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Mobile sensor concept for acoustic level estimation in bulk solids silos

In this paper, an innovative sensor concept for fill level estimation in bulk solid silos using knocking signals will be introduced. To prove feasibility, initial trials will be performed at filled and emptied test silos, recording the resulting sound as well as the vibrations of the silo structures. Based on the measurements, the systems' eigenmodes and reverberation times are identified as potential variables for the fill level evaluation. The underlying physical principles, the formation of eigenmodes in particular, will be examined and the calculated reverberation times will be put in relation to those determined in the initial trials. Finally, further actions of the ongoing research project, regarding finite elements models and machine learning, will be discussed.