Keep Kilns Firing, Mills Grinding, and Clinker Flowing — Without Surprise Shutdowns

Prescriptive maintenance in cement plants uses AI and real-time data to detect early faults in critical equipment and recommend corrective actions before failures occur.

It analyzes data from kilns, vertical roller mills (VRMs), ball mills, and preheater fans to identify issues like misalignment, wear, and imbalance. By guiding operators on what action to take and when, it helps prevent shutdowns, reduce downtime, and improve energy efficiency.

Online condition monitoring in cement manufacturing is the continuous, real-time tracking of equipment health using sensors and digital systems.

It monitors vibration, temperature, pressure, and load conditions across critical assets like kilns, mills, and fans. This enables early fault detection, prevents unexpected failures, and ensures stable, continuous production.

Cement plants run aging assets (30-40+ years) under extreme heat, dust, and loads—positioning them perfectly for PlantOS™ Prescriptive AI to prevent downtime on kilns, mills, and fans while cutting energy per tonne. Tailored vertical model fuse high-fidelity sensor data with PLC/DCS data for unmatched reliability, throughput, & efficiency.

Unlike alerts-only systems, PlantOS™ prescribes exact fixes with 99.97% accuracy, drives trust through operator adoption via the 99% Trust Loop™, and validates outcomes—delivering proven reliability, throughput, and efficiency for cement operations.

Rotary kilns, ball mills, Vertical Roller Mills, preheater cyclones, preheater fans, roller press, compressors & more—merging high-frequency sensor data with PLC/DCS historians to detect mechanical, electrical, and process faults early.

Star Cement: 10x ROI in <6 months, 46 hrs downtime saved, 10 TPH throughput gain, 920k kcal SHC reduction across 4 plants.
SPCC successfully moved from reactive firefighting to semi-autonomous operations with $175,105 savings in annual maintenance.

Pilots deliver validated gains in 6-12 months via Production Outcomes-as-a-Service – like Star Cement’s 10x ROI and SPCC’s9x ROI in less than 6 months with $175,105 savings in annual maintenance without capex risks, scaling reliability fast.

Yes—PlantOS™ seamlessly unifies data from PLCs, DCS historians, energy meters, SAP/ERP, MES, CMMS, and QMS logbooks, into one the world’s most user-validated Prescriptive AI platform, providing full operational context without disrupting workflows or requiring hardware changes.

PlantOS™ targets inefficiencies like mill overloads, fan imbalances, and kiln process faults—as proven at Star Cement, where it saved 920k kcal in Specific Heat Consumption (SHC) across 4 plants, cut kWh/tonne, and stabilized clinker quality while boosting throughput by 10 TPH.