Incomplete reconstruction
After an event, without objective data on the environment, reconstructing incidents, anomalies and causes can be complex, slow and contentious.
BB-S is a system that turns continuous listening to operating environments into a new source of data and operational intelligence. It creates a persistent acoustic memory, learns what is normal for the environment and makes available information that is useful for event reconstruction, maintenance and safety.
Learned normalitySignificant variationIllustrative visualisation
The problem
Traditional monitoring systems mainly check individual machines and specific parameters. There is rarely a continuous memory of the whole operating environment that can document what happened, recognise changes and describe how they develop over time.
After an event, without objective data on the environment, reconstructing incidents, anomalies and causes can be complex, slow and contentious.
Acoustic variations and abnormal behaviour can precede a technical problem, but they are often not monitored and interpreted systematically.
The sound behaviour of the environment is rarely collected and analysed continuously, so a potential source of operational knowledge is lost.
The solution
BB-S captures, protects and analyses the acoustic behaviour of the environment over time, building a persistent memory and a baseline of normal sound on which different applications can be built.
A continuous, protected sound memory for analysing events, anomalies and operating conditions before, during and after an occurrence.
The system learns the normal acoustic behaviour of the environment and detects significant variations, in support of maintenance, safety and prevention.
The sound environment is analysed over time to identify characteristics, events, variations and patterns that help in understanding operations.
Continuous 24/7 sound recording, designed to fit in as an information layer that complements the systems already in place.
Protected recordings, associated with timestamps and metadata useful for the technical reconstruction of events.
Built-in encryption and access control; configuration adaptable to the customer's policies and to the applicable requirements.
Models trained on the site's acoustic profile to detect and flag significant variations and anomalies.
Modular architecture, suited to pilot projects, multi-site deployments and different operating contexts.
Italian patent application no. 102025000024124, filed on 18 September 2025 and currently pending.