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Increasing reliability of production work personnel when using graphic models of technological processes
Author(s) -
S. Sh Abyzgildina,
Z.R. Mazina
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1515/2/022037
Subject(s) - petrochemical , reliability (semiconductor) , production (economics) , computer science , work (physics) , risk analysis (engineering) , software , oil refinery , manufacturing engineering , systems engineering , industrial engineering , reliability engineering , engineering , business , waste management , mechanical engineering , power (physics) , physics , quantum mechanics , economics , macroeconomics , programming language
One of the main causes of accidents at oil refining and petrochemical plants is the human factor. Major accidents at petrochemical plants lead not only to loss of life, but also to environmental contamination. Currently, a complex system of tests and exams is used for staff training. One of the most effective training methods is the use of computer simulators. Unfortunately, the cost of these training systems is estimated in the dozens and hundreds of thousands of dollars. Plants themselves cannot develop such complex information systems on their own due to the lack of relevant software products on the market. A possible solution to the problem of meeting the needs of petrochemical plants is to develop a software platform for creating technological simulators that would meet the explosion safety rules. In this regard, to develop mathematical models of complex chemical and technological systems, a method and program for modeling chemical and technological processes is necessary. To increase the efficiency of calculation algorithms it is proposed to use the method of graphic models.

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