On-line Control of the Natural and Anthropogenic Safety in Krasnoyarsk Region
This paper presents an approach of on-line control of
the state of technosphere and environment objects based on the
integration of Data Warehouse, OLAP and Expert systems
technologies. It looks at the structure and content of data warehouse
that provides consolidation and storage of monitoring data. There is a
description of OLAP-models that provide a multidimensional
analysis of monitoring data and dynamic analysis of principal
parameters of controlled objects. The authors suggest some criteria of
emergency risk assessment using expert knowledge about danger
levels. It is demonstrated now some of the proposed solutions could
be adopted in territorial decision making support systems.
Operational control allows authorities to detect threat, prevent natural
and anthropogenic emergencies and ensure a comprehensive safety of
territory.
[1] G. Beroggi W.A. Wallace “Operational risk management: a new
paradigm for decision making”. Systems, Man and Cybernetics, vol. 24,
no. 10, pp. 1450-1457, 1994.
[2] G. Beroggi, W.A. Wallace Operational risk management: the
integration of decision, communications, and multimedia technologies.
New York: Springer-Verlag, 2012.
[3] V.R. Bolov “Emergency Prediction and Strategic Planning of the
Future”. Natural and technogenic risks, no 3, pp. 18-24, 2011.
[4] G. Haddow, J. Bullock, D.P. Coppola Introduction to emergency
management. Elsevire, 2011.
[5] W. Du “Systems and methods for flood risk assessment”. Patent No
US20120259550 A1, 2012.
[6] D. Friedberg, W. Inc “Systems and methods for automated weather risk
assessment”. Patent No WO2009082370A1, 2009.
[7] J.Z. Hernández, J.M. Serrano “Knowledge-based models for emergency
management systems”. Expert Systems with Applications, vol. 20, no.2,
pp. 173-186, .2001.
[8] D. Mendonça, G. Beroggi, W.A. Wallace “Decision support for
improvisation during emergency response operations”. Int. J. Emergency
Management., vol. 1, no. 1, pp. 30-39, 2001.
[9] T. Penkova, V. Nicheporchuk, A. Korobko “Emergency situations
monitoring using OLAP technology”. In Proc. 35th International
Convention., the conference “Business Intelligence Systems
(miproBIS)”, Croatia, 2012, pp. 1941-1946.
[10] Ministry of emergency “Report of the state of natural and anthropogenic
emergencies protection of territory and population in Krasnoyarsk
region”, Annual report, 2013, 175 p.
[11] “Regional organizational system of emergency monitoring and
prediction” The Regulation of Krasnoyarsk region government, no 80-p,
09.02.2011.
[12] W.H. Inmon Building the Data Warehouse. New York: John Willey,
1992.
[13] K.V. Badmaeva, T.G. Penkova, V.V. Nicheporchuk “Designing a
specialized data warehouse for emergency monitoring” (in Russian).
Vestnik of Siberian state aerospase university, vol. 5(38), pp.14-18,
2011.
[14] E.F. Codd, S.B. Codd, C.T. Salley Providing OLAP (On-Line Analytical
Processing) to user-analysts: An IT mandate. New York: Codd and
Associates. 1993.
[15] A.V. Korobko, T.G. Penkova, V.V. Nicheporchuk, A.S. Mihalev “The
integral OLAP-model of the emergency risk estimation in the case of
Krasnoyarsk region” In Proc. 36th International Convention, the
conference “Business Intelligence Systems (miproBIS)”, Croatia, 2013,
pp.1456-1461.
[16] L.F. Nozhenkova, A.A. Evsukov, A.I. Nozhenkov “Governing and geoinformatic
modelling methods in OLAP”. Journal of the Siberian
Federal University, series Engineering & Technologies, vol.1, pp.49-58,
2009.
[17] L.F. Nozhenkova, V.V. Nicheporchuk, K.V. Badmaeva, T.G. Penkova,
A.V. Korobko, A.A. Evsukov and etc. “System of data consolidation
and analysis for emergensies monitoring in Krasnoyarsk region” (in
Russian). J. Safety and emergensy problems, vol.4, pp. 63-73, 2012.
[1] G. Beroggi W.A. Wallace “Operational risk management: a new
paradigm for decision making”. Systems, Man and Cybernetics, vol. 24,
no. 10, pp. 1450-1457, 1994.
