53 results about "Earthquake detection" patented technology

To prevent breakage of related equipment by detecting catching of an APS cord tape of an absolute position positioning system for detecting an absolute position in an early stage when vibration is applied to a hoistway by an earthquake.SOLUTION: An elevator system includes an object to be detected in which an upper end and a lower end of a long body are fixed along a moving direction of a car in a hoistway of an elevator and absolute position information is continuously set corresponding to a position in the moving direction, a detection device installed in the car and configured to read the absolute position information from the object to be detected, a strain detector configured to detect a strain amount in an extending direction of the object to be detected, an earthquake sensor configured to sense an earthquake in the hoistway and output an earthquake sensing signal, and a control device configured to determine presence or absence of a stuck abnormality of the object to be detected based on the strain amount when an occurrence of an earthquake is determined based on the earthquake sensing signal.SELECTED DRAWING: Figure 4

The invention relates to the field of seismology, signal processing and artificial intelligence, namely to automated methods and systems for early detection of earthquakes based on the analysis of seismic data, and can be used to recognize and classify longitudinal waves (P-waves) preceding the main seismic shocks, using deep learning and computer vision methods. The aim of the present invention is to create an automated early earthquake detection system using the classification of seismic signal spectrograms generated by the complex Morlet wave CWT using the YOLO deep neural network architecture. The technical result is an increase in the accuracy and speed of early earthquake detection by analyzing the time-frequency characteristics of seismic signals and automatically localizing P-wave signatures using a neural network model. The device includes a seismic sensor, an analog-to-digital converter, and a microprocessor implementing time-frequency analysis and neural network detection algorithms. The seismic signal is recorded in real time, digitized, segmented into time intervals, and subjected to preliminary digital processing, including noise filtering and amplitude normalization. Each time interval is converted into a time-frequency representation using a continuous wavelet transform, generating a two-dimensional distribution of signal energy over time and frequency. Based on the obtained data, a spectrogram is generated and fed to the YOLO neural network detection model, which is capable of automatically detecting and localizing longitudinal P-wave signatures. Based on the neural network analysis, a determination is made regarding the presence of a P-wave and its arrival time is determined. If a predetermined threshold is exceeded, an early warning signal is generated. The system provides for data accumulation and the possibility of subsequent retraining of the neural network model.

Determining the location, size, and orientation of features within a subterranean formation can be determined by using more than one set of azimuthal data collected along at least two different angle ranges of seismic detection. The azimuthal data collected along one azimuthal range can be stacked and combined. A feature probability map can be generated for each azimuthal data collection using a machine learning system. Feature probability maps generated using azimuthal data collected along different azimuthal angle ranges can be used to optimize a machine learning estimator to generate ensemble azimuthal datasets. More than one estimator can be used thereby generating more than one ensemble azimuthal dataset. These results can be combined using a weighting algorithm applied using a machine learning model resulting in a combined feature probability map that can reduce the uncertainty of the characteristics of the feature of the subterranean formation.

The invention discloses a distributed acoustic sensing earthquake monitoring data stream processing method and system, and belongs to the technical field of earthquake monitoring and data processing. The method comprises the following steps: after preprocessing original seismic monitoring data, slicing the original seismic monitoring data by adopting a sliding processing time window to obtain data fragments suitable for real-time detection; designing a self-adaptive short-time average / long-time average detection algorithm, detecting data segments, and dynamically adjusting self-adaptive parameters in the algorithm according to data characteristics; and finally, multi-channel fusion detection is performed on the initial candidate list of the seismic events, so that a final detection list of the seismic events is generated. The method is based on a distributed streaming data processing architecture, combines the innovation advantages of a self-adaptive earthquake detection algorithm, can improve the earthquake detection precision, guarantees the real-time performance of a detection result, and can provide efficient and reliable technical support for a large-scale earthquake monitoring task.

