Rusal has developed and is testing an innovative container management system using artificial intelligence, which significantly speeds up the process of sending them for aluminum loading.
This technology, created by the "RUSAL Engineering and Technology Center" ("RUSAL ETC"), forms a virtual twin of the container terminal, recording the location and numbers of all containers using machine vision and GPS positioning. Thanks to this system, the time for searching and delivering a container has been reduced from half an hour to several minutes.
The project, which is being tested at the Krasnoyarsk Aluminum Plant (KrAZ) terminal, has already received the "ComNews Awards" for the best digital logistics solution in metallurgy. Containers and loaders are equipped with cameras that use machine learning to recognize containers, their numbers, weight, and volume. The loader operator receives real-time data on the exact location of the required container via a tablet.
The implementation of this technology is part of KrAZ's comprehensive plan to increase aluminum shipments in containers by 60% within two years. As part of the program, the first stage of a concrete platform for multi-level container storage was built, which improves the logistics infrastructure. The construction of the second stage is planned for next year. This approach to the digitalization of logistics processes increases the safety of cargo, efficiency, and convenience of multimodal transportation, strengthening Rusal's leading position in the industry.
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