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Related Experiment Video

Updated: Nov 21, 2025

BtM, a Low-cost Open-source Datalogger to Estimate the Water Content of Nonvascular Cryptogams
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Sensor Node Network for Remote Moisture Measurement in Timber Based on Bluetooth Low Energy and Web-Based Monitoring

Mohamed Saban1,2, Leandro Daniel Medus1, Silvia Casans1

  • 1Department of Electronic Engineering, ETSE, University Valencia, Av. Universitat, s/n-46100 Burjassot, Valencia, Spain.

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|January 15, 2021
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Summary
This summary is machine-generated.

This study introduces an affordable Internet of Things (IoT) system using Bluetooth Low Energy (BLE) for real-time wood moisture monitoring. The system helps prevent wood rot in buildings and industries.

Keywords:
BLEIoTIoT networkSoCcloud servermoisture estimationweb applicationwood moisture sensor

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Area of Science:

  • Engineering
  • Materials Science
  • Computer Science

Background:

  • Moisture content in wood poses significant risks, leading to rot and structural damage.
  • Effective monitoring systems are crucial for preserving wooden structures and materials.
  • Existing methods may be costly, complex, or lack remote accessibility.

Purpose of the Study:

  • To develop an innovative, scalable, and low-cost Internet of Things (IoT) system for monitoring wood moisture content.
  • To create a compact and energy-efficient wireless sensor device utilizing Bluetooth Low Energy (BLE).
  • To establish a cloud-based platform for remote data visualization and network control.

Main Methods:

  • A resistance measurement method was employed for accurate moisture detection across a wide resistance range.
  • A BLE-incorporated microcontroller enabled digital control, low power consumption, and long battery life.
  • A cloud-based platform facilitated remote access and data management from various devices (PC, smartphone, tablet).

Main Results:

  • The developed system effectively monitors and transmits wood moisture content from multiple sensor nodes.
  • Data is centrally stored in a database for accessible monitoring and analysis.
  • The system demonstrated a practical solution for unattended, real-time moisture assessment.

Conclusions:

  • The proposed IoT system offers a cost-effective and scalable solution for wood moisture monitoring.
  • It provides a practical tool for preventing rot and damage in wooden buildings and the wood industry.
  • The system enhances the longevity and safety of timber structures through continuous monitoring.