Affiliation:
1. Dipartimento di Architettura, Università di Firenze
Abstract
The paper documents some of the results of the research program Smart Yard: Industry 4.0 Production Process aimed at reducing inefficiencies in construction site procedures by developing new management methods supported by digitisation processes that can memorise and monitor computational data and guide them towards specific purposes of production processes optimisation. In particular, the aim of the study is to propose evolved, highly efficient and innovative organisational and information management models that enable more reliable control of processes in the construction sector, mitigating unavoidable uncertainties while pursuing a more rational use of resources. The products developed to support the programme include two newly designed pieces of equipment with advanced functions, which can be configured as examples of site management systems such as a “smart factory” in the logic of Industry 4.0, illustrated below. One is a high-performance charging system for power banks to be used with portable power tools, while the other concerns a work standing desk that employs wireless communication protocols to dialogue with other devices at the construction site
Publisher
SIEV - Societa Italiana di Estimo e Valutazione
Reference19 articles.
1. Barone, G. (2021), Machine learning e intelligenza artificiale - Metodologie per lo sviluppo di sistemi automatici, Dario Flaccovio, Palermo, Italia.
2. Benvenuti, A. E Brotini, P. (2016), Gestione dei costi di cantiere, Grafill, Palermo, Italia.
3. Brunton, S. L. And Kutz, J.N. (2019), Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control, Cambridge University Press, https://doi.org/10.1017/9781108380690
4. Carfagni, M. (2017), Prototipazione rapida, Coedizione Zanichelli - In riga, Bologna, Italia.
5. Chua, C. K., Leong, K. F., Lim, C. S. (2010). Rapid Prototyping: Principles and Applications, World Scientific Publishing Company, Singapore, https://doi.org/10.1142/6665