ABB INNIS11 Bailey Network Interface Slave Module 1500 Points Coming
ABB INNIS11 Bailey Network Interface Slave Module 1500 Points Coming Product Overview The ABB INNIS11 Symphony Network Interface Module is a robust, multi-functional component designed for seamless data exchange within industrial network infrastructures. Its modular construction simplifies integration into existing systems, delivering notable improvements in operational efficiency and system dependability. Key Features 1,500 points coming from the SOE I/O modules in up to 1
The ABB INNIS11 Symphony Network Interface Module is a robust, multi-functional component designed for seamless data exchange within industrial network infrastructures. Its modular construction simplifies integration into existing systems, delivering notable improvements in operational efficiency and system dependability.
- 1,500 points coming from the SOE I/O modules in up to 1,000 Harmony control units (HCU)
- 256 complex triggers with 16 operands each
- 3,000 simple triggers
- High-speed Ethernet connectivity with Modbus protocols
- OPC-UA compatibility for enhanced interoperability
- Compact form factor (100mm x 70mm x 25mm) for easy installation
- M12 connectors for secure, durable connections
- Supports real-time data processing and analysis
| Manufacturer | ABB |
|---|---|
| Product Number | INNIS11 |
| Product Type | Bailey Network Interface Slave Module |
| Operating Temperature | -20°C to +60°C |
| Power Consumption | ≤5W |
| Shipping Weight | 2 Kg |
Engineered for reliability in tough industrial environments, the ABB INNIS11 ensures consistent, uninterrupted performance year-round. Its low power consumption aligns with energy-efficient industrial practices while maintaining high performance standards.
Beyond standard hardware functionality, this module serves as a gateway to advanced automation. It enables predictive maintenance strategies, production workflow optimization, and overall industrial system performance enhancement through real-time data processing and analysis.
Estimated Lead Time: 2-3 weeks
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