From "Reactive Maintenance" To "Predictive Maintenance": In-Depth Technical Analysis of Kawo Intelligent Monitoring System

From "Reactive Maintenance" to "Predictive Maintenance": In-Depth Technical Analysis of Kawo Intelligent Monitoring System

1. System Architecture

Hardware Layer
▸ Industrial-grade PLC (Siemens S7-1200)
▸ Vibration sensors (±0.1g accuracy)

Communication Layer
▸ Dual-mode 4G/Satellite transmission (for network-less areas)

Cloud Platform
▸ Big-data analytics fault pattern database (3,000+ case library)

2. Core Functions

Real-time Alerts
▸ Abnormal oil pressure (alerts triggered at <200kPa threshold)
▸ Abnormal cylinder temperature gradient (alarms when ΔT>15℃/min)

Efficiency Reports
▸ Auto-generated monthly fuel consumption/load rate curves

3. Customer Benefits

▸ 40% reduction in maintenance costs
▸ 75% decrease in unplanned downtime

(Technical Note: All parameter thresholds comply with ISO 8528-8 standards for generator set monitoring)

Key Advantages:

• Proactive Failure Prevention through machine learning algorithms

• Remote Diagnostics accessible via web/mobile interfaces

• Lifecycle Optimization with remaining useful life (RUL) predictions