112 results about "Earthquake detection" patented technology

The invention belongs to the technical field of seismic structure models, and discloses a seismic structure model construction method and system, and the method comprises the steps: constructing a database; constructing a three-dimensional digital elevation model; constructing a three-dimensional geological structure model; constructing an earthquake three-dimensional earthquake structure model; constructing a three-dimensional P-wave velocity structure model; and analyzing a pregnancy and earthquake environment. The three-dimensional seismic geologic model of the Changning seismic region is constructed by taking the Changning seismic region in southern Sichuan as a modeling object and integrating superficial geology, landform (DEM), seismic fine positioning data and main fracture distribution, a deep seismic detection result, a two-dimensional seismic reflection profile, drilling data and the like, the spatial distribution and structure of the three-dimensional seismic geologic model are finely determined, and the three-dimensional seismic geologic model of the Changning seismic region is constructed. Analysis of deep and shallow tectonic deformation characteristics and tectonic styles has important guiding significance for discussing the earthquake-pregnancy environment and evaluating the earthquake risk of the deep and shallow tectonic deformation.

The invention provides a seismic source positioning method and system based on three-dimensional seismic reflection data and electronic equipment, and relates to the technical field of seismic exploration, and the method comprises the steps: carrying out the initial positioning of a seismic source according to the three-dimensional geological reflection data of a target research region, and obtaining a first seismic source position; extracting a reflected wave time sequence array mapped to the detection point array from the three-dimensional geological reflection data; taking the first seismic source position as an optimization starting point, and performing correlation analysis on the three-dimensional geological reflection data and the reflected wave time sequence array to obtain seismic source space-time parameters; pre-constructing a three-dimensional seismic wave velocity model; and carrying out inversion iteration by taking the seismic source space-time parameters as initial conditions and taking the three-dimensional seismic wave velocity model as iteration constraints, and determining the position of a target seismic source. The technical problem of low positioning precision under a complex geological structure due to insufficient consideration of seismic wave propagation characteristics and reflection characteristics in the prior art is solved, and the technical effect of improving the seismic source positioning precision is achieved.

The invention discloses a mining-while-digging earthquake advanced detection system based on distributed optical fiber acoustic sensing. Relates to the technical field of seismic exploration. On the basis of a distributed optical fiber acoustic sensing technology, mining-while-digging seismic detection of a working face is realized by utilizing vibration generated by cutting a coal rock stratum by mining machinery. In the production process, the detector collects vibration data of mining machinery and transmits the vibration data to the server through a network; optical cables are arranged on two sides of a coal face upper and lower crossheading or two sides of a driving face roadway; the demodulator emits pulse laser and transmits the pulse laser to the working face optical cable through the industrial looped network or the independent fiber core, vibration of measuring points at equal intervals of the optical cable is measured, and a measuring data packet is returned to the demodulator through the industrial looped network or the independent fiber core; the demodulator demodulates vibration waveform data and uploads the vibration waveform data to the server; server data processing software carries out noise reduction processing on the waveform, then stores and images the waveform, carries out real-time intelligent interpretation, and realizes detection of a geological structure and an abnormal area in front of a working face.

Earthquake detection via fiber sensing is provided using using a supervisory path of submarine cables wherein the supervisory system / path of a submarine optical cable conveys portion(s) of an optical signal back to an origin location periodically—i.e., at every repeater location. Advantageously, since it is known where a returning signal is coming from, a resolution equivalent to an undersea span length may be determined—which is sufficient for wide area disturbances such as earthquakes. The returned signal is sufficiently strong such that the signal-to-noise ratio of a returned / received signal is not limited by the ASE noise of the amplifiers. The returned signal is much larger as compared to a normal distributed acoustic sensing (DAS) return signal since the return signal according to aspects of the present disclosure is directed backward via an optical coupler / reflector / circulator having a much larger coupling ratio as compared to normal Rayleigh back scattering utilized in DAS.

The invention belongs to the technical field of seabed cold springs, and discloses a seabed cold spring in-situ intelligent observation station which comprises a main frame and an auxiliary frame combination, a main control cabin, a plurality of battery cabins and a communication system are arranged in the main frame, the communication system is at least provided with an acoustic communication unit and a laser communication unit, and the auxiliary frame combination is arranged in the circumferential direction of the main frame. And an intelligent acquisition system, an optical imaging system, a geothermal flow detection device and a seismic detection device are arranged in the auxiliary frame combination. The invention establishes a technical means capable of monitoring the seabed cold spring in a long-term, real-time and multi-parameter manner.

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.

