Automatic Risk Control Based on FSA Methodology Adaptation for Safety Assessment in Intelligent Buildings

Mikulik, Jerzy; Zajdel, Mirosław

doi:10.2478/v10006-009-0027-1

Abstract

The main area which Formal Safety Assessment (FSA) methodology was created for is maritime safety. Its model presents quantitative risk estimation and takes detailed information about accident characteristics into account. Nowadays, it is broadly used in shipping navigation around the world. It has already been shown that FSA can be widely used for the assessment of pilotage safety. On the basis of analysis and conclusion on the FSA approach, this paper attempts to show that the adaptation of this method to another area—risk evaluating in operating conditions of buildings—is possible and effective. It aims at building a mathematical model based on fuzzy logic risk assessment with different habitat factors included. The adopted approach lets us describe various situations and conditions that occur in creating and exploiting of buildings, allowing for automatic control of the risk connected to them.

References

Drągowski, A. (2004). Importance of enigineering geology studies in the environmental impact assessments, Przegląd Geologiczny 52(5): 138-140, (in Polish).
Search in Google Scholar
Dwiliński, L. (2006). The Basics of Technical Structures Exploitation, Warsaw University of Technology Press, Warsaw, (in Polish)
Search in Google Scholar
Hauryłkiewicz, J. (2005). Probabilistic evaluation of the environment conditions: Methodological issues, Przegląd Geologiczny 53(6): 516-521, (in Polish).
Search in Google Scholar
Hu, S., Fang, Q., Xia, H. and Xi, Y. (2007). Formal safety assessment based on relative risks model in ship navigation, Reliability Engineering and System Safety 92(3): 369-377.10.1016/j.ress.2006.04.011
Search in Google Scholar
MEPC, M. E. P. C. (1997). Interim guidelines for the application of formal safety assessment (FSA) to the IMO rulemaking processes, Technical Report MEPC/Circ. 335, International Maritime Organization, London.
Search in Google Scholar
MEPC, M. E. P. C. (2000). Report of the marine environment protection committee on its forty-fifth session, Technical Report MEPC 45/20, International Maritime Organization, London.
Search in Google Scholar
Mikulik, J. (2008). Selected Problems of Ensuring Security and Comfort in Buildings, AGH University of Science and Technology Press, Cracow, (in Polish).
Search in Google Scholar
Mikulik, J. and Boryczko, T. (2002). Intelligent building as an object integrating electronic systems, Elektronika 43(7/8): 28-31, (in Polish).
Search in Google Scholar
Mikulik, J., Pawlik, M. and Blim, M. (2005). Intelligent Building. Part II: Basic Security and Safety Systems in Intelligent Buildings, Silesian University of Technology Press, Gliwice, (in Polish).
Search in Google Scholar
Mikulik, J., Pawlik, M. and Blim, M. (2007). The Role and the Meaning of Technical Security Systems in Crisis States. Crisis, Accidents, Disasters in the Context of Threats' Growth, University of Silesia Press, Katowice, (in Polish).
Search in Google Scholar
Mikulik, J. and Zajdel, M. (2008). Quantitative and qualitative models for risk assessment in exploitation of ecologically dangerous structures, VISNIK of the East Ukrainian National University Named in Memory of Vladimir Dal Scientific Journal 126(8): 298-303.
Search in Google Scholar
Soares, C. G. and Teixeira, A. P. (2001). Risk assessment in maritime transportation, Reliability Engineering and System Safety 74(3): 299-309.10.1016/S0951-8320(01)00104-1
Search in Google Scholar
Truemper, K. (2004). Design of Logic-based Intelligent Systems, John Wiley and Sons, New York, NY.10.1002/0471723940
Search in Google Scholar
Wang, J. (2001). The current status and future aspects in formal ship safety assessment, Safety Science 38(3): 19-30.10.1016/S0925-7535(00)00052-7
Search in Google Scholar

Automatic Risk Control Based on FSA Methodology Adaptation for Safety Assessment in Intelligent Buildings

Abstract

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