Protocol:ControlNet
Connection Type:Dual Fiber Optic Channel
Distance Capacity:Up to 3000 meters
Connector Type:DIN Rail Mounting
Fiber Optic Type:62.5 / 125 µm Multimode
Operating Temperature Range:-40°C to +70°C
Power Supply Voltage:DC 24V
Load Current:Sink/Source Input Module, up to 10 mA
Relay Output Capacity:Up to 24 VDC, 250 mA
Integrating cutting-edge fiber optic technology, the Allen-Bradley 1786-RPFM Dual Fiber Optic Channel ensures unparalleled reliability and performance in industrial automation networks. Its dual optical channels are specifically engineered for the ControlNet protocol, enabling seamless and secure data exchange over extended distances of up to 3000 meters.
Designed for durability and efficiency, this component boasts a robust fiber optic design that ensures minimal signal degradation over long spans, making it ideal for demanding environments where reliability is paramount. The use of high-speed fiber allows for faster data transfer rates, enhancing operational efficiency and responsiveness in complex industrial systems.
Featuring a DIN rail mounting system, the Allen-Bradley 1786-RPFM is easily integrated into existing control panel configurations without the need for extensive modifications. This modular approach facilitates quick installation and maintenance, contributing to streamlined workflow and reduced downtime.
Compatibility with 62.5 / 125 μm multimode fiber ensures broad applicability across various industrial settings, catering to diverse network requirements. Whether you’re working on legacy systems or integrating new technologies, the Allen-Bradley 1786-RPFM offers a versatile solution that seamlessly fits into your existing infrastructure.
Backed by Allen-Bradley’s reputation for quality and innovation, the 1786-RPFM Dual Fiber Optic Channel is a trusted choice for professionals seeking a reliable and efficient connection for their ControlNet-based systems. Experience enhanced data integrity and throughput with this state-of-the-art component, designed to drive productivity and optimize industrial operations.
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