Sentinel is a premium quality 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 is stored in internal memory (from 32Gb up to 256Gb) with a ring-buffer structure.
GNSS receiver is integrated and so are the WiFi module and, additionally the 3.5G or LTE Cat M1 /NB1 modem is available on request. The Sentinel comes 5G-ready.
Sentinel implements sophisticated trigger criteria that distinguishes false events from true seismic events.
An internal 18650 Li-Ion battery prevents the machine from switching off in case of power cut for at least 5 hours.
Sentinel is equipped with 3 indipendent alarm relays output and with a seedlink server.
Structural Health Monitoring
Structural health monitoring is one of the main applications of Sentinel,
With tall buildings, where heavy oscillations excite the structure and the amplitude of physical signals is considerable, Sentinel performs well even if its dynamic range cannot compete with that of Triton’s.
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 using our software for Structural Health Monitoring, Asclepius.
A real-time report of the building and a post-earthquake evaluation of the structural damage can be locally displayed or trasmitted remotely.
Distributed Systems for Seismic Analysis
The good performance/price ratio makes Sentinel the ideal choice when building a distributed system aimed at creating an array of seismic data.
Early Warning System
Earthquake early warning concept is the rapid detection of earthquakes and the alerting of people to shaking.
Sentinel can detect the non-damaging P-waves and transmit the information about tremors 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 with AI algorithms to detect the earthquake autonomously and quickly.
Sentinel would be a good solution for deactivating sensitive electronic devices when a seismic event is detected, closing gas valves or warning people.