Збірники наукових праць ЦНТУ

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Моніторинг та аналіз нафтових забруднень водних ресурсів з використанням інтелектуальної системи підтримки прийняття рішень
(ЦНТУ, 2020) Голик, О. П.; Березюк, І. А.; Мірошніченко, М. С.; Ісмаіл Мухаммед; Holyk, O.; Bereziuk, I.; Miroshnichenko, M.; Mohammad Ismail; Голик, Е. П.; Березюк, И. А.; Мирошниченко, М. С.; Исмаил Мухаммед
В статті для аналізу та моніторингу нафтових забруднень водних ресурсів запропоновано розробити інтелектуальну систему підтримки прийняття рішень, яка має в своєму складі базу даних параметрів нафтових забруднень та базу знань способів очистки. Oil production is increasing. This increases the number of accidents. Oil spills are increasing. Since oil has special physical and chemical properties and parameters, contamination of water resources by oil and oil products causes man-made disasters. The authors made the assumption that a robot with artificial intelligence will be used to purify the water surface from oil (oil products) by biological methods. This robot will be located directly on the ship and will monitor and analyze oil pollution. In order to carry out clean-up activities at the site of the accident, it is necessary to have information on the main parameters of oil pollution. The authors of this article propose a structure for the monitoring and analysis of oil pollution in water resources. According to this structure, analysis and monitoring must be carried out by an intelligent decision support system. An intelligent decision support system includes a database of oil pollution parameters and a knowledge base. The aim of this work is to analyze oil pollution on the water surface using an intelligent decision support system. In order to achieve this objective, the article proposes the structure of the oil pollution parameter database, which is part of an intelligent system to support decision-making on oil pollution analysis and assessment. This scheme includes the main parameters of oil pollution affecting the decision on the choice of type and quantity of treatment products for the biological treatment method. An algorithm for determining the capacity of oil spill is proposed. The main elements of the oil pollution parameters database are: type of oil products, capacity of oil spill, water flow, wave height and velocity, wind direction and speed. In future, the analysis and monitoring scheme for oil-based water pollution will be expanded to include special technical, measuring and meteorological instruments that will allow the immediate presence of the oil (oil products) spill investigate oil contamination parameters. В статье для анализа и мониторинга нефтяных загрязнений водных ресурсов предложено разработать интеллектуальную систему поддержки принятия решений, которая включает в себя базу данных параметров нефтяных загрязнений и базу знаний способов очистки.
Структура моніторингу та ідентифікації нафтових забруднень
(ЦНТУ, 2019) Голик, О. П.; Волков, І. В.; Ісмаіл Мухаммед; Голик, Е. П.; Волков, И. В; Исмаил Мухаммед; Holyk, O.; Volkov, I.; Mohammad Ismail
В статті запропоновано схему структури загального аналізу нафтових забруднень у режимі реального часу. В даному випадку пропонується для очистки вод від нафтових забруднень використовувати біологічні способи очистки. В статье предложена схема структуры общего анализа нефтяных загрязнений в режиме реального времени. В данном случае предложено для очистки воды от нефтяных загрязнений использовать биологические методы очистки. In different countries, scientists pay attention the method of monitoring, identification and water purification from oil pollutions. The problem of oil pollution is not only relevant for oil producing countries. Oil spills can occur anywhere in the world. The authors of this article propose to develop the robot with artificial intelligence that would monitor, identify and purify water resources from oil pollution in the mode of real time. Previous studies have shown that it is advisable to use biological methods to water purification from oil pollution. To date, scientists have already developed preparations containing a consortium of microorganisms to purify water resources from oil and petroleum products. Microorganisms are able to adapt to large doses of oil. As a result of the biological treatment of petroleum contamination, such microorganisms in the environment remain bacterial protein (which does not require further disposal) and non-toxic oil decay products. The products of the activity of bacteria and the bacteria themselves are easily absorbed by the native microflora, giving the basis for the formation of humus or forming bottom silt. The purpose of this work is to investigate installations for the biological treatment of water resources from oil and petroleum products. In order to achieve this goal, the structure of the scheme of general analysis of oil pollution is proposed in the article. This scheme contains blocks of comparison, determination of the type and amount of contamination. The results are processed using statistical and mathematical analysis methods. The following algorithm is proposed. The robot has a special container for collecting water samples. This container has special sensors that determine the condition of the sample and transmit information to the comparison unit. The comparison unit, based on the knowledge base, determines the conformity of the water sample to the standards. If the amount of pollutants is exceeded, the information goes to the units for determining the amount and type of pollutants. In the results processing unit, decisions are made regarding the method of purification and the amount of purification preparation. In the future, this scheme will be modified and synthesized. More attention should be paid to developing a database and knowledge that is part of an intelligent decision support system. The application of this scheme to the analysis of oil pollution is possible not only for the determination of oil pollution in water resources.

Збірники наукових праць ЦНТУ

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