A method and system for analyzing a seismically active field based on expansion of an empirical orthogonal function is provided. The research region of the seismic active field is gridded at equal intervals for the preset research region of a seismic active field; a seismic active field function matrix correlated with the research region of the seismic active field spatially and temporally is constructed according to the gridding of the research region of the seismic active field; and the seismic active field function matrix is expanded with an empirical orthogonal function to obtain a main typical field and a temporal factor thereof, and an anomaly on the temporal factor of the seismic active field is analyzed with a method index, a parameter index and an anomaly index.

A method for monitoring precipitation of magnetospheric particles includes detecting charged magnetospheric particles by a particles detector, processing the detection data to associate a respective estimate or measurement of kinetic energy with the detected magnetospheric particles, obtaining a first count value N.sub.H associated with a relatively higher estimate or measurement of kinetic energy, obtaining a second count value N.sub.L associated with a relatively lower estimate or measurement of kinetic energy, detecting a relative variation of the second count value N.sub.L with respect to the first count value N.sub.H, determining that an impulsive event of precipitation of charged magnetospheric particles (MPP event) in the magnetosphere occurred, assigning to the MPP event geomagnetic longitude and time, defining one or more groups of MPP events occurred in a time range at a same geomagnetic longitude, and identifying a group of MPP events indicative of an activity of terrestrial origin.

An optical communication system that enables any deployed fiber-optic cable to function as an earthquake-detection sensor. In an example embodiment, a WDM optical transmitter of one network node operates to transmit a CW optical signal together with legacy data-carrying optical signals. At another network node, a low-complexity, low-latency coherent optical receiver is used to obtain time-resolved measurements of the Stokes parameters of the CW optical signal. The signal-processing chain of the optical receiver employs digital filtering to select frequency components of the measurements streams corresponding to seismic disturbances of the fiber-optical cable connecting the nodes. The selected frequency components are then used to compute values of an earthquake indicator, which are reported to a network controller. Based on such reports from three or more nodes, the network controller can determine the epicenter and magnitude of the earthquake and, if warranted, may generate a tsunami forecast.

An earthquake estimation method for more promptly estimating an earthquake on the basis of observation data. The earthquake estimation method includes, by a computer: generating an observation image showing a spatial distribution of seismic wave propagation on a basis of an observation result of seismic waves at a plurality of observation points on a ground; and estimating a parameter of an earthquake with respect to the observation image by using an earthquake estimation model in which a parameter of an earthquake including at least a position of a hypocenter and a magnitude is associated with a simulated observation image showing a spatial distribution of seismic wave propagation on a ground obtained from a result of a numerical simulation of the earthquake, performed with the parameter.

Aspects of the present disclosure include a rotational oscillation sensor, a method of detecting rotational oscillation of an object, and a rotational oscillation sensor unit. One embodiment of the rotational oscillation sensor may comprise a first plurality of parallel dipole line (PDL) sensor unit units. In some embodiments, each of the plurality of PDL sensor units may comprise a plurality of cylindrical diametric magnets (CDMs) mounted in parallel around a first open region, and a diamagnetic object in the first open region.

A retrofit valve shutoff device is provided that comprises a coupling key for coupling with an actuator of a shutoff valve on a fluid supply line, an inertial measurement unit for generating one or more signals in response to arrival of seismic waves, a motor for rotating the coupling key and the actuator of the shutoff valve, and a processing unit for receiving the one or more signals from the inertial measurement unit, analyzing the received signals to determine whether to close the shutoff valve, and sending a signal to the motor to rotate the coupling key and the actuator of the shutoff valve to close the shutoff valve based on the analysis of the received signals.

A system, a method and an autonomous network for vibration monitoring, the system comprising a master station preset for recording vibrations at a master trigger threshold; a secondary station, the secondary station and the master station being time synchronized, a server in communication with the master and secondary stations; wherein, the master station is configured to transmit a master trig time to the server and to start recording vibrations when the master trigger threshold is exceeded; the server is configured to store the master trig time; the secondary station is configured to detect the master trig time stored by the server, and upon detecting the master trig time, to record vibrations; and wherein the master and secondary stations are configured to transmit respective recorded vibrations to the server and the server is configured to classify the recorded vibrations in relation to a preset seismic threshold.

An artificial intelligence calculation method and apparatus for monitoring an earthquake in real time based on edge cloud cooperation is applied to a micro-earthquake data processing system. The micro-earthquake data processing system includes an edge calculation device and a remote server in communication connection with the edge calculation device. The remote server deploys a micro-earthquake data analyzing model based on an artificial intelligence to the edge calculation device in advance. The method includes steps of receiving, by the remote server, effective event data related to the micro-earthquake from the edge calculation device; performing a transfer training to the micro-earthquake data analyzing model by the remote server according to the effective event data; and updating the model after the micro-earthquake data analyzing model that has been transfer-trained is transmitted to the edge calculation device by the remote server.

A method for identifying a seismic event includes extracting a portion of a plurality of seismic data signals based on energy levels in the plurality, comparing the extracted portion to a known pattern and determining a correlation, and identifying the seismic event based on the correlation. A computer program product and devices for implementing the method are provided.

A method, system, and computer program product for simulating potential consequences and possible solutions due to a release of stored energy using augmented reality. The method may include aggregating IoT feeds from devices in a surrounding area. The method may also include calculating amounts of stored energy in the surrounding area based on the IoT feeds. The method may also include predicting contextual situations that could result due to a release of the stored energy in the surrounding area. The method may also include determining one or more consequences for each of the contextual situations. The method may also include calculating a degree of severity of the one or more consequences for each contextual situation. The method may also include determining one or more proposed solutions based on the degree of severity. The method may also include transmitting a recommendation of at least one proposed solution for implementation.