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dc.contributor.authorLiu, Yefengru
dc.coverage.spatialМинскru
dc.date.accessioned2021-06-17T06:08:00Z
dc.date.available2021-06-17T06:08:00Z
dc.date.issued2021
dc.identifier.citationLiu, Yefeng. 数据-模型混合驱动的端盖生产线自主智能协同优化方法研究 = Research on autonomous intelligent collaborative optimization method of end cover production line based on data-model hybrid drive / Yefeng Liu // 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. 26.ru
dc.identifier.urihttps://rep.bntu.by/handle/data/94735
dc.description.abstractAutonomous intelligent unmanned system is the future development direction of artificial intelligence. In order to solve the problems of strong non-linearity, multi-variable strong coupling, multi-data source fusion, uncertainty, unclear mechanism and difficult to describe with accurate mathematical model in the production process of the end cover production line. We provide the theoretical method and application basis for the autonomous intelligent collaborative optimization of the production line in the workshop IoT environment, and provide the project demonstration for the intelligent autonomous unmanned green manufacturing of the production line.ru
dc.language.isocnru
dc.publisherБНТУru
dc.title数据-模型混合驱动的端盖生产线自主智能协同优化方法研究ru
dc.title.alternativeResearch on autonomous intelligent collaborative optimization method of end cover production line based on data-model hybrid driveru
dc.typeWorking Paperru


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