Autonomous and Adaptive Subsea Sensor for Optical Measurement of Very-Near Seafloor Fluid Flows

用于光学测量极近海底流体流动的自主自适应海底传感器

• 批准号: 9360530
• 负责人: Robert Owen
• 金额: $ 6.5万
• 依托单位: Owen Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-01-01 至 1994-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9360530&HistoricalAwards=false
• 关键词: Autonomous; Adaptive; Subsea; Sensor; Optical

9360530 Owen This research program involves an autonomous and adaptive subsea sensor that measures very-near seafloor fluid flows, suspended particulates, and momentum exchanges in the coastal environment. We use computer-aided speckle interferometry to deduce a two- dimensional flow field from particulate speckle patterns. Particulates are sampled through long-distance microscopy. The sensor has a temporal resolution greater than 33 ms over sub- millimeter to meter scales. The system includes a laser, microprocessor, video cameras, optics, and a recorder. Power requirements are low--the sensor operates autonomously for months. We conserve power with neural networks--the sensor monitors environmental changes and samples accordingly.

9360530欧文这项研究计划涉及一个自主和自适应的海底传感器，该传感器测量非常接近海底的流体流动、悬浮颗粒和沿海环境中的动量交换。我们使用计算机辅助散斑干涉法从颗粒散斑图样中推导出二维流场。通过远程显微镜对颗粒进行采样。该传感器的时间分辨率在亚毫米到米尺度上大于33ms。该系统包括激光器、微处理器、摄像机、光学元件和录像机。电力需求很低--传感器可以自主运行数月。我们使用神经网络节省电力--传感器监测环境变化并相应地采样。