2026-09-18T21:41:31Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32907479 2026-07-06T11:37:56Z portal_1132 item_type_8 month_year_07_2026

Audio for Flow Monitoring in Wastewater Jess Holland (21042506) audio audio-based monitoring audio-based sensing contact microphones digitalisation flow monitoring monitoring process monitoring sensing sensors sewage collection wastewater wastewater industry wastewater monitoring wastewater treatment plant Digitalisation can greatly improve process control in wastewater systems but requires increased sensing and monitoring that can provide actionable information. Audio is underutilised as a sensor input despite fluid flow naturally generating sound through different physical processes. This thesis investigates low-cost non-invasive microphones for flow monitoring, laying the groundwork with a qualitative interview study of barriers and opportunities in the wastewater industry before deploying microphones in three fluid flow applications of increasing complexity. High accuracy is achieved with either linear or machine learning-based predictive models, and it is shown that the audio characteristics of importance are dependent on the application.<p></p> 2026-07-20T00:00:00Z Text Thesis 10779/exe.32907479.v1 https://figshare.com/articles/thesis/Audio_for_Flow_Monitoring_in_Wastewater/32907479 All rights reserved