The Method of Applying Machine Vision in the Concept of “Smart Oil Storage”

Abstract

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. 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. Machine (computer) based vision is a fairly young and rapidly developing field of scientific and applied research, the main purpose of which is to build systems capable of “seeing”, that is, extracting information about world objects from images, which is valuable for further use within any application and its nest step of progressing “smart” oil-storage. At the same time, the processing of video information is carried out on universal or specialized computers. The formation of algorithms and practical methods of applying machine vision in the concept of smart oil storage will significantly increase the autonomy of intelligent algorithms for farm takers management and ensure its safe operation.