Brief Function Introduction:
The Siemens SIMATIC S7-300 CPU Module 6ES7 312-1AE13-0AB0 is a high-performance control unit designed for efficient and reliable operation in industrial automation systems. It supports complex control strategies and integrates seamlessly with other components in the S7-300 series.
Product Specifications:
Processor Type: | C64 CPU |
Operating Voltage: | DC 24V |
Memory Capacity: | 2K Words |
Communication Interface: | MPI, PROFIBUS DP |
Power Consumption: | Up to 4W |
Operating Temperature Range: | -25°C to +60°C |
Storage Temperature Range: | -40°C to +85°C |
Dimensions (mm): | 113 x 101.5 x 90 |
Product Details:
The Siemens SIMATIC S7-300 CPU Module 6ES7 312-1AE13-0AB0 is equipped with a C64 CPU, ensuring swift processing capabilities essential for real-time control applications. Its robust design allows it to operate efficiently across a wide range of temperatures, making it suitable for various industrial environments.
With a memory capacity of 2K Words, this module offers ample storage space for program data and parameters, facilitating the implementation of complex control algorithms. The inclusion of multiple communication interfaces, including MPI and PROFIBUS DP, ensures seamless connectivity with other devices in the automation network.
The module is designed with energy efficiency in mind, consuming up to 4W of power when in operation, which helps in managing overall system energy consumption effectively. Additionally, its compact size of 113 x 101.5 x 90 mm makes it an ideal fit for space-constrained applications.
The Siemens SIMATIC S7-300 CPU Module 6ES7 312-1AE13-0AB0 is compatible with the entire S7-300 series, allowing for easy integration and scalability within existing or new automation systems. This compatibility ensures a smooth transition and expansion of automation capabilities without compromising on performance.
For maintenance and troubleshooting, the module provides comprehensive diagnostic tools and self-monitoring functions. These features enable users to quickly identify and resolve issues, reducing downtime and enhancing operational efficiency.
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