RFF Trøndelag (Regional Research Fund Trøndelag) will support Nicoustic by funding a Regional Qualification Project. The topic of the project is «Use of AI to interpret acoustic sensor data».
The novel sensor system we currently develop is able to perform non-intrusive measurements of levels of solids and liquids inside separators and other tanks in the process industry. These levels are identified through the attenuation of guided acoustic waves between ultrasonic transducers mounted along the wall outside of the process vessels. The non-intrusive character of the technology is its key differentiating factor compared to alternatives. The process inside the tanks does not need to be stopped for installation and/or maintenance of the sensors, which leads to considerable savings. Utilization of guided acoustic waves for this purpose is the first of its kind.
While a lot of progress has been made by Nicoustic on reliably estimating acoustic wave attenuation and levels in the tanks using traditional signal processing methods, this remains a complicated and challenging task. In this project we will explore alternative methods for signal processing and attempt using Artificial Intelligence (AI) for this purpose. Erlend Magnus Viggen (Nicoustic and NTNU) is the project manager for the pre-project and the work is conducted in collaboration with SINTEF Digital. The project will be carried out in 2025.