RFID Data Cleaning for Shop Floor Applications

DOI: 10.1007/978-3-642-03462-6_7


In several case studies we found that shop-floor
applications in manufacturing pose special challenges to cleaning RFID data. The underlying problem in many scenarios is
the uncertainty about the exact location of observed RFID tags. Simple filter

s provided in common middleware solutions do not cope well with these challenges. Therefore we have developed an approach
based on maximum-likelihood estimation
to infer a tag's location within the reader range. This enables improved RFID data cleaning
in a number of application scenarios. We stress the benefits of our approach along exemplary application scenarios that we
found in manufacturing. In simulations
and experiments with real world data we show that our approach outperforms existing solutions. Our approach can extend RFID
middleware or reader firmware, to improve the use of RFID in a range of shop-floor applications.

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