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Mr. João Vitor Silva Mendes
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Journal Article
DMDanielle Mascarenhas Maia
Danielle Mascarenhas MaiaJMJoão Vitor Silva Mendes
João Vitor Silva MendesJSJoão Pedro Almeida Miranda Silva
João Pedro Almeida Miranda SilvaRBRodrigo Freire Bastos
Rodrigo Freire BastosMSMatheus Dos Santos Silva
Matheus Dos Santos SilvaHLHerman Augusto Lepikson
Herman Augusto Lepikson +2
The vast expanses of remote onshore areas in oil-producing countries are home to a network of flow and collection pipelines that are susceptible to leaks. Most of these areas lack the infrastructure to enable the use of remote monitoring systems equipped with sensors and real-time data analysis to provide early detection of anomalies. This paper proposes a proof of concept for a monitoring system based on the Internet of Things (IoT) for real-time detection of pipeline leaks in onshore oil production fields. The proposed system, based on a thermal imaging leak detection method, informs the operator of the system’s operating status via a web page. The leak detection system communicates via a Zigbee network between the IoT devices and a 4G mobile network. The results of the tests carried out show that a visual and automatic IoT-based leak detection system is possible and plausible. The proposed leak detection system enables supervisors at remote stations and field workers to monitor the operating status of pipelines via computers, tablets, or smartphones, regardless of where they are.
About Me
Electrical Engineering student at CIMATEC University Center (expected graduation by the end of 2024), where I am part of the Robotics Department as a Robotics Engineer Intern, working on the development of robotic solutions for industrial operational environments in the oil and gas industries since 2022. My responsibilities include developing control systems using machine learning, software engineering with ROS 2 and C++. I have been a member of IEEE for 4 years, during which I was part of the RAS (Robotics and Automation Society) CIMATEC student chapter, serving as president in 2022. In this role, I led the chapter in the development of technical projects for educational purposes, aimed at promoting robotics learning in the Salvador, Brazil community. In the Robotics and Automation Society (RAS), I received an honorable mention for my dedicated volunteer work and contributed to the chapter's achievement of 2nd place in the technical chapter category at the 2021 Regional Success Awards R9. I am also developing an open-source package for ROS 2 for motion capture using point clouds (Point Cloud Motion Capture).