Embedded Rule-Based Reasoning for Digital Product Memories
Christian Seitz, Steffen Lamparter, Thorsten Schoeler, Michael M. Pirker · 2010
A Digital Product Memory provides a digital diary of the complete product life cycle that is embedded in the product itself using smart wireless sensor technology. The data is hereby gathered by recording relevant ambi-ent parameters in digital form. In this paper, we present the architecture and cost-efficient implementation of an autonomous digital product memory that generates and interprets its diary using rule-based reasoning methods. As we assume an open, heterogeneous sensor infras-tructure, we rely on standard syntax and semantics pro-vided by the Web Ontology Language OWL. The digi-tal product memory collects and provides data using the OWL fragment OWL 2 RL which can be processed with standard rule engines. As rule engine we use CLIPS on embedded hardware and exemplify the application of the digital product memory e. g. for predictive mainte-nance.