Intelligent Dam Breach Threat Monitoring System

Authors

DOI:

https://doi.org/10.37943/YQTE5603

Keywords:

flood, flood and breakthrough waves, water level, dam, computer simulation.

Abstract

The article is devoted to the development of a river flow modeling technique. The paper considers possible approaches to modeling the flow of fluids, as well as an analysis of existing solution methods and the formulation of research problems. The task is analyzed and the main problems that may arise in the course of its solution are identified. A general description of the problem and the formulation of research objectives are given. The advantages and disadvantages of the described methods are highlighted. A comparative analysis of known methods for complex analysis, forecasting the consequences of natural and man-made emergencies using modern technologies of mathematical modeling and a computational experiment with displaying the results in a geographic information system and a study of a mathematical model of a dam breakthrough was carried out. A description of the flood and flood monitoring technology developed in Kazakhstan is given, the results of its practical use in certain regions are discussed, and directions for further development are outlined. Thus, based on the analysis of various existing methods, the goal and main objectives of research aimed at developing a methodology for predicting a hydrodynamic accident as an emergency were formulated. The continuous wave method or ultrasonic pulse echo method is used. Based on microprocessor technology and sensors, an autonomous microcomputer system for transmitting climate data has been developed. A program for monitoring the factors of breakthrough waves in real time has been developed. An autonomous microcomputer system for transmitting climate data has been developed. The autonomous power supply subsystem for satellite data transmission systems includes a set of equipment, the functions of which are to generate and store energy for its subsequent use in order to provide power supply to the equipment. Water level measurement equipment can be different. To ensure the functioning of the system, the measuring equipment will be interfaced with the data transmission subsystem and the power supply subsystem. The pairing of these systems will make it possible to monitor the water level in moraine lakes, the location of which is extremely inaccessible. Technical means measuring the water level must be able to receive data from sensors with different periodicity. The accumulated data is used to predict possible floods and floods, calculate water consumption, and for other purposes. The characteristics of dams and the capabilities of modern control systems based on the use of microprocessor technology are analyzed.

Author Biographies

T. Mazakov, Al-Farabi Kazakh National University, Almaty, Kazakhstan

Professor, Doctor of the Physical and Mathematical Sciences,
CRS of the Institute of Information and Computational
Technologies CS MES RK

Sh. Jomartova, Al-Farabi Kazakh National University, Almaty, Kazakhstan

Doctor of Technical Sciences, Associate Professor

G. Ziyatbekova, Аl-Farabi Kazakh National University, Almaty, Kazakhstan

PhD, Senior Researcher
Institute of Information and Computational Technologies CS
MES RK

A. Sametova , Al-Farabi Kazakh National University, Almaty, Kazakhstan

PhD student

A. Mazakova, Al-Farabi Kazakh National University, Almaty, Kazakhstan

PhD student

References

Aliaskar M. S., Jomartova Sh. A., Ziyatbekova G. Z., & Mazakova A. T. (2019). Autonomous microprocessor system for transmission of climatic data. Bulletin of KazNITU im. K.I. Satpaev. Almaty, 1(131), 371-377.

Karvinen T., Karvinen K., & Valtokari V. (2017). Making sensors: projects of sensor devices based on Arduino and RaspberryPi. Moscow I. D. Williams.

Sharapov V. M., & Polishchuk E. S. (2012). Sensors. Moscow Technosfer.

Vavilov V. D., Timoshenkov S. P., & Timoshenkov A. S. (2018). Macrosystem sensors of physical quantities. Moscow Technosfera.

Petin V. A. (2017). Arduino and Raspberry Pi in the Internet of Thigs projects. St. Petersburg BHV-Petersburg.

Belov A. V. (2018). Arduino: From the basics of programming to the creation of practical devices. St. Petersburg Science and technology.

Simon Monk. (2017). Making. Arduino and Raspberry Pi. Motion, light and sound control. St. Petersburg BHV-Petersburg.

Yatsenkov V. S. (2018). From Arduino to Omega: step by step maker platforms. St. Petersburg BHV-Petersburg.

Sharapov V. M., Minaev I. G., Sotula Zh. V., & Kunitskaya L. G. (2013). Electroacoustic transducers. Moscow Technosfera.

Simon Monk. (2018). Electronics. Theory and practice. St. Petersburg BHV-Petersburg.

Simon Monk. (2017). Raspberry Pi. Collection of recipes. Solving software and hardware problems. St. Petersburg Alfa-kniga LLC.

Sultangazin U. & Spivak L. F. (2006). National system of space monitoring of the Republic of Kazakhstan: concepts, architecture, directions of development. Research of the Earth from space, 2, 38-50.

Spivak, L., Arkhipkin, O., Pankratov, V., Vitkovskaya, I., & Sagatdinova, G. (2004). Space monitoring of floods in Kazakhstan. Mathematics and Computers in Simulation, 67(4-5), 365-370.

Spivak L. F., Arkhipkin O. P., Pankratov V. S., Shagarova L. V., & Sagatdinova G. N. (2004). Technology for monitoring floods and inundations in Western Kazakhstan. Modern problems of remote sensing of the Earth from space: Physical bases, methods and technologies for monitoring the environment, potentially dangerous phenomena and objects. Moscow Poligrafservis, 279-286.

Spivak L. F., Arkhipkin O. P., & Sagatdinova G. N. (2005). Development of Flood Monitoring Information System in Kazakhstan. Proceedings of 31st International Symposium on Remote Sensing of Environment. St. Petersburg.

Bradshaw P. (1974). Introduction to turbulence and its measurement. Moscow Mir.

Mazakov T. Zh., Jomartova Sh. A. (2002). Application of interval analysis in practical calculation. Computational technologies, 7(3), 230-234.

Certificate of state registration of rights to the object of copyright (2020). No. 7576 dated January 17, "Library of interval functions" (computer program), authors: Ziyatbekova G. Z., Mazakova A.T., Mazakov T. Zh., Jomartova Sh. A., Karymsakova N. T., Amirkhanov B. S., Zholmagambetova B. R.

Kuchment L. S., Gelfan A. N., & Demidov V. N. (2004). Development of physical and mathematical models of river runoff formation and experience of their application in case of lack of hydrometric observations. Abstracts of reports of the VI All-Russian Hydrological Congress. St. Petersburg: Gidrometeoizdat, 121-123.

Khamutova, M. V. E., & Kushnikov, V. A. (2017). A model for forecasting characteristics of floods affecting the value of the caused damage. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 17(2), 231-238. doi: 10.18500/1816-9791-2017-17-2-231-238.

Mazakov T., Jomartova Sh., Ziyatbekova G., Aliaskar M. (2020). Automated system for monitoring the threat of waterworks breakout. Journal of Theoretical and Applied Information Technology, 98(15), 3176-3189.

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Published

2022-06-30

How to Cite

Mazakov, T., Jomartova, S., Ziyatbekova, G., Sametova , A., & Mazakova, A. (2022). Intelligent Dam Breach Threat Monitoring System. Scientific Journal of Astana IT University, 10(10). https://doi.org/10.37943/YQTE5603

Issue

Section

Information Technologies
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