Implementing and integrating new technologies such as the Internet of Things (IoT), smart sensors, and information and communication technology (ICT) into building facilities generates a large amount of data that will be utilized to better manage building facilities specifically FCU. Automated fault detection and diagnostics(AFDD) systems assist facility managers in informing operators to perform scheduled maintenance and visualizing facility anomalies on building information models (BIM). This study proposes a AFDD system for FCU system using an IoT sensors and by visualizing faults in a BIM model. The proposed system shows the data management and anomaly detection and monitoring technique on the BIM. The experiment results demonstrated the framework's competence to detect anomalies in the FCU system. Furthermore, data collected from various simulated conditions of the building facilities was utilized to monitor and detect anomalies in the 3D model of the fan coil. The automated detection FCU anomalies on the BIM model and preliminary results of the system are demonstrated.

AUTOMATED ANOMALY MONITORING AND DETECTION SYSTEM FOR FCU SYSTEM / Villa, Valentina; Aliev, Khurshid; Piantanida, Paolo; Bruno, Giulia; Antonelli, Dario. - ELETTRONICO. - (2022), pp. 341-345. ((Intervento presentato al convegno Conference of European Council for Computing in Construction (EC3) tenutosi a Ixia, Rodhes nel 24-26 july 2022 [10.35490/EC3.2022].

AUTOMATED ANOMALY MONITORING AND DETECTION SYSTEM FOR FCU SYSTEM

Valentina Villa;Khurshid Aliev;Paolo Piantanida;Giulia Bruno;Dario Antonelli
2022

Abstract

Implementing and integrating new technologies such as the Internet of Things (IoT), smart sensors, and information and communication technology (ICT) into building facilities generates a large amount of data that will be utilized to better manage building facilities specifically FCU. Automated fault detection and diagnostics(AFDD) systems assist facility managers in informing operators to perform scheduled maintenance and visualizing facility anomalies on building information models (BIM). This study proposes a AFDD system for FCU system using an IoT sensors and by visualizing faults in a BIM model. The proposed system shows the data management and anomaly detection and monitoring technique on the BIM. The experiment results demonstrated the framework's competence to detect anomalies in the FCU system. Furthermore, data collected from various simulated conditions of the building facilities was utilized to monitor and detect anomalies in the 3D model of the fan coil. The automated detection FCU anomalies on the BIM model and preliminary results of the system are demonstrated.
File in questo prodotto:
File Dimensione Formato  
2022_EC3_v2.pdf

accesso aperto

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Creative commons
Dimensione 1.25 MB
Formato Adobe PDF
1.25 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2971828