Advanced Programmable Logic Controller: 1769-L30ERMS – Engineered for Precision and Efficiency

Model Number:1769-L30ER

Type:Ethernet Communication Module

Connector Type:CompactLogix 5370

Ethernet Capacity:Dual Ethernet ports

Memory:1MB

Programming Interface:1x USB port

Network Compatibility:EtherNet/IP

I/O Ports:2x EtherNet/IP

Expansion Capability:8 I/O expansion

Ethernet IP Nodes:16

Power Supply:24V DC

Dimensions:5.4 x 0.9 x 4.2 inches

Weight:0.39 lbs

    The Allen-Bradley 1769-L30ERMS is an indispensable component for industrial automation, facilitating a robust communication network between PLCs, HMIs, and other peripherals. This Ethernet module supports EtherNet/IP, a widely adopted standard for industrial networks, ensuring compatibility and ease of integration with existing systems.

    Equipped with dual Ethernet ports, this module provides redundancy and increased bandwidth for mission-critical applications. Its compact design and lightweight construction make it suitable for both desktop and rack-mounted installations, enhancing flexibility and space efficiency on the factory floor.

    Featuring 1MB of memory, the 1769-L30ERMS can store large amounts of data and programming instructions, supporting complex control algorithms and real-time data processing. The inclusion of a USB programming port ensures easy setup, configuration, and maintenance, minimizing downtime during updates or troubleshooting.

    With 8 I/O expansion points, the module allows for versatile connectivity options, accommodating various sensors, actuators, and other devices essential for monitoring and controlling industrial processes. The ability to support up to 16 Ethernet IP nodes ensures a scalable network infrastructure capable of handling increased demand without compromising performance.

    Engineered for reliability and durability, the Allen-Bradley 1769-L30ERMS is built to withstand harsh industrial environments, delivering consistent performance over extended periods. It is an ideal choice for manufacturers looking to enhance their operational efficiency, streamline data management, and optimize resource utilization in their production lines.