Abstract

The study explores technological schemes and control methods for reconstructing parallel gas pipeline systems under non-stationary conditions. It focuses on improving safety, reliability, and efficiency by automating valve control and integrating IoT-based monitoring. Automated Shut-Off Valves—Detect sudden pressure drops and block leaks instantly. Uses pressure drop rates and valve position sensors to detect and isolate leaks. Wireless pressure sensors and real-time monitoring allow remote control of gas flow. Mathematical modeling analyzes pressure variations along damaged sections to determine valve placement and activation timing. Machine learning algorithms are used in the control center to predict and verify leak locations based on sensor data. For ensuring uninterrupted gas supply in the event of an accident, this study has developed an empirical formula that determines the location of connecting pipes—activated between parallel pipelines—based on real-time pressure sensor data. The purpose of the study is to reduce gas leaks and environmental hazards, ensure an uninterrupted gas supply during emergencies, enhance decision-making through automated systems, minimize gas losses, and reduce maintenance costs.

Keywords

Pressure sensor, separating devices, valve, connecting pipe, technological scheme, algorithm.