SMART BUILDINGS: USE CASE FOR MIDDLEWARE FOR DATA VISUALIZATION AND DATA ANALYTICS

Buildings are becoming more intelligent and in the same time more complex, in due time with the advance in loT developments and innovations. This means more interconnected devices and more challenges to enhance tenant comfort, to reduce energy consumption and to assert the financial well-being of the space. Therefore, research on Smart Buildings is relevant to address opportunities for loT innovation in intelligent spaces, increase operational performance and improve efficiency. This work presents data platforms for dashboards and predictions trends, emphasizing multiple provocations in the field. Our objective is to build a middleware for scalable implementation to explore and visualize spatial and temporal data across buildings. We propose the understanding of the meaning behind data - using an open source backend tool as TICK stack with the front end of Chronograf or even Grafana which runs as a web application to create smart buildings sensing service.