Next Article in Journal
Semantic Description of Quality of Data in Sensor Networks
Next Article in Special Issue
Monitoring and Assessment of Indoor Environmental Conditions after the Implementation of COVID-19-Based Ventilation Strategies in an Educational Building in Southern Spain
Previous Article in Journal
Optimising Speaker-Dependent Feature Extraction Parameters to Improve Automatic Speech Recognition Performance for People with Dysarthria
Previous Article in Special Issue
Analysis of Impact of Natural Ventilation Strategies in Ventilation Rates and Indoor Environmental Acoustics Using Sensor Measurement Data in Educational Buildings
Article

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

1
Department of Economics and Business Management, School of Industrial Engineering, University of Málaga, 29016 Málaga, Spain
2
Department of Computer Science, University of Jaen, 23071 Jaén, Spain
3
Department of Physics “Ettore Pancini”, University of Naples Federico II, 80126 Naples, Italy
4
Department of Computer Architecture and Technology, University of Granada, 18011 Granada, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Antonio Guerrieri
Sensors 2021, 21(19), 6461; https://doi.org/10.3390/s21196461
Received: 21 July 2021 / Revised: 17 September 2021 / Accepted: 21 September 2021 / Published: 27 September 2021
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. View Full-Text
Keywords: construction projects; execution phase; safety; falling objects; Internet of Things; Fuzzy Markup Language construction projects; execution phase; safety; falling objects; Internet of Things; Fuzzy Markup Language
Show Figures

Graphical abstract

MDPI and ACS Style

Martínez-Rojas, M.; Gacto, M.J.; Vitiello, A.; Acampora, G.; Soto-Hidalgo, J.M. 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. Sensors 2021, 21, 6461. https://doi.org/10.3390/s21196461

AMA Style

Martínez-Rojas M, Gacto MJ, Vitiello A, Acampora G, Soto-Hidalgo JM. 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. Sensors. 2021; 21(19):6461. https://doi.org/10.3390/s21196461

Chicago/Turabian Style

Martínez-Rojas, María, María J. Gacto, Autilia Vitiello, Giovanni Acampora, and Jose M. Soto-Hidalgo. 2021. "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" Sensors 21, no. 19: 6461. https://doi.org/10.3390/s21196461

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop