Russian scientists are developing a digital twin of a production worker

Specialists from the Russian National Research University have developed a system for collecting data on a worker's work to prevent the occurrence of work-related injuries and equipment failure.

The press service of the Russian National Technology Initiative platform said that specialists, using sensors and software based on artificial intelligence technologies, created a digital file of the worker and a piece of production equipment. They equipped the employees' work suits and equipment with lightweight sensors and ensured that the data was transmitted via a wireless network to the information processing center.

As project leader Artem Simakovsky explained, the digital twin in production makes it possible to monitor work in real time, ensure the safety of employees and workers, reduce equipment downtime and reduce the number of delayed projects, while at the same time increasing the speed of execution of ongoing tasks.

He explained: “If a worker on a construction site enters a potentially dangerous area, for example, under a crane, the management and the worker himself receive an alarm notification through a sensor receiver built into his helmet, which allows the worker to avoid accidents and injuries, as well as Production stopped and losses amounting to millions of rubles.

The peculiarity of the project lies in the decision support system based on artificial intelligence recommendations. Unlike its counterparts, the new system automatically counts working time, is easily transmitted from the helmet to the equipment, and also analyzes the weather condition.

The project has been selected to participate in the “Archipelago” Forum, which will be held next July on Russia’s Sakhalin Peninsula, where project owners will have the opportunity to present their innovation to potential investors and dealers, as well as development institutions.