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Proactive Decision Making Based IoT Framework for an Oil Pipeline Transportation System

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Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018) (ICCBI 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 31))

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Abstract

In today’s modest production atmosphere, process diligences ultimatum a completely incorporated control along with optimization elucidation which can upsurge throughput, dependability, and superiority while diminishing cost. Due to the intricacy and interdisciplinary style of evolving engineering strategies and clarifications of upgraded security and performances, provides us an authoritative tool to accomplish computer-based data acquisition and virtual instrumentation, which leads to profligate becoming a standard rather than an exemption. The appearance of the industrial Internet of Things (IoT) architype served better platform for increasing the monitoring proficiencies by the usage of virtual and embedded based field sensors. Sensor-produced data can be utilized to envisage adverse situations when it deviates from the normal operating functions which enable operators to resolve and act proactively. Hence this paper points out the importance of IoT for an oil pipeline system with diverse monitoring condition as a pragmatic aspect in the transportation and also it emphasizes the framework outline for a smart oil field system with its necessity and its advance feature incorporated using the Internet of Things (IoT).

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Acknowledgments

This research work is carried out under the Senior Research fellowship received from CSIR (Council for Scientific and Industrial Research) with grant no. 678/08(0001)2k18 EMR-I.

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Authors and Affiliations

  1. Mechatronics Engineering Department, Kongu Engineering College, Erode, India

    E. B. Priyanka, C. Maheswari & S. Thangavel

Authors
  1. E. B. Priyanka
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  2. C. Maheswari
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  3. S. Thangavel
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Corresponding author

Correspondence to E. B. Priyanka .

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Editors and Affiliations

  1. Department of CSE, Vaigai College of Engineering, Melur, India

    A. Pasumpon Pandian

  2. Department of Engineering, University of the Ryukyus, Okinawa, Japan

    Tomonobu Senjyu

  3. Edith Cowan University (ECU), Joondalup, WA, Australia

    Syed Mohammed Shamsul Islam

  4. Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA

    Haoxiang Wang

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Priyanka, E.B., Maheswari, C., Thangavel, S. (2020). Proactive Decision Making Based IoT Framework for an Oil Pipeline Transportation System. In: Pandian, A.P., Senjyu, T., Islam, S.M.S., Wang, H. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-030-24643-3_12

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  • DOI: https://doi.org/10.1007/978-3-030-24643-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24642-6

  • Online ISBN: 978-3-030-24643-3

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