DocumentCode :
157051
Title :
Emergency escape methodology powered by businesses process modeling
Author :
Pavlicek, Josef ; Koci, Jan ; Naplava, Pavel
Author_Institution :
Fac. of Electr. Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
1
Lastpage :
4
Abstract :
Business process modeling for understanding and increasing company effectivity is common today. BPM (Business Process Models) allow to describe company business processes, better understand and influence them. These tasks are done for increasing company business. Very often is ability to understand business, to open new opportunities, to make business or to design process to be fluent and understandably for customers. To understand process and to be able to make it fluent opens opportunity to use BPM for modeling the emergency escape models for buildings etc. The escape emergency methodology powered by BPM we are calling B.H.H.E Methodology. This methodology allows in comparison with common escape plans (for example: ISO 23601:2009), use these factors as: 1 human beings movement ability 2 stress and human beings movement influenced thanks broken routes (for example via fire, smoke etc.). In common escape plans is the main goal to place escapes routes fluently and so innate. B.H.H.E Methodology uses Artificial Intelligence controlled models and allows escape process prediction in real time. This is useful for planning emergency steps and for evaluating possible solutions in real time. It is helpful for setting emergency resources (for example fire fighters placing) and the most effectively saving lives. BPM model helps orchestrate and synchronize all processes which must be done during evacuation, can show them in real time and allows modeling possible resources according to the Escape prediction model.
Keywords :
artificial intelligence; business data processing; emergency management; B.H.H.E methodology; BPM model; ISO 23601:2009; artificial intelligence; company business process modeling; emergency escape methodology; emergency planning; emergency resources; escape prediction model; escape process prediction; escape routes; fire fighter placing; human being movement ability; process orchestration; process synchronization; stress analysis; Business; Computational modeling; Elevators; Navigation; Predictive models; Real-time systems; Artificial Intelligence; BlueTooth; Business Process Modeling; Emergency; Escape plan; Human being; Methodology; Mobile navigation; Safety; Wifi;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/IGBSG.2014.6835275
Filename :
6835275
Link To Document :
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