Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (16): 273-278.DOI: 10.3778/j.issn.1002-8331.1905-0124

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Research and Practice on Edge Computing of Oilfield Internet of Things System

SHI Feng, LIANG Shangbin, JIANG Yong, YAN Liping, XU Jianjun, GUO Xiaodong   

  1. 1.Northwest Oil Field Company, Sinopec Corp, Urumqi 830011, China
    2.College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China
  • Online:2020-08-15 Published:2020-08-11



  1. 1.中国石油化工股份有限公司 西北油田分公司,乌鲁木齐 830011
    2.四川大学 电子信息学院,成都 610065


Owing to the rapid development of intelligent wireless sensor and wireless communication techniques, the Internet of Things(IoT) has considerably improved the frequency of data acquisition and the efficiency of production process control for oil industry applications. However, the existing IoT system still processes the sensed data and issues a control command through the computing resources located in distant data center. As a consequence, network bandwidth and communication latency become serious bottlenecks. Edge computing technology is used to edge intelligence equipment in IoT application, it makes full use of the computing and storage capacity at the edge of the gateway, uses isolation forest algorithm to carry out anomaly data detection and automatically learn alarm rules, and simultaneously realizes the logic control of the temperature and the valve switch of furnace heater. The processing function previously in the cloud is implemented at the edge, so as to reduce the requirements on the network latency and meet the oil industrial application needs in remote areas.

Key words: Internet of things, edge computing, isolation forest



关键词: 物联网, 边缘计算, 孤立森林