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FPGA Based Meteorological Monitoring
Station
Víctor Asanza , Rebeca Estrada Pico, Danny Torres, Steven Santillan and Juan Cadena
Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador
Centro de Tecnologías de Información, CTI
Facultad de Ingeniería en Electricidad y Computación, FIEC
Topics
• Introduction
• Related Work
• High-resolution Data Acquisition
• Methodology and System Model
• Numerical Results
• Conclusions
FPGA Based Meteorological Monitoring
Station
Introduction
• Field Programmable Gate Array (FPGA)
• System on Chip (SoC)
• Nios II Processor
• Hard Processor System (HPS)
• Advanced RISC Machine (ARM)
Related Work
• M. Haefke et al. proposed a weather station
based on ZigBee, to monitor variables such as
temperature, pressure, sunlight intensity, and
humidity [6].
• Aziz et Al. proposed similar system based on
FPGA considering humidity and light intensity to
determine when to water the plants, using
neural networks [8].
• Shaari et Al. proposed a Artificial Neural
Network (ANN) based on FPGA for the
prediction of Solar Radiation using Data from
sunlight duration and average temperature [10].
High-resolution Data Acquisition
Dataset Citation:
Juan Cadena, Steven Santillan, Víctor Asanza, Rebeca
Estrada, July 11, 2021, "Weather Monitoring Station For
Farms And Agriculture", IEEE Dataport, doi:
https://dx.doi.org/10.21227/mdfs-ya42.
* Values are sampled each 30 seconds and saved as CSV.
Methodology and System Model
Methodology and System Model
Numerical Results
Numerical Results
Conclusions
For more information
Víctor Asanza
Mail: vasanza@espol.edu.ec
Facultad de Ingeniería en Electricidad y Computación, FIEC
Escuela Superior Politécnica del Litoral, ESPOL
Campus Gustavo Galindo Km 30.5 Vía Perimetral, P.O. Box 09-01-5863
090150 Guayaquil, Ecuador
Published in:
https://ieeexplore.ieee.org/abstract/document/9530151
Thank you!

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⭐⭐⭐⭐⭐ #FPGA Based Meteorological Monitoring Station

  • 1. FPGA Based Meteorological Monitoring Station Víctor Asanza , Rebeca Estrada Pico, Danny Torres, Steven Santillan and Juan Cadena Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador Centro de Tecnologías de Información, CTI Facultad de Ingeniería en Electricidad y Computación, FIEC
  • 2. Topics • Introduction • Related Work • High-resolution Data Acquisition • Methodology and System Model • Numerical Results • Conclusions FPGA Based Meteorological Monitoring Station
  • 3. Introduction • Field Programmable Gate Array (FPGA) • System on Chip (SoC) • Nios II Processor • Hard Processor System (HPS) • Advanced RISC Machine (ARM)
  • 4. Related Work • M. Haefke et al. proposed a weather station based on ZigBee, to monitor variables such as temperature, pressure, sunlight intensity, and humidity [6]. • Aziz et Al. proposed similar system based on FPGA considering humidity and light intensity to determine when to water the plants, using neural networks [8]. • Shaari et Al. proposed a Artificial Neural Network (ANN) based on FPGA for the prediction of Solar Radiation using Data from sunlight duration and average temperature [10].
  • 5. High-resolution Data Acquisition Dataset Citation: Juan Cadena, Steven Santillan, Víctor Asanza, Rebeca Estrada, July 11, 2021, "Weather Monitoring Station For Farms And Agriculture", IEEE Dataport, doi: https://dx.doi.org/10.21227/mdfs-ya42. * Values are sampled each 30 seconds and saved as CSV.
  • 11. For more information Víctor Asanza Mail: vasanza@espol.edu.ec Facultad de Ingeniería en Electricidad y Computación, FIEC Escuela Superior Politécnica del Litoral, ESPOL Campus Gustavo Galindo Km 30.5 Vía Perimetral, P.O. Box 09-01-5863 090150 Guayaquil, Ecuador