Scenario Challenges
- Device protocols vary across the plant and data standards are inconsistent.
- Status monitoring relies on manual checks, delaying issue detection.
- Data quality is uneven and difficult to use directly for analysis.
Core Capabilities
- Multi-protocol connectivity for PLCs, sensors, meters, and gateways.
- Real-time collection with edge buffering and resumable transmission.
- Monitoring and alerting with threshold rules, trend anomaly detection, and tiered notifications.
- Data governance with tag standards, validation rules, time alignment, and historical archiving.
Implementation Path
- Define critical devices and parameters with standardized data points.
- Deploy edge gateways and collectors to complete connectivity.
- Build dashboards and alert rules linked with ticket systems.
- Continuously optimize data quality and sampling strategies.
KPI System
- Device connectivity rate and collection completeness.
- Data timeliness and packet-loss rate.
- Alert accuracy and response lead time.
- Stability of critical equipment and mean recovery time.
Business Value
- Enable real-time visibility and early risk warning on equipment status.
- Improve response speed and maintenance collaboration.
- Provide high-quality data foundations for quality, energy, and predictive analytics.