DocumentCode
2594995
Title
An adaptive intelligent architecture for fire detection and fire management
Author
Alwast, T. ; Leung, C.H.C.
Author_Institution
Dept. of Comput. & Math. Sci., Victoria Univ. of Technol., Melbourne, Vic., Australia
Volume
2
fYear
1997
fDate
28-31 Oct 1997
Firstpage
1113
Abstract
An intelligent agent architecture is described, which can detect and diagnose exceptional events in the environment and which can automatically and intelligently respond to each situation. In particular, the design of a fire monitoring and fire management agent is presented, which can be utilised in large compartmented enclosures such as multi-storied buildings. The development and spread of the fire, including the condition of fire safety equipment and the stage of evacuation reached, are continually monitored by the agent. From the environmental information, the agent devises an appropriate plan of action, which is continually updated, and implements it through the activation of appropriate components. The implementation of a prototype of the intelligent agent using the IBM Agent Building Environment Developer´s Toolkit is described
Keywords
adaptive systems; computerised monitoring; diagnostic expert systems; emergency services; fires; safety systems; software agents; IBM Agent Building Environment Developer´s Toolkit; adaptive intelligent architecture; environmental information; evacuation; exceptional events detection; exceptional events diagnosis; fire detection; fire management; fire monitoring agent; fire safety equipment condition; fire spread; intelligent agent architecture; large compartmented enclosures; multi-storied buildings; plan of action; prototype; Application software; Architecture; Buildings; Computer architecture; Condition monitoring; Engines; Event detection; Fires; Intelligent agent; Intelligent systems; Monitoring; Prototypes; Safety devices;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.669156
Filename
669156
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