@misc{10481/71361,
year = {2021},
url = {http://hdl.handle.net/10481/71361},
abstract = {The Internet of Things (IoT) paradigm is establishing itself as a technology to improve
data acquisition and information management in the construction field. It is consolidating as an
emerging technology in all phases of the life cycle of projects and specifically in the execution phase
of a construction project. One of the fundamental tasks in this phase is related to Health and Safety
Management since the accident rate in this sector is very high compared to other phases or even
sectors. For example, one of the most critical risks is falling objects due to the peculiarities of the
construction process. Therefore, the integration of both technology and safety expert knowledge
in this task is a key issue including ubiquitous computing, real-time decision capacity and expert
knowledge management from risks with imprecise data. Starting from this vision, the goal of this
paper is to introduce an IoT infrastructure integrated with JFML, an open-source library for Fuzzy
Logic Systems according to the IEEE Std 1855-2016, to support imprecise experts’ decision making
in facing the risk of falling objects. The system advises the worker of the risk level of accidents in
real-time employing a smart wristband. The proposed IoT infrastructure has been tested in three
different scenarios involving habitual working situations and characterized by different levels of
falling objects risk. As assessed by an expert panel, the proposed system shows suitable results.},
organization = {This research was funded by University of Naples Federico II through the Finanziamento
della Ricerca di Ateneo (FRA) 2020 (CUP: E69C20000380005) and has been partially supported by the
”Programa de ayuda para Estancias Breves en Centros de Investigación de Calidad” of the University
of Málaga and the research project BIA2016-79270-P, the Spanish Ministry of Science, Innovation and
Universities and the European Regional Development Fund-ERDF (Fondo Europeo de Desarrollo
Regional-FEDER) under project PGC2018-096156-B-I00 Recuperación y Descripción de Imágenes
mediante Lenguaje Natural usando Técnicas de Aprendizaje Profundo y Computación Flexible and
the Andalusian Government under Grant P18-RT-2248.},
publisher = {MDPI},
keywords = {Construction project},
keywords = {Execution phase},
keywords = {Safety},
keywords = {Falling objects},
keywords = {Internet of Things (IoT)},
keywords = {Fuzzy markup language},
title = {An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects},
doi = {10.3390/s21196461},
author = {Martínez Rojas, María and Gacto, María José and Vitiello, Autilia and Acampora, Giovanni and Soto Hidalgo, José Manuel},
}