Number of Ports:1
Ethernet Protocol Support:TCP/IP, UDP, FTP, HTTP
Data Transfer Rate:10/100 Mbps
Power Supply:DC 24V
Operating Temperature Range:-40°C to +70°C
Dimensions (WxHxD):54mm x 114mm x 127mm
Weight:Approx. 0.3 kg
Connection Type:M8 connector
Compatibility:With GE FANUC 90-70 series PLCs
The GE FANUC IC693BEM340 is a robust high-speed Ethernet controller module, engineered for demanding industrial environments. It leverages advanced processing capabilities to deliver unparalleled performance in data-intensive applications. With its high clock speed of 100 MHz, it ensures swift communication and processing of large volumes of data, significantly boosting operational efficiency.
Featuring two IEEE 802.3 compliant Ethernet ports, the module supports a maximum data rate of 100 Mbps, ensuring fast and reliable data transfer. Its integrated memory capacity of 32 MB RAM and 4 MB Flash provides ample space for storing application code and configuration data, facilitating flexible and dynamic system setups.
Engineered to withstand harsh industrial conditions, this controller operates within a wide temperature range from -40°C to 70°C, ensuring reliable performance in diverse environments. The compact dimensions of 5.6 x 6.4 x 1.4 inches make it easy to integrate into various control panel layouts, without compromising on functionality.
In addition to its core processing and networking capabilities, the GE FANUC IC693BEM340 supports seamless integration with a wide range of field devices and higher-level control systems, thanks to its compatibility with various industrial protocols. This facilitates a cohesive and interconnected automation landscape, optimizing workflows and enhancing overall system reliability.
Designed with efficiency and reliability in mind, the GE FANUC IC693BEM340 controller module is an ideal choice for modern industrial automation projects. Its combination of high-speed Ethernet connectivity, robust processing power, and versatile compatibility makes it a cornerstone in achieving streamlined production processes and maximizing operational outcomes.
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