Brief Function Introduction:
The Siemens 6ES7 317-2EK13-0AB0 CPU Module is a core component of the SIMATIC S7-300 PLC system, designed for industrial automation applications. It supports advanced control algorithms and data processing, enabling efficient management of manufacturing processes.
Product Specifications:
| Processor Type: | C200H CPU |
| Operating Voltage: | 24V DC |
| Memory Capacity: | 4K words |
| Programming Languages: | Ladder Diagram, Structured Text, Function Block Diagram |
| Communication Interfaces: | MPI, PROFINET |
| Operating Temperature Range: | -25°C to +60°C |
| Dimensions (WxHxD): | 125mm x 84mm x 134mm |
| Weight: | 0.8 kg |
Product Details:
The Siemens 6ES7 317-2EK13-0AB0 CPU Module is a powerful and reliable solution for complex industrial automation tasks. It is equipped with a high-performance C200H CPU, ensuring fast and accurate data processing. With its wide range of programming languages, users can easily implement custom control logic to meet specific production needs.
Featuring multiple communication interfaces, including MPI and PROFINET, this CPU module facilitates seamless integration with various devices and systems within the factory floor. Its robust design allows operation in a wide temperature range, making it suitable for use in diverse industrial environments.
The compact size and lightweight construction of the module make it easy to install and maintain, even in confined spaces. The 6ES7 317-2EK13-0AB0 is an excellent choice for enhancing the efficiency and flexibility of any modern industrial automation setup.
Designed with user-friendliness in mind, this CPU module comes with comprehensive documentation and support resources, enabling quick setup and minimizing downtime. It supports the latest software updates, ensuring compatibility with evolving automation technologies.
To ensure the longevity and performance of your automation system, consider upgrading to the Siemens 6ES7 317-2EK13-0AB0 CPU Module. This investment will lead to improved productivity, reduced maintenance costs, and enhanced overall operational efficiency.
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