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ARTIFICIAL INTELLIGENCE IN BUILDING SITE MANAGEMENT

A. Cucurnia

First published: 2019https://doi.org/10.5593/SWS.ISCAH.2019.1/S21.041View metrics

Abstract

The paper documents the research program entitled "SY4.0, Smart Yard: Industry 4.0 Production Process" financed with European funds under the ERDF Regional Operational Program 2014-2020. The research, through the use of automatic field data processing systems and their integration in the design, through the realization of technological demonstrators and through the improvement of operating activities and disseminating and sharing information, aims to come up with a new modalities for yard management based on digitized processes able to collect and monitor the computational data and to direct them towards specified purposes of production processes optimization. In particular, the specific objectives of the project concern: the exploitation of operative technologies; the rationalization of resources through the reduction of waste and reuse in the life cycle of the building of some construction site devices; the protection of the safety, security and well-being of workers. These intentions are reflected in the proposition of an evolved organizational and management model which, through the prefiguration of the working steps, allows a more reliable control of the production process, mitigating the inevitability of the characteristic uncertainty scenarios and achieving more rational use of resources. In order to achieve the objectives, the methodological measures proposed concern: base scenario analysis; recognition on the construction site management technologies in Industry 4.0 perspective; IT platform development and sensors design. The results of the research are: high-performance power supply systems, power bank recharging hubs; hybrid lighting systems; remote monitoring tower of construction sites; smart dust suppression; IT platform for workflow digitization; work stations and devices based on low-invasive sensors and wireless communication protocols. In order to test their actual effectiveness, the devices developed will be individually checked by their producers and then, connected in the new management model, validated in a pilot yard.

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Publication details

Title
ARTIFICIAL INTELLIGENCE IN BUILDING SITE MANAGEMENT
Authors
A. Cucurnia
Proceedings
6th SWS International Scientific Conference on Arts and Humanities ISCAH 2019
Publisher
STEF92 Technology
Year
2019
Pages
313-320
SWS Citekey
Cucurnia201921313320
ISSN
2682-9940
ISBN
978-619-7408-90-4
Language
en
Publication type
Proceedings Paper
Proceedings contents
Open official contents
Keywords
References6
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  3. Tagliabue L.C., Mastrolembo Ventura S. (a cura di), BIM e cantiere digitale 4.0. Il cantiere edile e infrastrutturale tra data analytics e internet of things, Grafil Ed., Palermo, 2019

  4. Danea Software, Guida alla Produttività e alla Gestione del Tempo e delle Priorità, https://www.danea.it/

  5. Di Battista V., Giallocosta G., Miniati G., Architettura e Approccio Sistemico, ed. Polimetrica Milano, 2006

  6. Osello A., Building Information Modelling ‐ Geographic Information System ‐ Augmented Reality per il Facility Management (BIM ‐ GIS ‐ AR for FM), Dario Flaccovio Editore, Palermo, 2015

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