502.31

meteorological factors, monitoring, two-level automated system, ecological safety.

The paper is devoted to the problem of monitoring meteorological precipitation. Since their excessive fallout, namely: 50–60 mm/h, results in flooding of residential areas or agricultural land. The scientific value of the work is in the fact that the architecture of the system for monitoring meteorological factors (its lower level) has been developed. In comparison with the known ones, it includes functions and comparisons of current values with specified values of precipitation, atmospheric pressure, air temperature and soil moisture (critical). The practical value of the work lies in the fact that, on the basis of theoretical studies generalization, two-level automated system for monitoring meteorological factors has been developed, In this system the lower level makes it possible to compare current values with set values, and the upper level of the system is SCADA WINCC project.

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1. Manual on flood forecasting and warning. World Meteorological Organization. Switzerland. 2011. No. 1072. 142 p. ISBN 978-92-63-11072-5. URL: https://library.wmo.int/doc_num.php?explnum_id= 4090.
2. Zamikhovska O. L., Klapoushchak O. I., Beley A. Y. (2014). Development of a monitoring system for flood waters. 2014. European Conference on Innovations in Technical and Natural Sciences. 1st International scientific conference. “East West” Association for Advanced Studies and Higher Education GmbH, 64–66. ISBN 13 978-3-902986-78-8. URL: http://www.lifesciencesite.com/lsj/life1108s/104_ 25000life1108s14_473_477.pdf.
3. Zamikhovsʹkyy L. M., Klapoushchak O. I. (2011). Analysis of flood water level control and forecasting methods and systems.. All-Ukrainian scientific and technical journal, 17, 99–105. ISBN 13 978-3-902986-78-8. URL: http://elar.nung.edu.ua/handle/123456789/2916.
4. Kravets A. S. Belei O. I.,. Shteyer L. O. (2022). Structural model of the influence of meteorological factors on hydraulic structures. 2022. Modern world trends in the development of science and information technologies: Conference materials, 175–177. URL: http://dspace.zsmu.edu.ua/bitstream/123456789/ 16944/1/ModTrSc-Odesa-May2022Rev_3-6.pdf.
5. Inyiama C. H., Obota M. E. (2013). Designing Flood Control Systems Using Wireless Sensor Networks International Journal of Engineering Research and Applications (IJERA) , 3, 1374-1382. doi:.ISSN:2248-9622. URL: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=1349b87be992f2fcd0cb f8d6c02aaf0da4b32f0f.
6. A comprehensive European-level flood forecasting system in Ukraine. URL: https://www. bkc.com.ua/news-type/kompleksna-sistema-prognozuvannja-pavodkiv-ievropejskogo-rivnja-v-ukraini/.
7. Zubkov O. (2011). Programming of Siemens industrial controllers in examples and problems: analytics. Kharkiv Study. manual, 122 p. URL: https://openarchive.nure.ua/server/api/core/bitstreams/04d63150-37b3-4771-a4fd-f0a3a86acd16/content.
8. Jones C. (2009). STEP 7 in 7 Steps: A Practical Guide to Implementing S7-300/S7-400 Programmable Logic Controllers Kindle Edition. En: Technology & Engineering СЕNTЕR. ISBN-10 1889101036, ISBN-13 9781889101033/ URL: https://www.etf.ues.rs.ba/~slubura/Procesni%20racunari/step7in7step/Step7in7 step.pdf.
9. System Software for S7-300/400 System and Standard Functions. URL: https://cache.industry. siemens.com/dl/files/604/44240604/att_67003/v1/s7sfc_en-EN.pdf.
10. Kushkov V. (2012). Human-machine interfaces: lecture notes, 99. URL: http://library.nuft.edu. ua/ebook/file/100.08.pdf