scholarly journals A 3D Simulation System for Emergency Evacuation in Offshore Platforms

Author(s):  
Guilherme Bezerra Zampronio ◽  
Alberto Barbosa Raposo ◽  
Marcelo Gattass
Author(s):  
Hao Tang ◽  
Chun Wang ◽  
Pengfei Li ◽  
Linlin Du ◽  
Baoran An ◽  
...  

Author(s):  
Michael Garrett ◽  
Mark McMahon

Problem-based learning is an instructional strategy that emphasises the accumulation and development of knowledge via an active and experiential based approach to solving problems. This pedagogical framework can be instantiated using gaming technology to provide learners with the ability to control their learning experience within a dynamic, responsive, and visually rich three-dimensional virtual environment. In this regard, a conceptual framework referred to as the Simulation, User, and Problem-based Learning (SUPL) approach has been developed in order to inform the design of 3D simulation environments based on gaming technology within a problem-based learning pedagogy. The SUPL approach identifies a series of design factors relative to the user, the problem-solving task, and the 3D simulation environment that guide the learning process and facilitate the transfer of knowledge. This paper will present a simulation environment design according to this conceptual framework for a problem-solving task within the context of an underground mine emergency evacuation. The problem-solving task will be designed to satisfy learning objectives that relate to the development of knowledge and skills for emergency evacuation of the Dominion Mining’s Challenger mining operation located in South Australia.


2011 ◽  
Vol 26 ◽  
pp. 1370-1379 ◽  
Author(s):  
Feng Wei ◽  
Zhu Fangping ◽  
Lv Huiqing

Author(s):  
Syed Nasir Danial ◽  
Jennifer Smith ◽  
Faisal Khan ◽  
Brian Veitch

Abstract Situation awareness is the first and most important step in emergency management. It is a dynamic step involving evolving conditions and environments. It is an area of active research. This study presents a Markov Logic Network to model SA focusing on fire accidents and emergency evacuation. The model has been trained using empirical data obtained from case studies. The case studies involved human participants who were trained for responding to emergencies involving fire and smoke using a virtual environment. The simulated (queried) and empirical findings are reasonably consistent. The proposed model enables implementing an agent that exploits environmental cues and cognitive states to determine the type of emergency currently being faced. Considering each emergency type as a situation, the model can be used to develop a repertoire of situations for agents so that the repertoire can act as an agent’s experience for later decision-making.


2004 ◽  
Vol 13 (0) ◽  
pp. 87-94
Author(s):  
Hirokazu Muraki ◽  
Etsuji Kitagawa ◽  
Shigenori Tanaka ◽  
Hitoshi Furuta ◽  
Kazuki Nonaka

2000 ◽  
Vol 1 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Mingjie ZHANG ◽  
Masayoshi KAMIJO ◽  
Masayuki TAKATERA ◽  
Takao FURUKAWA ◽  
Yoshio SHIMIZU

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