The invention discloses a lightweight DAS seismic phase pickup method and system based on sparse connection, and relates to the technical field of seismic exploration, and the method comprises the steps: carrying out the segmentation and local time window division of DAS data of a target region, and dynamically adjusting a morphological structure element based on each local time window, thereby generating an enhanced signal feature sequence; the sequence is input into a parallel fusion network formed by convolution and an attention mechanism and a sparse connection U-shaped network at the same time, multi-channel feature maps output by the two types of networks are fused, and P-wave and S-wave arrival distribution curves reflecting time and space distribution are formed through corresponding matching and weighted stacking of local and global features; network redundancy is effectively reduced through a sparse connection mechanism, calculation efficiency is improved, meanwhile, in combination with local convolution response and global attention information, accurate capture of energy concentration positions and propagation trends of P waves and S waves is achieved, and meanwhile it is guaranteed that the model completely characterizes a key vibration mode under the condition of low calculation amount.

The invention discloses a micro-earthquake dry and wet event separation method and device based on a Gaussian mixture model, and the method comprises the steps: S1, building a corresponding Gaussian mixture model based on a micro-earthquake detection result, carrying out the random initialization of parameters of the Gaussian mixture model, and setting the number of mixed components; s2, calculating the posterior probability of each microseismic event point relative to each Gaussian component; s3, updating Gaussian mixture distribution parameters based on the posterior probability of each microseismic event point relative to each Gaussian component; s4, based on the updated Gaussian mixture distribution parameters, calculating a maximum likelihood function and evaluating whether the maximum likelihood function accords with a threshold value, if not, returning to S2, and if yes, executing S5; and S5, outputting the Gaussian mixture model after parameter updating and a dry and wet event classification result. According to the method, effective transformation events corresponding to fracturing construction and fracture activity events caused by ground stress changes can be rapidly distinguished.

An earthquake detection method is disclosed. The method comprises the following steps: receiving a first signal and at least a second signal, wherein the first signal is triggered in response to a first vibration state of a main detection site, and the at least a second signal is triggered in response to at least a second vibration state of at least a backup detection site; determining whether a quantity of those being enabled among the at least a second signal satisfies a quantity ratio condition, and determining whether the first signal and the quantity of the at least a second signal are both enabled at a specific time point, wherein the first and the quantity of the at least a second signals respectively have a first and at least a second initial enabled time points; and determining there is a real earthquake event when an interval between the first and the at least a second signal satisfies a time relationship.

This invention provides a seismic sensor, an earthquake detection method, and an earthquake detection program that can accurately determine whether detected vibrations are from an earthquake or noise. [Solution] The seismic sensor 10 includes an acceleration acquisition unit 21, a total speed change calculation unit 24, a total change variation determination unit 25, and an earthquake determination unit 26. The acceleration acquisition unit 21 acquires the acceleration of the vibration. The total speed change calculation unit 24 calculates the total speed change over a predetermined fixed interval based on the acceleration acquired by the acceleration acquisition unit 21. The total change variation determination unit 25 determines whether or not there is variation in the total speed change calculated by the total speed change calculation unit 24 in each of a plurality of predetermined fixed intervals. The earthquake determination unit 26 determines whether or not the vibration is an earthquake based on the determination result of the total change variation determination unit 25 regarding the presence or absence of variation.

We provide the system. [Solution] Earthquake detection means, A location information means for obtaining the current location of personnel, A calculation means for calculating the optimal evacuation route to at least one emergency exit, A transmission means for generating and transmitting evacuation instructions, including evacuation routes to emergency exits, A means of receiving evacuation instructions via the user's mobile device, A display means that displays the user's location and evacuation route based on location information means and evacuation instructions, A system that includes this.

The application provides a forward migration detector-based tunneling seismic observation method and system, and belongs to the field of tunneling seismic detection. The method comprises the following steps: arranging detectors and collecting tunneling seismic data; pre-processing the tunneling seismic data; forwardly migrating the detectors to the plane where the tunneling working face is located, calculating the migration wave field travel time compensation amount of each detector, and obtaining a forward migration wave field travel time compensation data set; performing wave field travel time migration compensation on the tunneling seismic data based on the data set, calculating the forward migration tunneling seismic data, and pre-processing the forward migration tunneling seismic data; performing velocity analysis on the pre-processed tunneling seismic data and the pre-processed forward migration tunneling seismic data respectively, obtaining a velocity model, performing reflection wave extraction on the pre-processed forward migration tunneling seismic data, obtaining reflection wave common shot gather data, performing polarization migration imaging, and obtaining imaging results. The migration aperture between shots and detectors is enlarged, and the imaging precision is improved.

