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

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。

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.