DOI: https://doi.org/10.32515/2664-262X.2019.1(32).220-227

Rationale for the Development of Automated Computer-integrated Technology for the Identification and Monitoring of Oil Pollution

Olena Holyk, Roman Zhesan, Mohammad Ismail

About the Authors

lena Holyk,, Associate Professor, PhD in Technics (Candidate of Technics Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine

Roman Zhesan, Associate Professor, PhD in Technics (Candidate of Technics Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine

Mohammad Ismail, postgraduate, Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine

Abstract

Large oil spills in seawater are not regular, but the damage to the marine ecosystem is significant. Petroleum companies and oil shipment vessels can not prevent oil spills in the future, but they must be prepared to respond quickly to damages. Such technologies are at an early stage of development. The purpose of the article is to study modern automated technologies for monitoring, identification and purification of marine waters from oil pollution. The analysis of recent research has been performed and the need to develop a robot with artificial intelligence has been substantiated. A research methodology and stages of work are proposed. This robot should directly at place oil spill analyze the degree of pollution and clean the sea water. To develop a robot, it is suggested to use statistical methods (for processing data and identifying interactions); mathematical apparatus of fuzzy logic and neural networks; intelligent decision support systems; methods of simulation. Using the database and knowledge base, the robot will be able, depending on the type of pollution, to choose a method of cleaning sea water from oil pollution. In order to develop a robot that should perform the functions of monitoring, identifying and purifying seawater from oil pollution in real time, it is necessary to have information on types of oil spills, their chemical composition and methods of purification. On the basis of the information obtained, create databases and knowledge that will enable the development of the intellectual system with the neural network. Since the impacts of oil pollution can grow rapidly, it is necessary that such works be located directly at the facility (near wells, oil refineries, oil pipelines, etc.), in particular, by sea transport. This can solve the problem of remote sensing of oil spills. In addition, when developing a robot, it is necessary to consider the possibility of analyzing meteorological information. Now is working is ongoing on the accumulation of oil pollution statistics.

Keywords

artificial intelligence, oil pollutions, robot, neural network

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References

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Copyright (c) 2019 Olena Holyk, Roman Zhesan, Mohammad Ismail