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Structural Health Monitoring in Historical Buildings: A Network Approach

Department of Informatics, Ionian University, GR-49100 Corfu, Greece
Department of Audio and Visual Arts, Ionian University, GR-49100 Corfu, Greece
Department of Informatics and Telecommunications, University of Ioannina, GR-47100 Arta, Greece
Department of Environment, Ionian University, GR-29100 Zakynthos, Greece
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in the Proceedings of the 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA 2019), Piraeus, Greece, 20–22 September 2019.
Heritage 2020, 3(3), 796-818;
Received: 11 June 2020 / Revised: 12 July 2020 / Accepted: 13 July 2020 / Published: 16 July 2020
Structural health monitoring (SHM) in historical buildings can be achieved through systems that rely on Wireless Sensor Networks (WSNs). Such systems have the ability to acquire information fast and reliably, making them ideal for SHM applications. Historical buildings, having been exposed to the wear of time, are especially sensitive to any kind of intervention. As a result, keeping them as intact as possible is a critical factor for their integrity. In the current work, a low-cost WSN system and a synchronization algorithm are developed in order to be employed for SHM of historical buildings. The synchronization of WSN-based SHM systems is critical for the collection of accurate information describing the building’s condition. The effectiveness of the assumed hardware and the synchronization algorithm were evaluated with two experiments. The first took place under laboratory conditions and its results showcase the algorithm’s accuracy of synchronization. The second experiment was conducted in a real-world environment. For that purpose, the Ionian Campus Testbed was chosen since it comprises buildings that are more than 200 years old. These buildings are appropriate since they were built with thick stone walls which help determine the system’s effectiveness under such conditions. The results derived from the second experiment showcase the effects of the packet transmission collision avoidance mechanism utilized by the assumed hardware. Finally, an estimation of the average clock skew required for accurate information gathering is derived, based on the materials comprising a historical building. View Full-Text
Keywords: structural health monitoring; historical buildings; synchronization; WSN; IoT structural health monitoring; historical buildings; synchronization; WSN; IoT
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MDPI and ACS Style

Bezas, K.; Komianos, V.; Koufoudakis, G.; Tsoumanis, G.; Kabassi, K.; Oikonomou, K. Structural Health Monitoring in Historical Buildings: A Network Approach. Heritage 2020, 3, 796-818.

AMA Style

Bezas K, Komianos V, Koufoudakis G, Tsoumanis G, Kabassi K, Oikonomou K. Structural Health Monitoring in Historical Buildings: A Network Approach. Heritage. 2020; 3(3):796-818.

Chicago/Turabian Style

Bezas, Konstantinos, Vasileios Komianos, George Koufoudakis, Georgios Tsoumanis, Katerina Kabassi, and Konstantinos Oikonomou. 2020. "Structural Health Monitoring in Historical Buildings: A Network Approach" Heritage 3, no. 3: 796-818.

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