Authors - Ilgar G. Aliyev, Konul Gafarbayli, Firangiz Mammadrzayeva Abstract - Modern parallel gas pipeline systems require intelligent and operationally reliable emergency-management mechanisms capable of distinguishing real leakage events from normal technological transients under real-time operating conditions. Although IoT- and SCADA-based monitoring technologies are widely used in modern gas transmission infrastructures, most existing systems primarily rely on threshold-based supervision or empirical data-driven methods, which often lack physical interpretability and analytical decision-making capability. This paper proposes an intelligent IoT-driven emergency-management and analytical decision-making framework for parallel gas pipelines based on the integration of digital monitoring technologies with analytical gas-dynamic modeling. The proposed cyber-physical architecture combines wireless pressure sensors, SCADA-assisted supervisory control, synchronized shut-off valves, and analytical decision algorithms to ensure real-time identification, localization, and mitigation of emergency operating modes. Analytical criteria are developed for distinguishing emergency and technological pressure variations, estimating emergency detection time, localizing the leakage coordinate, and determining the optimal activation time of interconnecting pipeline valves. The proposed framework enables rapid isolation of damaged pipeline sections while ensuring adaptive gas redistribution through intact parallel lines. Unlike conventional monitoring-based approaches, the developed methodology transforms emergency control into an analytically justified intelligent supervision mechanism capable of minimizing gas losses, preventing cascade disturbances, and improving operational sustainability. The integration of IoT-based sensing with analytical decision-making additionally improves compatibility with Industry 4.0 and digital twin concepts for future smart gas transmission infrastructures.
Open Zoom