147 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 relates to the technical field of earthquake detection, and discloses a constant-pressure online detection device and method for the concentration and flow of gas escaped from a hot spring, and the device comprises a gas collecting hood, a buffer bottle, a gas flow detector, a constant-volume gas storage chamber, a constant-pressure detection valve, an online gas detector and a central controller; the gas collecting hood is arranged in a corresponding area of hot spring escape gas and collects the hot spring escape gas; the gas inlet end of the surge flask is communicated with the gas collecting hood through a pipeline, and the gas outlet end is communicated with the gas inlet end of the constant-volume gas storage chamber through a gas flow detector; the constant-volume gas storage chamber is communicated with an on-line gas detector pipeline through a constant-pressure detection valve, and when the air pressure value of hot spring escape gas stored in the constant-volume gas storage chamber is larger than a preset air pressure threshold value, the hot spring escape gas enters the on-line gas detector through the constant-pressure detection valve; the on-line gas detector is used for detecting gas components and concentration of gas escaped from the hot spring and sending detection data to the central controller.

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.

The invention provides a non-contact vehicle-mounted pull-type seismic data acquisition system and method. The system comprises a plurality of pull-type movable moving vehicles, a controller installed on the large pull-type moving vehicles and a movable vibration isolation table used for bearing a laser Doppler vibration meter. According to the invention, non-contact seismic trace gathers are realized through array networking of the laser Doppler vibrometers; seismic signals of different measuring points of the same measuring line are synchronously measured through seismic gathers, preliminary seismic data are obtained through signal processing, further data processing is carried out on the preliminary seismic data, underground structure and stratum characteristics can be explained, and the method is an effective means for mineral resource exploration and urban underground space detection; the non-contact earthquake detection method is adopted, mobile measurement can be achieved, efficiency is high, implementation is easy, applicability is wide, the method can be flexibly suitable for complex geological conditions, and the method is applied to various underground detection scenes such as exploration of mineral resources of various earth surfaces and urban underground space detection.

The invention discloses a low signal-to-noise ratio seismic detection model based on a deep residual shrinkage network, which introduces an attention mechanism on the basis of designing a soft threshold function according to different noises in seismic records collected by different stations or detectors, and constructs the deep residual shrinkage network. The method is used for detecting seismic events in low-signal-to-noise-ratio seismic records. In the designed network, a soft threshold function is inserted into a deep network structure as a nonlinear transformation layer so as to effectively filter the influence of noise-related features. Meanwhile, an attention mechanism is introduced into the network, a self-adaptive slope module is added, the optimal threshold value of seismic signal denoising is automatically obtained, and optimal processing of different signals and different degrees of noise is achieved. Through training, the deep residual shrinkage network can adaptively determine the de-noising threshold, so that each seismic signal has its own threshold set, the purpose of accurately detecting seismic events under strong background noise is achieved, and the accuracy of seismic event detection is improved.

The invention provides a seismic detection system based on a seabed crawl device, and belongs to the technical field of geophysics, the seismic detection system comprises a survey ship, the seabed crawl device, a seismic source, a receiver and a control chip, the survey ship is connected with the seabed crawl device through a traction rope, a dragging cable is arranged at the tail of the seabed crawl device, the seismic source and the receiver are fixed on the dragging cable, and the control chip is connected with the control chip. An electronic cabin is arranged in the seabed crawl device, the data control chip is arranged in the electronic cabin, and the control chip performs data interaction with a driving unit, a seismic source and a receiver of the seabed crawl device; a seismic detection control module is arranged in the control chip and is used for setting vibration parameters of a seismic source and preprocessing data acquired by the receiver to finally obtain seismic detection data; a data transmission device is further arranged in the electronic cabin, the control chip is electrically connected with the data transmission device, and the data transmission device is used for sending seismic detection data to an investigation ship. The problem that an existing method is not high in comprehensiveness and accuracy is solved.

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.

The invention relates to the field of seismic source monitoring, and discloses a double-bubble seismic source monitoring method based on water seismic exploration, which comprises the following steps: deploying a geophone array in a target sea area, recording seismic wave data generated by double bubbles by the geophone array, and taking frequency data of seismic waves as first target monitoring data; the seismic source identification module is used for identifying a seismic source, positioning the position of the seismic source by taking the propagation speed of the seismic wave as second target monitoring data and analyzing the time when the seismic wave reaches different detectors, respectively analyzing the amplitude attenuation characteristic change of the seismic wave in the propagation process and the propagation path of the seismic wave, and evaluating and analyzing the seismic scale; the earthquake risk level is evaluated, the earthquake occurrence probability is calculated based on the evaluated earthquake risk level, the accuracy of seismic source data acquisition is improved, the position of the seismic source can be accurately identified and positioned, and thus the accuracy of seismic probability prediction is improved.

