A NOVEL COST-EFFECTIVE PRESSURE SENSOR BASED FLOOD MONITORING SYSTEM WITH IOT

Authors

  • Aaron Clyde Dublin Department of Electronics and Computer Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004
  • Merardo Arce Department of Mechanical Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004
  • Enrique Ortiz Department of Mechanical Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004
  • Ludi Mae Wong Department of Mechanical Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004
  • Kirk Patrick Villaruel Department of Electronics and Computer Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004
  • Hero Arante Department of Electronics and Computer Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004
  • Davenson Co Department of Mechanical Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004
  • Alvin Chua Department of Mechanical Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004
  • Edwin Sybingco Department of Electronics and Computer Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004
  • Maria Antonette Roque Department of Electronics and Computer Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Philippines 1004

DOI:

https://doi.org/10.11113/aej.v14.20668

Keywords:

Internet of Things (IoT), Wireless Sensor Networks, Flood Monitoring, Pressure Sensor, Microcontrollers

Abstract

Floods are one of the most frequent and destructive natural hazards in the world.  Early warning and flood monitoring is beneficial in the response and preparedness for this hazard. This paper presents a novel, low-cost flood monitoring system for disaster prevention, based on a pressure sensor. The system comprises a state-of-the-art microcontroller, a pressure sensor, and a security element. It is connected to an Internet of Things (IoT) cloud service, allowing for further data processing, interaction, and storage. The sensor data is processed to provide real-time flood measurements. The calibration data obtained from the designed system demonstrates a linear correlation between the water level and the sensor output. Additionally, the system was able to provide flood level measurements with an average error of 4.08% using the calibration equation, whereas a 4.40% error was obtained when using theoretical equations to determine the flood height.

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Published

2024-08-31

Issue

Vol. 14 No. 3: September 2024

Section

Articles

How to Cite

A NOVEL COST-EFFECTIVE PRESSURE SENSOR BASED FLOOD MONITORING SYSTEM WITH IOT. (2024). ASEAN Engineering Journal, 14(3), 53-61. https://doi.org/10.11113/aej.v14.20668