ChinaManufacturing2025 – ongoingBaowu Steel
Pangu-based blast-furnace process model
Baowu's blast-furnace model saved 2 kilograms of fuel per tonne of iron, according to Huawei Cloud
Problem
Blast-furnace operations needed to control iron tapping temperature while limiting fuel consumption.
Approach
Baowu put a blast-furnace model into operation using Huawei Cloud's Pangu predictive-model technology. Huawei reported the deployment as an industrial process-optimization application.
Results
Takeaway
The reported results paired fuel savings with a temperature-quality measure. Huawei did not give a before-and-after temperature qualification rate.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Huawei Cloud reported that Baowu's operating blast-furnace model maintained a tapping-temperature qualification rate of at least 90%. It claimed fuel savings of 2 kilograms per tonne of iron, equivalent to 20 tonnes daily for a furnace.
Full details are in the original sources.