FIELD: earthquake detector.SUBSTANCE: remote earthquake monitoring system in which it is used, and a corresponding method, and, more particularly, an earthquake detector, a remote earthquake monitoring system using it, and a corresponding method, which detect a plurality of earthquakes, detect and automatically notify of an earthquake near a target device for detection, and also easily record an earthquake in a remote coordination means via a user's mobile device for monitoring an earthquake at the location of the target device for detection using the remote coordination means. Moreover, the earthquake detection unit detects vibration and outputs acceleration sampling data corresponding to the intensity of the detected vibration.EFFECT: increase in the information content and accuracy of the obtained data.18 cl, 6 dwg

The application discloses a distributed optical fiber acoustic sensing based seismic advanced detection system with mining. It is related to the technical field of seismic exploration. Based on the distributed optical fiber acoustic sensing technology, the vibration generated by the cutting of coal rock stratum by mining machinery is utilized to realize the seismic detection with mining. In the production process, the detector collects the vibration data of the mining machinery and transmits the data to the server through a network; the optical cable is arranged on the two sides of the upper and lower crossheading of the coal mining face or the two sides of the roadway of the tunneling face; the demodulator sends out pulsed laser and transmits the laser to the optical cable of the working face through an industrial ring network or an independent fiber core, measures the vibration of the vibration points of the optical cable at equal intervals, and returns the measured data packet to the demodulator through the industrial ring network or the independent fiber core; after the demodulator demodulates the vibration waveform data, the demodulator is uploaded to the server; after the waveform is denoised by the server data processing software, the waveform is stored, imaged and intelligently interpreted in real time, so that the geological structure and the abnormal area in front of the working face are detected.

The invention relates to the technical field of earthquake monitoring and early warning, in particular to an active fault earthquake risk dynamic assessment early warning method and system, and the method comprises the steps: constructing and optimizing an active fault earthquake detection system according to the historical information of an active fault monitoring region; establishing a three-dimensional equidistant grid model of the active fault, and screening information acquisition points in the active fault seismic detection system according to the acquisition point error analysis model to determine a target monitoring point of the system; performing information monitoring on the active fault through the detection system and the target monitoring point to obtain active fault earthquake monitoring data; and predicting the relative displacement condition of the active fault based on the monitoring data and the three-dimensional equidistant grid model, and realizing the evaluation and early warning of the active fault earthquake by combining the relative displacement condition and the active fault earthquake monitoring data. The active fault can be monitored in real time, the motion condition of the active fault can be analyzed, evaluation and early warning of active fault earthquakes are achieved, and the occurrence possibility and the influence range of the earthquakes are accurately predicted.

The invention belongs to the technical field of seismic detection, and particularly relates to a distributed acoustic sensing dragging type seismic detection optical cable system and method. According to the invention, through dragging data acquisition and optical cable track correction, the actual position of the optical cable along the earth surface can be accurately measured, a reliable space reference is provided for high-precision seismic detection, the optical cable laying state and the sampling strategy can be dynamically adjusted in the dragging process, and the dragging speed, the attitude change and the applied deviation can be compensated. By applying earthquake excitation in an excitation section and combining strain information, the optical cable can respond to earthquake waves in real time, high-precision earthquake response collection in the length direction of the optical cable is achieved, dragging data, attitude and strain compensation strategies are introduced, errors caused by dragging motion and uneven sampling intervals are eliminated, and the accuracy of the seismic response collection is improved. The acoustic signal precision and the detection reliability are improved, and a generated seismic detection result not only comprises a seismic wave propagation path and wave amplitude distribution, but also can identify a potential abnormal region.

