E3S Web Conf.
Volume 280, 2021Second International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2021)
|Number of page(s)||11|
|Section||Measuring, Forecasting and Monitoring Sustainability|
|Published online||30 June 2021|
Sustainability and reliability ensurance models for automated technological systems in chemical industry: systemic ergonomic approach
1 Sumy State University, Department of Computer Science, 2 Rymskoho-Korsakova Str., Sumy, 40000, Ukraine
2 Taras Shevchenko National University of Kyiv, Department of General Mathematics, 60 Volodymyrska Str., Kyiv, 01033, Ukraine
3 Saint Petersburg Electrotechnical University “LETI”, 5 Professora Popova Str., St. Petersburg, 197022, Russia
4 ITMO University, 49 Kronverkskiy Ave., St. Petersburg, 197101, Russia
5 Povolzhskiy State University of Telecommunications and Informatics, 23 Lva Tolstogo Str., Samara, 443010, Russia
6 G.I. Nevelskoi Maritime State University, Department of Automatic and Information Systems, 50a Verkhneportovaya Str., Vladivostok, 690059, Russia
* Corresponding author: firstname.lastname@example.org
The paper considers accidents and potential hazards of the world chemical enterprises, and provides statistics of accidents and human casualties. The authors investigate harmful factors affecting the production process and a human-operator, showing the central role of a human in the technological process (both as a source of errors and as an active element that eliminates errors, failures and cyber attacks’ consequences). We essentially consider automated technological complex as a Human-Machine-Environment system, thus a human-system approach should be applied. The authors developed a complex of systemic components and morphological models, which describe the human-machine system in the sections required for analysis, to ensure sustainable and reliable design with initial data. The authors also propose a method and information technology for interfaces’ ergonomic assessment; the principles for adaptive interfaces design; and mathematical models and information technology to assess safety and timeliness indicators of the chemical production operators’ activities. The models are based on the principles of the functional-structural theory by Anatoly Gubinsky, Vladimir Evgrafov, Akiva Asherov, Pavel Chabaneko and others, and on the mathematical apparatus of functional networks. Further, the authors develop an optimization model for decision supporting organizing the human-machine control technology, using the criterion of minimizing losses from unreliability and unsustainability. Both the models and the information technology have undergone extensive testing, including solving the tasks of: choosing the automation level for the control process; distributing functions between operators; control algorithms design; user interface design, design of agent-managers to support the operators’ activities. The results can be used as the basis for a decision support system to ensure sustainability and reliability of automated technological systems in chemical industry.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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