Intelligent IoT wireless supervision system in oil pipeline grid

Saeed, Nagham (2018) Intelligent IoT wireless supervision system in oil pipeline grid. In: Intelligent IoT Wireless Supervision System in Oil Pipeline Grid, 5-2-2018, Ealing-London. (Submitted)

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Abstract

The security of oil transportation through pipeline grids is of paramount importance. One of the security methods currently used in this field is a monitoring and supervision system. This poster represents a proposal to blend Internet of Things (IoT) with artificial intelligence (AI) to create a knowledge-based system to monitor and supervise oil transportation through the pipeline grid. The reliability of IoT allows the user to gain lots of useful data to satisfy the needs, analyse health, gain the direction, achieve better communication and have a higher accuracy percentage. In this research, the Internet of things were the pressure and volume sensors near the valves and pumps. Nowadays, AI has proven its effectiveness in many disciplines and therefore Neuro-Fuzzy (NF) will be used as the prediction tool in the system. The supervision system is developed in phases; three simulation systems should be produced. Phase one; a wired centralized supervision system, phase two; a wired decentralized supervision system and finally phase three; a wireless decentralized supervision system. The first phase showed promising results, while the work will continue with the other two phases.

Item Type: Conference or Workshop Item (Poster)
Subjects: Computing > Intelligent systems
Depositing User: Nagham Saeed
Date Deposited: 09 Apr 2019 08:40
Last Modified: 11 Apr 2019 15:50
URI: http://repository.uwl.ac.uk/id/eprint/5923

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