COMPUTING SYSTEMS AND NETWORKS
DATA PROCESSING AND ANALYSIS
A. M. Skorobogatov, S. V. Panchenko, O. N. Apanasyuk, T. A. Bulantseva Structure of the Database for Assessing the Long-Term Safety of Radioactive Waste Storage Sites
INTELLIGENCE SYSTEMS AND TECHNOLOGIES
MATHEMATICAL MODELING
A. M. Skorobogatov, S. V. Panchenko, O. N. Apanasyuk, T. A. Bulantseva Structure of the Database for Assessing the Long-Term Safety of Radioactive Waste Storage Sites
Abstract. 

The paper considers the structure of the database, independent of the subject-oriented field of knowledge. When developing the architecture of the database, the experience of operating a regional database of radioecological data was taken into  account. The structure of the database, optimized for the specifics of long-term data storage, which is based on a series of national standards in the field of information technology (Metadata) and the state-impact system for ensuring the unity of measurements, is described. A database with a given structure can store a wide class of data and, if necessary, is infinitely expanded both substantively and physically to the capabilities of Big Data without changing the structure in the long term. The limit is the memory size of the physical media. Standardizing the formats of data tables and connecting tables of interaction with metadata allows you to simplify and increase the reliability of information conversion and migration procedures.

Keywords: 

database structure, long-term data storage, metadata.

PP. 46-58.

