AUTOMATED ANOMALY MONITORING AND DETECTION SYSTEM FOR FCU SYSTEM

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.