The Siemens Robicon Cell Control Board 1A10000350.00M is a high-performance, versatile control board designed for advanced automation systems in manufacturing processes. It efficiently manages complex operations with precision and reliability.
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The Siemens Robicon Cell Control Board 1A10000350.00M is a high-performance, versatile control board designed for advanced automation systems in manufacturing processes. It efficiently manages complex operations with precision and reliability.
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Model Number:1A10000350.00M
Manufacturing Company:Siemens
Operating Voltage:AC/DC
Maximum Output Power:350W
Communication Interface:Ethernet, RS-485
Memory Capacity:128MB RAM, 128MB Flash
Operating Temperature Range:-20°C to 55°C
Dimensions:145mm x 110mm x 75mm
Weight:1.5kg
Certifications:[“CE”,”UL”,”ISO 9001″]
The Siemens Robicon Cell Control Board 1A10000350.00M is engineered to deliver exceptional control capabilities in high-speed production environments. Its robust design ensures reliable operation even under challenging conditions, making it an indispensable component in modern factories.
Featuring a high-performance 4 GHz processor and 8 GB DDR4 memory, this board provides the computational power needed for complex control algorithms and data processing. The integration of Siemens TIA Portal V16 allows for easy programming and customization to meet specific production needs.
With 32 input and 32 output ports, the board offers ample connectivity for various sensors and actuators, enabling precise control over machinery and processes. Its support for EtherCAT and Profinet communication interfaces ensures seamless interaction with a wide range of automation components.
Designed for versatility, the board operates within a temperature range of -20°C to +60°C, ensuring reliable performance across diverse environments. Its wide voltage range from 12V to 48V DC makes it suitable for use in different industrial settings.
The Siemens Robicon Cell Control Board 1A10000350.00M comes equipped with advanced diagnostics tools, providing real-time monitoring and predictive maintenance insights. This feature not only optimizes production efficiency but also reduces maintenance costs and downtime.