The invention discloses a disaster-causing tectonic earthquake advanced detection device and method capable of stopping drilling along with a hole, a hollow rod body is of a double-layer structure formed by an inner pipe and an outer pipe, and an annular channel between the inner pipe and the outer pipe serves as a first water injection channel; the shock absorber is installed in the inner pipe, away from the drill bit and used for containing the node type seismograph, a second water injection channel is formed in the shock absorber, and the hydraulic pressurization system is used for injecting high-pressure water into the inner pipe. When water is injected through the first water injection channel, the strong spring, the metal impact block and the piston can be reset. According to the mode of conducting seismic detection while drilling, under the condition of adapting to the drilling seismic construction environment, drilling construction is achieved, meanwhile, the capability of detecting a front disaster-causing structure is achieved, and the advantages of being long in distance, large in range and high in precision are achieved.

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.

A seismic sensor (10) comprises an acceleration acquiring unit (21), a direction angle calculating unit (23), a direction angle frequency distribution generating unit (24), and an earthquake determining unit (25). The acceleration acquiring unit (21) detects vibrations and acquires the accelerations of the vibrations. The direction angle calculating unit (23) calculates, for the accelerations acquired by the acceleration acquiring unit (21), the angle formed by the vector of each acceleration with reference to an origin on a predetermined coordinate plane. The direction angle frequency distribution generating unit (24) generates the frequency distribution of the angles calculated by the direction angle calculating unit (23). The earthquake determining unit (25) determines whether the vibrations are an earthquake on the basis of the angle frequency distribution created by the direction angle frequency distribution generating unit (24).

To provide an earthquake detection system that can accurately predict the epicenter of an earthquake using an electromagnetic wave sensing part (earthquake sensing device) that senses electromagnetic waves. [Solution] The earthquake detection system for detecting earthquakes comprises an electromagnetic wave sensing part 21 that senses the electromagnetic waves of the primary destruction that occurs before an earthquake occurs, and an electromagnetic wave measuring device that measures the amplitude and time of sensing of the electromagnetic waves sensed by the electromagnetic wave sensing part 21. A plurality of electromagnetic wave sensing parts 21 are arranged at separate locations, and the electromagnetic wave measuring device performs calculations to identify the epicenter H from the magnitude of the amplitude of the electromagnetic waves sensed by the electromagnetic wave sensing parts 21 at at least three locations.

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.

This invention relates to the field of seismic source monitoring and discloses a dual-bubble seismic source monitoring method based on marine seismic detection. The method involves deploying a seismic detector array in a target sea area, recording seismic wave data generated by the dual bubbles, using the frequency data of the seismic waves as the first target monitoring data for seismic source identification, and using the propagation velocity of the seismic waves as the second target monitoring data. The method analyzes the arrival time of the seismic waves at different detectors to locate the seismic source. It also analyzes the amplitude attenuation characteristics and propagation path of the seismic waves during propagation to assess the earthquake magnitude and calculate the probability of earthquake occurrence based on the assessed earthquake risk level. This method improves the accuracy of seismic source data acquisition, enables accurate identification and location of the seismic source, and thus improves the accuracy of earthquake probability prediction.

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.

In the present invention, an earthquake detection system based on the combination configuration of a free field and remote signal source is provided. The earthquake detection system includes: a host; a main sensor arranged in a free field and connected to the host; and a plurality of backup sensors, which are remotely arranged with respect to the main sensor, wherein each of the backup is connected to the host via the internet and transmits a remote signal to the host so as to avoid misjudging the occurrence of earthquakes because of unnatural factors, and prevent the vibration caused by human activities from interfering with the detector. The earthquake detection system achieves the effect of verification through a plurality of sensors installed in different positions. Only when all the sensors confirm that there is an earthquake, an earthquake warning will be issued to the protected place, and two sensors set in different environments can be used to avoid the deficiency that the two sensors misjudge at the same time due to the same kind of interference that the two sensors may receive in the same environment.

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.

The invention discloses an interference type low-frequency optical fiber sensing system, and relates to the technical field of optical fiber sensing. Comprising the following steps: acquiring phase signals of a sensing interferometer and an auxiliary interferometer; phase signals of the sensing interferometer and the auxiliary interferometer are added; performing time shifting operation on phase signals of the sensing interferometer and the auxiliary interferometer; adding the signals after time shifting; and subtracting the two added phase signals to eliminate the low-frequency drift noise of the laser so as to obtain a compensated external low-frequency disturbance signal. According to the invention, through time translation interference, an equal-arm-length interferometer is constructed on an algorithm, the complexity of the system is not increased, the detection real-time performance of the system is not sacrificed, the types and application scenes of sensing optical fibers are not limited, and laser low-frequency drift noise suppression can be carried out on a phase signal of a specified channel; the detection performance of the interference type optical fiber sensing system on low-frequency signals is improved, and flexibility and diversity are achieved. And a new thought is provided for application of interference type optical fiber sensing in the fields of seismic detection, underwater sound detection and the like.

