IMPROVING THE EFFICIENCY OF THE AUTOMATED SYSTEM OF CONTROL FOR OIL TRANSPORTATION PROCESS ON THE BASIS OF INTELLECTUAL TECHNOLOGIES
DOI:
https://doi.org/10.31471/1993-9981-2020-2(45)-58-65Keywords:
main oil pipeline, automatic control system, control object, intellectual pipeAbstract
The paper considers an urgent scientific and practical task, which consists in the development of new ones. An urgent scientific and practical task is investigated, which consists in the development of new methods and methods for assessing the technical condition of oil trunk pipelines, which will provide safe automated control of the oil transportation system. It has been determined that in conditions of intensive aging of fixed assets of oil transportation systems and financial constraints, complex technical diagnostics of oil trunk pipelines becomes the most effective means of ensuring the reliability and safety of the entire oil transportation system.
Simulation modeling is inherently complex and time-consuming process that requires many computations, including distributed ones. There are several stages of simulation modeling (MI). In the most general, enlarged form, these are the following stages: setting the problem, collecting and processing data, developing and adjusting the model, modeling, accumulating results, planning experiments, analyzing the results, documenting and storing the results. To carry out such research, various systems for the automation of imitation research (SAIS) are being created. A cloud-based approach to conducting MI, which makes it possible to simplify and unify research for the end user, to abstract the researcher from the technical features of the organization of calculations. Cloud AISI is invariant with respect to the target hardware and software. That is why the development of new and promising control and management tools based on artificial intelligence with a combination of cloud technologies is an urgent scientific and practical task, based on the results of which the main scientific problems requiring further research have been identified.
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References
Sementsov G.N. Fazzi-model for simulation of unauthorized leakage of oil from the pipeline / G.N. Sementsov, O.V. Kuchmistenko // Academic Bulletin. - Krivoy Rog. - 2004. - № 13. - P. 84-86.
Sementsov G.N., Chugur I. I. Fuzzy identification of rock layers with anomalous pressure.// Proceeding of the Third Conference of the European Soceity for Fuzzy Logic and Technology (EUSFLAT) - Zittay (Germany) / - 2003. - P. 570-573.
Sementsov G.N. Automation of production processes of oil and gas transport: [textbook. manual] / GN Sementsov, YR Koguch, MM Dranchuk, VS Borin. - Ivano-Frankivsk: Fakel, 2003. - 265 p.
Sementsov G.N. Intelligent process control systems: [textbook. manual] / GNSementsov, YB Golovata. - Ivano-Frankivsk: IFNTUNG. - 2012. 173 p.
Sementsov G.N. Modern tendencies of construction of automatic control systems in industry / GNSementsov // Exploration and development of oil and gas fields. Technical Cybernetics and Electrification of Fuel and Energy Complex Series. - 1999. Vip. 86 (vol. 6). - P.3-12.
Kuchmistenko O.V. Improving the efficiency of the automated control system of the oil transportation process based on intelligent technologies. // Exploration and development of oil and gas fields: all-Ukrainian. scientific and technical magazine. - Ivano-Frankivsk: Torch. - 2018. - №2. - P. 7-13.
Kuchmystenko O.V. Design of oil transport facilities with distributed parameters on the basis of cloud technologies Kuchmistenko O.V. // International Scientific Conference "ORGANIZATION OF SCIENTIFIC RESEARCH IN MODERN CONDITIONS". Proceedings of the conference May 14-15, 2020 KindleDP Seattle, Washington, USA together with ISE & E & SWorld. 2019. - P. 120-125.
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