According to the top-priority trends and challenges in the mineral sector, and as per the mining science strategy, it is highly critical to arrange enhanced control, prediction and safety of production objects and their functioning for the preservation of automation sustainability. Improved control of databases, regulatory bonds, management, logistics and principles of sustainable development in mining makes it possible to reduce technological deviations and accidents at large mining and processing plants. Most procedural violations and accidents in surface and underground mines occur because of the unskilled actions of process flow operators. Damage in this case can be considerable, especially as compared with the expenses connected with qualitative training and persistent development of personnel engaged with supervisory control and data acquisition for the efficient operation of SCADA-systems within the automation framework of mining and processing plants. Definition of digital systems and their interrelation with multilevel automated control can be incorrect. The review of new principles can awaken interest in the conceptual assessment of digitalization processes using such notions as: numerical models, simulator, and artificial intelligence. Often applied formulations and principles of a digital model are substituted without justification of functional connections. On the other hand, a digital system today can be assumed as robotic lines and other numerical models and smart technologies, for instance, machining stations with numerical program control. It is necessary to define the practical significance of conceptual modifications and digital transformation regarding objects of the mineral sector, using Big Data; to understand how a digital twin can influence a changeable process situation; to provide prompt prediction; to eliminate an accident; and to preserve the physical balance in the whole production system. Such intelligent and flexible productions particularly need computerbased simulators and digital twins based on technologies of Industry 4.0–extended and virtual reality on the basis of digital twins. Digital twins allow maximal simulation of real-life activity of process flow operators. The skills acquired by personnel after such simulation training enable operators to master the optimized procedure for functioning in emergency situations in mineral mining and processing. This paper exemplifies the remote training and control of process flows, which is of concern in the current international situation.
Статья посвящена 150-летнему юбилею Периодической таблицы химических элементов Д.И.Менделеева. Фундаментальный закон природы, открытый Д.И.Менделеевым, имеет аномалии и парадоксы, связанные с некоторыми группами металлов. При изучении физико-химических свойств комплексных металлических соединений можно встретить большое количество несоответствий, а именно, места расположения элементов в группах, которые в первую очередь относятся к металлам с разной валентностью. Изучая подходы и методы прогнозирования расстановки химических элементов, можно установить, что многие различия по некоторым металлам были устранены Д.И.Менделеевым в процессе формирования Периодической системы химических элементов. Д.И.Менделеев выработал принцип, исключающий подобные ошибки при нахождении и открытии новых элементов. Аналитические исследования, проведенные российским ученым, помогли вычислить атомные массы и описать свойства трех элементов, не известных еще в тот период времени -«экабора», «экасилиция», «экаалюминия», существование которых доказано и подтверждено последующими открытиями скандия, германия, бора, галлия. В работе дана значимая оценка прогнозирования металлов в различных группах периодической системы. Изменение свойств некоторых металлов существенно повлияло на их расположение в таблице Д.И.Менделеева.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.