PLANT RELIABILITY.
Equipment Faults + Process Anomalies
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PlantOS™ Prescriptive AI.
Enter your official work email to unlock specs delivering
3 outcomes in 1 prescription — zero guesswork.
Downtime Eliminated
Acted Upon
FROM NOISE
TO OUTCOMES.
Mechanical Faults
Vibration, wear & bearing degradation
Physics + AI models detect bearing defects, roller lubrication failure, and mill tripping conditions across Raw Mills, Coal Mills, and Kiln roller assemblies before they cascade into unplanned downtime.
Electrical Faults
Drive anomalies & energy drift
Continuous monitoring across PLCs, DCS, and Energy Meters at Line 1, Line 2, Line 3, CPP, and WHRS surfaces load imbalances and drive anomalies before they impact Captive Power Plant or Waste Heat Recovery output.
Process Induced Faults
Parameter drift & SHC deviation
24×7 monitoring across Crusher, Raw Material Handling, Clinkerization, Cooler, and Grinding sections detects process shifts — like moisture overshoot in CFA or kiln roller temperature rise — before they hit Specific Heat Consumption or throughput.
6 areas. 492 KPIs. One Single Source of Truth.
How Star Cement unified 4 plants — from the Meghalaya Integrated Unit to the Guwahati Grinding Unit — across Mines, Crushers, Raw Mills, Kilns, Coolers, CPP, and WHRS into a single contextualized source of truth. Logbooks, SAP, DCS, PLCs, Energy Meters, and Quality Systems — all ingested.
Contextualization layerPhysics + AI: precision that predictions can't match
PlantOS™ doesn't flag anomalies. It traces root cause — across mechanical, electrical, and process domains — with 99.97% accuracy. Zero missed faults across 492 KPIs spanning Line Material Handling to Clinkerization.
Intelligence layerDiagnostic → Recommendation → Action
18 prescriptions executed at 99% acted-upon rate. Specific Diagnostic Reports — not vague alerts — moved Star Cement from "what is wrong?" to "fix this now." Roller bearing lubrication replaced. CFA moisture controlled. Work orders that close.
Prescriptive engineOutcomes the plant's own operators signed off on
46 hours of unplanned downtime prevented. 10 TPH throughput uplift. 920,000 kCal SHC saved. 600 tons of clinker production preserved. 5% MTBF increase. ₹47.8 Mn annual savings. All validated by Star Cement's own Reliability & Operations teams.
Validated outcomesPrediction
≠
Outcomes.
Most AI deployments stop at the alert. They predict. They visualize. They dashboard. But prediction without a closed loop is just a more expensive alarm bell.
Star Cement’s deployment with PlantOS™ proves the gap isn’t in the model — it’s in the mile between insight and action. The 99% Trust Loop™ is what bridges it. And at Star Cement’s scale — 4 plants, 19 integrated systems, 492 KPIs — the results don’t just compound. The pay back was 10X in under 6 months.
The biggest change was the immediate establishment of a single source of truth. We moved from reactive chaos to proactive control.
Mr. Dhawan Soni
E&I Head, Star Cement
GET THE COMPLETE PICTURE.
The numbers above are the headline. The full story reveals the real challenges Star Cement faced — building a unified digital nervous system across Mines, Kilns, Grinding, and Dispatch; integrating legacy logbooks and SAP alongside modern DCS/PLC infrastructure; and moving operations teams from reactive firefighting to AI-assisted decision-making — and exactly how PlantOS™ flipped the script, delivering 10X ROI in less than 6 months.
Real PlantOS™ Process Diagnostic Reports from live Star Cement deployments
Equipment-level fault detection across Raw Mills, Kilns, Coal Mills & Coolers
The 99% Trust Loop™ framework — step by step
User-validated outcome data, confirmed by Star Cement's E&I and Operations team.
Thank you for your interest in
PlantOS™ Prescriptive AI.
Enter your official work email to unlock specs delivering
3 outcomes in 1 prescription — zero guesswork.
Infinite Uptime × Star Cement
A PlantOS™ Transformation Story · Production Outcomes. Delivered.
