AI-Powered Machine Monitoring Is Being Rolled Out at a Siberian Factory
The new system has already improved equipment efficiency by 15 percent.
A machine-monitoring system is being introduced at the Obedinennyi Zapadno-Sibirskii Metallurgicheskii Kombinat, at a machining workshop. Only the first stage has been completed so far, but the results are already visible: equipment efficiency has increased by 15 percent, while time spent on changeovers and eliminating hidden losses has been reduced. Dmitry Stepanenko, head of the machining shop, said.
Collecting and Archiving Data
The system currently monitors 40 of the workshop’s most heavily used machines. Neural networks collect and archive operational data in real time, track workload levels, and even identify the causes of extended downtime. The data is accessible to all employees. The system’s interface is designed to be intuitive and easy to use.
At the second stage, another 61 machines are set to be connected. The project has already attracted interest from other machine-building units at the plant, where similar digital transformation efforts could help cut costs and optimize resource use.
Seeing the Full Picture
Earlier, we reported that a metallurgical company, Udokan Copper, set a daily rock-extraction record after deploying an automated open-pit mining management system.
