipment with a harmful gas detection function. Comprising a gas detection module, and an earthquake early warning module and a controller which are connected with the gas detection module, the earthquake early warning module is used for generating a gas detection instruction based on the earthquake early warning prompt and sending the gas detection instruction to the gas detection module; the gas detection module is used for determining target gas concentration of a detection area based on the gas detection instruction and sending the target gas concentration to the controller, the detection area comprises an indoor designated area and an outdoor designated area, and the target gas concentration comprises radon gas concentration, carbon dioxide concentration and methane concentration; and the controller is used for carrying out harmful gas early warning according to the received target gas concentration. Gas detection can be started in time under triggering of earthquake early warning, and the response speed and initiative of the system are improved. The indoor and outdoor designated areas are detected at the same time, the detection range is expanded, and the detection comprehensiveness and accuracy are improved.

The invention discloses an active triggering type cultural relic protection device and method based on pre-earthquake prediction, and belongs to the technical field of cultural relic protection. The device comprises a showcase body, and a carrying platform is arranged in an inner cavity of the showcase body; the carrying platform rapid evacuation device controls the carrying platform to execute an opening action according to a control instruction of the main control unit; the safe bearing unit is arranged in the protection area and used for bearing the falling cultural relics; the earthquake early warning receiving module receives and analyzes the earthquake motion parameters; the main control unit receives the seismic oscillation parameters, judges the damage level according to the seismic oscillation parameters and generates a control instruction; the state monitoring unit monitors the vibration state of the showcase body, the overturning angle of the carrying platform and the internal pressure of the inner-layer air bag assembly in real time. By integrating the earthquake early warning system, the rapid evacuation mechanism and the multi-stage composite buffering safety bearing unit, a full-chain protection strategy of pre-earthquake prediction, active triggering, lossless transfer and multi-stage energy absorption is achieved, and the survival rate and safety of cultural relics in a strong earthquake environment are remarkably improved.

The application relates to the technical field of earthquake early warning, and discloses an alarm method and a positioning system for abnormal real-time monitoring of an earthquake early warning station network, which comprises the following steps: obtaining M groups of original fluctuation signals based on M seat stations; extracting abnormal data of the original fluctuation signals, including data delay, server time service, network transmission flow and zero point drift; and triggering an alarm if the abnormal data is synchronously over-limit. The original fluctuation signals are obtained based on the M seat stations, four types of key abnormal data, including data delay, server time service, network transmission flow and zero point drift, are extracted, and alarm information is output when the abnormal data is synchronously over-limit, so that the abnormal conditions of the signal collection, transmission and processing links can be comprehensively covered, real-time capture of systematic signal abnormalities of the earthquake early warning system is realized, and the alarm can be triggered quickly.

The invention belongs to the field of seismic facies pickup, and discloses a seismic facies pickup method and system based on meta-knowledge memory bank enhancement, and the method comprises the steps: obtaining seismic waveform data; processing the seismic waveform data through a seismic phase pickup basic model encoder to obtain basic time sequence characteristics; generating an index through regional feature coding, and retrieving in a meta-knowledge memory library to obtain a memory vector; fusing the basic time sequence features and the memory vector by using a memory enhancement module to obtain enhanced feature representation; and decoding the enhanced feature representation by using a decoder to output P-wave and S-wave probability sequences, thereby completing a seismic phase pickup task. The method solves the problems that a traditional fine tuning method is forgotten and knowledge of similar areas cannot be reused, is especially suitable for continuous construction scenes of an earthquake monitoring network, can continuously accumulate and utilize knowledge along with continuous addition of new stations, and provides more and more intelligent earthquake phase pickup capacity for an earthquake early warning system.

The invention relates to the technical field of earthquake early warning, and discloses an earthquake early warning station network abnormity real-time monitoring alarm method and positioning system, and the method comprises the steps: obtaining M groups of original fluctuation signals based on M stations; extracting abnormal data of the original fluctuation signal, wherein the abnormal data comprises data delay, server time service, network transmission flow and zero drift; and if the synchronization of the abnormal data exceeds the limit, triggering an alarm. According to the method, original fluctuation signals are acquired based on M stations, four types of key abnormal data including data delay, server time service, network transmission flow and zero drift are extracted, and alarm information is output when the abnormal data synchronously exceed the limit, so that the abnormal conditions of signal acquisition, transmission and processing links can be comprehensively covered, and the reliability of the system is improved. Real-time capture of systematic signal abnormity of the earthquake early warning system is realized, and thus alarm is triggered rapidly.

