Intelligent Decisions Modeling for Energy Saving in Lifts:An Application for Kleemann Hellas Elevators

作     者：Vasilios Zarikas Nick Papanikolaou Michalis Loupis Nick Spyropoulos 

作者机构：Department of Electrical Engineering Informatics Division ATEI Lamias Lamia Greece Department of Electrical Engineering Power Electronics Division ATEI Lamias Lamia Greece Department of Electrical Engineering Theory Division Academic Institute of Technology of Lamia ATEI Lamias Lamia Greece Research and Development Division Kleeman Hellas Kilkis Greece 

出 版 物：《Energy and Power Engineering》 (能源与动力工程（英文）)

年 卷 期：2013年第5卷第3期

页      面：236-244页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Elevators Energy Consumption Reduction Energy Engineering Applied Bayesian Networks Applied Decision Networks Applied Influence Diagrams Applied Intelligent Decisions Fuzzy Rules 

摘      要：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 in the electronics of an elevator. So far, elevators do not exploit information regarding their recent usage. In the developed system decisions are driven based on information arising from monitoring the use of the elevator. Monitoring provides various records of usage which consequently are used to predict elevator’s future usage and to adapt accordingly its functioning. Till now, there are only elevators that encompass in their electronics algorithms with if then rules in order to control elevator’s functioning. However, these if then rules are based only on good practice knowledge of similar elevators installed in similar buildings. Even this knowledge which unavoidably is associated with uncertainty is not encoded in a mathematically consisted way in the algorithms. The design, the implementation and a first pilot evaluation study of an elevator’s intelligent decision module are presented. The study concludes that the presented application sufficiently reduces energy consumption through properly controlled functioning.