LinkStream: A Liquidity Modeling System on Large-Scale Video Stream in Oilfield

Hao Yuan, Q. Ma, Zhe Hu, Xiaoxiang Li, Xu Wang, Zheng Yang
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Abstract

This article introduces LinkStream, a liquidity modeling system based on multiple video streams designed and implemented for oilfield. LinkStream combines a variety of technologies to solve several problems in computing power and network latency. First, the system adopts an edge-central architecture and tailoring based on spatio-temporal correlation, which greatly reduces computing power requirements and network costs, and enables real-time analysis of large-scale video stream on limited edge devices. Second, it designed a set of liquidity models to describe the liquidity status in the oilfield. Finally, it uses object tracking technology to design a counting algorithm for the unique tubing object in the oilfield. We have deployed LinkStream in an oilfield in Iraq. LinkStream can perform real-time inference on over 200 video streams with acceptable resource overhead.
LinkStream:油田大规模视频流的流动性建模系统
本文介绍了面向油田开发的基于多视频流的流动性建模系统LinkStream。LinkStream结合了多种技术来解决计算能力和网络延迟方面的几个问题。首先,该系统采用边缘中心架构和基于时空相关的裁剪,大大降低了计算能力要求和网络成本,能够在有限的边缘设备上实时分析大规模视频流。其次,设计了一套流动性模型来描述油田的流动性状况。最后,利用目标跟踪技术设计了针对油田中唯一油管目标的计数算法。我们已经在伊拉克的一个油田部署了LinkStream。LinkStream可以在200多个视频流上执行实时推理,资源开销可接受。
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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