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

The invention relates to an earthquake early warning system that provides an earthquake warnings to individuals, companies and public institutions through mobile applications or loT devices by instantly capturing the P wave of the earthquake by means of supplementary hardware, software and earthquake early detection stations equipped with velocity and accelerometers as well as a system that analyzes the said data. The relevant system consists of two modules: single and multi-array. Advantages achieved through this invention include low-cost network configuration, a linear seismic network with versatile detection capabilities, the use of artificial intelligence technology that eliminates false alarms, rapid system installation and deployment, and P-wave detection reduced to less than 1 second.

The invention provides an earthquake early warning system based on ubiquitous vibration sensing application. The earthquake early warning system comprises the following steps: acquiring a sound wave signal of a target area through a sensor array; performing attenuation compensation and amplitude normalization processing on the sound wave signal according to a sound wave propagation attenuation model; carrying out noise reduction processing on the normalized sound wave signal by adopting a self-adaptive filtering algorithm; performing time-frequency domain analysis and feature extraction on the denoised sound wave signal through a wavelet transform algorithm; performing matching degree calculation and similarity judgment on the extracted features and a pre-established sound wave signal feature template library, and identifying suspected target signals; verifying the authenticity of the suspected target signal by adopting a time-frequency domain conjoint analysis method; and according to a signal identification and verification result, carrying out positioning and parameter estimation on the confirmed target signal.

The invention relates to the technical field of earthquake early warning, and particularly provides a test method of an earthquake early warning system and a program product. The test method of the earthquake early warning system comprises the following steps: outputting test earthquake event data to the earthquake early warning system; acquiring system early warning data of an earthquake early warning system; and determining a test result of the earthquake early warning system according to the system early warning data and expected early warning data of the test earthquake event data. The test method comprises the following steps: outputting test earthquake event data including time-varying earthquake wave data of different stations to an earthquake early warning system; therefore, the operation and response of the earthquake early warning system to a real earthquake event can be simulated in the testing process. And the test result of the earthquake early warning system can be determined more accurately according to the system early warning data and the expected early warning data of the test earthquake event data. Related personnel can conveniently adjust the earthquake early warning system according to a test result, and the accuracy and reliability of the earthquake early warning system are improved.

The invention discloses a simulation test and evaluation method and system for a high-speed railway earthquake early warning system, and the method and system are corresponding schemes, in the scheme, simulation test data can be automatically and efficiently generated, the defects of single, discrete and static data in the prior art are overcome, and abundant and realistic input sources are provided for the test of a tested system; moreover, the sending time sequence of test data can be accurately controlled, the real time-space characteristics of seismic wave propagation can be simulated, high-concurrency data generation is supported, and the performance and stability of the system during processing real-time, concurrency and interlaced information are checked; in addition, simulation data and a test result of a tested object can be automatically collected, and automatic analysis and calculation can be completed. Basic function verification can be completed, and key performance indexes of the system can be quantitatively and objectively measured and evaluated.

The present invention relates to a synchronous magnitude estimation method and device for extracting the arrival time of a P wave in an earthquake early warning system, and the method comprises: obtaining the instantaneous STP / LTP ratio of an observation signal at a preset position at each moment in real time; determining the arrival time of the P wave based on the instantaneous STP / LTP ratio of the observation signal at each moment and a preset threshold; determining the first STP / LTP ratio of the observation signal within a preset time period after the arrival time of the P wave based on the arrival time of the P wave; estimating the magnitude of the preset position based on the first STP / LTP ratio and a pre-acquired source distance R. By obtaining the instantaneous STP / LTP ratio of the observation signal at each moment in real time, determining the arrival time of the P wave based on the instantaneous STP / LTP ratio of the observation signal at each moment and a pre-set threshold, and being able to quickly perform magnitude estimation within a preset time period after the arrival of the P wave, the efficiency of earthquake early warning is improved compared with the prior art.