Intelligent Systems and Human Being

Pupkov, K.A.

doi:10.1016/j.procs.2019.02.090

Cited by 5 publications

(2 citation statements)

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“…Однако в настоящее время они перестали отвечать современным вызовам промышленности в рамках перехода на индустрию 4.0 и использование инструментов для построения безбумажного цифрового производства. Поэтому в последнее время стали задумываться над созданием интеллектуальных систем управления (ИСУ), основанных на знаниях, нечеткой логике и интеллектуальной обработке информации [4][5][6][7][8][9].…”

Section: ведениеunclassified

“…К новым функциям таких систем можно отнести понимание воздействий окружающей среды, моделирование реального мира, планирование последовательности действий, оптимальное управление с целью достижения желаемого результата, элементы адаптации и самоорганизации [4][5][6]. Интеллектуальные системы управления (intelligent control systems) [7] -это системы управления, способные к «пониманию» и обучению в отношении объектов управления, возмущений, внешней среды и условий работы. Основное отличие интеллектуальных систем -наличие механизма системной обработки знаний.…”

Section: ведениеunclassified

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The concept of intelligent control system of small-scale production

Vozhakov

Stolbov

2023

Appl. Math. Control Sci.

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The relevance of the research topic is determined by the rapid development of technology, the variability of the external environment and the beginning of the third industrial revolution, which leads to instability, uncertainty and complexity of the modern world. It is noted that the existing production management tools do not meet new challenges, and that new management tools are needed to ensure the flexibility and effectiveness of production in a volatile environment. The article proposes the concept of creating intelligent control systems for industrial enterprises based on knowledge, fuzzy logic and intelligent information processing. An industrial enterprise is viewed as a complex system consisting of hierarchies of goals, decision making and business processes. A brief analysis of the main types of automated production management systems, such as ERP, APS, MES, SCADA and APCS is given. It is noted that in connection with the transition to industry 4.0, there is a need to create intelligent control systems (ICS) based on knowledge, fuzzy logic and intelligent information processing. It is proposed to develop existing automated control systems by creating built-in intelligent elements capable of automatically solving optimal control problems and influencing production by transferring control actions to the control system. The system is developed on the basis of mutually integrated standard automated control systems and the situational center of the enterprise. The implementation and use of ICS will increase the speed and efficiency of decision-making, allowing enterprises to better adapt to changes and optimize the use of resources.

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Section: ведениеunclassified