Surf sounds: predicting the valuable data of bubble sound emissions

海浪声：预测气泡声发射的有价值的数据

• 批准号: DP200102671
• 负责人: Prof Richard Manasseh
• 金额: $ 36.84万
• 依托单位: Swinburne University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-09-02 至 2024-02-16
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200102671
• 关键词: Surf; sounds; predicting; valuable; data

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.

这个项目旨在预测自然气泡的声音。这些音频信号包含有关气泡大小的数据，气泡大小控制着矿物、食品、制药和水行业的氧气吸收，从而控制产品质量。气泡也控制着海洋的二氧化碳吸收。这样的气体吸收几乎不可能用实验室传感器来监测。在海洋中，传感器很快就会被藻类阻挡。在工业中，液体要么不透明，要么太热。然而，容易测量的声音通过了。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得到解释，从而改变工业和环境测量。