The invention discloses a safety early warning method based on while-mining seismic detection, a storage medium and electronic equipment. The method comprises the following steps: determining the position of a while-mining area; according to the position of the mining-following area, a first safety radius with the mining-following area as the center is configured; arranging a first seismic sensing edge network on the first safety radius, performing real-time detection according to the first seismic sensing edge network, and outputting a first seismic sensing signal set corresponding to the first safety radius; performing signal restoration on the first seismic sensing signal set by using a signal restoration module, and outputting a seismic restoration signal set; and inputting the earthquake restoration signal set into an earthquake safety early warning module for safety analysis, outputting an earthquake risk index, and generating a safety early warning signal based on the earthquake risk index. According to the invention, the technical effect of improving the accuracy of seismic signal identification and the monitoring stability is achieved.

The utility model relates to the technical field of seismic detection, in particular to a seismic signal probe device of a seismograph with high coupling and high sensing precision, which comprises a probe, a sensor module, a signal amplification and processing module, an adjusting support structure and a data transmission and storage module. The probe is installed on the adjusting supporting structure, the sensor module is electrically connected with the signal amplification and processing module, and the signal amplification and processing module is electrically connected with the data transmission and storage module, so that the coupling effect of the seismograph and the earth surface can be effectively improved, and the sensitivity and precision of seismic signal detection are improved; therefore, accurate detection of weak seismic waves, far-seismic signals and urban ground weak vibration signals is realized.

The invention belongs to the technical field of deep resource mining, and provides a roadway roof instability failure distributed optical fiber time-lapse seismic detection method and system, and the method comprises the steps: laying a distributed optical fiber sensing array, carrying out the active source seismic detection, carrying out the preprocessing of a signal, and obtaining a reference speed model through a seismic full-waveform inversion method; carrying out passive source micro-seismic monitoring on a whole roof area, carrying out preprocessing, picking up micro-seismic signals generated by roof fracture in a multi-channel combined manner, obtaining passive source micro-seismic data, realizing micro-seismic source positioning by adopting a reverse time migration imaging method based on a reference speed model, reappearing a space-time evolution process of roof fracture, and delineating a fracture concentration area; active source time-lapse seismic detection is carried out in a roof fracture concentrated area to realize time-lapse imaging, and a time-lapse velocity model of a roadway roof area is obtained through a seismic full-waveform inversion method; and combining the obtained reference velocity model, the space-time evolution process and the time shift velocity model to perform joint interpretation, thereby realizing accurate forecasting of the instability failure area.

The application discloses an underwater seismic source positioning method based on direct wave and ghost wave joint travel time inversion and belongs to the field of marine seismic detection. A far-field hydrophone is arranged at a near-seabed position to record the arrival time of direct waves and sea surface reflection ghost waves of an underwater seismic source and to extract the measured travel time difference of the direct waves and the ghost waves; based on initial seismic source positioning information, a seismic source optional position set is constructed; the arrival time of the direct waves and the ghost waves corresponding to different candidate seismic source positions in the seismic source optional position set is extracted by ray tracing, the travel time difference of the direct waves and the ghost waves is extracted, and least square error evaluation is carried out on the measured travel time difference, and the candidate seismic source position corresponding to the minimum error is the best seismic source position. The application adopts the mode of additionally arranging a far-field hydrophone, determines the accurate seismic source position by monitoring the travel time difference of the direct waves and the ghost waves, and makes up for the positioning error of the existing USBL system.

To provide a railway vehicle that reduces the possibility of derailment during an earthquake by suppressing vehicle sway and relative displacement between the car body and bogie, which cause a decrease in wheel load, and further by suppressing air leakage from the air springs. [Solution] The vehicle comprises a pair of air springs located between the vehicle body and the bogie, a pair of vertical vibration damping devices arranged in parallel with the air springs and capable of changing the generated force, and an earthquake detection means for detecting earthquakes. The vertical vibration damping devices can be switched between a ride comfort priority mode and an earthquake mode in response to a signal from the earthquake detection means, in which case the generated force is greater than that of the ride comfort priority mode. In the earthquake mode, the generated force on the extension side of the vertical vibration damping devices is smaller than the generated force on the compression side.

