A Monitoring Framework for Smart Building Facilities Management

The demand for intelligent buildings contributing to improving efficiency in facilities management, energy consumption, and people’s safety demands technologies supported by the Internet of Things (IoT). In that regard, this paper introduces a monitoring framework tailored to that demand. A Proof-of-Concept (PoC) of the proposed framework proposes a system simulating IoT data to enhance the responsiveness of facility managers. It also provides data acquisition and analysis capabilities to identify critical events and anomalies within the smart building environments. They are supported by a containerized application for each layer: data harvesting, support layer, and data analysis. Several datasets (i.e., humidity, movement, temperature, and Light Emitting Diode (LED)) are simulated to monitor, analyze, and trigger alerts for temperatures, percentage of moisture, light consumption, and movement detection. The results demonstrate the feasibility of the proposed framework.