[2] G. Beroggi, W.A. Wallace Operational risk management: the
integration of decision, communications, and multimedia technologies.
New York: Springer-Verlag, 2012.
[3] V.R. Bolov “Emergency Prediction and Strategic Planning of the
Future”. Natural and technogenic risks, no 3, pp. 18-24, 2011.
[4] G. Haddow, J. Bullock, D.P. Coppola Introduction to emergency
management. Elsevire, 2011.
[5] W. Du “Systems and methods for flood risk assessment”. Patent No
US20120259550 A1, 2012.
[6] D. Friedberg, W. Inc “Systems and methods for automated weather risk
assessment”. Patent No WO2009082370A1, 2009.
[7] J.Z. Hernández, J.M. Serrano “Knowledge-based models for emergency
management systems”. Expert Systems with Applications, vol. 20, no.2,
pp. 173-186, .2001.
[8] D. Mendonça, G. Beroggi, W.A. Wallace “Decision support for
improvisation during emergency response operations”. Int. J. Emergency
Management., vol. 1, no. 1, pp. 30-39, 2001.
[9] T. Penkova, V. Nicheporchuk, A. Korobko “Emergency situations
monitoring using OLAP technology”. In Proc. 35th International
Convention., the conference “Business Intelligence Systems
(miproBIS)”, Croatia, 2012, pp. 1941-1946.
[10] Ministry of emergency “Report of the state of natural and anthropogenic
emergencies protection of territory and population in Krasnoyarsk
region”, Annual report, 2013, 175 p.
[11] “Regional organizational system of emergency monitoring and
prediction” The Regulation of Krasnoyarsk region government, no 80-p,
09.02.2011.
[12] W.H. Inmon Building the Data Warehouse. New York: John Willey,
1992.
[13] K.V. Badmaeva, T.G. Penkova, V.V. Nicheporchuk “Designing a
specialized data warehouse for emergency monitoring” (in Russian).
Vestnik of Siberian state aerospase university, vol. 5(38), pp.14-18,
2011.
[14] E.F. Codd, S.B. Codd, C.T. Salley Providing OLAP (On-Line Analytical
Processing) to user-analysts: An IT mandate. New York: Codd and
Associates. 1993.
[15] A.V. Korobko, T.G. Penkova, V.V. Nicheporchuk, A.S. Mihalev “The
integral OLAP-model of the emergency risk estimation in the case of
Krasnoyarsk region” In Proc. 36th International Convention, the
conference “Business Intelligence Systems (miproBIS)”, Croatia, 2013,
pp.1456-1461.
[16] L.F. Nozhenkova, A.A. Evsukov, A.I. Nozhenkov “Governing and geoinformatic
modelling methods in OLAP”. Journal of the Siberian
Federal University, series Engineering & Technologies, vol.1, pp.49-58,
2009.
[17] L.F. Nozhenkova, V.V. Nicheporchuk, K.V. Badmaeva, T.G. Penkova,
A.V. Korobko, A.A. Evsukov and etc. “System of data consolidation
and analysis for emergensies monitoring in Krasnoyarsk region” (in
Russian). J. Safety and emergensy problems, vol.4, pp. 63-73, 2012.
@article{"International Journal of Information, Control and Computer Sciences:70583", author = "T. Penkova and A. Korobko and V. Nicheporchuk. and L. Nozhenkova and A. Metus", title = "On-line Control of the Natural and Anthropogenic Safety in Krasnoyarsk Region", abstract = "This paper presents an approach of on-line control of
the state of technosphere and environment objects based on the
integration of Data Warehouse, OLAP and Expert systems
technologies. It looks at the structure and content of data warehouse
that provides consolidation and storage of monitoring data. There is a
description of OLAP-models that provide a multidimensional
analysis of monitoring data and dynamic analysis of principal
parameters of controlled objects. The authors suggest some criteria of
emergency risk assessment using expert knowledge about danger
levels. It is demonstrated now some of the proposed solutions could
be adopted in territorial decision making support systems.
Operational control allows authorities to detect threat, prevent natural
and anthropogenic emergencies and ensure a comprehensive safety of
territory.", keywords = "Decision making support systems, Emergency risk
assessment, Natural and anthropogenic safety, On-line control,
Territory.", volume = "9", number = "8", pages = "1900-6", }
