A method of detecting an earthquake, comprises, by a processor and memory circuitry: obtaining motion data based on data collected by one or more sensors, filtering the motion data to obtain filtered data FD, wherein the filtering comprises, within at least one range of frequencies representative of an earthquake, amplifying one or more frequencies of the motion data within this range, wherein the one or more frequencies are more amplified relative to other frequencies within this range, comparing, at least once, data representative of FD to at least one threshold, if this comparison meets an alerting criteria, generating an alert indicating that an earthquake has been detected.

Methods include receiving a set of seismic data including a seismic signal generated over the course of a set period of time as a time scale, partitioning the seismic signal into a predetermined integer number greater than one of partitioned seismic signals each associated with a respective fixed position associated with a respective time interval as a portion of the time scale, applying a pulse compression technique to each partitioned seismic signal of the predetermined number of partitioned seismic signals to generate a compressed partitioned seismic signal corresponding to each partitioned seismic signal of the predetermined number of partitioned seismic signals, and inserting the compressed partitioned seismic signal corresponding to each partitioned seismic signal of the predetermined number of partitioned seismic signals in parallel into a velocity model builder. In addition, the methods include summing generated results therefrom to model the seismic signal for the time scale.

A system and a method for monitoring and detecting an illegal sump pump in a sewer system is used to accurately detect and locate sump pumps that are illegally connected to the sewer system. Actual audio profiles are collected and timestamped with audio-recording devices. The actual audio profiles from the audio-recording devices are relayed to the remote server. The remote server compares each actual audio profile to a baseline audio profile to identify at least one matching audio profile. If the matching audio profile is identified amongst the actual audio profiles, the remote server geolocates a potential location for an illegal sump pump based on the sewer location of the corresponding audio-recording device for the matching audio profile. The remote server compiles the potential location of an illegal sump pump into a summarization report. The sewer system is continuously monitored by executing several iterations of the overall process.

A hierarchical early-warning system for landslide probability issues a first level warning based on measured rainfall amounts exceeding a determined threshold, a second level warning, after the first level warning, based additionally on measured soil moisture content measured at different levels, and Factor of safety derived from forecasted pore pressure (FPP) each exceeding a determined threshold, a third level warning, after the first and the second level warnings, based additionally on ground movement measurements compared to a determined threshold, and a fourth level warning after the first, second and third level warnings, based additionally on data from movement-based sensors including strain gauge data.

A method of underwater tsunami detection includes detecting a trigger event using disruption of at least one of a plurality of hard disk drives (HDDs), each different one of the plurality of HDDs in a different one of a plurality of autonomous underwater vehicles (AUVs). A time and location of each of the at least one HDD for the trigger event is logged. Based on at least one of the HDD disruptions, times, and locations of the at least one HDD of the plurality of HDDs, a size, strength, and direction of a tsunami caused by the trigger event is determined. Information regarding the tsunami is transmitted to a monitoring station.

The present disclosure provides an earthquake prediction method and system based on ground-air remote sensing coupling. The method includes: acquiring a geomagnetic resonance cell; determining an initial earthquake magnitude, an epicentral distance, and an eruption time based on the geomagnetic resonance cell; determining an epicenter based on the epicentral distance; obtaining a satellite remote sensing cloud image and/or an infrared remote sensing image; determining an initial earthquake magnitude, an epicenter and an earthquake eruption time based on the satellite remote sensing cloud image and/or the infrared remote sensing image; and determining a final earthquake magnitude, a final epicenter and a final earthquake eruption time by analysis by a coupled system based on the geomagnetic resonance cell, the satellite remote sensing cloud image and/or the infrared remote sensing image. By the above method, an earthquake can be predicted.

A system for processing DAS VSP surveys in real-time is provided. The system includes a DAS data collection system coupled to at least one optical fiber at least partially positioned within a wellbore and configured to repeatedly activate a seismic source of energy. The system further includes an information processing system connected to the DAS data collection system. A seismic dataset is received from the DAS data collection system. The seismic dataset includes a plurality of seismic data records. Two or more of the plurality of seismic data records are combined into a stack. A quality metric indicative of a desired signal-to-noise ratio or incoherence of the stack is determined for each processed seismic dataset collected from a repeated source. Instructions are sent to the DAS data collection system to stop activating the seismic source, in response to determining that the quality metric has reached a predefined threshold.

A terrestrial acoustic sensor array for detecting and preventing airspace collision with an unmanned aerial vehicle (UAV) includes a plurality of ground-based acoustic sensor installations, each of the acoustic sensor installations including a sub-array of microphones. The terrestrial acoustic sensor array may further include a processor for detecting an aircraft based on sensor data collected from the microphones of at least one of the plurality of acoustic sensor installations and a network link for transmitting a signal based on the detection of the aircraft to a control system of the UAV.

A vibration detection device includes a first component, a second component, and a detecting member. The first component and the second component can be moved with respect to each other. The detecting member is located at one of the first component and the second component and can be moved from a position in response to relative movement between the first component and the second component.

An embodiment of a method of performing aspects of a downhole operation includes receiving a measurement value from a first sensor configured to measure a parameter related to the downhole operation, receiving measurement data from a different sensor, the measurement data related to the downhole operation, and performing, by a sensor evaluation module, an evaluation of the first sensor. The evaluation includes determining a condition of the first sensor based on the measurement data from the different sensor, selecting a rule that prescribes a set of one or more measurement values of the parameter that are plausible if the condition is met, and determining whether the measurement value from the first sensor is plausible based on comparing the measurement value to the prescribed set of one or more measurement values.