Our client is one of the top three steel and vanadium manufacturers in the world, their products are widely used in metallurgy, petroleum, railway, chemical, shipbuilding, construction, machinery manufacturing, home appliances and other industries. Their customers are from various countries and regions in Asia, Europe, and the Americas.
Our core team use AI technology to model and analyze the steelmaking operation process and key parameters, recommend the optimal parameters, control the consumption of raw materials, and improve efficiency.
Lack of standardised procedures, workers’ operations are based on their own experience.
Process indicators change frequently, and mechanism analysis has little effect in daily operations.
We recommend the optimal parameters for the feeding and slagging process in the steelmaking process. By Using artificial intelligence technology to intelligently analyze and grade the surface quality of strip steel;
We leverage a Multi-theme, multi-parameter, multi-dimensional data intelligent analysis, and establish a large production screen, and visual real-time monitoring.
Quality Control and loss Reduction
Comprehensive cost reduction per ton of steel
Save at least 10 million yuan in costs for the company every year