Positioning
This service targets lower downtime, lower maintenance cost, and higher reliability by upgrading from experience-based maintenance to data-driven operations.
Functional Architecture
- Asset registry: equipment tree, templates, and lifecycle records.
- Inspection and maintenance: scheduled checks, PM tasks, and repair workflow.
- Spare parts: safety stock, in/out records, consumption analytics, compatibility mapping.
- Real-time monitoring: running/idle/fault status and alarm events.
- KPI analytics: OEE, fault rate, MTTR, MTBF, and operation quality metrics.
Typical Data Flow
- Acquire equipment status and key operating parameters.
- Trigger graded alerts for abnormal events.
- Auto-dispatch inspection, PM, or repair tasks.
- Write back outcomes into equipment history.
- Optimize maintenance and spare-part strategy with KPI reviews.
Project-Level Reference Outcomes
- Drying efficiency improved by about
50%. - Energy consumption reduced by about
80%. - Equipment OEE performance improved by about
20%. - Paperless inspection and maintenance improved response speed.
Image Suggestions (Replaceable)
- Equipment management architecture:
/images/placeholders/en/services/equipment-health-management/cover.jpg - Real-time monitoring and alarm dashboard:
/images/placeholders/en/services/equipment-health-management/scene-01.jpg - Inspection and maintenance loop flow:
/images/placeholders/en/services/equipment-health-management/scene-02.jpg - OEE/MTBF/MTTR analytics screen:
/images/placeholders/en/services/equipment-health-management/scene-03.jpg