Concept of “smart” oil storage facility for agricultural purposes

Author:

Nagornov Stanislav,Levin Maksim,Levina Ekaterina

Abstract

Technological parameters and technical level of the equipment at an oil storage facility influence motor fuel’s quality and its waste during reception, storage and transfer. The use of intelligent systems during the oil storage and handling process enhances quality preservation and reduction of motor fuel waste caused by evaporation, oxidation and hydration while stored in above-ground horizontal steel tanks. Systems managing “smart” oil-storage facilities combine technologies for on-line collection, transmission and storage of information with instant data processing and analysis, and managerial decision-making techniques. A methodological framework, that includes algorithms and a program with sensors to monitor indicators of an automated horizontal oil reservoir, has been developed to control the technological parameters (temperature, pressure, fuel level) of the tanks during storage of light oil products, and to protect fuel against flooding and evaporation. The application of the neural network forecasting technique for fuel waste from evaporation during storage, and processing of the data array, made it possible to calculate with a 98% accuracy rate the gasoline waste during storage in horizontal on-ground tanks with up to 100 m3 in volume capacity. The application of a neural network enables development of new fuel storage algorithms and calculation of the optimal storage amount to minimise losses. The concept and developed digital intelligent control solutions for oil storage allows combining data in oil management into a single information space, and to control the automated oil storage system with application of neural networks, deep learning and Big Data.

Publisher

EDP Sciences

Reference19 articles.

1. Agro-industrial complex in 2017 (Rosinformagrotekh, Moscow, 2018)

2. Chekmarev P.A., About the state of machine-tractor Park, improvement of work of engineering and technical services of agrarian and industrial complex and tasks within implementation of the State program for 2013-2020, Retrieved from: http://irkobl.ru/sites/agroline/02_Chekmarev_31_01_%D0%98%D1%82%D0%B E%D0%B3_.pdf.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Method of Applying Machine Vision in the Concept of “Smart Oil Storage”;2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA);2022-11-09

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