THE DIGITAL TWIN OF A MOBILE TRANSPORT ROBOT 

Maksim A. Shcherbakov, Deputy director of digital transformation, Research and Production Enterprise "Istok" named after A.I. Shokin (2а Vokzalnaya street, Fryazino, Moscow region, Russia), mashcherbakov@istokmw.ru
Nikita V. Azarnov, Engineer, Research and Production Enterprise "Istok" named after A.I. Shokin (2а Vokzalnaya street, Fryazino,
Moscow region, Russia), nvazarnov@istokmw.ru
Sergey D. Kashitsyn, Project administrator, Research and Production Enterprise "Istok" named after A.I. Shokin (2а Vokzalnaya street, Fryazino, Moscow region, Russia); lecturer, MIREA – Russian Technological University (Fryazino branch) (2а Vokzalnaya street, Fryazino, Moscow region, Russia), sedkashitsyn@istokmw.ru
Aleksandr P. Kushnir, Candidate of technical sciences, associate professor of the sub-department of industrial informatics, MIREA – Russian Technological University (78 Vernadskogo avenue, Moscow, Russia), 89169521579@ya.ru
Anna M. Volodina, Senior lecturer of the sub-department of industrial informatics, MIREA – Russian Technological University (78 Vernadskogo avenue, Moscow, Russia), akholopova@mail.ru

Background. Modern production is developing in accordance with the six directions of Industry 4.0. This article discusses two of them – PLM (Product Lifecycle Management) and Smart Factory as concepts that are inextricably linked with the concept of «digital twin». The relevance of this technology, as shown in, is due to the importance of digital transformation in the logistics industry and its impact on competitive advantages over other enterprises. The purpose of the work is to predict the parameters of the state of a mobile robot based on the formation of information links between a digital twin and a physical object. Materials and methods. The research is based on the interaction of MES/APS systems (Manufacturing Execution System/Advanced Planning and Scheduling) in combination with IIoT (Industrial Internet of Things), mobile robots, as well as dynamic modeling methods. Results. Simulation models of mobile industrial robot drives have been developed, and algorithms for interaction between a digital twin and a physical object have been proposed. Conclusions. The proposed method of intelligent control and monitoring makes it possible to increase the reliability of the MES system based on predicting parametric failures of a mobile robot.

digital production, digital twin, Internet of Things, autonomous robot, logistics, drive, battery, aging, monitoring, SimInTech, CALS technologies

Shcherbakov M.A., Azarnov N.V., Kashitsyn S.D., Kushnir A.P., Volodina A.M. The digital twin of a mobile transport robot. Izmerenie. Monitoring. Upravlenie. Kontrol' = Measuring. Monitoring. Management. Control. 2025;(3):52–66. (In Russ.). doi: 10.21685/2307-5538-2025-3-7