Probabilistic Construction of Semantic Symbols in Building Automation Systems

A method for the automatic discrimination of sensor and system behavior and construction of symbols with semantic meaning in a building automation system is introduced - SCRS (semantic concept recognition system). The automated method is based on statistical modelling of sensor behavior. A model of a sensor´s value sequences is automatically constructed. The model´s structure and parameters are optimized using an mini-batch model merging and parameter updating algorithm. Incoming sensor values are then conveyed to the model and the most probable path through the model to some particular state is computed. That classification can be interpreted as a semantic symbol or concept. The SCRS can be used as a security and care system for observation of persons and interpretation of scenarios. An example modelling a motion detector is discussed.