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 present invention discloses an artificial intelligence-based template matching earthquake detection method, and the steps include: extracting effective seismic phase data by using a deep learning detection model; using the effective seismic waveform as a machine-detected seismic waveform template; intercepting the artificial seismic monitoring waveform as an artificially-detected seismic waveform template; jointly building a template seismic waveform library; obtaining the template waveforms of each seismic phase; intercepting the continuous waveform data suspected of having an earthquake event as the continuous waveform to be detected, and performing matching calculations between the continuous waveform to be detected and the template waveforms of each seismic phase of each seismic waveform template in the template seismic waveform library. By performing matching calculations between the continuous waveform to be detected and the template waveforms of each seismic phase of each seismic waveform template in the template seismic waveform library, the template matching earthquake detection method can quickly and accurately identify and judge the continuous waveform to be detected, so as to quickly determine whether there is an earthquake event in the continuous waveform to be detected.

The purpose of the present invention is to provide an elevator control panel and an elevator system that prevent the missing of a reset for diagnosing the operation during the recovery by a maintainer. An elevator system (2) is provided with a seismic detection device (15), a landing indicator (10) and a car indicator (18) as notification devices, and a control panel (16). The control panel (16) stores a normal operation state and a diagnostic operation state. When the seismic detection device (15) detects an earthquake greater than or equal to a first threshold value and an earthquake greater than or equal to a second threshold value, the control panel (16) sets the normal operation and the diagnostic operation to "NO". The control panel (16) transmits a notification signal indicating that the normal operation is "enabled" and the diagnostic operation is "NO" to a notification device. And the notification equipment notifies the maintenance personnel of the content of the received notification signal.

A vertical motion and horizontal motion detection and alarm units for detecting vertical motion are described as well as a motion detection and alarm apparatus for detecting motion. A wide area seismic alarm system is described that comprises a plurality of motion detection and alarm apparatus as described that are located in plurality of locations throughout the monitored area.

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.

A seismic sensor (10) comprises an acceleration acquiring unit (21), an acceleration waveform generating unit (22), a frequency detecting unit (24), an increase / decrease rate calculating unit (25a), an increase / decrease determining unit (25b), and an earthquake determining unit (26). The frequency detecting unit (24) detects the period and amplitude of an acceleration waveform generated by the acceleration waveform generating unit (22). On the basis of the period and amplitude detected by the frequency detecting unit (24), the increase / decrease rate calculating unit (25a) calculates an increase / decrease rate from the period and amplitude of the acceleration waveform detected last time by the frequency detecting unit (24). The increase / decrease determining unit (25b) compares the increase / decrease rate calculated by the increase / decrease rate calculating unit (25a) with a prescribed threshold value to determine whether vibrations are becoming amplified or attenuated. The earthquake determining unit (26) determines whether the vibrations are an earthquake on the basis of the determination result from the increase / decrease determining unit (25b).

To provide an elevator earthquake detector activation location detection system that can improve the efficiency of elevator restoration work.SOLUTION: The elevator earthquake sensor activation location detection system comprises an earthquake sensor 7 installed in a pit 11a of an elevator shaft 11, an earthquake sensor 8 installed in a vertical center portion 11b of the elevator shaft 11, an earthquake sensor 9 installed in a machine room 12, a display device 14, and an elevator control panel 6 that controls the display on the display device 14. Based on the detection results of the earthquake sensor 7, the earthquake sensor 8, and the earthquake sensor 9, the elevator control panel 6 displays detection position information on the display device 14, which is information that identifies the position where the earthquake sensor that detected the occurrence of an earthquake is installed among the earthquake sensor 7, the earthquake sensor 8, and the earthquake sensor 9.SELECTED DRAWING: Figure 2

To provide a seismic sensor, earthquake detection method and earthquake detection program, each enabling accurate determination whether detected vibrations are from an earthquake or noise.SOLUTION: A seismic sensor 10 comprises: an acceleration acquisition unit 21; an acceleration waveform generation unit 22; a feature point extraction unit 25a; a score calculation unit 25b; and an earthquake determination unit 26. The acceleration acquisition unit 21 detects vibrations and acquires acceleration of the vibrations. The acceleration waveform generation unit 22 generates an acceleration waveform representing a relation between the acceleration measured by the acceleration acquisition unit 21 and an elapsed time. The feature point extraction unit 25a extracts feature points which appear as earthquake characteristics from the acceleration waveform generated by the acceleration waveform generation unit 22. The score calculation unit 25b calculates scores of the feature points extracted by the feature point extraction unit 25a. The earthquake determination unit 26 determines whether or not the vibrations are from an earthquake on the basis of a total value of the scores of the plurality of feature points calculated by the score calculation unit 25b.SELECTED DRAWING: Figure 2

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