AB 1756-RI0 ControlLogix I/O Modules

Model Number:1756-RI0

Manufacturer:Siemens

Module Type:Input/Output

I/O Points:Variable

Operating Voltage:12 to 24V DC

Communication Interfaces:ControlNet™ or EtherNet/IP™

Mounting:ControlLogix® Chassis

Wiring Connection:Removable Terminal Block (RTB) or Wiring Interface Module (IFM)

Dimensions:W x H x D

Weight:Approximately 1.00 lbs

Environmental Rating:Indoor Use Only

    The Allen Bradley 1756-RI0 ControlLogix I/O Modules are essential components for modern industrial automation systems, engineered to enhance efficiency and reliability. With their robust design, these modules offer a seamless integration into various control networks, ensuring smooth operation across diverse manufacturing environments.

    Featuring 16 channels, comprised of 8 digital inputs and 8 digital outputs, these modules cater to a wide range of industrial applications. Their compatibility with ControlNet and Ethernet protocols facilitates efficient data exchange, making them suitable for both local and distributed network architectures.

    Equipped with an operating voltage range of 12-24V DC, these modules are designed to withstand varying electrical demands without compromising performance. They are optimized for operation within a temperature range from -20°C to +60°C, ensuring reliability in extreme conditions commonly encountered in industrial settings.

    The Allen Bradley 1756-RI0 ControlLogix I/O Modules are known for their energy-efficient power consumption, with a maximum of 6.2 Watts, contributing to lower operational costs while maintaining high performance standards. This feature is particularly beneficial in large-scale operations where energy management is crucial.

    Designed with user convenience in mind, these modules come with a comprehensive set of features including real-time sampling, under range and over range detection, process alarms, rate alarm, and wire-off detection. These functionalities enhance system monitoring and maintenance, enabling operators to quickly identify and address potential issues, thereby minimizing downtime and improving overall productivity.