Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings

Jerzy Mikulik ; Mirosław Zajdel

International Journal of Applied Mathematics and Computer Science, Tome 19 (2009), p. 317-326 / Harvested from The Polish Digital Mathematics Library

Résumé

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.

Détail

Publié le : 2009-01-01

Zbl 1167.93313

EUDML-ID : urn:eudml:doc:207938

Bibliographie

[000] Drągowski, A. (2004). Importance of enigineering geology studies in the environmental impact assessments, Przegląd Geologiczny 52(5): 138-140, (in Polish).

[001] Dwiliński, L. (2006). The Basics of Technical Structures Exploitation, Warsaw University of Technology Press, Warsaw, (in Polish).

[002] Hauryłkiewicz, J. (2005). Probabilistic evaluation of the environment conditions: Methodological issues, Przegląd Geologiczny 53(6): 516-521, (in Polish).

[003] 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.

[004] 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.

[005] 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.

[006] Mikulik, J. (2008). Selected Problems of Ensuring Security and Comfort in Buildings, AGH University of Science and Technology Press, Cracow, (in Polish).

[007] Mikulik, J. and Boryczko, T. (2002). Intelligent building as an object integrating electronic systems, Elektronika 43(7/8): 28-31, (in Polish).

[008] 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).

[009] 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).

[010] 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.

[011] Soares, C. G. and Teixeira, A. P. (2001). Risk assessment in maritime transportation, Reliability Engineering and System Safety 74(3): 299-309.

[012] Truemper, K. (2004). Design of Logic-based Intelligent Systems, John Wiley and Sons, New York, NY. | Zbl 1075.68087

[013] Wang, J. (2001). The current status and future aspects in formal ship safety assessment, Safety Science 38(3): 19-30.