Automated anomaly monitoring and detection system for FCU system

Abstract: This study proposes a AFDD system for Fan Coil Unit (FCU) system using an Internet of Things (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.