Sentinel is a cost-effective accelerograph with an integrated triaxial 85dB MEMS accelerometer (self-noise < 18 µg/√Hz).
Sentinel has a 20bit resolution with adjustable sample rate up to 1000Sps per channel (synchronous sampling).
Miniseed data are stored in the internal memory (from 32Gb up to 256Gb) with a ring-buffer structure.
GNSS receiver is integrated and so are the WiFi and the HSPA modem (available on request).
Sentinel implements sophisticated trigger criteria that distinguishes false events from true seismic events.
An internal 18650 Li-Ion battery prevents the switch-off in case of mains loss for at least 5 hours.
Sentinel is equipped with 3 indipendent relays alarm output and with a seedlink server.
Structural Health Monitoring
This is one of the main application of Sentinel, the structural health monitoring.
For the tall buildings, where the oscillation of the structure hevily excites the system, Sentinel works great even if its dynamic cannot compete with that of Triton, that’s because the amplitude of physical signals is considerable.
In a scenario like this, the only high dynamic (and thus more expensive) accelerograph is placed on the ground floor, where the oscillations of the structure are negligible.
Sentinel and Triton can be interfaced and controlled with our software for Structural Health Monitoring, Asclepius.
A real-time situation of the building and a post-earthquake evaluation of the structure damage can be locally visualized or trasmitted remotely.
Distributed Systems for Seismic Analysis
The good ratio performance/price makes Sentinel the ideal choice to build a distributed system for creating an array of seismic data.
Affordable prices mean more units with the same budget!
Early Warning System
Earthquake early warning is the rapid detection of erthquakes and the notification of people to shaking.
Sentinel can detect the non-damaging P-waves and transmit the information about shaking to an alarm center or directly to predefined users before the most damaging S-waves arrive.
Sentinel is currently used for an ongoing project with the INGV (National Institute of Geophysics and Volcanology) which is experimenting AI algorithms to detect the earthquake autonomously and fast.
Sentinel can be a good solution for deactivating sensible electronic devices when a seismic event is detected, closing gas valves or to warn people.