Brief Function Introduction:
The Siemens 6ES7 314-1AF11-0AB0 CPU 314 Processor Module is an integral component of the SIMATIC S7-300 family, designed for efficient and reliable control applications in industrial settings. This compact yet powerful module ensures seamless integration with various Siemens PLC systems, offering advanced functionality and ease of use.
Product Specifications:
| Processor Type: | CPU 314 |
| Module Type: | Compact |
| Interface Type: | IFM |
| DI/DO Count: | 16 each |
| AI/AO Count: | 4 each |
| Power Supply Voltage: | 24V DC |
| Working Memory: | 32 KByte |
| Operating Temperature Range: | -25°C to 60°C |
| Dimensions (mm): | 118 x 90 x 220 |
| Weight: | 0.5kg |
Product Details:
The Siemens 6ES7 314-1AF11-0AB0 CPU 314 Processor Module is meticulously engineered for high performance and reliability in demanding industrial environments. Its compact design allows for easy integration into existing control systems, enhancing efficiency and reducing installation time.
Equipped with a robust 24V DC power supply, this module ensures stable operation even under fluctuating conditions, making it suitable for a wide range of industrial applications. The integrated interface facilitates smooth data exchange with other components within the network.
With 16 digital inputs (DI) and 16 digital outputs (DO), along with 4 analog inputs (AI) and 1 analog output (AO), the CPU 314 offers versatile control capabilities, enabling precise monitoring and adjustment of industrial processes.
Featuring a 32 KByte working memory, this module can handle complex control tasks efficiently, providing ample space for programming and storing control algorithms. The extensive documentation and compatibility with Siemens software tools ensure an effortless setup and maintenance process.
Operated within the temperature range of -25°C to 60°C, the CPU 314 is designed to withstand harsh industrial conditions, ensuring continuous operation without the risk of malfunction. Its lightweight design and compact size make it an ideal choice for space-constrained environments.
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