Affiliation:
1. Galgotias University, India
2. PDM University, India
3. KCC Institute of Technology and Management, India
Abstract
The worst natural catastrophes occurring in well-settled intelligent cities are earthquakes. A framework of earthquake warning minimizes destruction and protects countless lives. A system built on IoT to identify the earthquake in the S waves and then to warn people by showing them an alert and where the earthquake happened is proposed. An early warning system is generated by a seismic wave survey. The larger the earthquake, the heavier the tremor. The waves are also breaking down the driveway. So the earthquake in the S wave is safer to find. Therefore, determining the extent of the early warning system is essential for creating an earthquake. The chapter addresses the detection of the frequency of earthquakes by identifying the size of earthquakes. In this chapter, we will discuss the elevated processors and IoT (internet of things) that can efficiently deploy an early warning device that can capture and transmit data over networks without manual interference. The early earthquake warning system (EEW) can be used to support smart urban planning, making earthquake areas less sensitive to disasters.
Cited by
9 articles.
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