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Bokaro Steel Plant Begins Trial Of Its AI Based Predictive Monitoring System
Bokaro Steel Plant Begins Trial Of Its AI Based Predictive Monitoring System

Bokaro Steel Plant Begins Trial Of Its AI Based Predictive Monitoring System

BSL has collaborated with Hyderabad-based company M/S MINTO AI for enhancing the predictive system.

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Key takeaways

  • Bokaro Steel Plant has initiated trials of an AI-based Predictive Monitoring System to enhance digital transformation.
  • The collaboration with M/S MINTO AI aims to improve transparency, productivity, and efficiency in steel production.
  • Smart sensors have been installed on critical equipment to provide operational intelligence for maintenance planning.
  • The system leverages AI, deep process knowledge, and physics for real-time monitoring and alerts.
  • This initiative marks a significant step towards modernising operational processes at BSL.
5 min

The Bokaro Steel Plant (BSL) recently began the trial of its Artificial Intelligence (AI) based Predictive Monitoring System. BSL, a unit of Steel Authority of India Limited (SAIL), is on the verge of digital transformation for better transparency, productivity and efficiency for its core steel production process.

BSL has collaborated with Hyderabad-based company M/S MINTO AI for enhancing the predictive system. Under the following trial, current based smart sensors have been installed at equipment such as cold screen motor of Sinter Plant, rotation motor for material distribution in blast furnace and crane main hoist motors at Hot Strip Mill, which work on the “Spidersense”, and an Industrial Internet on Things (IoT) platform of M/S MINTO AI.

“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,” said Manikant Dhan, Chief of communication, BSL.  

Dhan added saying, “These sensors use AI, deep process knowledge and physics to provide operational intelligence to plant engineers and operators which help in planning the maintenance based on predictive monitoring and alerts.”

The convener of the Centre coordinated the trial execution of this predictive monitoring system for Digital Transformation, Saurabh Singh, who is senior manager of the Energy Management Department (EMD) in BSL. 

Speaking on trial, 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.”

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