Every cement plant operator round starts the same way — walk the floor, check the gauges, note anything that looks or sounds wrong. The difference between a round that catches problems early and one that just confirms nothing has obviously broken
Oxmaint automates work orders, powers predictive maintenance, tracks assets with QR codes, streamlines inventory and ensures compliance — using AI Vision and NVIDIA technology — across every kiln, mill, crusher and conveyor in your plant.
Assets Tracked
Active WOs
AI Detection
Prediction
AI Vision · Kiln shell crack detected
99.4% confidence · WO auto-created · Tech assigned
Predictive · Mill bearing anomaly flagged
Sensor data · Parts auto-reserved from inventory
QR Scan · Crusher inspection logged
Photos attached · Checklist complete · Synced
Inventory · Bearing kit auto-reserved
Stock updated · Reorder alert raised to purchasing
From sensor connection to automatic work orders across your plant.
Plug in IoT sensors, AI cameras and PLC feeds, then QR-tag every asset.
Vision AI watches for defects 24/7 while predictive models flag failures early.
Work orders are auto-created, techs assigned, parts reserved and synced to SAP.
Every resolved issue sharpens the model — shift summaries and analytics auto-generated.
NVIDIA-powered cameras detect cracks, corrosion, leaks, abnormal heat and PPE violations at 99.2% accuracy — turning any camera feed into round-the-clock inspection. Detections on a kiln shell, crusher zone or conveyor transfer point create a prioritised work order with photo evidence and the right technician attached.
Kiln shells, structures & equipment
Abnormal heat on rotating equipment
Hard hat, vest & goggles monitoring
Detection → WO → tech assigned
Crack detected · 99.4% confidence
PPE compliant · No violations
Belt misalignment · 97.1% confidence
Emission normal · No dust leak
Oxmaint connects directly to sensors and PLCs on your kiln bearings, mill gearboxes, ID fans and crushers, analysing vibration, temperature and runtime trends at 94% prediction accuracy. When degradation appears, a proactive work order is generated with parts pre-reserved and the right technician assigned — no manual trend reviews.
Direct PLC & SCADA integration
94% accuracy on failure prediction
Auto-created with parts & crew
Health scores per asset
Vibration anomaly detected · Bearing kit auto-reserved
Temperature trending up · WO scheduled for next window
All parameters within baseline · No action required
Tag every kiln station, crusher, mill, fan and conveyor with a QR label — one scan shows health score, last PM, open WOs and full history in seconds. One tap creates a work order, logs an inspection or reports an issue with the asset already linked, and it works fully offline in no-signal areas of the plant.
Health score, history & open WOs
Create, log or report from scan result
Syncs when connection restores
Generate for all plant assets at once
Location: Quarry · Serial: JC-2019-04A
Maintenance History
WO-5847 · Liner replacement · Completed 12d ago
Inspection · Wear check · Photos attached
WO-5621 · Bearing lube · Completed 28d ago
Beyond AI Vision and predictive — inspections, shift handovers, shutdowns, parts, compliance, analytics and ERP integration.
Digital checklists with photo capture and AI-generated templates per asset type. Failed items trigger corrective work orders instantly.
Plain-language shift summaries covering completed tasks, open issues and follow-ups — zero information loss at crew change.
AI-optimised task sequencing for annual kiln shutdowns — scope work, allocate parts, assign contractors and track progress through the outage.
AI-driven inventory with automated reorder alerts — parts are auto-reserved the moment a predictive WO is created.
Safety checklists and traceable audit trails, AI Vision PPE monitoring, and incident reports with 5-Why root cause analysis.
Live dashboards and auto-generated reports for PM compliance, costs, backlog and equipment performance across the plant.
AI-triggered POs with automated approvals and vendor management — every cost traceable to the asset and job that consumed it.
Real-time bidirectional sync with SAP PM, MM and EAM — work orders, parts, costs and asset health, AI-enriched before they reach your ERP.
