Document Type : Research Paper
Authors
1
Department of Electrical Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
2
Mechateronic & Artificial Intelligence Research Center, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
3
RIPI
10.22078/jpst.2024.5526.1950
Abstract
This paper delves into the transformative implications of Digital Twin (DT) technology on pipeline management within the context of Industry 4.0, emphasizing its pivotal role in ensuring integrity, efficiency, and leak detection for oil, gas, and water transportation. The proposed pipeline management platform adopts a conceptual DT architecture, integrating key components such as the Asset Administration Shell, Admin-Shell-IO, Node-RED, Apache StreamPipes, SimCenter, MATLAB, and Ignition software.Through this integration, the platform focuses on automation, operational optimization, safety, and regulatory compliance. To achieve these goals, the paper introduces the Modified Real-Time Transient Modeling (MRTTM) framework, which aims to swiftly and accurately detect and locate leaks. The operational procedure of this framework involves three key stages. Initially, in the "Data Collection" phase, data from sensors are monitored by observing nodes. In the subsequent "Detection" stage, leaks are identified, and in the concluding "Decision-making" module, the exact magnitude and location of the leakage are determined using MRTTM. Leveraging a hybrid approach that combines the Extended Kalman Filter, Real-Time Transient Modeling, and machine learning algorithms, the framework offers accurate insights into the pipeline's operational status. Machine learning models, including K-nearest neighbors and support vector machines, enhance anomaly detection precision, allowing for early identification and localization of potential leaks.The proposed framework brings several key benefits to pipeline management, including early anomaly detection, real-time data integration, predictive maintenance, and regulatory compliance. By identifying potential leaks and anomalies early on, operators can take measures to prevent failures, respond quickly to disruptions, and comply with environmental and safety regulations.
Keywords
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