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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.
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In pipe flow analysis, problems are typically categorized into three types — Type I, Type II, and Type III — based on the known parameters and the desired outcome. Each type of problem addresses specific engineering requirements using fluid properties, pipe characteristics, and operational conditions.
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Pipe Flowrate Measurement: Problem Solving01:28

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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...
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Related Experiment Video

Updated: Oct 2, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
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A Machine Vision-Based Pipe Leakage Detection System for Automated Power Plant Maintenance.

Nengsheng Bao1,2, Yuchen Fan1,2, Zihao Ye1,2

  • 1Department of Mechanical Engineering, Shantou University, 243 Daxue Road, Shantou 515063, China.

Sensors (Basel, Switzerland)
|February 26, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an automated system for detecting colorless liquid leaks in industrial pipes using machine vision. The system achieves high accuracy by analyzing thermal and visual imaging, improving power plant pipework maintenance.

Keywords:
automationimage processingmaintenancesystem monitoringvision system

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Area of Science:

  • Industrial Automation
  • Machine Vision
  • Non-Destructive Testing

Background:

  • Detecting colorless liquid effusions in industrial pipework is challenging due to poor visibility and illumination.
  • Existing methods struggle with identifying subtle leaks like water in complex environments.

Purpose of the Study:

  • To develop an automated inspection system for power plant pipework maintenance.
  • To detect colorless fluid effusions by leveraging their reflective and thermal properties.

Main Methods:

  • Utilized dual-source imaging (visible and infrared light) to capture effusion characteristics.
  • Developed a contour features algorithm integrating infrared and visible light image processing.
  • Implemented a decision-making tool based on image contour closure for classification.

Main Results:

  • The system demonstrated high classification accuracy, reaching up to 99% in real industrial settings.
  • Successfully detected colorless fluid effusions by analyzing reflective and thermal signatures.
  • Validated the system's suitability for industrial pipework maintenance requirements.

Conclusions:

  • The proposed machine vision system offers an effective solution for automated effusion monitoring in industrial environments.
  • Leveraging dual-source imaging and contour analysis significantly enhances leak detection capabilities.
  • The system provides a reliable and accurate method for power plant pipework inspection and maintenance.