US Patent Application 18208498. Systems And Methods For Detecting Mechanical Disturbances Using Underwater Optical Cables simplified abstract
Contents
Systems And Methods For Detecting Mechanical Disturbances Using Underwater Optical Cables
Organization Name
Inventor(s)
Valey Kamalov of Gainesville FL (US)
Mattia Cantono of San Clara CA (US)
Vijayanand Vusirikala of Palo Alto CA (US)
Massimiliano Salsi of Sunnyvale CA (US)
Matthew Eldred Newland of San Jose CA (US)
Systems And Methods For Detecting Mechanical Disturbances Using Underwater Optical Cables - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 18208498 Titled 'Systems And Methods For Detecting Mechanical Disturbances Using Underwater Optical Cables'
Simplified Explanation
This abstract describes a system and method for creating a model to detect seismic events. The system uses data from underwater optical stations, which record the polarization states of light signals over a period of time. The data is then transformed into frequency spectrums. The system also receives seismic activity data from the same region as the optical stations. Using this data, the system generates a model that can detect seismic events based on the spectrums and the seismic activity data.
Original Abstract Submitted
Systems and methods are provided for generating a model for detection of seismic events. In this regard, one or more processors may receive from one or more stations located along an underwater optical route, one or more time series of polarization states of a detected light signal during a time period. The one or more processors may transform the one or more time series of polarization states into one or more spectrums in a frequency domain. Seismic activity data for the time period may be received by the one or more processors, where the seismic activity data include one or more seismic events detected in a region at least partially overlapping the underwater optical route. The one or more processors then generate a model for detecting seismic events based on the one or more spectrums and the seismic activity data.
