The Bokaro Steel Plant, a unit of Steel Authority of India Limited, recently announced that it has started testing its new AI-powered predictive monitoring system. This new development is expected to bring more transparency, productivity, and efficiency in various tasks involved in the steel production process.
Bokaro Steel Plant partnered with Hyderabad-based artificial intelligence company M/S MINTO AI to further enhance its artificial intelligence-powered predictive tool. BSL has installed numerous current-based sensors in various equipment, including the cold screen motor of Sinter Plant, rotation motor for material distribution in the blast furnace, and crane main hoist motors at Hot Strip Mill. The technology works on M/S MINTO AI’s Industrial Internet of Things platform named, Spidersense.
Manikant Dhan, the chief of communications at BSL, said, “A big leap has been achieved by BSL in the strategic direction of digital transformation with the beginning of trials of the Artificial Intelligence-based Predictive Monitoring System at various shops such as blast furnace, sinter plant and hot strip mill.”
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He further added that the installed sensors use many technologies, including artificial intelligence, physics, and deep process knowledge, to deliver operational intelligence in steel plants.
The newly deployed technology will help plant engineers and workers to effectively plan maintenance procedures based on predictive monitoring and alerts. Center of Digital Transformation supervised the trial execution of this predictive monitoring system.
Senior manager of Energy Management Department at BSL, Saurabh Singh, said, “The system has started collecting and storing various critical data on cloud which will be modelled under an algorithm for creating alerts and analytics. This will be able to help in machine health monitoring through digital technology.”
