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Design of the Civil Protection Data Model for Smart Cities

Conference paper
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Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 574)

Abstract

This article describes the design of a data model for the purposes of civil protection. In order to design the data model, an E-R diagram is used and processed in the draw.io editor. The data model is designed using scientific methods of analysis, observation, abstraction, and especially modeling. Not only these methods serve to identify the key entities and their attributes, but they are also used to create the conceptual and logical data scheme. Individual entities and their attributes are subsequently entered into the E-R diagram and they form a conceptual data scheme of the civil protection data model. In addition, the article outlines a logical data scheme of the civil protection data model in which the formats of individual entities and attributes are indicated. Finally, the article evaluates the applicability of the designed data model and suggests other areas of research associated with its direct application to selected cities.

Keywords

Data model Databases Civil protection Smart cities 

Notes

Acknowledgments

This paper is supported by the Internal Grant Agency at Tomas Bata University in Zlín, projects No. IGA/FLKR/2017/003; and No. IGA/FLKŘ/2018/001.

References

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    Rak, J., Vicar, D., Losek, V., Balint, T., Strohmandl, J., Kozubikova, B.: Design of a spatial database of standardized blocks of flats for the purpose of population sheltering in the town of Uherské Hradiště. In: WSEAS Transactions on Environment and Development, vol. 14, pp. 16–23 (2018). ISSN 1790-5079Google Scholar
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    Balint, T.: Aplikace geografických informačních systémů v oblasti ukrytí obyvatelstva. J. Bachelor thesis, Tomas Bata University in Zlín, FLCM, Czech Republic (2018)Google Scholar
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    Micka, J.: Návrh klíčových entit pro standardizaci informační podpory ukrytí obyvatelstva. Bachelor thesis, Tomas Bata University in Zlín, FLCM, Czech Republic (2018)Google Scholar
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    Software Draw for diagrams construction: https://www.draw.io/

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Tomas Bata University in ZlínZlínCzech Republic

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