Computer Vision Based Machine Learning (CVML) in Steel Melt Shop

JSW Steel Ltd, Dolvi Works is India's first to adopt a combination of Conarc Technology for primary steel-making, aiding the production of hot rolled coils. In the current era of digitalization around the globe, CVML based projects are less in number in the hardcore manufacturing domain. In JSW Steel Ltd,Dolvi Works, we have started using CV/ML based approach in Steel Melt shop 1. To meet the increasing demand for liquid steel by reducing processing time, we collected relevant quantitative data and identified the key bottlenecks such as micro activities in setup duration of Primary Steel Making at Steel melting shop. Reduction in Setup duration variation are imperative for increasing throughput.This Book aims to monitor the Setup duration micro activities by using advanced automated camera vision with Machine learning technology. Furthermore, it provides real time visual representation of current heat and Comparative study of historical heats. The computer-based ML can be used without any manual intervention to identify hidden delays and then take corrective action to remove the delays, unplanned activities and it results enhancing the production.

Autorentext

Herr Gedela Praveen (Assistant Manager - SMS 1) hat unter der Leitung von Herrn Sanjay V Gurme (Vice President - SMS 1) ein CVML-Projekt im Stahlschmelzwerk durchgeführt.

Klappentext

JSW Steel Ltd, Dolvi Works is India's first to adopt a combination of Conarc Technology for primary steel-making, aiding the production of hot rolled coils. In the current era of digitalization around the globe, CVML based projects are less in number in the hardcore manufacturing domain. In JSW Steel Ltd,Dolvi Works, we have started using CV/ML based approach in Steel Melt shop 1. To meet the increasing demand for liquid steel by reducing processing time, we collected relevant quantitative data and identified the key bottlenecks such as micro activities in setup duration of Primary Steel Making at Steel melting shop. Reduction in Setup duration variation are imperative for increasing throughput.This Book aims to monitor the Setup duration micro activities by using advanced automated camera vision with Machine learning technology. Furthermore, it provides real time visual representation of current heat and Comparative study of historical heats. The computer-based ML can be used without any manual intervention to identify hidden delays and then take corrective action to remove the delays, unplanned activities and it results enhancing the production.