Design of Oil Pipeline Monitoring System based on Wireless Sensor Network

Author:

Abstract

The oil export industry dominates the economy of the world and it depends heavily on oil pipelines. Exposed pipelines are prone to malfunctioning due to intentional or unintentional tampering and vandalism, which is usually caused by damaging form of either knocking or drilling. Continuous structure health monitoring (SHM) of pipelines using conventional methods is difficult and expensive due to the extensive length of the pipelines and the harsh environment. Recent development in printed electronic circuits and microcontrollers open new possibilities in the field of monitoring and have proven their practicality in vibration monitoring process. This paper presents a monitoring system for pipeline heal of the structure based on the wireless sensor network. The system senses the pipeline vibration and relays the data to a base station for the procession. A WSN consists of three nodes is designed and implemented. Each node is built around 32-bit ARM core microcontroller, and equipped with an accelerometer to measure the pipeline vibration. The measurements of each sensor are collected wirelessly through ZigBee protocol to a base station. Results on a 2 m pipeline sample show the ability of the system to precisely detect damaging events e.g. knocking and drilling to the pipeline.

Publisher

University of Technology, Baghdad

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Oil and gas pipeline monitoring based on IoT;AIP Conference Proceedings;2024

2. SHM-BASED PRACTICAL SAFETY EVALUATION AND VIBRATION CONTROL MODEL FOR STEEL PIPES;JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT;2023-11-14

3. Structural health monitoring of oil pipeline using wireless sensor networks;2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2022-06-09

4. Oil pipeline monitoring using Internet of Things technology;AIP Conference Proceedings;2022

5. Rolling bearing fault detection based on vibration signal analysis and cumulative sum control chart;FME Transactions;2021

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