GE Fanuc IC693CMM321 Ethernet Controller Module – Industrial Networking Innovation
The GE Fanuc IC693CMM321 Ethernet Controller Module is an essential component for industrial automation systems, designed for seamless integration and enhanced connectivity.
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Phone:+86 18005021035
Name:BeiLin
Content details
Type:Ethernet Interface Module
Connection Accessories:AAUI Cable, External Transceiver
Ports:3
Module Width:Single Slot
Compatibility:GE PLCs
Protocol Support:TCP/IP, UDP, Modbus TCP
Data Transfer Rate:Up to 10 Mbps
Power Consumption:Less than 2W
Operating Temperature:-40°C to +70°C
Storage Temperature:-50°C to +85°C
Dimensions:110mm x 55mm x 46mm
Weight:Approx. 150g
The GE-FANUC IC693CMM321 Ethernet Controller Module is engineered to meet the stringent demands of industrial applications. Its robust design ensures reliable operation in harsh environments, making it ideal for factories, plants, and other industrial settings where robust network infrastructure is crucial.
Featuring advanced TCP/IP and MODBUS-TCP protocols, this module facilitates seamless integration with a wide array of industrial systems, enhancing productivity through efficient data exchange and control. Its support for up to 100Mbps data transfer rates ensures swift communication, critical for real-time monitoring and control.
Designed for ease of integration, the IC693CMM321 comes equipped with a RJ45 Ethernet interface, compatible with standard twisted-pair cables. This feature allows for straightforward installation and connectivity without the need for specialized equipment.
With its wide operating temperature range (-40°C to +70°C), the module is suitable for deployment in various climates, ensuring consistent performance throughout the year. The IP20 reliability rating further underscores its durability against dust and light splashes, enhancing operational uptime.
Offering a memory capacity of 1 MB Flash and 32 KB RAM, the IC693CMM321 Ethernet Controller Module supports extensive program storage and processing capabilities. This enables users to implement sophisticated control algorithms and manage large datasets efficiently, contributing to enhanced system performance and decision-making.