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相关概念视频

Uniform Depth Channel Flow: Problem Solving01:18

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
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Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
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Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
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Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
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考虑海洋电流干扰的AUV路径规划基于云桌面技术

Siyuan Hu1, Shuai Xiao2, Jiachen Yang2

  • 1School of Futrue Technology, Tianjin University, Tianjin 300072, China.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括

自主水下车辆 (AUV) 使用新的N-DDQNP模型来有效地规划路径,在动态海洋中导航. 这种人工智能方法改善了探索,并减少了复杂海洋环境中的导航时间.

关键词:
云桌面 云桌面 云桌面深度学习是一种深度学习.海流是目前的海洋流.海洋数据 海洋数据路径规划路径规划路径规划

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科学领域:

  • 海洋机器人和海洋探索.
  • 自主系统中的人工智能.
  • 导航和路径规划算法. 导航和路径规划算法.

背景情况:

  • 自主水下车辆 (AUV) 对于海洋探索至关重要,但由于不可预测的海洋潮流,它们面临着导航挑战.
  • 在动态的海洋环境中,有效的路径规划对于AUV任务性能和安全至关重要.
  • 现有的深度Q网络 (DQN) 算法存在缓慢的融合和有限的探索问题.

研究的目的:

  • 为AUV在动态海洋环境中开发一个改进的路径规划模型.
  • 为了解决传统的DQN算法在探索和融合速度方面的局限性.
  • 提高AUV导航安全性和效率,用于海洋能源检测和海洋资源勘探.

主要方法:

  • 提出了噪声网双DQN网络与优先级体验重复 (N-DDQNP) 模型.
  • 整合了一个噪音网络,以加强探索,并优先重复经验,以实现更快的融合.
  • 开发了一个复合奖励函数,考虑了海流,目标距离和避开障碍.

主要成果:

  • 与其他算法相比,N-DDQNP模型在各种海流和障碍场景中展示了优越的路径规划时间.
  • 使用真实海洋数据的实验验验证了模型在复杂环境中的有效性.
  • 通过云桌面技术建立了用户控制台-AUV连接,以进行直观的监控.

结论:

  • N-DDQNP模型为动态海洋环境的AUV路径规划提供了重大进展.
  • 复合奖励功能通过整合环境因素,有效地引导AUV.
  • 云桌面集成提高了AUV在水下勘探任务中的操作安全性和效率.