SAVE - Smart Alarms & Verified Events
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False alarms are a major cost driver for owners of alarm
systems. To remedy this problem, we develop a novel alarm
verification service by leveraging the power of an alarm data
warehouse. By analyzing live streams of alarms, comparing them with
historic alarms and enriching them with information from open data,
our system learns how to identify false alarms, which helps human
responders in their decision about triggering costly intervention
forces or not.
In this project we will apply modern big data technology such as Spark SQL und Spark Streaming as well as state-of-the-art information retrieval and machine learning algorithms to solve this challenge with our industry partner Sitasys – one of the international leaders in secure alarm transmission.
Proceedings of the 21st International Conference on Extending Database Technology.
EDBT 2018, Vienna, Austria, 26-29 March 2018.
Verfügbar unter: https://doi.org/10.21256/zhaw-3487
Stampfli, Jan; Stockinger, Kurt,
107, S. 10.
Verfügbar unter: https://doi.org/10.21256/zhaw-3785