Sven Ruediger
With a deep-rooted passion for open-source technology, Sven has been an avid FreeBSD user since 2000. Over the past 7+ years, Sven has actively contributed to the FreeBSD Ports collection. His expertise lies in big data and streaming technologies, where he turns his passion into FreeBSD ports :-). Currently, he is completing an M. Sc. in Data Science, further honing his skills and expanding his knowledge to tackle complex data challenges.
Session
In an ever-evolving landscape of home automation, FreeBSD stands out as a reliable platform for integrating advanced technologies. This presentation showcases a FreeBSD-based smart home system that combines Home Assistant for data normalization, Apache Kafka for real-time event handling, and OpenSearch for long-term data storage and machine learning predictions.
The system efficiently manages essential household functions like lighting, shutters, and energy management, leveraging KNX for robust in-house communication and ReST-APIs for flexible external integrations. Its architecture supports various data sources, facilitating real-time analytics and enabling automated, responsive environments.
Prioritizing energy optimization and user comfort, the system not only highlights the potential of open-source solutions in everyday life but also discusses practical implementations and the challenges addressed in creating a self-learning, energy-efficient smart home environment.