1. The name of the design product: the shell structure of wireless seismic detection device. 2. The use of the design product: for loading wireless seismic detection device. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: front view.

The application discloses a geological anomaly body rapid identification method and system based on seismic exploration, and relates to the field of geological anomaly body identification.The method comprises the following steps: fine imaging based on historical seismic data, generation of a high-precision three-dimensional geological model, and construction of a geological regional risk distribution map; emergency evaluation of anomaly body identification, configuration of a plurality of adaptive identification time limits; prediction of the predicted seismic source signal sequence and the predicted noise signal sequence of the second geological region based on the historical seismic source signal sequence and the historical noise signal sequence, analysis of the anomaly body identification complexity, and output of the second optimal identification time limit; optimization of the identification strategy of the geological anomaly body, execution of the geological anomaly body identification of the second geological region, iterative optimization of the identification scheme, and completion of the coal mining task.The geological anomaly body rapid identification method and system solve the problem that the geological anomaly body identification strategy cannot be dynamically adjusted, resulting in low safety warning responsiveness and insufficient accuracy.

The application belongs to the technical field of artificial intelligence, and particularly relates to a TEC prediction method with double-branch frequency domain filtering and weight self-adaptation, taking the ionospheric TEC prediction task in the global range as an example, firstly, the historical TEC grid data is preprocessed, and the input sequence is processed by using reversible instance normalization (RevIN). The model extracts features through parallel double branches: the space-frequency branch transforms the grid data at each time point to the frequency domain through Fourier transform, and uses a learnable filter to capture spatial correlation; the time-frequency branch performs Fourier transform on the time sequence of each grid point, and extracts time period features in the frequency domain. The outputs of the two branches are adaptively fused through a learnable weight module, and finally the future 24-hour global TEC prediction result is obtained through RevIN reverse normalization. The model can effectively predict the change of ionospheric TEC, and has important theoretical reference and application value in the fields of space weather, navigation and earthquake detection.

The invention discloses a thin interbed salt cavern volume calculation method and device based on three-dimensional seismic exploration, and relates to the field of volume measurement, and the method comprises the steps: firstly, building a salt cavern geologic model according to a salt cavern development rule on the basis of analyzing and researching the stratigraphic structure and physical property parameter information of a salt mining area; establishing seismic response characteristics of the salt cavity model through forward modeling; the method comprises the following steps: selecting dominant attribute parameters reflecting salt cavern characteristics through extraction and analysis of seismic attributes by utilizing geometric, kinematics, dynamics and other characteristics represented by the seismic attributes; different parts of the salt cavern are depicted according to different advantage attributes, the spatial distribution state of the salt cavern is determined through seismic attribute fusion, and the seismic response volume of the salt cavern is calculated; according to the accurate salt well salt mining quantity index statistics and in combination with the salt mine-interlayer proportion, the salt mine grade, the salt ore density, the salt well brine mining rule and the like, the comprehensive cavity building rate of the salt cavity is analyzed; and calculating the effective volume of the salt cavern according to the earthquake response volume of the salt cavern depicted by the earthquake and the comprehensive cavern building rate.

The invention provides an in-situ wave velocity inspection method for the grouting reinforcement effect of a coal seam floor, and relates to the technical field of coal floor reinforcement. Comprising the steps that geological parameters and grouting design parameters are collected; simulating the flow of the slurry in the coal seam floor to obtain a slurry simulation result; according to the slurry simulation result, generating a three-dimensional thermal geologic map corresponding to the coal seam floor; analyzing the three-dimensional thermodynamic geological map to obtain a thermodynamic core area, a high-risk blind area, a thermodynamic gradient mutation area and a reference area; according to a preset drilling point arrangement rule, drilling positions of the thermodynamic core area, the high-risk blind area, the thermodynamic gradient sudden change area and the reference area are arranged; and according to a bottom plate drilling seismic detection technology, the corresponding wave velocity of each drilling hole before and after grouting is obtained. Quantitative evaluation of the grouting effect is achieved, and a reliable basis is provided for engineering optimization.

