Surf sounds: predicting the valuable data of bubble sound emissions

该项目旨在预测自然的气泡声音。这些音频信号包含有关气泡大小的数据，这些数据控制氧气吸收，从而控制矿物，食品，制药和水行业的产品质量。气泡还控制着海洋对二氧化碳的吸收。这种气体吸收几乎不可能用实验室传感器监测。在海洋中，传感器很快就会被藻类阻挡。在工业中，液体是不透明的或太热的。然而，易于测量的声音可以通过。实验和计算机模拟将允许预测气泡发出的音量和频率。这将使有价值的数据能够从复杂的声音中解读出来，改变工业和环境测量。

This project aims to predict natural bubble sounds. These audio signals contain data on the bubble size, which controls oxygen absorption, and thus product quality, in minerals, food, pharmaceuticals and water industries. Bubbles also control ocean carbon-dioxide absorption. Such gas absorption is almost impossible to monitor with laboratory sensors. In the ocean, sensors are quickly blocked by algae. In industry, liquids are opaque or too hot. However, the easily-measured sounds get through. Experiments and computer simulations would allow the sound volume as well as frequencies emitted by bubbles to be predicted. This would enable valuable data to be interpreted from complex sounds, transforming industrial and environmental measurements.