Siemens CP343-1 Ethernet Module, 6GK7343-1CX10-0XE0, Industrial Automation

Brand:Siemens

Model:6GK7343-1CX10-0XE0

Net Weight (kg):0.299

Packaging Dimension:13.20 x 14.80 x 5.10 cm

Ethernet Protocol Support:[“TCP/IP”,”UDP”,”Multicast”]

Communication Modes:[“SEND/RECEIVE”,”RFC1006″,”Fetch/Write”]

S7 Communication:Server

PROFINET Integration:Device

Switch Feature:ERTEC 200

Module Replacement Compatibility:Without PG

SNMP Diagnostics:Available

Initialization Method:Via LAN

Network Interface:2x RJ45

Speed:10/100 Mbit/s

    Engineered for robust performance and reliability, the Siemens CP343-1 Ethernet Module is an essential piece of equipment for enhancing the connectivity and efficiency of industrial automation processes. With its compatibility across various industrial Ethernet standards, this module ensures seamless integration with existing systems, significantly improving data transfer speeds and reducing network latency.

    Featuring a lightweight yet sturdy design, the CP343-1 is meticulously crafted for durability in harsh industrial environments. Its compact size makes it easy to install and integrate into diverse setups without compromising on functionality or performance.

    This Ethernet module supports advanced communication protocols including TCP/IP, UDP, and Multicast, enabling versatile communication capabilities within the industrial network. It also facilitates SEND/RECEIVE operations with or without RFC1006, ensuring flexibility in data handling and processing.

    Integrated SNMP diagnostics provide real-time monitoring and troubleshooting capabilities, allowing users to quickly identify and resolve issues, enhancing system uptime and productivity. Initialization through the local area network (LAN) simplifies the setup process, streamlining the deployment of the module.

    Equipped with two RJ45 connections for LAN, the CP343-1 offers high-speed data transfer rates, up to 10/100 Mbit/s, ensuring reliable and fast communication between devices. This feature is crucial for managing large volumes of data in real-time applications, such as process control and monitoring systems.