Data-driven knowledge extraction is becoming one the greatest source of information to study and manage complex systems. Today, new challenges can be provided thanks to Information and Communication Technologies and IoT paradigm that are allowing big mass of data to be stored, processed and analyzed. In this paper an insight on data driven knowledge extraction potentiality in the field of smart construction engineering is given. In particular, the main technologies for supporting the decision-management phase in Architecture, Engineering and Construction Industry (AEC Industry) are analysed. To this aim, such technologies are classified in four fields and the main contributions presented in the related literature are singled out and discussed. Finally, some examples of the current applications in the AEC industry are presented and the gap for future development in this field is enlightened.
Enabling Technologies for Smart Construction Engineering: A Review / Parisi, Fabio; Mangini, Agostino Marcello; Fanti, Maria Pia. - ELETTRONICO. - (2020), pp. 9216951.1546-9216951.1551. (Intervento presentato al convegno 16th IEEE International Conference on Automation Science and Engineering, CASE 2020 tenutosi a Hong Kong, China nel August 20-21, 2020) [10.1109/CASE48305.2020.9216951].
Enabling Technologies for Smart Construction Engineering: A Review
Fabio Parisi;Agostino Marcello Mangini;Maria Pia Fanti
2020-01-01
Abstract
Data-driven knowledge extraction is becoming one the greatest source of information to study and manage complex systems. Today, new challenges can be provided thanks to Information and Communication Technologies and IoT paradigm that are allowing big mass of data to be stored, processed and analyzed. In this paper an insight on data driven knowledge extraction potentiality in the field of smart construction engineering is given. In particular, the main technologies for supporting the decision-management phase in Architecture, Engineering and Construction Industry (AEC Industry) are analysed. To this aim, such technologies are classified in four fields and the main contributions presented in the related literature are singled out and discussed. Finally, some examples of the current applications in the AEC industry are presented and the gap for future development in this field is enlightened.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
