This article is devoted to methodology of calculation of transport and operational parameters of condition of highways. The technique of determination of parameters of geometrical elements of the road is presented. The technique of definition of strength of road clothes according to statistical and dynamic methods is described. The specifics of measurement of coupling properties and longitudinal flatness of road carpet are presented. The methodology of inspection of engineering arrangement and assessment of parameters of structural elements of highways is concretized.
Justified in the article is the demand for automation of technological processes at industrial enterprises in Russia. This article identifies the possibilities of using artificial intelligence and implementing smart manufacturing in the industry. Successful practices of IoT technologies at foreign enterprises are analyzed. The priorities of the leading Russian industrial companies in the field of digitalization have been revealed: expanding the use of cloud technologies; predictive analysis; IaaS services (virtual data centers and storage systems); supervisory control and data acquisition (SCADA) etc. Targets for priority manufacturing technologies within the federal project Digital Technologies have been identified: mathematical modelling, Smart design and PLM (product lifecycle management), Smart Manufacturing, manipulators and manipulation technologies; the technology of building a comprehensive architecture and strategy for the use of smart manufacturing has been specified. Smart Design provides the implementation of the concept of digital smart manufacturing through Digital Twin technology based on mathematical models of different levels of complexity and adequacy. Smart Manufacturing involves the preparation and implementation of a production process with minimal human participation based on PLM-system data, operational management of technological processes, production, and enterprise. Manipulation technologies include mathematical modelling techniques for robotic systems and the development of appropriate software. The main possibilities of forming the smart potential of industrial production have been revealed: productivity growth and improved product quality; ensuring the reliability and quality of decision-making; infrastructure security guarantees. Results: 1. The practical need to use artificial intelligence and to implement actively smart manufacturing at russian enterprises is justified. 2. The targets for the period up to 2024 on the main technological trends of the development of smart productions in Russia are specified. 3. Opportunities for the formation of smart potential and its strategic use for the development of industrial production are identified.
Тренды экономики промышленности России Промышленное производство в 2018 году. Общие тенденции В 2018 г. промышленное производство выросло по сравнению с 2017 г. на 2,9%, в декабре 2018 г. по сравнению с декабрем 2017 г.-на 2,0%, по сравнению с ноябрем 2018 г.-на 7,0%. В целом период 2017-2018 г. можно оценить, как время некоторых улучшений промышленной динамики (рис. 1). В 2018 г. по сравнению с 2017 г. эта тенденция приобрела более устойчивый характер, хотя к концу года опять наметился спад (рис. 2). И в 2017 г., и в 2018 г. динамика обрабатывающих производств периодически опережала показатели добычи полезных ископаемых. РОССИЙСКИЙ ЭКОНОМИЧЕСКИЙ УНИВЕРСИТЕТ им Г.В. ПЛЕХАНОВА В этом выпуске: Промышленное производство в 2018 году. 1 Общие тенденции Производство отдельных видов 3 продукции Региональные особенности промышленного 7 развития Динамика цен на промышленную 8 продукцию Промышленные товары в 9 структуре экспорта Финансовые результаты промышленной 11 деятельности Индекс предпринимательской уверенности 12 Инвестиции в производство 14 Однако во второй половине 2018 г. наметился очередной спад и отставание от добывающей промышленности стало существенным (рис. 3).
The probability of coarse hydrosol particles breaking through a fibrous filter has been calculated for the sieve capture mechanism.
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