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dc.contributor.authorZhao, Yuanru
dc.coverage.spatialМинскru
dc.date.accessioned2021-06-17T06:08:18Z
dc.date.available2021-06-17T06:08:18Z
dc.date.issued2021
dc.identifier.citationZhao, Yuan. 智能车间动态协同优化建模及关键技术研究 / Yuan Zhao // II Китайско-белорусский молодежный конкурс научно-исследовательских и инновационных проектов : сборник материалов конкурса, 20-21 мая 2021 г. / Белорусский национальный технический университет ; Научно-технологический парк БНТУ «Политехник» ; Институт Конфуция по науке и технике БНТУ. – Минск : БНТУ, 2021. – С. 97.ru
dc.identifier.urihttps://rep.bntu.by/handle/data/94898
dc.description.abstractIt is the key to realize the integration of multi-conflict objectives, multi-conflict constraints and multi-scale intelligent optimization decision-making and control in intelligent workshop under the environment of Internet of things. At the same time, the dynamic collaborative optimization of various systems in intelligent workshop is of great significance to reasonably organize production, improve product quality and reduce material and energy consumption. Finally, based on the actual production process of intelligent workshop, the above optimization strategies and methods are simulated and verified by industrial application. The research results provide important theoretical basis and practical experience for multilink and multi-scale dynamic collaborative optimization of intelligent workshop.ru
dc.language.isocnru
dc.publisherБНТУru
dc.title智能车间动态协同优化建模及关键技术研究ru
dc.typeWorking Paperru


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