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https://hdl.handle.net/20.500.14279/13929
Τίτλος: | Multi-constraint building partitioning formulation for effective contaminant detection and isolation | Συγγραφείς: | Timotheou, Stelios Panayiotou, Christos Kyriacou, Alexis Michaelides, Michalis P. Polycarpou, Marios M. |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Λέξεις-κλειδιά: | Buildings;Atmospheric modeling;Partitioning algorithms;Uncertainty;Artificial intelligence;Pollution measurement;Monitoring | Ημερομηνία Έκδοσης: | 14-Νοε-2016 | Πηγή: | 2016 IEEE Congress on Evolutionary Computation, CEC 2016; Vancouver Convention CentreVancouver; Canada; 24 July 2016 through 29 July 2016 | Conference: | IEEE Congress on Evolutionary Computation | Περίληψη: | © 2016 IEEE. Intelligent buildings are responsible for ensuring the indoor air quality for their occupants under normal operation as well as under possibly harmful contaminant events due to accidental or malicious actions. An emerging environmental control application is monitoring the intelligent buildings against the presence of such events, by incorporating various sensing technologies and distributed detection and isolation algorithms. The needed simplicity, the improved scalability and fault tolerance are some of the main reasons for choosing distributed approaches over centralized ones. Hence, the effective partitioning of buildings into smaller sections for contaminant detection and isolation approaches is of great importance. In this paper, we present an exact Mixed Integer Linear Programming (MILP) formulation for partitioning the building into smaller sections. The building is transformed into a graph which is partitioned into subgraphs indicating the groups of zones in each section while ensuring (i) maximum decoupling between the various subgraphs, (ii) strong connectivity between the zones of a subgraph and (iii) control of the number of allocated zones in each subgraph. The main contribution of this work is the automatic partitioning of the building into sections, which enables the distributed simulation, modeling, analysis and management of the intelligent building in real time, while ensuring the effective detection and isolation of contaminants in the building interior. | ISBN: | 9781509006229 | DOI: | 10.1109/CEC.2016.7744387 | Rights: | © IEEE | Type: | Conference Papers | Affiliation: | University of Cyprus Cyprus University of Technology |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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