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Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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 distances...

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Related Experiment Video

Updated: Jun 28, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
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FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review.

Laraib Khan1, Sriram Praneeth Isanaka1, Frank Liou1

  • 1Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
Summary
This summary is machine-generated.

Distributed digital factories (D2Fs) integrate digital twins and sensors for sustainable manufacturing. Field Programmable Gate Arrays (FPGAs) enhance near-real-time monitoring, optimizing resource use and reducing waste in D2Fs.

Keywords:
FPGA sensoradditive manufacturingdistributed digital factoriessustainabilitytraditional manufacturingtraditional sensors

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Area of Science:

  • Manufacturing Engineering
  • Sustainable Manufacturing
  • Embedded Systems

Background:

  • Distributed digital factories (D2Fs) integrate digital twins (DTs), sensors, laser additive manufacturing (laser-AM), and subtractive manufacturing (SM).
  • Innovative sensor technology is crucial for effective monitoring and control in D2Fs.
  • Field Programmable Gate Arrays (FPGAs) offer re-programmability, low power consumption, and high processing capabilities for real-time systems.

Purpose of the Study:

  • To review the convergence of D2Fs with advanced sensor technology, focusing on FPGAs.
  • To explore the role of FPGAs in enabling near-real-time monitoring and eco-efficient data management within D2Fs.
  • To identify future research directions for sustainable and resilient D2F operations.

Main Methods:

  • Literature review of recent advancements in FPGA-based sensors and their application in D2Fs.
  • Analysis of D2F frameworks incorporating digital twins, sensors, laser-AM, and SM.
  • Examination of eco-efficient data management and resource optimization strategies.

Main Results:

  • FPGAs are increasingly utilized for developing near-real-time monitoring systems in manufacturing networks.
  • FPGA-based sensors enhance the effectiveness of D2F operations through improved data acquisition and processing.
  • The integration of advanced sensors and FPGAs contributes to waste reduction and resource optimization.

Conclusions:

  • The synergy between D2Fs, advanced sensors (particularly FPGA-based), and digital twins paves the way for sustainable manufacturing.
  • Near-real-time monitoring enabled by FPGAs is key to optimizing resource utilization and minimizing waste.
  • Further research into FPGA applications will drive the development of more resilient and eco-efficient D2F systems.