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首页> 外文期刊>Advances in Mechanical Engineering >Stability and economy analysis based on computational fluid dynamics and field testing of hybrid-driven underwater glider with the water quality sensor in Danjiangkou Reservoir:
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Stability and economy analysis based on computational fluid dynamics and field testing of hybrid-driven underwater glider with the water quality sensor in Danjiangkou Reservoir:

机译:基于计算流体力学和带水质传感器的混合动力水下滑翔机现场测试的稳定性和经济性分析:

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Hybrid-driven underwater glider is a new kind of unmanned platform for water quality monitoring. It has advantages such as high controllability and maneuverability, low cost, easy operation, and ability to carry multiple sensors. This article develops a hybrid-driven underwater glider, PETRELII, and integrates a water quality monitoring sensor. Considering stability and economy, an optimal layout scheme is selected from four candidates by simulation using computational fluid dynamics method. Trials were carried out in Danjiangkou Reservoir—important headwaters of the Middle Route of the South-to-North Water Diversion Project. In the trials, a monitoring strategy with polygonal mixed-motion was adopted to make full use of the advantages of the unmanned platform. The measuring data, including temperature, dissolved oxygen, conductivity, pH, turbidity, chlorophyll, and ammonia nitrogen, are obtained. These data validate the practicability of the theoretical layout obtained using computational fluid dynamics ...
机译:混合动力水下滑翔机是一种新型的无人水质监测平台。它具有诸如高可控性和可操纵性,低成本,易于操作以及能够携带多个传感器的优点。本文开发了一种混合动力水下滑翔机PETRELII,并集成了水质监测传感器。考虑到稳定性和经济性,使用计算流体动力学方法通过仿真从四个候选对象中选择了最佳布局方案。在南水北调中线重要水源丹江口水库进行了试验。在试验中,采用了多边形混合运动的监控策略,以充分利用无人驾驶平台的优势。获得包括温度,溶解氧,电导率,pH,浊度,叶绿素和氨氮在内的测量数据。这些数据验证了使用计算流体动力学获得的理论布局的实用性。

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