Search

Additional file 1.

The present work proposes a methodological approach for modeling decisions regarding energy reduction in an elevator.This is achieved with the integration of existing as well as acquired knowledge, in a decision module implemented inthe electronics of an elevator. So far, elevators do not exploit information regarding their recent usage. In the developedsystem decisions are driven based on information arising from monitoring the use of the elevator. Monitoring providesvarious records of usage which consequently are used to predict elevator’s future usage and to adapt accordingly itsfunctioning. Till now, there are only elevators that encompass in their electronics algorithms with if then rules in orderto control elevator’s functioning. However, these if then rules are based only on good practice knowledge of similarelevators installed in similar buildings. Even this knowledge which unavoidably is associated with uncertainty is notencoded in a mathematically consisted way in the algorithms. The design, the implementation and a first pilot evaluationstudy of an elevator’s intelligent decision module are presented. The study concludes that the presented applicationsufficiently reduces energy consumption through properly controlled functioning