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相关概念视频

Pipe Flowrate Measurement01:28

Pipe Flowrate Measurement

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In pipe flow measurement, orifice, nozzle, and Venturi meters are commonly used to determine fluid flowrates by constricting the flow area, which increases fluid velocity and reduces pressure. This pressure difference, governed by Bernoulli's principle and adjusted for real-world conditions, is essential for calculating flowrate. Each meter type is suited to specific applications based on accuracy, efficiency, and compatibility with various flow conditions.
The orifice meter is a simple,...
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Measurement of Fluid Pressure01:16

Measurement of Fluid Pressure

563
Fluid pressure is commonly measured using devices called manometers, which rely on liquid columns to indicate pressure differences. The height of a liquid column in a manometer reflects the pressure exerted by the fluid, providing a simple yet effective means of measurement. Different types of manometers serve specific purposes based on their configurations and the type of fluids involved.
A basic form of manometer is the piezometer, a vertical tube open at the top and filled with the same...
563
Pipe Flowrate Measurement: Problem Solving01:28

Pipe Flowrate Measurement: Problem Solving

785
A spray tank system is engineered to uniformly distribute a pest-control liquid across plants by using a pressurized mechanism. The tank, pressurized to 150 kPa, holds the pesticide at a height of 0.80 meters. Liquid flows from the tank through a 1.9 meter pipe with a diameter of 0.015 meters, angled at 0.698 radians, ultimately reaching a 0.007 meter nozzle that sprays the pesticide. Accurate calculation of the system's flow rate is crucial to ensure uniform application, and this is achieved...
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Multiple Pipe Systems01:21

Multiple Pipe Systems

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Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
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Pressure of Fluids01:14

Pressure of Fluids

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There are many examples of pressure in fluids in everyday life, such as in relation to blood (high or low blood pressure) and in relation to weather (high- and low-pressure weather systems). A given force can have a significantly different effect, depending on the area over which the force is exerted. For instance, a force applied to an area of 1 mm2 has a pressure that is 100 times greater than the same force applied to an area of 1 cm2. That's why a sharp needle is able to poke through...
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Fluid Pressure01:14

Fluid Pressure

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In mechanical engineering, fluid pressure plays a critical role in designing systems that utilize liquid flow, such as hydraulic systems, pumps, and valves. When designing these systems, engineers must ensure they can withstand the forces created by fluid pressure to avoid damage or failure.
According to Pascal's law, a fluid at rest will generate equal pressure in all directions. This pressure is measured as a force per unit area, and its magnitude depends on the fluid's specific...
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相关实验视频

Updated: Jan 9, 2026

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
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High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

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智能水管理:一种基于物联网的能源自主应用程序,用于在水分系统中监测压力和流量.

Jonatha B Silva1, Lucas D de Oliveira1, Rafael M Duarte2

  • 1Renewable and Alternatives Energies Center (CEAR), Electrical Engineering Department (DEE), Campus I, Federal University of Paraiba (UFPB), João Pessoa 58051-900, Brazil.

Sensors (Basel, Switzerland)
|December 11, 2025
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概括

这项研究开发了一种自主物联网 (IoT) 节点,用于监测城市供应网络中的水压和流量. 收集的数据训练人工神经网络,准确预测实时的水流.

关键词:
这就是TEDA.人工神经网络的人工神经网络物联网的东西互联网.异常值是一个异常值.供应水供应水供应水供应水供应

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Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
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Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
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Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
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科学领域:

  • 环境工程 环境工程
  • 水资源管理 水资源管理
  • 传感器网络 传感器网络

背景情况:

  • 城市供水部门在管道维护,压力/流量控制和水质监测方面面临着挑战.
  • 精确测量流速和压力对于优化城市配水系统至关重要.
  • 像智能传感器和无线传感器网络这样的新兴技术为这些挑战提供了解决方案.

研究的目的:

  • 详细介绍一个自主物联网 (IoT) 节点的开发,用于监测供水网络中的压力和流量.
  • 为了解决创建这样一个物联网节点所面临的挑战,并提出解决方案.
  • 通过人工神经网络利用收集的数据来预测系统流动.

主要方法:

  • 开发一个低成本,自主物联网节点,能耗低,可通过互联网进行实时数据通信.
  • 数据预处理以从物联网节点收集的测量中删除异常值.
  • 训练一个人工神经网络模型,使用处理的数据来预测水流.

主要成果:

  • 开发的物联网节点成功地从供水网络中收集压力和流量数据.
  • 在物联网数据上训练的人工神经网络模型,证明了预测系统流量的能力.
  • 该研究验证了使用物联网节点在城市配水中实时流量预测的可行性.

结论:

  • 自主物联网节点为监控城市配水系统提供了可行的,低成本的解决方案.
  • 物联网数据与人工神经网络的整合使得准确的实时流量预测成为可能.
  • 这项技术提高了供水网络的效率和管理.