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Control Systems01:10

Control Systems

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
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Battery-Less Industrial Wireless Monitoring and Control System for Improved Operational Efficiency.

Eduardo Hidalgo-Fort1, Juan Antonio Gómez-Galán2, Ramón González-Carvajal1

  • 1Department of Electronic Engineering, University of Seville, 41092 Seville, Spain.

Sensors (Basel, Switzerland)
|March 11, 2023
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Summary
This summary is machine-generated.

This study presents a self-powered wireless monitoring system for electro-refineries. The system enhances operational performance by enabling early detection of critical issues like short circuits using predictive maintenance.

Keywords:
LoRaWANbattery-lessenergy harvestingindustrial wireless monitoringwireless sensor network

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Area of Science:

  • Industrial automation
  • Smart sensing technology
  • Electro-refinery operations

Background:

  • Traditional electro-refinery monitoring systems lack real-time data and predictive capabilities.
  • Energy-harvesting devices and advanced network management are crucial for sustainable industrial operations.

Purpose of the Study:

  • To introduce a self-powered industrial wireless monitoring and control system for electro-refineries.
  • To enhance electro-refinery performance through smart sensing, network management, and predictive maintenance.
  • To enable real-time monitoring of cell voltage and electrolyte temperature for early disturbance detection.

Main Methods:

  • Development of a self-powered wireless monitoring and control system utilizing energy harvesting from bus bars.
  • Implementation of smart sensing for cell voltage and electrolyte temperature measurements.
  • Application of a neural network for predictive maintenance and early detection of anomalies.

Main Results:

  • Achieved a 30% increase in operational performance, reaching 97% in short-circuit detection.
  • Enabled earlier detection of short circuits by an average of 10.5 hours using a neural network.
  • Demonstrated real-time cell performance discovery and early reaction to critical disturbances.

Conclusions:

  • The developed system is a sustainable Internet of Things (IoT) solution for electro-refineries.
  • The system offers improved control, increased current efficiency, and reduced maintenance costs.
  • The wireless monitoring system facilitates easy maintenance and enhanced operational efficiency.