Maintenance

From CMMS integration through to ML-driven asset health scoring — built to eliminate unplanned downtime and maximise asset reliability.

Integrated Asset Intelligence

Six capabilities form a continuous data and decision-making chain.

01 — CMMS Integration

Connect Your Existing Systems

• Integration with any existing CMMS
• Complete visibility into maintenance tasks, work orders, and asset histories
• Transactional maintenance data unified with operational analytics
• Enhanced reliability and uptime through integrated insights

02 — Sensor Data

Real-Time Operational Visibility

• Historian implementation
• Ingestion of sensor data from all assets
• Real-time visibility of operations
• Continuous data flow for further analytics

03 — Downtime Analysis

Pinpoint and Eliminate Loss

• Time-usage model for downtime analysis
• Tracking downtime events to pinpoint issues
• Root cause insights to reduce future losses

04 — Condition Monitoring

Continuous Asset Condition Awareness

• Digital platform unifying condition data with process parameters
• Continuous monitoring of asset conditions in real time
• Early detection of degradation or anomalies
• Support for predictive maintenance decisions

05 — Failure Prediction

Anticipate Failures Before They Happen

• Weibull distribution for failure prediction modelling
• Predictive algorithms to anticipate failures
• Early warnings to prevent unexpected downtime
• Prioritisation of maintenance based on failure risk

06 — Asset Health

ML-Driven Health Scoring

• Machine learning-based asset health scoring
• Real-time visualisation of plant condition
• Stoplight methodology: Green, Amber, Red status
• Immediate focus on critical assets for action