DEVELOPMENT OF LEAK DETECTION SYSTEMS

UDC 620.165.29

Hryniuk Dzmitry Anatol’yevich – PhD (Engineering), Associate Professor, Assistant Professor, the Department of Automation of Production Processes and Electrical Engineering. Belarusian State Technological University (13a Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: hryniukda@gmail.com

Suhorukova Irina Gennad’yevna – Senior Lecturer, the Department of Software Engineering. Belarusian State Technological University (13a Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: irina_x@rambler.ru

Oliferovich Nadezhda Mikhaylovna – Senior Lecturer, the Department of Automation of Production Processes and Electrical Engineering. Belarusian State Technological University (13a Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: oliferovich@belstu.by

DOI: https://doi.org/ 10.52065/2520-6141-2025-290-7.

Key words: leak control, valves, classification of measurement methods.

For citation: Hryniuk D. A., Suhorukova I. G., Oliferovich N. M. Development of leak detection systems. Proceedings of BSTU, issue 3, Physics and Mathematic. Informatics, 2025, no. 1 (290), pp. 36–46 (In Russian). DOI: 10.52065/2520-6141-2025-290-7.

Abstract

The article analyzes the methods of leak control. Leak assessment is performed in different areas of human activity. In the last century, the analysis of this parameter, which relates to non-destructive testing systems, was performed mainly visually by the operator using additional devices and substances, but today a wide range of automatic and automated control systems and installations is produced. The analysis shows that previously existing classifications of leak control methods require other approaches. It is recommended to divide the leak assessment methods into several areas based on the area of application and direction of use. It is proposed to single out separately the methods that are used on a permanent basis in the production of products in industry. Here, ease of use with equipment, speed of testing, accuracy, the ability to perform tests in automatic mode, compliance with regulatory documents, etc. are important. Separately, we can highlight the leak control methods that are used in production conditions. This area is characterized by requirements for mobility, remoteness, ensuring regulatory and environmental standards of operation. A distinctive feature is the involvement of computational methods of analysis, from old to modern methods of machine learning. Pipelines and pipeline systems are one of the ecological and energy-efficient methods of transportation and distribution of liquids. The peculiarity of the methods that are used in this direction is the distribution of the object of observation over a large area, the complexity of access, when they are in the ground or water, etc. Preventing leaks and their early detection is very important for continuous operation, ecology and commercial benefits. This contributes to the development of a separate class of hardware and computational methods for assessing leak.

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15.01.2025