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An approach to net-centric control automation of technological processes within industrial IoT systems

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Abstract

The use of industrial internet networks with net-centric control is the driving trend behind the future material manufacturing of goods and services. The promising future of this approach is provided by these complex net-centric systems functioning with high reliability. The problem of intelligent net-centric control and reliable network functioning is fundamental, with the additional requirement that the system should preserve stakeholder security and privacy according to policies. The issue is that such systems are characterized by complex multi-parameter operability modes controlled by various criteria. This study considers an approach to providing reliable management of complicated Internet of things (IoT) systems. This is achieved by solving multi-criteria tasks over many processes of various physical natures. Corresponding methods of hierarchical decomposition of multi-criteria tasks, process levels of multi-criteria optimization, specifics of aggregation levels, and the master equation of the optimization process are described.

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Acknowledgements

This work was financially supported by the Ministry of Education and Science of the Russian Federation, within the framework of the Federal Targeted Programme for Research and Development in Priority Areas of Advancement of the Russian Scientific and Technological Complex for 2014-2020 (Grant No. 14.578.21.0211, ID RFMEFI57816X0211).

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Authors and Affiliations

  1. Institute of Computer Science and Technology, Peter the Great St. Petersburg Polytechnic University, Polytechnicheskaya 29, Saint Petersburg, Russia, 195251

    Nikita Voinov, Igor Chernorutsky, Pavel Drobintsev & Vsevolod Kotlyarov

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  1. Nikita Voinov
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  2. Igor Chernorutsky
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  3. Pavel Drobintsev
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  4. Vsevolod Kotlyarov
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Correspondence to Nikita Voinov.

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Voinov, N., Chernorutsky, I., Drobintsev, P. et al. An approach to net-centric control automation of technological processes within industrial IoT systems. Adv. Manuf. 5, 388–393 (2017). https://doi.org/10.1007/s40436-017-0195-4

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  • DOI: https://doi.org/10.1007/s40436-017-0195-4

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