Modern electronic-based systems (EBS) make human life so much easier. Now-a-days they can’t think of doing work without electronic devices. The modern EBS is usually formed using a combination of innovative systems and integrated software. Due to the ever-increasing availability of cheap and low-power electronic hardware, in recent years it has become possible to deploy large sensor networks for the fine monitoring of environments, machines, and all kinds of complex systems. The optimization of such sensor networks is, however, of paramount importance, in order to reduce the cost and energy consumption, by minimizing the number of deployed sensors and the amount of transferred data. The optimization can be performed using Data Science, from the individual sensors to the network levels. Especially examples in the field of renewable energy, like the monitoring of photovoltaic (PV) power plants or the indoor monitoring for better air quality for example show these possibilities.
Christina is the Head of Division Sensor Systems at Silicon Austria Labs (Sal) located in Villach. Christina is a physicist with working experience in fields like thermal engineering, renewable energy, smart systems, and sensor systems.
(Image / Video (c) Johanna Dulnigg, FH Kärnten)