The Internet of Things (IoT) has brought about the opportunity to establish a new architecture for Smart Buildings that decentralizes systems and pushes analytics processing to the “edge”, or sensor unit, rather than the cloud or a central server. This ‘Edge’ or ‘fog’ computing provides real-time intelligence and enhances system agility while simultaneously offloading the heavy communications traffic. The hardware is ready for this change with the development of cheap and energy-efficient embedded processors. On the software side this distributed system lends itself to a deep learning approach to data analysis, intelligently selecting relevant data to be transferred and processed. What was for a long time a theoretical future is now being put into practice in our smart buildings, cities and the world of IoT. Traditionally, rule based systems have always been considered easier to analyze, but as patches of rules begin to be stacked on top of one another its simplicity dissipates. Furthermore, rule […]