On the feasibility of IoT-based smart meters for earthquake early warning

The microelectromechanical systems (MEMS) accelerometer built into a smart meter (SM) has a nominal digital resolution of 16 bits. However, this resolution collapses to 7 bits of information per sample when used in an urban environment. This collapse in resolution limits the sensitivity required to...

Full description

Saved in:
Bibliographic Details
Published in:Earthquake spectra 2021-08, Vol.37 (3), p.2066-2083
Main Authors: Taale, Alireza, Ventura, Carlos E, Marti, Jose
Format: Article
Language:English
Subjects:
acceleration
accelerometers
amplitude
early warning systems
earthquake engineering
earthquakes
elastic waves
engineering geology
feasibility studies
ground motion
instruments
internet of things
noise
peak ground acceleration
Seismology
smart cities
smart meters
warning systems
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The microelectromechanical systems (MEMS) accelerometer built into a smart meter (SM) has a nominal digital resolution of 16 bits. However, this resolution collapses to 7 bits of information per sample when used in an urban environment. This collapse in resolution limits the sensitivity required to effectively operate the earthquake early warning platform (EEWP). In this study, we evaluate the performance of the MEMS sensor in present SMs with respect to a reference sensor, with a special focus on its poor noise power spectral density (PSD, ∼1 mg/Hz). We also explore the general capacity of the SM in an IoT-based EEWP and provide explicit information regarding the 16-bit digital MEMS accelerometer. Then, we investigate the functionality of the sensor in the context of event detection in the presence of background vibration. When the value of acceleration root mean square (RMS) exceeds 20 mg, the meter's error decreases to
ISSN:8755-2930
1944-8201
DOI:10.1177/8755293020981964