Technological Schemesandcontrol Methods Inthereconstruction of Parallelgaspipeline Systems Undernon- Stationary Conditions

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-27
DOI
https://doi.org/10.5281/zenodo.15754583
Primary Topic
Material Properties and Failure Mechanisms
Type
article
Field-Weighted Citation Impact
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article

Technological Schemesandcontrol Methods Inthereconstruction of Parallelgaspipeline Systems Undernon- Stationary Conditions

Zenodo (CERN European Organization for Nuclear Research)
Material Properties and Failure Mechanisms
article

Technological Schemesandcontrol Methods Inthereconstruction of Parallelgaspipeline Systems Undernon- Stationary Conditions

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 64%
Material Properties and Failure Mechanisms
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Technological Schemesandcontrol Methods Inthereconstruction of Parallelgaspipeline Systems Undernon- Stationary Conditions · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS