Cyber and physical equipment digital control system in Industry 4.0 item designing company

Gurjanov, A. V.; Заколдаев, Д А; Шукалов, А. В.; Жаринов, И. О.

doi:10.1088/1742-6596/1015/5/052035

Cited by 8 publications

(5 citation statements)

References 8 publications

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“…The artificial intelligence important properties for the Industry 4.0 objects are its ability to control cyber-physical systems where humans participate (informative and calculation personation support to make a decision) and without the human participation, which means independently. The complimentary pair «natural intelligence -artificial intelligence» of calculation component is to analyze data and then to synthesize controlling influences, which could be corrected by humans and with that correction it is the integral solution and knowledge base modification [11,12].…”

Section: Artificial Intelligence In the Factory Control Systemmentioning

confidence: 99%

“…The regulator activity information provision is done after periodical inquiry of the production sensor sub-systems with a high frequency in a closed cycle, which let gather in the general calculation data processing center the relevant factory control objectives and the cyber-physical equipment functionality characteristics. A data congregation to define in numbers being monitored technological processes conditions to be processed by the artificial intelligence after which controlling influences are formed to correct processes in cyber-physical systems [11,13].…”

Section: The Control System Architecture With a Centralized Intellect...mentioning

confidence: 99%

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Cyber-physical systems control principles and congregation of resources for a centralized and decentralized artificial intelligence

Gurjanov¹,

Babenkov

Жаринов

et al. 2022

J. Phys.: Conf. Ser.

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The cyber-physical systems control task is being studied and their congregations based on artificial intelligence calculation resources. An artificial intelligence made with virtual environment including a digital regulator (control functions) and control object digital twins. An artificial intelligence is viewed as an independent control subject, which could be permitted to be placed in cyber-physical production computing resources (clouds) for a centralized or a decentralized cyber-physical production. There is a scheme and description given of a control system based on an artificial intelligence, which could be applied in practice to regulate horizontal chains of quasi-autonomous cyber-physical systems and production combines of factories being functioned in the Industry 4.0 infrastructural conditions.

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Section: Artificial Intelligence In the Factory Control Systemmentioning

confidence: 99%

Section: The Control System Architecture With a Centralized Intellect...mentioning

confidence: 99%

Cyber-physical systems control principles and congregation of resources for a centralized and decentralized artificial intelligence

Gurjanov¹,

Babenkov

Жаринов

et al. 2022

J. Phys.: Conf. Ser.

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“…In addition, among precarious issues of the digital economy and the activities in the virtual space in general, we can mention the problems of information security, security of operations and cybercrime [4,5,8,11].…”

Section: Compiled By the Authors On The Basis Of Rosstat Databasementioning

confidence: 99%

Digitalization of Business Processes in Human Resources Management of Russian Industrial Enterprises

Odegov¹,

Malakhova²,

Гарнов³

2019

Proceedings of the International Conference Communicative Strategies of Information Society (CSIS 2018)

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This article is dedicated to the problem of human resources management of industrial enterprises in digital economy. The relevance of the study is due to the need of adaptation of industrial enterprises to operating in the digital economy environment. The aim of the study is to analyze the current state of digitalization of the Russian industry and to identify the reasons that hinder the digitalization of business processes of human resources management. The research applies both Russian and international studies and statistical sources of information on the problems of digitization of human resources management. The analysis of Russian statistics shows that the industry enterprises lag behind other sectors of economy in digitalization of business processes of personnel management. This paper presents the most promising technologies in the field of recruitment, such as artificial intelligence, and describes the useful effect of their implementation. The internal and external reasons that constrain the digitalization of business processes of human resources management are listed: the macroeconomic situation, the lack of highly qualified specialists, the lack of information resources and software products, industry specifics, the interest of shareholders and managers of industrial enterprises in obtaining fast and not long-term results, the complexity of changing business processes in the established production. One of the main reasons is also the lack of investment. Among the general problems of digitalization and business activities in virtual space, the problems of information security, security of operations and cybercrime are mentioned as the most urgent. It is concluded that since the digitalization of business processes requires enterprises to attract significant resources, the solution to this problem can be public and governmental support for private investment. Industrial enterprises are encouraged to form industry associations for cofinancing and reducing risks in implementation of projects for digital upgrade, as well as for interaction with public authorities, technology companies and research centers and for collaborative development of industry platforms, solutions and standards. With a sufficient amount of investment, the digitalization of business processes of all industrial enterprises can provide high rates of economic growth and become the basis for the creation of the country's new economic structure. The results of the study can be used to improve the supporting mechanisms of the human resources management digitalization of national industry.

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“…A CPP multi-aspect control concept is done with program and electronic systems, which control the CPS output signals values in each information tide which has an IP (Internet Protocol)-agent [8,9]. The CPS initiation and control are provided with different route technologies engaging short and long cycles [10]:…”

Section: Introductionmentioning

confidence: 99%

Control of parallel computing in a cyber-physical production environment

2021

Proceedings of the III International Workshop on Modeling, Information Processing and Computing (MIP: Computing-2021)

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The problem of the functional stability of the Industry 4.0 production facility is considered. The structure of cyber-physical system is given, the components of which are controlled through a special purpose network. The communication features of the software control of equipment are determined. The regulation of production processes is provided by built-in automation that supports tools for online modeling of technological processes. Equipment management is performed in an optimization model adequate for parallel computing systems. Communication control mechanisms of cyber-objects are borrowed from the theory of automatic systems and from the theory of networks. Joint calculations allow controlling industrial equipment through the network and adjusting the coefficients of regulators responsible for tuning cyber-physical systems. Improving the manageability of cyber-physical production is based on the modification of command and data flows, adaptively changing for technological tasks. Multipurpose control is implemented through a network that transfers targeted regulatory actions to controlled objects. The presence of computing, control and network components ensure the functional stability of the processes of physical dynamics of production, monitored by software.

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Cyber and physical equipment digital control system in Industry 4.0 item designing company

Cited by 8 publications

References 8 publications

Cyber-physical systems control principles and congregation of resources for a centralized and decentralized artificial intelligence

Cyber-physical systems control principles and congregation of resources for a centralized and decentralized artificial intelligence

Digitalization of Business Processes in Human Resources Management of Russian Industrial Enterprises

Control of parallel computing in a cyber-physical production environment

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