83 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.

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.

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.

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

A seismic detection system is provided. The system is comprised of a mobile application that uses an existing magnetometer of a smart device, such as a cell phone, to measure and submit low-frequency electromagnetic field (EMF) emissions to a collection point. This data is then analyzed to create a crowdsourced seismic detection network that delivers real-time, continuous data from multiple users. The collected EMF measurements are used to predict significant geophysical events like earthquakes, volcanic eruptions, and geomagnetic reversals. When such an event is predicted, the application alerts the user through various means such as texts, calls, emails, push notifications, or sounds, providing details about the type and severity of the impending disaster.

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 embodiment of the invention relates to seismic detection, and discloses a geophone, which comprises a coil module group, which comprises a main coil and a compensation coil which are wound in a reverse direction; the shielding module is of a hollow structure and is arranged on the outer side of the coil module in a sleeving manner for electromagnetic shielding; the magnetic fluid module is located in the coil module and is coaxially arranged with the coil module; wherein the coil module covers a part of the magnetofluid module, the shielding module covers a part of the coil module, and the shielding module covers the whole area of the magnetofluid module. A magnetofluid suspension and double-coil differential system is formed by the coil module and the magnetofluid module, through structural design optimization, the signal acquisition fidelity of the detector in a complex urban environment is improved, and the requirements of a buried power box culvert and other nondestructive detection scenes for high-precision signals are met.

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.

To provide a seismic sensor, an earthquake detection method, and an earthquake detection program that can accurately determine whether a detected vibration is an earthquake or noise.SOLUTION: A seismic sensor 10 comprises an acceleration acquisition unit 21, an internal angle calculation unit 23, an internal angle frequency distribution generation unit 24, and an earthquake determination unit 25. The acceleration acquisition unit 21 detects a vibration and acquires the acceleration of the vibration. The internal angle calculation unit 23 calculates, for the acceleration acquired by the acceleration acquisition unit 21, internal angles of two acceleration vectors continuous on a predetermined coordinate plane. The internal angle distribution generation unit 24 generates the frequency distribution of the internal angles calculated by the internal angle calculation unit 23. The earthquake determination unit 25 determines whether or not the vibration is an earthquake on the basis of the frequency distribution generated by the internal angle frequency distribution generation unit 24.SELECTED DRAWING: Figure 2