IoT Natural Gas Pipeline Monitoring System

International Conference on Innovative Intelligent Industrial Production and Logistics Pub Date : 1900-01-01 DOI:10.5220/0010713600003062

W. Cook, Haley Felberg, Natalie Palos, J. Yeh

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Abstract

: In this paper, we discuss our construction of a natural gas monitoring system that utilizes a network of nodes that communicate with each other using LoRa modulation techniques. After the devastating gas leak in 2015 at the Aliso Canyon Natural Gas Storage Facility in Los Angeles county, in which a total of 104,400 tonnes of methane and ethane gas was released into the atmosphere, it became apparent that gas storage facilities and pipelines are in need of more efficient gas leak observation and monitoring methods. Our solution involves constructing nodes from a LoRa32 microcontroller, MQ-4 gas sensor, solar panel, and a 3.7V lithium battery. The nodes will be configured in a daisy-chain topology that can be positioned along any pipeline or gas storage facility. The daisy-chain topology will allow data to be sent along the chain to a data collection node and subsequently stored in the cloud hosted Firebase database. It is also anticipated that this monitoring system will be surveyed using an intuitive mobile application for iOS and Android devices.

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物联网天然气管道监控系统

在本文中，我们讨论了我们的天然气监测系统的构建，该系统利用LoRa调制技术相互通信的节点网络。2015年，洛杉矶县Aliso峡谷天然气储存设施发生了毁灭性的天然气泄漏，共有104,400吨甲烷和乙烷气体被释放到大气中。在此之后，天然气储存设施和管道显然需要更有效的气体泄漏观察和监测方法。我们的解决方案包括从LoRa32微控制器，MQ-4气体传感器，太阳能电池板和3.7V锂电池构建节点。节点将被配置成菊花链拓扑结构，可以沿着任何管道或天然气储存设施定位。菊花链拓扑将允许数据沿着链发送到数据收集节点，然后存储在云托管的Firebase数据库中。此外，预计该监测系统将使用iOS和Android设备的直观移动应用程序进行调查。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Conference on Innovative Intelligent Industrial Production and Logistics

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