On the feasibility of IoT-based smart meters for earthquake early warning
| Autor: | Alireza Taale, Carlos E. Ventura, Jose R. Marti |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Microelectromechanical systems
010504 meteorology & atmospheric sciences Warning system business.industry Digital resolution Smart meter Computer science Electrical engineering 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology Accelerometer 01 natural sciences Geophysics Smart city Internet of Things business 0105 earth and related environmental sciences |
| Zdroj: | Earthquake Spectra. 37:2066-2083 |
| ISSN: | 1944-8201 8755-2930 |
| Popis: | 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, [Formula: see text]). 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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