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 embodiment of the invention relates to the field of earthquake detection, in particular to a micro-earthquake monitoring system. The system is suitable for monitoring a high-level waste disposal underground laboratory, and comprises a plurality of ground surface monitors arranged on the ground surface of the underground laboratory and used for monitoring micro-earthquakes of an underground shallow layer; a plurality of in-well monitors disposed in a peripheral well of the underground laboratory and disposed to monitor microseisms in the underground deep layer; the processor is arranged to receive data from the ground surface monitor and the in-well monitor respectively and determine the stability of the surrounding stratum of the underground laboratory based on the data, and the ground surface monitor and the in-well monitor are arranged at preset positions respectively so that the data provided by the ground surface monitor and the in-well monitor can improve the accuracy of determining the stability. A plurality of micro-seismic monitors are arranged on the earth surface and in a well at the same time, micro-seismic fluctuation of an underground shallow layer and a deep rock stratum is accurately recorded, the stability of the stratum is comprehensively monitored, and micro-seismic monitoring in a three-dimensional space is achieved.

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.

The invention relates to the technical field of coal mine detection data analysis, in particular to a coal mine three-dimensional seismic detection data analysis and processing system, which comprises a data acquisition module used for setting a plurality of acquisition points and acquiring reflected wave signals corresponding to the acquisition points; the speed identification module is used for identifying the travel time of the reflected wave signal and establishing a speed distribution model of each underground layer according to the positions of a plurality of acquisition points; the reflection calculation module is used for identifying a reflection point corresponding to the reflection wave signal according to the speed distribution model, calculating the reflection wave signal on the reflection point, and obtaining a reflection coefficient corresponding to the reflection point; the offset forming module is used for mapping the reflected wave signal from an observed time domain to a spatial domain according to the identified reflection point to obtain an offset image corresponding to the reflected wave signal; matching the obtained offset image with a plurality of acquisition points; and the accuracy and efficiency of three-dimensional seismic detection are improved.

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).

The invention relates to the technical field of urban shallow earth surface geophysical exploration, and provides an earth surface towed seismic detection device and a detection method. The detection device comprises a mobile seismic source platform, an earth surface observation array and a terminal, the mobile seismic source platform is used for exciting a frequency sweeping signal at a specified position; the earth surface observation array is used for acquiring a reflection signal generated by the excitation sweep frequency signal at the underground pipeline and sending the reflection signal to the terminal; the terminal is used for processing the reflection signal to obtain underground reflection information; performing wave velocity inversion on the underground reflection information to obtain underground medium velocity distribution; and based on the underground medium velocity distribution, an underground pipeline imaging result is obtained by adopting a reverse time migration imaging method.

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.

The utility model provides an anti-interference earthquake detection wave detector comprising a sensor used for receiving earthquake reflection waves, the sensor is connected with a cable, the cable is slidably provided with an elastic anti-noise structure, and the anti-noise structure is sleeved on the cable. The utility model can effectively shield tunnel noise interference.

The invention relates to the field of underground coal mine construction safety, in particular to an automatic earthquake detection emergency channel personnel evacuation auxiliary device. The invention provides an automatic earthquake detection emergency channel personnel evacuation auxiliary device which can enlarge the width of an evacuation channel when people are crowded in the evacuation channel so as to relieve the crowded condition of the people and improve the evacuation speed and safety. An automatic earthquake detection emergency channel personnel evacuation auxiliary device comprises an installation box, side plates and the like, and the inner sides of the left portion and the right portion of the installation box are connected with the side plates in a sliding mode. When the supporting plate bears many people, the supporting plate moves downwards, the spring telescopic rods contract, then the supporting plate is separated from the side plates, the side plates can move towards the two sides, and when people in the evacuation channel are crowded, the width of the evacuation channel can be increased, so that the crowding condition of the people is relieved, and the safety of the evacuation channel is improved. And the evacuation speed and safety are improved.

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 a simple elevator earthquake detection sensor which comprises a container. The supporting piece is fixed in the container; the attaching electrode is arranged on the supporting piece; the bottom electrode is fixed in the container; and the conductive part is placed on the supporting part, the supporting part can support the conductive part, and when the supporting part supports the conductive part, the conductive part is in contact with the bottom electrode. A simple passive structure is adopted, when the elevator is in an earthquake or in a weightlessness state, relevant logical judgment and emergency stopping of the elevator are carried out in time through the elevator control module, it is ensured that stopping can be carried out in time when the earthquake or the elevator breaks down, and personnel safety is guaranteed.