Autonomous Robot Platform for Acoustic Monitoring and Data Acquisition Applications

Andreas Männchen

Fraunhofer-Institut für Digitale Medientechnologien IDMT

Donnerstag, 21. März 2024 from 11:00 to 11:08

in Raum 7/9

Abstract:
Measurement data from various sensor modalities can serve as the foundation for event detection or the characterization and monitoring of objects and environments. These measurements can be conducted across relevant areas, specific locations, or directly on objects. Static measurements at a limited number of locations and/or at isolated points in time typically provide minimal information about spatial and temporal changes. In industrial applications, for instance, acoustic measurements and monitoring can offer additional insights into the condition of machinery and facilities, as well as events in rooms, factory halls, or outdoor areas, thereby complementing or replacing visual methods. This paper introduces a concept for an autonomous, mobile acoustic robot system designed for high-resolution spatial and temporal measurements of acoustic properties in environments and objects, specifically tailored for industrial purposes. It outlines exemplary applications, including the automated measurement of sound source directionality, determining optimal measurement positions for condition monitoring, anomaly detection, and assessing absorption behavior in rooms. The detailed description focuses on the scenario of room acoustic measurements, which the robot system is already capable of performing.

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