Fog Computing for Leak Detection in On-shore Transmission Pipelines

Shuaib Mohammed, F. Aliyu
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引用次数: 2

Abstract

Transmission Pipelines (TP) are large pipelines covering long distances that carry refined petroleum products for production sites to different states, countries, and continents. TPs are high-pressure pipelines, as such, they are subject to failure. Therefore, it is necessary to develop cost-effective techniques to monitor them with near real-time performance. In this paper, a Fog computing based leakage detection system is proposed. The system uses WSN to sense the pipeline while it uses the fog nodes to process and forward sensed data to the cloud. The proposed system, within the limit, is of our experiment reduces the average energy consumption of the sensor nodes in the network by a factor of 100, while the latency ranges from 0.025 s-120s depending on the satellite system used.
基于雾计算的陆上输气管道泄漏检测
输送管道(TP)是指将生产地点的精炼石油产品输送到不同州、国家和大洲的长距离大型管道。TPs是高压管道,因此,它们容易发生故障。因此,有必要开发具有成本效益的技术,以接近实时的性能监测它们。本文提出了一种基于雾计算的泄漏检测系统。该系统使用WSN来感知管道,同时使用雾节点来处理和转发感知到的数据到云。在我们实验的限制范围内,所提出的系统将网络中传感器节点的平均能耗降低了100倍,而延迟范围从0.025 s-120秒不等,具体取决于所使用的卫星系统。
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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