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相关概念视频

Indefinite Integrals01:25

Indefinite Integrals

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The water inflow rate into a storage tank is not constant but increases over time. Initially, the pump delivers water at a rate of 5 L/min. However, the inflow rate increases by 2 L/min for each additional minute due to rising pressure or system adjustments. This scenario can be described mathematically by a linear function:It is necessary to integrate the inflow rate function to measure the total volume of water added to the tank over time. The total water volume V(t) is obtained by performing...
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Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
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Design Example: Maintaining Level of an Embankment01:19

Design Example: Maintaining Level of an Embankment

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Constructing a roadway embankment over uneven terrain requires precise leveling to ensure stability and proper drainage. Surveyors use a leveling instrument and staff to calculate ground elevations and determine the required fill material at each point along the embankment alignment.The process begins by positioning a leveling instrument near a benchmark with a known elevation. A backsight reading establishes the instrument height, which serves as a reference for subsequent measurements. A...
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Modeling and Similitude01:12

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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Buoyancy and Stability for Submerged and Floating Bodies01:11

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In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
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相关实验视频

Updated: Jan 13, 2026

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基于深度强化学习的智能水位控制:从模拟到嵌入式实现

Kevin Cusihuallpa-Huamanttupa1,2, Erwin J Sacoto-Cabrera3, Roger Jesus Coaquira-Castillo4

  • 1TESLA Laboratory, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Cusco 08003, Peru.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
概括
此摘要是机器生成的。

这项研究展示了一种使用低成本微控制器的深度强化学习 (DRL) 的新型智能水位控制系统. 该系统实现了对实时水资源管理应用的卓越准确性和适应性.

关键词:
这是一个Arduino Uno.DDPG算法中的一个算法.深度强化学习的学习.神经网络的神经网络的神经网络实时系统实时系统.控制水位的水位控制.

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科学领域:

  • 控制系统工程 控制系统工程
  • 人工智能的人工智能
  • 嵌入式系统 嵌入式系统

背景情况:

  • 传统的水位控制系统经常在动态和非线性条件下扎.
  • 在资源有限的硬件上实施先进的控制算法带来了重大挑战.

研究的目的:

  • 设计,模拟和实施使用深度强化学习 (DRL) 的智能水位控制系统.
  • 在低成本嵌入式平台上验证基于DRL的控制器的实时性能和适应性.

主要方法:

  • 利用深度决定性政策梯度 (DDPG) 算法在MATLAB模拟中训练演员关键神经网络.
  • 在Arduino Uno微控制器上部署了优化控制策略,以便实时嵌入式实现.
  • 评估了控制器对外部干扰和传感器噪声的性能.

主要成果:

  • 基于DRL的控制器在物理实现中实现了<0.05厘米的稳定状态误差和16%的超越.
  • 与传统的比例积分导数 (PID) 控制器相比,跟踪精度得到了22%的改进.
  • 成功适应实时的外部干扰和传感器噪声.

结论:

  • 深度增强学习,特别是DDPG,对于低成本嵌入式系统的实时智能水资源管理是可行的.
  • 拟议的架构适用于基于物联网 (IoT) 的水资源管理,智能农业和分布式传感器网络.
  • 这项工作强调了在资源有限的微控制器上部署DRL的新性,以实现可靠的控制应用.