Smart Energy and Resource Usage Management (SERUM)
SERUM is a tool set for supporting decision making to improve energy and resource efficiency in buildings, factories and cities. It works on five basis technologies:
- a knowldege base containing semantic representation of objects (e.g. building, factory, proces, actor, behavior, etc.) supported by a relational database. OWL that offers higher degree of expresiveness is the language used to represents the semantics.
- a set of KDD (Knowledge Discovery in Database)/machine learning algorithms to extract rules and relationships on big data and to translate the results to OWL-compatible representation such as SWRL
- a set of reasoning algorithms for different decision making process, such as prediction, identification of anomalies, etc.
- a method to map different object representations (e.g. IFC, CAD, XML) to OWL
- an universal interface to different automation technologies (sensors and actuators)
Through those basis technologies SERUM offers the following functionalities:
- Automated identification and warning message of energy waste in a building or a factory
- Automated identification of potential improvements in energy and resource usage of users and processes in a building or a factory
- Remote controlling of heterogenous affected objects