The Crystallised AI Predictive Maintenance Dashboard is an industrial-grade monitoring and control system designed for real-time operational intelligence across distributed equipment fleets. The application provides operators, maintenance engineers, and facility managers with actionable insights into equipment health, alarm lifecycle management, and predictive maintenance workflows.

Purpose

The dashboard serves four primary functions:

Real-time Alarm Lifecycle Management — Operators can monitor active alarms through a complete lifecycle from NEW → UNACKNOWLEDGED → ACKNOWLEDGED → ASSIGNED → ACTIONED → RESOLVED. The system automatically prioritizes critical unacknowledged alarms and provides instant visibility into owner assignment, next actions, and escalation status. Delta values show exactly how far readings exceed thresholds (e.g., "+22 PSI over critical"), eliminating guesswork during high-pressure situations.

Asset Health Monitoring — Engineers gain visibility into device health scores, sensor readings, and degradation trends through interactive visualizations including geographic maps, digital twin floor plans with clickable equipment units, and tabular data views. Each device displays real-time metrics with threshold indicators, stale data warnings, and pattern detection explaining why alarms were triggered (drift, cross-sensor inconsistency, recurrence, trend accumulation, or spike patterns).

Configuration & Threshold Management — Administrators can configure global sensor thresholds with visual zone-based sliders, set device-specific overrides, manage user permissions, upload custom deployment photos, and configure scheduled alarm reports. All configuration changes take effect immediately without requiring system restarts.

Operational Intelligence & Reporting — The system provides clickable KPI cards that instantly filter to affected items, CSV export for offline analysis, bulk resolve workflows with resolution tracking, alarm storm suppression to prevent notification fatigue, and scheduled email reports summarizing critical trends and resolution rates.

Design Philosophy

The interface follows a Neo-Brutalist Industrial Functionalism aesthetic where icons serve as the primary language and text provides confirmation. This design reduces cognitive load during high-pressure operational scenarios by making critical information immediately recognizable through color-coded lifecycle state badges, sensor modality icons, directional trend arrows with explicit references, and delta values showing exact threshold exceedance.