To provide a seismic detector that can detect tremors with a simple configuration. [Solution] The device comprises a cylindrical body extending along a plane and having undulations along the direction of extension, a magnet movable inside the cylindrical body, a coil wound around the outer surface of the transition portion between a first apex convex in a direction perpendicular to the plane and a second apex convex in a direction opposite to the direction of extension, and a detection unit that detects the voltage generated in the coil and detects the shaking of the cylindrical body according to the detection result.

The invention relates to the technical field of earthquake detection devices, in particular to an elevator earthquake detection device which comprises a stand column, a protective cover shell is fixedly installed at the upper end of the stand column, an earthquake detector is installed on the inner side of the protective cover shell and comprises a shell and a sensor, and a supporting frame is fixedly installed at the lower end of the sensor. By adopting the optimized design of the take-up mechanism, cable limiting of multiple sets of wiring assemblies is achieved, cables from multiple directions are folded through the combined limiting piece, and by combining with thread adaptation of the wire protection sleeve and the bottom end of the limiting piece, double locking of the limiting piece for folding of the cables in the multiple directions is achieved, and in the assembling process, the assembly efficiency is greatly improved. When the cable is folded, the upward-pushing bunching mechanism is triggered to further abut against the folded cable and prevent the cable from being scattered, so that the problem of electromagnetic interference caused by cable winding of the earthquake detection device is avoided, and loosening and influence on the precision of a sensor are not easy to occur.

The application relates to the technical field of ground stress prediction, and discloses a multi-pulse seismic detection structure and a mine ground stress prediction method and device, wherein the detection structure comprises a field host, a multi-pulse seismic source, a cable, a three-component detector, a preamplifier, a collection station, an anchor rod tray and an anchor rod; the multi-pulse seismic source is connected with the field host through the cable, and a blast hole is blocked by yellow mud; the three-component detector is rigidly connected with the tail end of the anchor rod through the anchor rod tray, is sequentially connected with the preamplifier, and is connected with the collection station which is connected with the host; a stress meter is arranged in a free section of the anchor rod; the stress meter comprises a ceramic substrate, a temperature compensation sheet, a resistance strain gauge and waterproof glue; the strain gauge and the compensation sheet are fixed to the ceramic substrate through the waterproof glue, and are connected with the collection station through a signal adjustment module and the cable. The application can comprehensively and accurately predict the ground stress in the whole space, and provides direct geological information for geological research and engineering application.

The application provides a GIS map-based safety monitoring and early warning method for a coal mining process, comprising the following steps: acquiring the number of over-limit alarms of methane and carbon monoxide, the number of over-limit alarms of mine earthquake detection values, the number of water damage alarms, and the number of abnormal alarms of coal mining personnel of each coal mine in real time, and distinguishing the alarms on a GIS map by different marks; and acquiring the monitoring data of each sensor of each coal mine in real time, and displaying the monitoring data in a preset period by a curve.

The invention relates to a control system, a control method and a control program for an elevator, which can more smoothly perform rescue operation of a trapped person in an emergency area regardless of the proficiency of an operation step. When an earthquake detector (17) arranged in a building (3) detects an earthquake, a trapped judgment part (27) in the control system (24) judges whether trapped in an emergency area occurs or not according to the position of a lift car (9) detected by a position detection part (25) and whether a user is in the lift car (9) judged by an elevator taking judgment part (26). The display control unit (28) causes the monitoring panel (19) to display operation steps performed by the monitoring panel (19) with respect to rescue operation for trapping in the emergency area when trapping in the emergency area has occurred. In addition, a display control unit (28) causes a monitoring panel (19) and a car display panel (14) provided in the car to display operation steps performed by a car operation panel (13) provided in the car with respect to the rescue operation, respectively.