DOI 10.14357/20718632220206
 
References

1. RB-003-21. 2021. Rukovodstvo po bezopasnosti pri ispol'zovanii atomnoy energii. Otsenka dol - govremennoy bezopasnosti punktov glubinnogo zakhoroneniya radioaktivnykh otkhodov [Safety Guidelines for Atomic Energy Use Long-term safety assessment of deep disposal facilities for radioactive waste]. Utv. post. Rostekhnadzor from 19.03.2021 No. 101, put into effect. 19.03.2021. Moscow: FSI “NTC YARB” (in Russian).
2. Korabelnikov, N. A., Yu. M. Zinyukov. 2019. Struktura bazy dannykh dlya ob"ektov ekologicheskogo monitoringa – poligonov tverdykh bytovykh otkhodov [Database structure for environmental monitoring facilities – solid waste landfills]. Vestnik Voronezhskogo gosudarstvennogo universiteta. Serija: geologija [Vestnik Voronezhskogo gosudarstvennogo universiteta. Series: Geology]. 118–124 (in Russian).
3. Edinyi Gosudarstvennyi Fond Dannykh [Unified State Data Fund]. Available
at: http://meteo.ru/egfd?ysclid=l1ufpb8ut1 (accessed April 11, 2022) (in Russian).
4. Shaimardanov, V. M. 2011. Sozdanie programmnoapparatnogo kompleksa dolgovremennogo khraneniya i ispol'zovaniya gidrometeorologicheskoi informatsii [Creation of a software and hardware complex for long-term storage and use of hydrometeorological information]. Uchenye zapiski Rossiiskogo gosudarstvennogo gidrometeorologicheskogo universiteta [Scientific notes of the Russian State Hydrometeorological University]. 21:118–125 (in Russian).
5. Rasporyazhenie Pravitel'stva RF ot 3 sentyabrya 2010 g. N 1458-r Strategii deyatel'nosti v oblasti gidrometeorologii i smezhnykh s nei oblastyakh na period do 2030 goda (s uchetom aspektov izmeneniya klimata). [Order of the Government of the Russian Federation dated September 3, 2010, no. 1458-r On the strategy of activities in the field of hydrometeorology and related areas for the period up to 2030 year (taking into account aspects of climate change)]. Available at: http://static.government.ru/media/fi
les/AAOMfY6lO8AaNaZQVTTLUrYCTRtrhNva.pdf  (accessed April 11, 2022) (in Russian).
6. Solovyev, A. V., N. B. Bakanova. 2019. Problems of longterm preservation of big data. Informatsionnye tekhnologii i vychislitel'nye sistemy [Journal of Information Technologies and Computing Systems]. 2:44–53. doi: 10.14357/20718632190205 (in Russian).
7. Solovyev, A. V. 2021. Algorithmic Solution to the Problem of Authenticity of Digital Data. Informatsionnye tekhnologii i vychislitel'nye sistemy [Journal of Information Technologies and Computing Systems]. 1:12–19. doi: 10.14357/20718632210102 (in Russian).
8. Solovyev, A. V. 2021. Solving the problem of interpreting digital data for long-term keeping. Trudy ISA RAN [Proceedings of Institute for Systems Analysis]. 71(2):43–49. doi: 10.14357/20790279210206 (in Russian).
9. Skorobogatov, A. M., M. N. Korsak, M. I. Krolenko. 2020. About the organization of an invariant database in the field of ecology and environmental protection. V sbornike: Nauka, obrazovanie, proizvodstvo v reshenii ekologicheskikh problem (Ekologiya-2020). Materialy XVI Mezhdunarodnoi nauchno-tekhnicheskoi konferentsii, v 2-kh tomakh, posvyashchaetsya 75-letiyu Pobedy v Velikoi Otechestvennoi voine [In the collection: Science, education, production in solving environmental problems (Ecology-2020). Materials of the XVI International Scientific and Technical Conference, in 2 volumes, dedicated to the 75th anniversary of the Victory in the Great Patriotic War]. Ufa: UGATU. 1:155–159 (in Russian).
10. Svidetel'stvo o gosudarstvennoi registratsii bazy dannykh [Certificate of state registration of the database] No. 2018621930. 2018. Regional'naya baza radioekologicheskikh dannykh dlya kolichestvennoi otsenki negativnykh effektov i riskov ot radiatsionnogo i khimicheskikh faktorov tekhnogennogo vozdeistviya na naselenie i okruzhayushchuyu sredu Sverdlovskoi oblasti. Versiya 2018.01. IBRAE RAN (RU). Data registratsii v Reestre baz dannykh 03 dekabrya 2018 g. [Regional database of radioecological data for the quantitative assessment of negative effects and risks from radiation and chemical factors of technogenic impact on the population and the environment of the Sverdlovsk region. Version 2018.01. IBRAE RAS (RU). Date of registration in the Database Register 03 December 2018] (in Russian).
11. Sambros, V. V., O. V. Lovtskaya, M. V. Petrova, A. N. 2013. Savelenok. Struktura bazy dannyh sistemy jekologicheskogo obespechenija jekspluatacii kosmodroma “Vostochnyj” [Structure of the database of the environmental support system for the operation of the Vostochny cosmodrome]. Materialy II Vserossijskoj nauchnoprakticheskoj konferencii «Kosmodrom «Vostochnyj» – budushhee kosmicheskoj otrasli Rossii», Blagoveshhenskij gosudarstvennyj pedagogicheskij universitet [Materials of the II All-Russian Scientific and Practical Conference "Vostochny Cosmodrome – the Future of the Space Industry of Russia", Blagoveshchensk State Pedagogical University]. 102–108 (in Russian).
12. Korenkov, V. V, A. V. Nechaevskii, V. V. Trofimov. 2013. Data acquisition simulation for NICA experiment. Informatsionnye tekhnologii i vychislitel'nye sistemy [Journal of Information Technologies and Computing Systems]. (4):37–44 (in Russian).
13. Cielen D., Arno D. B. Meysman, and Mohamed Ali. Introducing Data Science: Big Data, Machine Learning, andmore, using Python tools. Manning Publications Co, 2016, 320 p. ISBN: 9781633430037.
14. RMG 29-2013. 2014. Rekomendatsii po mezhgosudarstvennoi standartizatsii. Gosudarstvennaya sistema obespecheniya edinstva izmerenii. Metrologiya. Osnovnye terminy i opredeleniya [Recommendations on interstate standardization. State system for ensuring the uniformity of measurements. Metrology. Basic terms and definitions]. Moscow: Standartinform Publs. 60 p. (in Russian).
 

2024 / 02
2024 / 01
2023 / 04
2023 / 03

© ФИЦ ИУ РАН 2008-2018. Создание сайта "РосИнтернет технологии".