Leveraging on low-cost devices for wireless data acquisition in remote pipeline networks

Q4 Engineering
I. C. Febaide, G. O. Uzedhe
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引用次数: 0

Abstract

Pipeline infrastructures are the most used means of transporting oil and gas from extraction point to production and sales point. These pipelines are exposed to various attacks either by natural occurrences, indiscriminate human activities around pipelines or direct criminal sabotage, and therefore require constant monitoring. The use of low-cost wireless devices for pipeline data acquisition as it applies to remote and difficult terrain is presented. Different methods and models have been suggested in literature with several existing systems such as SCADA, DCS, and satellite spectral imaging currently in use for pipeline operations. Among the challenges here is the need for lower operational costs, even at reduced response time demand. The Wireless Data Acquisition System (WDAS) presented simulates a pipeline system in a testbed in which a petroleum product is caused to flow and its parameters read, processed as data and wirelessly transmitted, through a wireless sensor network, to a remote device for monitoring. Results indicate a very short response time of about 3.0sec in the simulation at a percentage accuracy of 0.07% over 1km. It also shows that low-cost wireless sensor networking can provide a cost-effective means for pipeline infrastructure management and should be explored.
利用低成本设备在远程管道网络中进行无线数据采集
管道基础设施是将油气从采掘点输送到生产销售点的最常用手段。这些管道受到自然事件、管道周围不分青红皂白的人类活动或直接犯罪破坏的各种攻击,因此需要不断监测。提出了一种低成本的无线设备用于管道数据采集,适用于偏远和困难的地形。文献中提出了不同的方法和模型,包括目前用于管道操作的SCADA、DCS和卫星光谱成像等几种现有系统。这里的挑战之一是需要降低运营成本,即使在减少响应时间需求的情况下也是如此。提出的无线数据采集系统(WDAS)模拟了一个试验台中的管道系统,在该系统中,石油产品流动,其参数被读取、处理为数据,并通过无线传感器网络无线传输到远程设备进行监测。结果表明,模拟的响应时间非常短,约为3.0秒,每1公里的百分比精度为0.07%。这也表明,低成本的无线传感器网络可以为管道基础设施管理提供一种经济有效的手段,值得探索。
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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来源期刊
Nigerian Journal of Technological Development
Nigerian Journal of Technological Development Engineering-Engineering (miscellaneous)
CiteScore
1.00
自引率
0.00%
发文量
40
审稿时长
24 weeks
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