Visualization of Real-Time Smart Home Data Using PowerBI

IoT has experienced tremendous advancement over the last decade; this is due to the benefits like data acquisition, data processing, and communication capabilities. Smart Home (SH) takes the key benefits of the IoT to increase the resident’s quality of life. In SH most of the devices ranging from toothbrushes to television are connected to the internet; these devices generate the massive amount of data and that needs to be analyzed. This article presents the real-time streaming analysis of smart home data. The proposed work comprises of three phases: (1) Data acquisition, (2) Data Processing, and (3) Data Analytics. In this work, the RasberryPi3 B models are used to collect data from the smart home environment. RaspberryPi3 is used as an edge node, and which is used to accomplish the data processing task. The processed data is used to create visuals, which helps in understanding the data, and to impart better decisions. This work uses PowerBI services to create visuals and notifications.