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Underwater Optical Sensorbot for In Situ pH Monitoring.

机译:水下光学Sensorbot用于原位pH监测。

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摘要

Continuous underwater observation is a challenging engineering task that could be accomplished by development and deployment of a sensor array that can survive harsh underwater conditions. One approach to this challenge is a swarm of micro underwater robots, known as Sensorbots, that are equipped with biogeochemical sensors that can relay information among themselves in real-time. This innovative method for underwater exploration can contribute to a more comprehensive understanding of the ocean by not limiting sampling to a single point and time. In this thesis, Sensorbot Beta, a low-cost fully enclosed Sensorbot prototype for bench-top characterization and short-term field testing, is presented in a modular format that provides flexibility and the potential for rapid design. Sensorbot Beta is designed around a microcontroller driven platform comprised of commercial off-the-shelf components for all hardware to reduce cost and development time. The primary sensor incorporated into Sensorbot Beta is an in situ fluorescent pH sensor. Design considerations have been made for easy adoption of other fluorescent or phosphorescent sensors, such as dissolved oxygen or temperature. Optical components are designed in a format that enables additional sensors. A real-time data acquisition system, utilizing Bluetooth, allows for characterization of the sensor in bench top experiments. The Sensorbot Beta demonstrates rapid calibration and future work will include deployment for large scale experiments in a lake or ocean.
机译:持续的水下观察是一项具有挑战性的工程任务,可以通过开发和部署可以在恶劣的水下条件下生存的传感器阵列来完成。应对这一挑战的一种方法是,一群微型水下机器人(称为Sensorbot)配备了生物地球化学传感器,可以实时在彼此之间传递信息。这种创新的水下勘探方法可以通过不将采样限制在单个点和时间上来帮助您更全面地了解海洋。在这篇论文中,Sensorbot Beta是一种低成本的全封闭式Sensorbot原型,用于台式表征和短期现场测试,以模块化的形式提供,它提供了灵活性和快速设计的潜力。 Sensorbot Beta是围绕一个由微控制器驱动的平台设计的,该平台包括用于所有硬件的商用现货组件,从而降低了成本并缩短了开发时间。集成到Sensorbot Beta中的主要传感器是原位荧光pH传感器。为了易于采用其他荧光或磷光传感器,例如溶解氧或温度,已进行了设计考虑。光学组件的设计格式可支持其他传感器。利用蓝牙的实时数据采集系统可以在台式实验中表征传感器。 Sensorbot Beta演示了快速校准,未来的工作将包括在湖泊或海洋中进行大规模实验的部署。

著录项

  • 作者

    Johansen, John.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Engineering Electronics and Electrical.;Engineering Marine and Ocean.
  • 学位 M.S.
  • 年度 2012
  • 页码 88 p.
  • 总页数 88
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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