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Special Issue "Sensing Moisture in Timber: Measurement Techniques and IoT Monitoring Systems for Sensor Networks"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".

Deadline for manuscript submissions: 20 July 2021.

Special Issue Editor

Prof. Dr. Alfredo Rosado
Website
Guest Editor
Department of Electronic Engineering, University of Valencia, 46100 Burjassot, Spain
Interests: hardware implementation of algorithms; wood moisture sensing; IoT for sensor networks; hyperspectral sensing and processing
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Sensing moisture in timber is not trivial when dealing with low moisture content values. Dry timber is essential to avoid wood deterioration and keep its natural strength, especially when used in buildings, supporting frames, furniture, floors, walls, or any architectural design based on timber. Traditionally, timber has been used in construction for ages and is still used due to its isolation properties, strength, availability, and sustainability.

However, the main problem for this material lies in the deterioration that may arise in the case of biological attacks or moisture presence. It leads to an alteration of the internal structure losing the strength and, in the long term, causing the collapse of the structure.

Monitoring the moisture content of timber during the complete process from rough timber to its final use is important to maintain timber in good condition. In the case of hidden timber structures, it is common that the detection of problems comes too late, necessitating costly processes of restoration.

For adequate monitoring of timber moisture content, two main areas must be combined: an accurate measurement device and a monitoring system. Regarding accurate moisture content measurement, there are multiple techniques based on resistance, capacitance, microwaves, or a combination of different methods. This is an important area of research since moisture content values below 10% and the special characteristics of wood (internal structure, species) make it difficult to obtain an accurate value. Only complex and expensive devices may obtain moisture content values accurately. Low power and reduced size devices able to measure moisture content need to be developed for sensing timber in multiple locations by using remote monitoring. This Special Issue admits novel timber measurement methods providing accurate moisture content.

Traditionally, moisture content measurement was manually done by an operator using a handheld device checking different locations in the structure, as long as they were accessible. With the advent of IoT (Internet of Things), it is possible to deploy sensor networks that can gather information from multiple nodes, extract useful information, infer data trends, and obtain classification values from acquired data. This Special Issue welcomes any contribution related to communication systems valid for data transmission from nodes to a data server using different techniques, media, and protocols. The Special Issue also welcomes any contribution related to complete IoT systems (data server, user interfaces, etc.) and data analysis algorithms intended for timber analysis, especially related to moisture content analysis.

The list of proposed topics, but not limited to are the following:

  • Sensors for timber moisture content analysis and other properties in general
  • Timber sensing devices for remote sensing
  • Timber sensing devices for specific applications: drying ovens, stocked timber, structural timber, furniture, and others
  • Communication protocols intended for timber sensing nodes: low power, long-range, etc.
  • IoT infrastructure and applications for timber monitoring
  • Timber data analysis methods to detect and predict timber deterioration
  • Timber monitoring applications: heritage monitoring, civil infrastructures (bridges, columns, parking, public spaces, decorative areas), buildings, and houses

Prof. Dr. Alfredo Rosado
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • timber analysis
  • moisture content measurement in wood
  • remote monitoring
  • IoT applications for timber sensing
  • timber data analysis
  • timber health detection
  • timber deterioration prediction

Published Papers (1 paper)

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Research

Open AccessArticle
Sensor Node Network for Remote Moisture Measurement in Timber Based on Bluetooth Low Energy and Web-Based Monitoring System
Sensors 2021, 21(2), 491; https://doi.org/10.3390/s21020491 - 12 Jan 2021
Abstract
This paper proposes an IoT system based on wireless BLE connectivity to monitor the moisture content of wood, using a compact and low-cost moisture device that relies on a resistance measurement method valid for an ultra-wide range of resistance values. This device is [...] Read more.
This paper proposes an IoT system based on wireless BLE connectivity to monitor the moisture content of wood, using a compact and low-cost moisture device that relies on a resistance measurement method valid for an ultra-wide range of resistance values. This device is digitally controlled with a BLE-incorporated micro-controller characterized by its small size and low power consumption, providing long-life battery. The proposed system consists of two main parts: first, the BLE moisture device including the moisture content measurement and wireless capability (BLE); second, the cloud-based monitoring platform, providing remote visualization and control for all the sensor nodes of the network. The complete infrastructure shows how multiple nodes can read and transmit moisture content of timber in buildings using small and unattended devices, with data saved in a central database and monitored by multiple commercial devices such as PC, smartphone, tablet, etc. The proposed system is innovative, scalable and low cost, and it can be deployed in wooden buildings and the wood industry, providing a practical solution that will help to avoid rot and other damaging effects caused by the moisture content. Full article
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