ChinaChemicals and materials2025 – ongoingChina Minmetals Corporation
Salt Lake subsidiary centrifuge prediction and soft sensing
Minmetals' Salt Lake subsidiary used AI predictions to guide chemical-production adjustments
Problem
Qinghai Salt Lake Industry relied on manual production-data entry and experienced operators. Harsh operating conditions and limited sensor precision made production monitoring difficult.
Approach
The subsidiary developed centrifuge performance analysis and an AI predictive soft-sensing model at Qarhan Salt Lake. Its models predicted changes in production parameters and guided workers' process adjustments. A March 2025 report confirmed that the centrifuge project had entered use.
Results
No published figures
Takeaway
Workers used predicted process conditions to guide adjustments where direct measurement was difficult. Data governance accompanied the modeling work.
Categories
- Size
- Large enterprise
- Industry
- Chemicals and materials
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
SASAC reported that Minmetals' Salt Lake subsidiary had put centrifuge performance analysis and AI prediction into production use. It also described a separate crystallizer digital-twin project.
Liaowang described the subsidiary's centrifuge prediction and soft-sensing model at Qarhan Salt Lake. A company information-center manager described earlier weaknesses in manual data collection and sensor accuracy. The report said AI predictions guided production adjustments.
Full details are in the original sources.