# 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