From predictive kiln monitoring to automated compliance tracking — three typical deployments.
The Problem
A 3,400 TPD dual-kiln plant was losing production to unplanned shutdowns and emergency rotating equipment failures — most WOs were triggered by failure, not schedule.
What Oxmaint Did
Predictive monitoring on critical rotating assets — kiln drive, preheater fans, raw mill and cement mill — with sensor data auto-generating WOs, parts and procedures on anomaly.
Less kiln downtime
To full results
Dual-kiln plant
Vibration, temperature and runtime from kiln drive, fans and mills analysed to flag bearing and gearbox degradation early.
Detected anomalies created WOs automatically with parts reserved, procedures attached and the right technician assigned.
Direct SCADA connection — vibration probes, temperature sensors and motor current ingested without replacing existing hardware.
Real-time health scores per asset replaced weekly manual trend reviews with continuous monitoring.
The Problem
A 3.8 MTPA dual-kiln plant ran mostly reactive maintenance — paper logbooks, no structured PM, no centralised asset history — with unplanned stops across kiln, mill and crusher circuits.
What Oxmaint Did
Full deployment — asset registry, OPC-UA sensor integration, mobile rollout for 52 technicians, PM scheduling and compliance configuration — completed in 38 days with no production disruption.
Fewer unplanned stops
Full deployment
Technicians on mobile
Time- and meter-based schedules replaced paper logbooks, with auto-generated WOs across kiln, mill and crusher circuits.
Every technician received WOs, logged completions and ran inspections from their phone — offline across plant, quarry and packing.
Every asset QR-tagged — scan for instant history, health score and one-tap work order creation.
Digital checklists with photo capture replaced paper safety forms and fragmented audit records.
The Problem
A multi-line cement manufacturer had sensors collecting data that never reached SAP or maintenance workflows — PM completion averaged just 41%, with most preventive tasks skipped.
What Oxmaint Did
Oxmaint connected to existing sensors and integrated bidirectionally with SAP — work orders, parts and costs flowed automatically, ending manual entry and double handling.
Less downtime
Cost reduction
Multi-kiln operation
WOs to SAP PM, parts to MM, asset health to EAM and costs to FI cost centers — bidirectional, with zero double entry.
Connected to existing vibration and temperature sensors across crushers, kilns, grinding circuits and bag filters — no new hardware.
Automated reorder alerts ended stockouts, with predictive WOs reserving parts before technicians arrived on site.
Inspection records, corrective action trails and condition documentation fall out of the workflow, not separate reporting.
Oxmaint integrates with SAP, Siemens PLCs, telematics and accounting systems — real-time bidirectional sync, both ways.
Explore All IntegrationsNVIDIA-powered cameras detect cracks, corrosion, leaks, abnormal heat and PPE violations at 99.2% accuracy. Each detection creates a prioritised work order with photo evidence attached, cutting inspection time by up to 80%.
Oxmaint connects directly to sensors, PLCs and machine feeds, analysing vibration, temperature and runtime trends at 94% prediction accuracy. Issues spotted before failure generate a proactive work order with parts auto-reserved and the right technician assigned.
Yes — both time-based and meter-based. Repeat daily, weekly, monthly or yearly, or trigger on runtime, operating hours or meter readings. Work orders auto-generate when due, with technicians assigned and advance notifications sent.
Yes. Technicians scan QR codes, receive work orders, log completions, take photos and run inspections with no connectivity — data syncs automatically when the connection returns. Available on iOS and Android.
Yes. Real-time bidirectional sync with SAP PM, MM, EAM and FI, with every record AI-enriched — predictive scores, failure flags and auto-reserved parts with PO triggers. Siemens PLCs connect via direct data feeds.
Yes. AI Vision and predictive models deploy on NVIDIA edge servers inside your plant, so all inference runs locally and process data never leaves your network. Supports DGX, HGX and EGX hardware.
Join 1,000+ maintenance teams automating work orders, predicting failures and keeping compliance records audit-ready.