Characterization and evolution of emergency scenarios using hybrid Petri net

Abstract Accident scenarios are the foundations of emergency responses. Hybrid Petri net is used to model emergency scenarios and responses comprehensively and systematically. Here, both the discrete events of scenarios and their evolution are characterized clearly. Elements of accident scenarios are expressed normatively using a knowledge element model and hierarchical theory, providing standardized descriptions of the different scenario stages. Then, a case study of an oil pipeline leak is examined to verify the logic of the hybrid Petri net and the expressions of attributes using the knowledge element model. The results show objective realizations of the scenario and the evolution of emergent events, enabling a formalized expression of emergency knowledge that can be used to establish an emergency knowledge base.

[1]  Shahid Abbas Abbasi,et al.  Multivariate hazard identification and ranking system , 1998 .

[2]  Jiang Hui Expression of Scenarios and the Relationship among Scenarios in Emergency Real-Time Decision-Making , 2012 .

[3]  Berenice Gudiño-Mendoza,et al.  A linear characterization of the switching dynamic behavior of timed continuous Petri nets with structural conflicts , 2016 .

[4]  Bo Xu,et al.  Performance analysis for emergency response capability based on stochastic Petri net , 2010, 2010 IEEE International Conference on Emergency Management and Management Sciences.

[5]  Faisal Khan,et al.  Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network , 2013 .

[6]  Jianfeng Zhou Petri net modeling for the emergency response to chemical accidents , 2013 .

[7]  Congling Shi,et al.  Study in performance analysis of China Urban Emergency Response System based on Petri net , 2010, Safety Science.

[8]  He Xian Hybrid Petri Nets Based Modeling of Hybrid Dynamic Systems , 2000 .

[9]  Brian Veitch,et al.  Assessing offshore emergency evacuation behavior in a virtual environment using a Bayesian Network approach , 2016, Reliab. Eng. Syst. Saf..

[10]  Mohammad Abdollahi Azgomi,et al.  Modeling and verification of hybrid dynamic systems using multisingular hybrid Petri nets , 2012, Theor. Comput. Sci..

[11]  H. Kahn,et al.  The Year 2000: A Framework for Speculation on the Next Thirty-Three Years, , 1967 .

[12]  Javier Martínez,et al.  A Petri net based deadlock prevention policy for flexible manufacturing systems , 1995, IEEE Trans. Robotics Autom..

[13]  Stein Haugen,et al.  Complex accident scenarios modelled and analysed by Stochastic Petri Nets , 2015, Reliab. Eng. Syst. Saf..

[14]  Ali Doustmohammadi,et al.  Decomposition of first-order hybrid Petri nets for hierarchical control of manufacturing systems , 2015 .

[15]  Hans J. Pasman,et al.  Process hazard analysis, hazard identification and scenario definition: Are the conventional tools sufficient, or should and can we do much better? , 2017 .

[16]  Faisal Khan,et al.  Dynamic hazard identification and scenario mapping using Bayesian network , 2017 .

[17]  Wei Chen Hybrid System and Its Modeling , 2004 .

[18]  Faisal Khan,et al.  Use Maximum-Credible Accident Scenarios for Realistic and Reliable Risk Assessment , 2001 .

[19]  P. Schoemaker Disciplined Imagination: From Scenarios to Strategic Options , 1997 .

[20]  Genserik Reniers,et al.  Petri-net based simulation analysis for emergency response to multiple simultaneous large-scale fires , 2016 .

[21]  Manuel Silva Suárez,et al.  Petri nets and integrality relaxations: A view of continuous Petri net models , 2002, IEEE Trans. Syst. Man Cybern. Part C.

[22]  Liu Tie-min Studies on scenes' construction of emergency planning——part I of emergency planning technology based on “scene-task-ability” , 2012 .

[23]  Brian Veitch,et al.  Incorporating individual differences in human reliability analysis: An extension to the virtual experimental technique , 2017, Safety Science.

[24]  Cristian Mahulea,et al.  On fluidization of discrete event models: observation and control of continuous Petri nets , 2011, Discret. Event Dyn. Syst..

[25]  Dai Hua A novel hybrid Petri nets based modeling and analyzing method , 2000 .