Earthquake Prediction Using Teleseismometers via Wireless Sensor Networks

摘要

In environment currently suffering some multiple issues due to change in nature, like global warming, natural disasters, like tsunami, earthquake, floods, volcanic eruptions, etc. To predict before a disaster is challenging task where the scientist invents devices to get simultaneous data regarding environment changes with the help of sensors. A device is designed with teleseismometers to sense vibration on the earth surface and get readings via wireless sensor networks (WSN). Tele-seismometers draw frequency figures on the device that value is later then derived and forwarded to National Oceanic and Atmospheric Administration centers to handle those data sets, analyze readings and calculate prediction via surface detection algorithm (SDA). Here, surface detection algorithm algorithm manipulated with devices to convert analog signals of figures into digital reading, which is then forwarded to NOAA by substations. Where sub stations analyze those data in seismometer and the calculated data will be sent to NOAA for comparative analysis of other substation data in a tele-seismometer. Finally, analysis data predict the damage percentage and area of particular regions with point out values.