ORGANIZING JOINT PROCESSING OF SPATIAL INFORMATION WHEN RESPONDING TO SOME THREATS IN A TERRITORIAL DISTRIBUTED ORGANIZATION
Abstract and keywords
Abstract (English):
This article considers an approach to orga-nizing joint processing of spatial information when countering threats in a geographically distributed organization. A model is proposed for describing heterogeneous spatial data and their relationship, which are necessary for con-structing three-dimensional models of a territo-rially distributed organization, based on the set-theoretic approach. Subsequently, the model makes it possible to determine the methodology and algorithm for constructing three-dimensional models of such a geographically distributed organization as Ufa State Aviation Technical University. The paper shows that increasing the decision support efficiency when responding to some threats is achieved, among other things, by using three-dimensional visualization of technological information about the university facilities and operational information which incomes in case of emergency; the quality, content and optimization of a three-dimensional model directly affect the decisions made in fulfilling emergency response scenarios. The developed methods and algorithms are brought to practical implementation and applied to build a three-dimensional geoinformation model of Ufa State Aviation Technical University.

Keywords:
geoinformation technologies, model for describing heterogeneous spatial data, three-dimensional geoinformation modelling, three-dimensional university model
Text
Publication text (PDF): Read Download
References

1. Afanasiev A.P. Information Analytical System for Decision-Making Based on Spatially Distributed Network of Situational Centres. The Journal of Information Technologies and Computing Systems. 2010;2:3-14.

2. Lieberman A.N. Technogenic Safety: Human Factor. Saint Petersburg; 2006.

3. Sokolova AV, Christodoulo OI. Ap-plying Technologies of Three-Dimensional Geoinformation Modelling Taking into Ac-count the Detail Level for Solving Management Problems. In: Proceedings of the 3rd International Scientific and Practical Conference: Information Technologies for Intelligent Decision Support (ITIDS'2015); Ufa: 2015. (1). p. 123-126.

4. Sokolova A.V., Pavlov S.V., Christodulo O.I. Information Support for Decision-Making on the Prevention and Elimination of Emergency Situations at Industrial Facilities Based on Technologies of Three-Dimensional Geoinformation Modelling. Auditorium [Inter-net]. 2019 [cited 2019 May 22];1(21). Available from: http://auditorium.kursksu.ru/pdf/021-004.pdf.

5. Sokolova A.V., Christodulo O.I. Processing of Two-Dimensional Spatial Information as Part of a Three-Dimensional Model of an Industrial Object. Oil and Gas Business. 2015;1:152-162.

6. Biljecki F. Formalisation of the Level of Detail in 3D City Modelling. Journal Computers, Environment and Urban Systems. 2014;1-15.

7. Recommendations for the Creation of Three-Dimensional Geo-Images (Models) of Territories and Life Support Facilities, Potentially Dangerous, Critical for National Security: Regulatory and Methodological Documents on the Organization of Research and Development Work. Moscow: Publishing house of VNII GOChS; 2009.

8. Pavlov S.V., Efremova O.A., Sokolova A.V. Formalized Description of the Spa-tial Information within Three-Dimensional Models of Potentially Dangerous Objects based on Set-Theoretic Approach. Electrical and Information Complexes and Systems. 2014;10(1):66-72.

9. Lee J., Zlatanova S. A 3D Data Model and Topological Analyses for Emergency Response in Urban Areas. Geospatial Information Technology for Emergency Re-sponse (ISPRS book series). London(UK): Taylor & Francis Group; 2008.

10. Recommendations for the Cartographic Support of the Ministry of Emergency Situations of Russia. Civil Security Technologies. Moscow: Publishing house of VNII GOChS; 2013. p. 44-48.

11. Pavlov S.V., Sokolova A.V., Christodoulo O.I. Integration of Geographic Information Technologies and Digital Image Processing for Responding to Emergency Situations at Oil Pipeline Transport Facilities. Computer Optics. 2022;46(3): 483-491. doi:https://doi.org/10.18287/2412-6179-CO-925.

12. On the Federal Target Programme “Reducing the Risks and Mitigating the Consequences of Natural and Man-Made Emergencies in the Russian Federation until 2015: Decree of the Government of the Russian Federation from 2011 Jul 07, No. 555 [Internet]. 2015. Available from: the Reference-Legal System “ConsultantPlus”.

13. Bugakov P.Yu. Foreign Experience in the Field of Cartographic Generalization of Three-Dimensional Models of Urban Areas. Geodesy and Cartography. 2017;22(1):151-159.

Login or Create
* Forgot password?